Next Article in Journal
Revisiting Supersaturation of a Biopharmaceutical Classification System IIB Drug: Evaluation via a Multi-Cup Dissolution Approach and Molecular Dynamic Simulation
Next Article in Special Issue
The Nature of the Chemical Bonds of High-Valent Transition–Metal Oxo (M=O) and Peroxo (MOO) Compounds: A Historical Perspective of the Metal Oxyl–Radical Character by the Classical to Quantum Computations
Previous Article in Journal
Strategies for Improving Selectivity and Sensitivity of Schiff Base Fluorescent Chemosensors for Toxic and Heavy Metals
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Melatonin Activation by Human Cytochrome P450 Enzymes: A Comparison between Different Isozymes

Department of Chemical Engineering, Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
*
Author to whom correspondence should be addressed.
Molecules 2023, 28(19), 6961; https://doi.org/10.3390/molecules28196961
Submission received: 28 August 2023 / Revised: 30 September 2023 / Accepted: 2 October 2023 / Published: 6 October 2023
(This article belongs to the Special Issue Cytochrome P450)

Abstract

:
Cytochrome P450 enzymes in the human body play a pivotal role in both the biosynthesis and the degradation of the hormone melatonin. Melatonin plays a key role in circadian rhythms in the body, but its concentration is also linked to mood fluctuations as well as emotional well-being. In the present study, we present a computational analysis of the binding and activation of melatonin by various P450 isozymes that are known to yield different products and product distributions. In particular, the P450 isozymes 1A1, 1A2, and 1B1 generally react with melatonin to provide dominant aromatic hydroxylation at the C6-position, whereas the P450 2C19 isozyme mostly provides O-demethylation products. To gain insight into the origin of these product distributions of the P450 isozymes, we performed a comprehensive computational study of P450 2C19 isozymes and compared our work with previous studies on alternative isozymes. The work covers molecular mechanics, molecular dynamics and quantum mechanics approaches. Our work highlights major differences in the size and shape of the substrate binding pocket amongst the different P450 isozymes. Consequently, substrate binding and positioning in the active site varies substantially within the P450 isozymes. Thus, in P450 2C19, the substrate is oriented with its methoxy group pointing towards the heme, and therefore reacts favorably through hydrogen atom abstraction, leading to the production of O-demethylation products. On the other hand, the substrate-binding pockets in P450 1A1, 1A2, and 1B1 are tighter, direct the methoxy group away from the heme, and consequently activate an alternative site and lead to aromatic hydroxylation instead.

1. Introduction

Due to its substantial natural abundance on Earth, iron is a common element in metalloenzymes. The mononuclear iron-containing enzymes are categorized into two primary classes based on co-factor, namely, the non-heme iron [1,2,3,4,5,6,7] and heme-iron enzymes [8,9,10,11,12,13,14,15,16,17,18]. The heme-iron enzymes are further subdivided into heme monooxygenases, heme-catalases, heme-peroxidases and heme-dioxygenases based on their use of either O2 or H2O2 and the number of oxygen atoms that are transferred to the substrate. In this work, we focus on a special class of heme-monooxygenases, namely the cytochromes P450. These are important enzymes for human health, catalyze the majority of xenobiotic metabolism processes in the liver [19,20,21] and, in addition, are involved in hormone biosynthesis reactions including estrogen [22]. Despite years of scientific studies on the structure and catalytic mechanism of P450 enzymes, as well as their characterization, several key questions regarding P450 catalysis remain unanswered.
P450 isozymes are ubiquitous, and are found in nearly every form of life. To date, over 21,000 structures have been determined [23,24] and subsequently categorized into families and subfamilies based on structural homology and chemical functionality. While all P450 isozymes centrally incorporate an iron atom within a protoporphyrin IX group of a heme scaffold, they exhibit variations in overall protein architecture and folding. Diverse functional differences are evident among P450 isozymes, especially in the areas of substrate-binding, reactivity, selectivity, and catalytic turnover. To illustrate these structural variations, Figure 1 highlights extracts of P450 isozymes with a focus on the active site as obtained from the protein databank (pdb) [24] for three representative human P450 isozymes, namely, the P450 isozymes 3A4 (2J0D pdb [25]), P450 1B1 (6IQ5 pdb [26]), and P450 2C19 (4GQS pdb [27]). In each structure, the bound substrate (highlighted in grey spheres) is located on the distal site of the heme, adjacent to the I-helix of the protein. Upon close inspection of these structures, it is evident that all P450 isozymes possess analogous structural traits, including comparable helices constituting their secondary structure. However, the constituent amino acids in these chains exhibit considerable variations, which, in turn, affect the dimension, shape and form of the substrate binding pocket as well as the hydrophobicity of the active site environment. As a consequence, different P450 isozymes activate substrates differently, thereby leading to changes in the types of products obtained and the product distributions.
The catalytic cycle of P450 enzymes is well-documented and several transient species in the cycle have been trapped and characterized [8,9,10,11,12,13,14,15,28,29,30,31,32,33]. In the resting state, the heme exhibits an iron(III) or ferric oxidation state with the metal bound to the four nitrogen atoms of the heme in the equatorial plane. It also forms a bond with the thiolate group of a Cys residue in the axial position. This cysteinate axial ligand is a conserved residue in the P450 structure and has been linked with the biosynthesis and activity of the reactive species in the catalytic cycle, namely the iron(IV)-oxo heme cation radical, also referred to as Compound I (Cpd I). The opposite side of the heme with respect to the cysteinate residue is the distal site of the heme, where, in the resting state, a water molecule is bound, while, in its vicinity, the substrate positions itself in the active site. The nomenclature “P450” is derived from the Soret absorption band at 450 nm, observed in the CO-bound ferric complex [34,35]. All P450s partake in a catalytic cycle that requires two electrons from a redox partner and two protons from the solvent to produce Cpd I. Figure 2 illustrates the intricacies of the P450 enzymatic catalytic cycle, which starts from the resting state (structure A). The cycle is triggered by substrate binding, resulting in the release of the water molecule from the heme distal site. This step converts the ferric heme from a six-coordination to a five-coordination geometry and induces a shift from a low-spin to a high-spin state, thereby yielding structure B. The heme is then reduced by a redox partner (typically NADPH) to provide the pentacoordinated ferrous complex [36,37,38,39], and subsequently binds molecular oxygen (depicted as structure C in Figure 2). Another redox step, coupled with a swift proton transfer, generates the iron(III)-hydroperoxo complex (structure D), alternatively termed Compound 0 (Cpd 0). A secondary proton relay process results in the formation of the Cpd I structure (structure E) [40,41,42], a multifaceted oxidant that undertakes the oxygen atom transfer reaction to the substrate. The insertion of the oxygen atom into the substrate typically results in aromatic or aliphatic hydroxylation, sulfoxidation, or epoxidation [43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67]. However, desaturation and decarboxylation reactions have also been documented [49,68,69]. Given that bifurcation pathways in distinct P450 isozymes yield varied products and unique isozyme-specific product distributions, many scholars have probed the origins of these bifurcation pathways.
A particular biomolecule that was shown to yield varying products upon activation by human P450 isozymes is melatonin [70,71,72,73], as illustrated in Figure 3. Predominantly, two main metabolic pathways are identified in its liver metabolism, i.e., C6-hydroxylation and O-demethylation. Ma et al. [74] quantified the product distributions resulting from melatonin activation by various P450 isozymes. Their results indicated that the P450 1A1, 1A2, and 1B1 isozymes predominantly produce aromatic hydroxylation products at the C6 position, while the P450 2C19 isozyme specifically yields O-demethylation products. To understand these product distributions, various computational studies were performed that highlighted differences in substrate positioning and the size and shape of the substrate binding pocket [75,76,77]. In particular, the work focused on the comparison of melatonin activation via P450 1A1 and 1A2 isozymes. The studies highlighted differences in the substrate binding pocket and the effects of the second coordination sphere on substrate positioning, which were shown to influence the chemoselectivity for the reaction [75,76,77,78]. The researchers postulated that the C6-hydroxylation reaction is triggered by an electrophilic attack from Cpd I on the C6-position of melatonin, followed by a proton shuttle from the ipso-position, via one of the heme nitrogen atoms, to the oxo group, ultimately leading to phenol formation. Conversely, O-demethylation is expected to be initiated with hydrogen atom abstraction from the methoxy group by Cpd I, followed by rebound of the OH group to form the corresponding alcohol. The subsequent deformylation is anticipated to occur either in the solution or within the protein, and is most likely aided by a proton source, such as H3O+. These computational studies revealed that the substrate binding pocket of P450 1A2 is tighter and more compact than the one in P450 1A1, so the optimal substrate–oxidant interactions in the transition states can facilitate both reaction pathways. However, the tight substrate binding pocket in P450 1A2 prevents the ideal orientation in the transition state for attacks on the methoxy group by Cpd I and primarily results in aromatic hydroxylation products. To gain deeper insights into the binding, orientation, and subsequent activation of melatonin by P450 isozymes, we broadened our investigations on melatonin activation by human P450 isozymes, and particularly aim to understand how P450 2C19 compares to P450 1A1 and 1A2 in terms of structure and activity.

2. Results

2.1. Docking Studies

Based on the 4GQS protein databank (pdb) file [24,27], we performed molecular docking and molecular dynamics simulations on a melatonin-bound P450 2C19 structure. We chose chain A of the pdb file and removed substrate, glycerol and water molecules from the distal bound water molecule of the heme, which was set at an initial distance of 1.63 Å and replaced by an oxo group to mimic a Cpd I-type structure. Subsequently, melatonin was docked into the structure using a box with the center of the coordinates (x, y, z) = (−81.52, 22.85, −45.13) and a box size of x = 21.57, y = 18.73 and z = 18.68 using the Autodock Vina 1.2.0. software package, as implemented in Chimera [79,80]. An overlay of the 10 lowest-energy poses is shown on the left-hand side of Figure 4. The lowest-energy poses all have the substrate bound close to the heme on the distal site, and six poses are highlighted on the right-hand side of Figure 4. As can be seen, the substrate is locked in roughly the same area of the substrate binding pocket, adjacent to the I-helix and close to the B’-helix. This area of the substrate binding pocket is mostly lined with aromatic and aliphatic amino acid residues and also includes the side chain of Asp293, as highlighted in Figure 4. In some binding poses, it forms a hydrogen bond with the substrate amide group.
We then measured distances from the C6-atom of melatonin to the oxo group of the heme (C6–O distance) and the distance from the carbon atom of the methoxy group to the oxo group of the heme (CMe–O distance) for all six binding poses highlighted in Figure 4. The lowest-energy binding pose has a C6–O distance of 2.95 Å and a CMe–O distance of 3.72 Å, and hence a shorter C6–O than CMe–O distance, which would imply preferential C6-hydroxylation over methoxy-hydroxylation. This disagrees with the experiment that measured preferential O-demethylation over C6-aromatic hydroxylation via P450 2C19. In the second binding pose, the methoxy group of the substrate is closer to the heme than the C6 atom: the CMe–O distance is 2.29 Å, while the C6–O distance is 5.17 Å. However, in binding poses 3, 4, 5 and 6, the C6 atom of the substrate is again closest to the heme, although in poses 4, 5, and 6 these two atoms are further than 4 Å from the heme. Consequently, binding poses 4, 5 and 6 may not be catalytically active poses, as the substrate is in the wrong orientation, with the normal metabolic sites pointing away from the heme. Moreover, the groups pointing toward the heme will be more difficult to activate. Nevertheless, the shortest substrate–heme interaction is found for binding pose 2 for the CMe–O interaction of only 2.29 Å, whereas the shortest C6–O distance is found in pose 1 at 2.95 Å. In all other poses, the substrate is well over 4 Å away from the heme. As the shortest distance between the substrate and heme was found for the CMe–O interaction, we decided to run molecular dynamics simulations from this structure and explore the substrate binding position and orientation as a function of time.

2.2. Molecular Dynamics Simulations

Next, we selected docking pose 2 and ran a 200 ns molecular dynamics (MD) simulation in Amber for the P450 2C19 structure. In addition, a structure was created for melatonin-bound P450 1B1. As can be seen from Figure 5a,b the root–mean–square deviation (RMSD) of the P450 2C19 and P450 1B1 enzyme structures converge quickly (within several ns) and the RMSD stabilizes to a constant value. This applies to the RMSD of the protein chain, the heme ligand and the melatonin substrate during the MD simulation. As a consequence, it appears that both structures are highly rigid during MD simulations. To confirm this, we created an overlay of the starting and final structures of the two MD simulations, and show these in Figure 5c. Indeed, an overlay of the starting (in blue) and final (in amber) structures of the MD simulations for P450 1B1 and P450 2C19 provides an almost perfect match, with all chains and helices in approximately the same position and orientation. We also analyzed the root–mean–square fluctuations in the amino acid residues during the MD simulations, and show these in Figure 5c. Blue-colored residues show little movement during the MD simulation, while red-colored residues moved a lot. As can be seen, the inner residues around the heme and substrate binding pockets have low RMSF values, while the termini and helix end groups have large RMSF values. This is consistent with the tight and closed substrate binding pocket for both P450 isozymes.
We then analyzed the structures in more detail, and calculated distances between the oxo group of Cpd I with either the C6 atom of substrate (rCO) or to the nearest hydrogen atom of the methoxy group (rOH). For each snapshot from the two MD simulations, the distances rCO and rOH were measured and plotted against each other in a scatter plot; see Figure 5d. Thus, data points close to the x-axis have short O–H distances and are likely leading to methoxy group hydroxylation and subsequent deformylation, whereas data points close to the y-axis have short C6–O distances and have the substrate-binding orientation set-up for C6-hydroxylation instead. As can be seen from the scatter plot, most structures have the nearest methoxy hydrogen atom at a distance of Cpd I by 2–5 Å, whereas the C6–O distance is well over 4 Å in virtually all snapshots. The MD simulations, therefore, show that substrate is tightly bound in both P450 2C19 and 1B1 with relatively little flexibility and mobility. Moreover, the structural analysis indicates that the closest approach of substrate to heme is for the methoxy group, and hence the methoxy group will be the most likely point of activation for both isozymes. Indeed, experimental work on P450 2C19 showed that melatonin was the dominant methoxy group activation, with little or no aromatic hydroxylation products. The MD simulation for P450 2C19 confirms the product distributions that were experimentally obtained.

2.3. Quantum Mechanics Calculations

Subsequently, we constructed a model of P450 2C19 Cpd I with melatonin in the substrate binding pocket, as derived from the final snapshot of the MD simulation; see Figure 6: Model A. Cluster models were created using previously established procedures and include both the primary and secondary coordination spheres of Cpd I and the substrate [81,82,83]. As such, our model contains the heme, modified to protoporphyrin IX by substituting all side chains—including the propionates—with hydrogen atoms. This generally has only a minor effect on the electronic configuration and structure of the oxidant [84]. The axial cysteinate ligand (Cys435) was truncated to thiolate (SH). Prior research indicated that thiolate offers more accurate electronic properties than methylmercaptane [85]. We positioned an oxo group adjacent to the iron at a distance of 1.63 Å, trans to the thiolate ligand. Melatonin, as the substrate, assumed the position of its most stable conformation based on the docking and MD simulations, with its methoxy group oriented towards the heme, while the amide group formed a hydrogen bond with the carboxylate group of Asp293. The model incorporated several peptide chains and groups, crucial in delineating the substrate binding pocket and facilitating hydrogen bonding interactions. Specifically, the chain spanning from Asp293 to Thr301 was incorporated, with residues Leu294, Leu295, and Glu300 simplified to a Gly residue. Additionally, peptide dimers including Val113-Phe114, Leu361-Ile362, and Ser365-Leu366 were embedded into the model. The complete model comprised 257 atoms and included one water molecule. Notably, the model was free from constraints.
Subsequently, geometry optimization of model A in both the doublet and quartet spin states was executed using density functional theory (DFT) approaches. The optimized geometry of 2A is presented in Figure 6 and superimposed on the crystal structure coordinates. As is evident, most protein chains retain similar positions in both structures, with the protein side chains oriented similarly. Details of the optimized geometries of 2A and 4A are depicted in Figure 7. The two spin state structures exhibit proximate energy levels. Considering the energy with zero-point energies (ΔE + ZPE), the doublet state is more stable than the quartet state by a margin of ΔE + ZPE = 0.2 kcal mol−1. However, this preference is reversed when thermal and entropic corrections and free energies are accounted for, leading to ΔG = −0.2 kcal mol−1. This narrow energy gap suggests that both states might coexist, implying potential reactivity across these two spin states [86,87,88]. The Fe–O bond length is relatively short, measuring 1.632 Å in the quartet spin state and 1.653 Å in the doublet spin state. Such bond lengths are consistent with previous calculations on P450 Cpd I models, whether derived from DFT methodologies on cluster models or quantum mechanics/molecular mechanics (QM/MM)-based calculations [89,90,91,92,93,94,95,96,97,98,99,100]. The iron-sulfur bond, involving two second-row elements, is long, as expected: 2.559 Å in the quartet state and 2.270 Å in the doublet state. In the optimized geometry, the methoxy group of the substrate is directed towards the heme and establishes a weak hydrogen bonding interaction between the C–H groups and the oxo entity of Cpd I. The O–H distances between Cpd I and the substrate are 2.567 Å for the quartet state and 2.383 Å for the doublet state. Consequently, the substrate is strategically positioned in the active site, primed for methoxy hydroxylation. This substrate alignment in the active site corroborates the experimental finding, which identified the exclusive O-demethylation of melatonin by P450 2C19.
The doublet and quartet spin states of Cpd I share the same orbital configuration, with each possessing three unpaired electrons situated in the π*xz, π*yz, and a2u molecular orbitals. The molecular diagrams of these orbitals are provided on the right-hand-side of Figure 7. The π*xz molecular orbital comprises a 3dxz contribution from iron that establishes an interaction with the 2px orbital of the oxo group in an antibonding orientation. The corresponding bonding counterpart, the πxz orbital, is energetically lower and doubly occupied. This results in a distinctive two-center-three-electron bond configuration within the xz-plane along the Fe–O axis. A parallel situation is seen in the yz-plane, where the πyz orbitals are doubly occupied, while the π*yz orbital remains singly occupied. These specific orbitals encapsulate the bonding and antibonding interactions between the iron 3dyz and the oxygen 2py atomic orbitals. As illustrated in the orbital diagrams in Figure 7, the π*xz and π*yz molecular orbitals exhibit substantial mixing, with the π-orbitals stemming from the heme framework. Furthermore, Cpd I possesses a unique unpaired molecular orbital characteristic of the heme type, labeled as a2u in D4h symmetry. In the quartet spin state, this orbital contains an up-spin electron, whereas in the doublet spin state, it possesses a down-spin electron.
Next, we initiated a hydrogen atom abstraction geometry scan of the optimized geometries of the quartet and doublet spin Cpd I structures (labeled 4,2A). An illustrative representation of the quartet spin landscape for this abstraction is presented in Figure 8. This scan was implemented by incrementally decreasing the O–H bond distance between the oxo group of Cpd I and the proximate hydrogen atom within melatonin’s methoxy group. Each step of the scan was marked by a comprehensive geometry optimization of the structure, maintaining a fixed O–H distance throughout. When we plotted these energies in relation to the initial energy of 4A, a characteristic bell-shaped curve emerged, with the reactants positioned on the right-hand-side of the scan and the products on the left. At the onset, there is an evident ascent in energy, which peaks and then gradually reduces, eventually giving rise to a complex for an iron-hydroxo and melatonin radical intermediates, collectively termed IM1. The uninterrupted curve signifies the structural integrity maintained during the scan, as no major geometrical changes are observed, especially in the second coordination sphere. We analyzed the structures on either extremity of the scan curve in detail and show these in Figure 8. In particular, the structure on the reactant side (O–H distance at 1.37 Å) and the structure on the product side (O–H distance at 1.01 Å) are highlighted. We observe analogous structural configurations for both the protein and heme components. The apex of the geometry scan is approximately 18.0 kcal mol−1 above the energy of the reactants. This position offers a suitable starting structure for a comprehensive transition state geometry optimization, which was subsequently performed. In addition, the lowest energy structure on the product-oriented side of the geometry scan curve serves as an initial structure for the full geometry optimization of the radical intermediate geometry. Moreover, the geometry scan provides evidence that the optimized structures of reactants, transition state and radical intermediates are directly connected with each other.
Subsequently, the structure, which corresponded to the highest-energy point from the geometry scan, was selected and subjected to a full transition state search. This led to the identification of a first-order saddle point, characterized by a single imaginary frequency that corresponds to the O–H–C stretch vibration (see Figure 9). In this transition state, the transferring hydrogen atom is situated midway between the donor carbon and the recipient oxo group. Specifically, for the structures 4A and 2A, the C–H bond distances are 1.348 Å and 1.307 Å respectively, while the O–H distances measure at 1.212 Å and 1.213 Å. The positioning of the transferring hydrogen atom indicates a structure leaning more towards the product side, as evident from the shorter O–H distance compared to the C–H distance. Upon the successful transfer of a hydrogen atom, there is a noticeable elongation of the Fe−O bond. In the quartet state, this bond lengthened from 1.632 Å (in 4AB) to 1.736 Å (in 4TS1B). Similarly, in the doublet state, the distance augmented from 1.653 Å to 1.735 Å (in 2TS1B). These geometrical transformations align well with prior computational results on hydrogen atom abstraction transition states facilitated by P450 Cpd I [99,100,101,102,103,104,105,106,107,108,109]. Such changes in bond lengths are anticipated, as the formation of the iron-hydroxo group results in the breaking of the πxz/π*xz pair of molecular orbitals. In particular, the 3dxz transforms into a nonbonding orbital that occupies one electron, while the other two electrons from the πxz/π*xz orbitals form the σOH orbital of the hydroxo group [100]. Furthermore, the Fe–O–C angle between the iron-oxo group and the carbon of the methoxy group measures 124° for the quartet spin state and 117° for the doublet. These angles are in line with earlier calculations of hydrogen atom abstraction by P450 Cpd I, performed on minimal cluster models devoid of the second coordination sphere [101,102,103,104,105,106,107,108,109,110,111,112,113,114]. The structural features of the transition states match minimal cluster models, emphasizing that the substrate interacts with Cpd I in a nearly optimal orientation in P450 2C19. Moreover, this suggests that the protein environment has minimal influence on the substrate orientation and placement in P450 2C19.
When we look at the energetics of the reaction mechanism, it is clear that the transition states are higher than the reactants, as expected. Specifically, when we consider the energy values with zero-point correction, i.e., ΔE + ZPE, then the energy of 2TS1B is 14.8 kcal mol−1 and 4TS1B is 17.7 kcal mol−1 with respect to reactants. Not surprisingly, these values are close to the value of the maximum of the constrained geometry scan. As such, our geometry scan provided a good starting point for the transition state search and the scan provides an accurate representation of the energy profile. For another perspective on these barrier heights, it is worth mentioning the barrier of 17.8 kcal mol−1 energy calculated for the hydrogen atom abstraction from the terminal CH₃ group of n-propane, as described in a previous study [103]. As such, it appears that the abstraction of the hydrogen atom from the methoxy group of melatonin remains largely unperturbed by the effects of the second coordination sphere. An analysis of the second coordination sphere residues reveals that most residues from this sphere predominantly consist of aliphatic and aromatic amino acids. Their primary role appears to be anchoring the substrate and the oxidant in place. The sole noticeable hydrogen bond interaction between the protein and the substrate is from the amide group that interacts with the carboxylate of Asp293.
After the hydrogen atom abstraction transition states were optimized and characterized, we employed intrinsic reaction coordinate (IRC) scans for verification. This procedure followed the trajectory of the imaginary frequency to the nearest local minimum. The resulting IRC plots corresponding to 2TS1B and 4TS1B are shown in Figure 9b. These plots show that the reverse pathway of the IRC leads back to the initial state of Cpd I and the melatonin substrate, as expected. By contrast, the forward IRC pathway leads to the formation of the radical intermediate. The IRC scans, therefore, confirm the conclusions drawn from the geometry optimizations that the reaction between Cpd I and melatonin leads to a radical intermediate after hydrogen atom abstraction.
After the hydrogen atom abstraction step and the formation of radical intermediates (IM1), we followed the reaction mechanism with a reaction step to form hydroxylated products (Pr). The optimized geometries for these species are shown in Figure 10. In the radical intermediate configurations, the Fe−O bond is elongated to 1.818 Å (4IM1B) and 1.825 Å (2IM1B). The Fe−S bond, on the other hand, remains considerably long. Electronically, both spin states show an unpaired spin density on the CH2 group of the substrate, with values of +1 and −1 for 4IM1B and 2IM1B, respectively. This indicates that during the hydrogen transfer, an electron from the substrate transferred into the heme a2u orbital. Both radical intermediates then possess a doubly occupied a2u orbital, while the two π* orbitals remain singly occupied. The third unpaired electron is on the substrate and has up-spin in the quartet spin state and down-spin in the doublet spin state.
The rebound of the OH group from the heme to the radical was probed next. Interestingly, this process has no energy barrier and directly results in the formation of alcohol products (Pr). The process is highly exothermic, with energy values of ΔE + ZPE = −50.6 kcal mol−1 and ΔE + ZPE = −48.2 kcal molࢤ1 for 4PrB and 2PrB, respectively. Such small rebound barriers suggest that radical intermediates 4,2IM1B would be short-lived in nature, quickly transforming into product complexes. This fleeting existence ensures that there is minimal time for the radical or substrate to rearrange, which could lead to side reactions or alternate products. The resultant product complexes exhibit a weak interaction between the lone pair of the oxygen atom of the alcohol with the metal center, measured at a substantial distance for both 4PrB and 2PrB. This interaction, being weak, would require minimal energy to disrupt, and allows for easy release of the product into the surrounding solution.
Finally, efforts were made to examine the C6 activation leading to aromatic hydroxylation. However, these attempts proved fruitless, as the geometry scan for bond shortening between C6 and oxygen resulted in collapse of the model and significant structural alterations that may not be realistic in an enzyme environment. In conclusion, these results imply that the substrate orientation and binding position, as well as the substrate binding pocket conformation, prevent C6-activation in P450 2C19 as they do not provide a favorable transition state that brings the substrate and oxidant close together.

3. Discussion

In this work, a computational study on P450 2C19 is reported, focused on understanding the product distributions that were experimentally obtained and how they compare to different P450 isozymes. We started with substrate docking, which led to a number of low-energy binding conformations. However, in most of these, the substrate is relatively far from the heme; hence, these docking sites may serve as secondary binding sites before the substrate latches in the final position prior to catalysis. The MD simulations show the substrate is tightly bound and stays in virtually the same position during a period of 200 ns. Moreover, the substrate is bound in an orientation that appears to prefer methoxy group hydroxylation rather than C6 activation, as the C6-O distance is relatively large in most snapshots, whereas the H−O distance to the methoxy group is much shorter. The MD simulations, therefore, have the substrate positioned and set up for methoxy group hydroxylation.
Subsequently, we created a large cluster model of 257 atoms and studied the methoxy hydroxylation mechanism with density functional theory approaches. The calculations show that the reactant Cpd I structure exists in close-lying doublet and quartet spin configurations, in agreement with previous DFT and QM/MM calculations of alternative P450 isozymes [9,29,33] that lead to two-state-reactivity patterns of competing doublet and quartet spin states. The rate-determining step is hydrogen atom abstraction, and a barrier of ΔE + ZPE = 14.8 kcal mol−1 for 2TS1B and 17.7 kcal mol−1 for 4TS1B was obtained. These barriers, particularly the doublet spin barrier, are lower in energy than those previously obtained for melatonin activation by P450 1A1 and P450 1A2. In particular, barriers of 17.8–22.3 kcal mol−1 (P450 1A1) and 16.5–18.8 kcal mol−1 (P450 1A2) were observed in these earlier studies [76,77]. As such, P450 2C19 has a better positioned substrate for methoxy group hydrogen atom abstraction than P450 1A1 and P450 1A2. Indeed, experimentally, P450 2C19 is known to lead to dominant methoxy group activation, in agreement with the lower hydrogen atom abstraction barrier. The barrier height for hydrogen atom abstraction is similar to values found for alternative substrates, such as the terminal methyl group of n-propane or propene [102,103] and, as such, the transition state for hydrogen atom abstraction from melatonin by P450 2C19 is not increased due to the stereochemical interactions with the protein environment.
The calculations presented here show that, after hydrogen atom abstraction, the structure relaxes to an iron–hydroxo complex that rapidly leads to OH rebound with a negligible barrier to form the alcohol products. It is expected that with the assistance of a proton from the solvent, deformylation occurs. We previously showed this step to be low in energy and not rate-determining [77]. Our calculations provide a good match with experimental product distributions from the literature and show that, after hydrogen atom abstraction, a fast rebound and facile deformylation leads to reaction products.

4. Materials and Methods

4.1. Enzyme Set-Up and Molecular Dynamics Simulations

An enzymatic P450 2C19 structure was created from the 4GQS pdb file, as taken from the Protein Databank [24,27]. The substrate and crystal water molecules were removed from the pdb file in Chimera UCSF [80] and chain A was selected. The heme was manually modified into a Cpd I structure, with an Fe−O bond length set to 1.63 Å. Hydrogen atoms were added to the structure using the Ambertools v1 package under pH 7 conditions [115]. We visually inspected key amino acid residues, and all Lys and Arg side chains were in the protonated states, while all Asp and Glu side chains were deprotonated. All histidine amino acids were in the singly protonated state. The melatonin structure was taken from our previous calculations [76] and converted into PDB format. Thereafter, melatonin was docked into the substrate-binding pocket using AutoDock Vina 1.2.0. [79] and binding pose 2 (see above) was selected for further studies.
MD parameters for the heme were created with the MCPB.py routine implemented in AmberTools 2018 [116], and then solvated in a rectangular box with a 10 Å distance between the box edges and the enzyme, and filled with TIP3P-defined water molecules. The ff14SB12 forcefield [117] was used for amino acid residues and protein structures. After the set-up, the system was minimized, and heated to 310 K with backboard constraints. Finally, a production run was performed for 200 ns without constraints.

4.2. Cluster Model Set-Up and Quantum Chemical Calculations

Based on the final snapshot of the MD simulation, we created quantum chemical (QM) cluster models of the first and second coordination sphere of the oxidant and substrate environment using previously reported approaches [81,82,83]. The P450 2C19 model is described as above, with protoporphyrin IX, all substituents truncated to hydrogen atoms and a central iron(IV)-oxo ligated to thiolate as the basic core. This system was supplemented with substrate, one water molecule, the amino acid side chains of the chain from Asp293 to Thr301, and the peptide dimers Val113-Phe114, Leu361-Ile362 and Ser365-Leu366. The amino acids Leu294, Leu295 and Glu300 were truncated to Gly residues, leading to a cluster model with an overall size of 257 atoms.
All calculations were run using the Gaussian-09 software [118] with density functional theory approaches. Previous validation and benchmarking studies of analogous systems showed that the methods and approaches used here reproduce experimental product distributions, reaction rates and selectivities very well [100,119,120]. The unrestricted hybrid density functional method B3LYP [121,122] was used for geometry optimizations, analytical frequency calculations and constraint geometry scans. The calculations utilized the effective core-potential-based LANL2DZ basis set on iron, and 6-31G* on the rest of the atoms [123,124], with the designated basis set as BS1. Single point calculations were carried out with cc-pVTZ on iron [125] and 6-311+G* on the rest of the atoms, with the designated basis set as BS2, to improve the energetics.

5. Conclusions

A comprehensive computational study on melatonin activation by P450 2C19 enzymes is reported. We initially conducted a molecular docking on a P450 2C19 structure and found several low-energy binding poses. We then selected the best conformation and ran a 200 ns MD simulation. The MD shows that the enzyme, and particularly the substrate binding pocket, are very tight and rigid, and show little movement during simulation. We then created a large cluster model of 257 atoms and studied substrate hydroxylation at the methoxy group and aromatic hydroxylation at the C6-position. The latter was not a feasible pathway for this enzyme due to the positioning of the substrate and oxidant, which prevented them from reaching close to C6. The aliphatic hydroxylation has a rate-determining hydrogen atom abstraction and barrierless rebound. The barriers match small model clusters of terminal alkyl group hydroxylation well. Consequently, substrate binding and orientation is set up for methoxy group hydroxylation and not aromatic hydroxylation. Our studies highlight the differences in substrate activation by various P450 isozymes and show that, in P450 2C19, the binding pocket is tight and guides the selectivity to deformylation as the dominant products.

Author Contributions

Conceptualization, T.M. and S.P.D.V.; data curation, T.M., T.D.V. and Y.C.; writing—original draft preparation, T.M. and S.P.D.V. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data are fully available upon request from the authors.

Acknowledgments

The Computational Shared Facilities is acknowledged for providing CPU time.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Solomon, E.I.; Brunold, T.C.; Davis, M.I.; Kemsley, J.N.; Lee, S.K.; Lehnert, N.; Neese, F.; Skulan, A.J.; Yang, Y.S.; Zhou, J. Geometric and Electronic Structure/Function Correlations in Non-Heme Iron Enzymes. Chem. Rev. 2000, 100, 235–349. [Google Scholar] [CrossRef]
  2. Costas, M.; Mehn, M.P.; Jensen, M.P.; Que, L., Jr. Dioxygen Activation at Mononuclear Nonheme Iron Active Sites:  Enzymes, Models, and Intermediates. Chem. Rev. 2004, 104, 939–986. [Google Scholar] [CrossRef]
  3. Abu-Omar, M.M.; Loaiza, A.; Hontzeas, N. Reaction Mechanisms of Mononuclear Non-Heme Iron Oxygenases. Chem. Rev. 2005, 105, 2227–2252. [Google Scholar] [CrossRef] [PubMed]
  4. De Visser, S.P.; Kumar, D. (Eds.) Iron-Containing Enzymes: Versatile Catalysts of Hydroxylation Reactions in Nature; Royal Society of Chemistry Publishing: Cambridge, UK, 2011. [Google Scholar]
  5. Martinez, S.; Hausinger, R.P. Catalytic Mechanisms of Fe(II)- and 2-Oxoglutarate-dependent Oxygenases. J. Biol. Chem. 2015, 290, 20702–20711. [Google Scholar] [CrossRef] [PubMed]
  6. White, M.D.; Flashman, E. Catalytic Strategies of the Non-Heme Iron Dependent Oxygenases and Their Roles in Plant Biology. Curr. Opin. Chem. Biol. 2016, 31, 126–135. [Google Scholar] [CrossRef] [PubMed]
  7. De Visser, S.P.; Mukherjee, G.; Ali, H.S.; Sastri, C.V. Local Charge Distributions, Electric Dipole moments and Local Electric Fields Influence Reactivity Patterns and Guide Regioselectivities in α-Ketoglutarate-Dependent Nonheme Iron Dioxygenases. Acc. Chem. Res. 2022, 55, 65–74. [Google Scholar] [CrossRef]
  8. Sono, M.; Roach, M.P.; Coulter, E.D.; Dawson, J.H. Heme-Containing Oxygenases. Chem. Rev. 1996, 96, 2841–2888. [Google Scholar] [CrossRef]
  9. Meunier, B.; de Visser, S.P.; Shaik, S. Mechanism of Oxidation Reactions Catalyzed by Cytochrome P450 Enzymes. Chem. Rev. 2004, 104, 3947–3980. [Google Scholar] [CrossRef]
  10. Denisov, I.G.; Makris, T.M.; Sligar, S.G.; Schlichting, I. Structure and Chemistry of Cytochrome P450. Chem. Rev. 2005, 105, 2253–2277. [Google Scholar] [CrossRef]
  11. Ortiz de Montellano, P.R. (Ed.) Cytochrome P450: Structure, Mechanism and Biochemistry, 3rd ed.; Kluwer Academic/Plenum Publishers: New York, NY, USA, 2005. [Google Scholar]
  12. Munro, A.W.; Girvan, H.M.; McLean, K.J. Variations on a (t)heme-novel mechanisms, redox partners and catalytic functions in the cytochrome P450 superfamily. Nat. Prod. Rep. 2007, 24, 585–609. [Google Scholar] [CrossRef]
  13. Ortiz de Montellano, P.R. Hydrocarbon hydroxylation by cytochrome P450 enzymes. Chem. Rev. 2010, 110, 932–948. [Google Scholar] [CrossRef] [PubMed]
  14. Kadish, K.M.; Smith, K.M.; Guilard, R. (Eds.) Handbook of Porphyrin Science; World Scientific Publishing Co.: Hackensack, NJ, USA, 2010. [Google Scholar]
  15. Grogan, G. Cytochromes P450: Exploiting Diversity and Enabling Application as Biocatalysts. Curr. Opin. Chem. Biol. 2011, 15, 241–248. [Google Scholar] [CrossRef] [PubMed]
  16. Stavropoulou, E.; Pircalabioru, G.G.; Bezirtzoglou, E. The Role of Cytochromes P450 in Infection. Front. Immunol. 2018, 9, 89. [Google Scholar] [CrossRef] [PubMed]
  17. Dunham, N.P.; Arnold, F.H. Nature’s Machinery, Repurposed: Expanding the Repertoire of Iron-Dependent Oxygenases. ACS Catal. 2020, 10, 12239–12255. [Google Scholar] [CrossRef]
  18. Poulos, T.L.; Follmer, A.H. Updating the Paradigm: Redox Partner Binding and Conformational Dynamics in Cytochromes P450. Acc. Chem. Res. 2022, 55, 373–380. [Google Scholar] [CrossRef] [PubMed]
  19. Nebert, D.W.; Wikvall, K.; Miller, W.L. Human Cytochromes P450 in Health and Disease. Philos. Trans. R. Soc. B Biol. Sci. 2013, 368, 20120431. [Google Scholar] [CrossRef]
  20. Raunio, H.; Kuusisto, M.; Juvonen, R.O.; Pentikäinen, O.T. Modeling of Interactions Between Xenobiotics and Cytochrome P450 (CYP) Enzymes. Front. Pharmacol. 2015, 6, 123. [Google Scholar] [CrossRef]
  21. Guengerich, F.P. Mechanisms of Cytochrome P450-Catalyzed Oxidations. ACS Catal. 2018, 8, 10964–10976. [Google Scholar] [CrossRef]
  22. Mak, P.J.; Duggal, R.; Denisov, I.G.; Gregory, M.C.; Sligar, S.G.; Kincaid, J.R. Human Cytochrome CYP17A1: The Structural Basis for Compromised Lyase Activity with 17-Hydroxyprogesterone. J. Am. Chem. Soc. 2018, 140, 7324–7331. [Google Scholar] [CrossRef]
  23. Nelson, D.R. The Cytochrome P450 Homepage. Hum. Genom. 2009, 4, 59–65. [Google Scholar] [CrossRef]
  24. Berman, H.M.; Westbrook, J.; Feng, Z.; Gilliland, G.; Bhat, T.N.; Weissig, H.; Shindyalov, I.N.; Bourne, P.E. The Protein Databank. Nucl. Acids Res. 2000, 28, 235–243. [Google Scholar] [CrossRef]
  25. Ekroos, M.; Sjögren, T. Structural Basis for Ligand Promiscuity in Cytochrome P450 3A4. Proc. Natl. Acad. Sci. USA 2006, 103, 13682–13687. [Google Scholar] [CrossRef] [PubMed]
  26. Kubo, M.; Yamamoto, K.; Itoh, T. Design and Synthesis of Selective CYP1B1 Inhibitor via Dearomatization of α-Naphthoflavone. Bioorg. Med. Chem. 2019, 27, 285–304. [Google Scholar] [CrossRef] [PubMed]
  27. Reynald, R.L.; Sansen, S.; Stout, C.D.; Johnson, E.F. Structural Characterization of Human Cytochrome P450 2C19. J. Biol. Chem. 2012, 287, 44581–44591. [Google Scholar] [CrossRef]
  28. Leys, D.; Mowat, C.G.; McLean, K.J.; Richmond, A.; Chapman, S.K.; Walkinshaw, M.D.; Munro, A.W. Atomic structure of Mycobacterium tuberculosis CYP121 to 1.06 A reveals novel features of cytochrome P450. J. Biol. Chem. 2003, 278, 5141–5147. [Google Scholar] [CrossRef]
  29. Shaik, S.; Kumar, D.; de Visser, S.P.; Altun, A.; Thiel, W. Theoretical Perspective on the Structure and Mechanism of Cytochrome P450 Enzymes. Chem. Rev. 2005, 105, 2279–2328. [Google Scholar] [CrossRef] [PubMed]
  30. Rittle, J.; Green, M.T. Cytochrome P450 Compound I: Capture, Characterization, and C-H bond Activation Kinetics. Science 2010, 330, 933–937. [Google Scholar] [CrossRef]
  31. Mak, P.J.; Denisov, I.G. Spectroscopic Studies of the Cytochrome P450 Reaction Mechanism. Biochim. Biophys. Acta 2018, 1866, 178–204. [Google Scholar] [CrossRef]
  32. Huang, X.; Groves, J.T. Oxygen Activation and Radical Transformations in Heme Proteins and Metalloporphyrins. Chem. Rev. 2018, 118, 2491–2553. [Google Scholar] [CrossRef]
  33. Dubey, K.D.; Shaik, S. Cytochrome P450: The Wonderful Nanomachine Revealed Through Dynamic Simulations of the Catalytic Cycle. Acc. Chem. Res. 2019, 52, 389–399. [Google Scholar] [CrossRef]
  34. Mansuy, D. A Brief History of the Contribution of Metalloporphyrin Models to Cytochrome P450 Chemistry and Oxidation Catalysis. Comptes Rendus Chim. 2007, 10, 392–413. [Google Scholar] [CrossRef]
  35. Sevrioukova, I.F.; Hazzard, J.T.; Tollin, G.; Poulos, T.L. Laser Flash Induced Electron Transfer in P450cam Monooxygenase: Putidaredoxin Reductase-Putidaredoxin Interaction. Biochemistry 2001, 40, 10592–10600. [Google Scholar] [CrossRef]
  36. Girvan, H.M.; Heyes, D.J.; Scrutton, N.S.; Munro, A.W. Laser Photoexcitation of NAD(P)H Induces Reduction of P450BM3 Heme Domain on the Microsecond Time Scale. J. Am. Chem. Soc. 2007, 129, 6647–6653. [Google Scholar] [CrossRef]
  37. Davydov, R.; Im, S.; Shanmugam, M.; Gunderson, W.A.; Pearl, N.M.; Hoffman, B.M.; Waskel, L. Role of the Proximal Cysteine Hydrogen Bonding Interaction in Cytochrome P450 2B4 Studied by Cryoreduction, Electron Paramagnetic Resonance, and Electron-Nuclear Double Resonance Spectroscopy. Biochemistry 2016, 55, 869–883. [Google Scholar] [CrossRef]
  38. Suzuki, H.; Inabe, K.; Shirakawa, Y.; Umezawa, N.; Kato, N.; Higuchi, T. Role of Thiolate Ligand in Spin State and Redox Switching in the Cytochrome P450 Catalytic Cycle. Inorg. Chem. 2017, 56, 4245–4248. [Google Scholar] [CrossRef]
  39. Katariya, M.M.; Snee, M.; Tunnicliffe, R.B.; Kavanagh, M.E.; Boshoff, H.I.M.; Amadi, C.N.; Levy, C.W.; Munro, A.W.; Abell, C.; Leys, D.; et al. Structure Based Discovery of Inhibitors of CYP125 and CYP142 from Mycobacterium tuberculosis. Chem. Eur. J. 2023, 29, e202203868. [Google Scholar] [CrossRef] [PubMed]
  40. Kumar, D.; Hirao, H.; de Visser, S.P.; Zheng, J.; Wang, D.; Thiel, W.; Shaik, S. New Features in the Catalytic Cycle of Cytochrome P450 During the Formation of Compound I from Compound 0. J. Phys. Chem. B 2005, 109, 19946–19951. [Google Scholar] [CrossRef] [PubMed]
  41. Davydov, R.; Gilep, A.A.; Strushkevich, N.V.; Usanov, S.A.; Hoffman, B.M. Compound I Is the Reactive Intermediate in the First Monooxygenation Step During Conversion of Chloresterol to Pregnenolone by Cytochrome P450scc: EPR/ENDOR/Cryoreduction/Annealing Studies. J. Am. Chem. Soc. 2012, 134, 17149–17156. [Google Scholar] [CrossRef]
  42. Mittra, K.; Green, M.T. Reduction Potentials of P450 Compounds I and II: Insight into the Thermodynamics of C-H Bond Activation. J. Am. Chem. Soc. 2019, 141, 5504–5510. [Google Scholar] [CrossRef] [PubMed]
  43. Relling, M.V.; Nemec, J.; Schuetz, E.G.; Schuetz, J.D.; Gonzalez, F.J.; Korzekwa, K.R. O-Demethylation of Epipodophyllotoxins Is Catalyzed by Human Cytochrome P450 3A4. Mol. Pharmacol. 1994, 45, 352–358. [Google Scholar] [PubMed]
  44. Hagel, J.; Facchini, P. Biochemistry and Occurrence of O-Demethylation in Plant Metabolism. Front. Physiol. 2010, 1, 14. [Google Scholar] [CrossRef]
  45. Huang, X.; Groves, J.T. Beyond Ferryl-Mediated Hydroxylation: 40 Years of the Rebound Mechanism and C–H Activation. J. Biol. Inorg. Chem. 2017, 22, 185–207. [Google Scholar] [CrossRef]
  46. Butler, C.F.; Peet, C.; Mason, A.E.; Voice, M.W.; Leys, D.; Munro, A.W. Key Mutations Alter the Cytochrome P450 BM3 Conformational Landscape and Remove Inherent Substrate Bias. J. Biol. Chem. 2013, 288, 25387–25399. [Google Scholar] [CrossRef] [PubMed]
  47. Rudolf, J.D.; Dong, L.-B.; Zhang, X.; Renata, H.; Shen, B. Cytochrome P450-Catalyzed Hydroxylation Initiating Ether Formation in Platensimycin Biosynthesis. J. Am. Chem. Soc. 2018, 140, 12349–12353. [Google Scholar] [CrossRef] [PubMed]
  48. Mallinson, S.J.B.; Machovina, M.M.; Silveira, R.L.; Garcia-Borràs, M.; Gallup, N.; Johnson, C.W.; Allen, M.D.; Skaf, M.S.; Crowley, M.F.; Neidle, E.L.; et al. A Promiscuous Cytochrome P450 Aromatic O-Demethylase for Lignin Bioconversion. Nat. Commun. 2018, 9, 2487. [Google Scholar] [CrossRef] [PubMed]
  49. Pickl, M.; Kurakin, S.; Cantú Reinhard, F.G.; Schmid, P.; Pöcheim, A.; Winkler, C.K.; Kroutil, W.; de Visser, S.P.; Faber, K. Mechanistic Studies of Fatty Acid Activation by CYP152 Peroxygenases Reveal Unexpected Desaturase Activity. ACS Catal. 2019, 9, 565–577. [Google Scholar] [CrossRef]
  50. Morita, I.; Mori, T.; Abe, I. Enzymatic Formation of Indolactam Scaffold by C-N Bond-Forming Cytochrome P450 Oxidases in Teleocidin Biosynthesis. Chem. Eur. J. 2021, 27, 2963–2972. [Google Scholar] [CrossRef] [PubMed]
  51. Guengerich, F.P.; Fekry, M.I. Methylene Oxidation of Alkyl Sulfates by Cytochrome P450BM-3 and a Role for Conformational Selection in Substrate Recognition. ACS Catal. 2020, 10, 5008–5022. [Google Scholar] [CrossRef]
  52. Wang, J.; Huang, Q.; Peng, W.; Wu, P.; Yu, D.; Chen, B.; Wang, B.; Reetz, M.T. P450-BM3-Catalyzed Sulfoxidation versus Hydroxylation: A Common or Two Different Catalytically Active Species? J. Am. Chem. Soc. 2020, 142, 2068–2073. [Google Scholar] [CrossRef]
  53. Podgorski, M.N.; Coleman, T.; Churchman, L.R.; Bruning, J.B.; De Voss, J.J.; Bell, S.G. Investigating the Active Oxidants Involved in Cytochrome P450 Catalyzed Sulfoxidation Reactions. Chem. Eur. J. 2022, 28, e202202428. [Google Scholar] [CrossRef]
  54. Coleman, T.; Kirk, A.M.; Lee, J.H.Z.; Doherty, D.Z.; Bruning, J.B.; Krenske, E.H.; De Voss, J.J.; Bell, S.G. Different Geometric Requirements for Cytochrome P450-Catalyzed Aliphatic Versus Aromatic Hydroxylation Results in Chemoselective Oxidation. ACS Catal. 2022, 12, 1258–1267. [Google Scholar] [CrossRef]
  55. Espinoza, R.V.; Maskeri, M.A.; Turlik, A.; Nangia, A.; Khatri, Y.; Montgomery, J.; Houk, K.N.; Sherman, D.H. Epoxidation and Late-Stage C–H Functionalization by P450 TamI Are Mediated by Variant Heme-Iron Oxidizing Species. ACS Catal. 2022, 12, 3731–3742. [Google Scholar] [CrossRef]
  56. McLean, K.J.; Warman, A.J.; Seward, H.E.; Marshall, K.R.; Girvan, H.M.; Cheeseman, M.J.; Waterman, M.R.; Munro, A.W. Biophysical Characterization of the Sterol Demethylase P450 from Myobacterium tuberculosis, Its Cognate Ferrodoxin, and Their Interactions. Biochemistry 2006, 45, 8427–8443. [Google Scholar] [CrossRef] [PubMed]
  57. Matthews, S.; Belcher, J.D.; Tee, K.L.; Girvan, H.M.; McLean, K.J.; Rigby, S.E.J.; Levy, C.W.; Leys, D.; Parker, D.A.; Blankley, R.T.; et al. Catalytic Determinants of Alkene Production by the Cytochrome P450 Peroxygenase OleTJE. J. Biol. Chem. 2017, 292, 5128–5143. [Google Scholar] [CrossRef] [PubMed]
  58. Taxak, N.; Kalra, S.; Bharatam, P.V. Mechanism-Based Inactivation of Cytochromes by Furan Epoxide: Unraveling the Molecular Mechanism. Inorg. Chem. 2013, 52, 13496–13508. [Google Scholar] [CrossRef] [PubMed]
  59. Slessor, K.E.; Stok, J.E.; Chow, S.; De Voss, J.J. Significance of Protein-Substrate Hydrogen Bonding for the Selectivity of P450-Catalyzed Oxidations. Chem. Eur. J. 2019, 25, 4149–4155. [Google Scholar] [CrossRef]
  60. Quan, Z.; Awakawa, T.; Wang, D.; Hu, Y.; Abe, I. Multidomain P450 Epoxidase and a Terpene Cyclase from the Ascochlorin Biosynthetic Pathway in Fusarium sp. Org. Lett. 2019, 21, 2330–2334. [Google Scholar] [CrossRef]
  61. Jiang, G.; Zhang, Y.; Powell, M.M.; Hylton, S.M.; Hiller, N.W.; Loria, R.; Ding, Y. A Promiscuous Cytochrome P450 Hydroxylates Aliphatic and Aromatic C-H Bonds of Aromatic 2,5-Diketopiperazines. ChemBioChem 2019, 20, 1068–1077. [Google Scholar] [CrossRef]
  62. Alkhalaf, L.M.; Barry, S.M.; Rea, D.; Gallo, A.; Griffiths, D.; Lewandowski, J.R.; Fulop, V.; Challis, G.L. Binding of Distinct Substrate Conformations Enables Hydroxylation of Remote Sites in Thaxtomin D by Cytochrome P450 TxtC. J. Am. Chem. Soc. 2019, 141, 216–222. [Google Scholar] [CrossRef]
  63. Schiavini, P.; Cheong, K.J.; Moiterssier, N.; Auclair, K. Active Site Crowding of Cytochrome P450 3A4 As a Strategy to Alter Its Selectivity. ChemBioChem 2017, 18, 248–252. [Google Scholar] [CrossRef]
  64. Kawakami, N.; Shoji, O.; Watanabe, Y. Direct Hydroxylation of Primary Carbons in Small Alkanes by Wild-Type Cytochrome P450BM3 Containing Perfluorocarboxylic Acids as Decoy Molecules. Chem. Sci. 2013, 4, 2344–2348. [Google Scholar] [CrossRef]
  65. Gregory, M.C.; Denisov, I.; Grinkova, Y.V.; Khatri, Y.; Sligar, S.G. Kinetic Solvent Isotope Effect in Human P450 CYP17A1-Mediated Androgen Formation: Evidence for a Reactive Peroxoanion Intermediate. J. Am. Chem. Soc. 2013, 135, 16245–16247. [Google Scholar] [CrossRef] [PubMed]
  66. Zhang, K.; Shafer, B.M.; Demars, M.D.; Stern, H.A.; Fasan, R. Controlled Oxidation of Remote sp3 C-H Bonds in Artemisinin via P450 Catalysts with Fine-Tuned Regio- and Stereoselectivity. J. Am. Chem. Soc. 2012, 134, 18695–18704. [Google Scholar] [CrossRef]
  67. Cantú Reinhard, F.G.; Sainna, M.A.; Upadhyay, P.; Balan, G.A.; Kumar, D.; Fornarini, S.; Crestoni, M.E.; de Visser, S.P. A Systematic Account on Aromatic Hydroxylation by a Cytochrome P450 Model Compound I: A Low-Pressure Mass Spectrometry and Computational Study. Chem. Eur. J. 2016, 22, 18608–18619. [Google Scholar] [CrossRef]
  68. Zhao, Y.; Marschall, E.; Treisman, M.; McKay, A.; Padva, L.; Crüsemann, M.; Nelson, D.R.; Steer, D.L.; Schittenhelm, R.B.; Tailhades, J.; et al. Cytochrome P450Blt Enables Versatile Peptide Cyclisation to Generate Histidine- and Tyrosine-Containing Crosslinked Tripeptide Building Blocks. Angew. Chem. Int. Ed. 2022, 61, e202204957. [Google Scholar] [CrossRef] [PubMed]
  69. Ji, L.; Faponle, A.S.; Quesne, M.G.; Sainna, M.A.; Zhang, J.; Franke, A.; Kumar, D.; van Eldik, R.; Liu, W.; de Visser, S.P. Drug Metabolism by Cytochrome P450 Enzymes: What Distinguishes the Pathways Leading to Substrate Hydroxylation Over Desaturation? Chem. Eur. J. 2015, 21, 9083–9092. [Google Scholar] [CrossRef]
  70. Escribano, B.; Colín-González, A.; Santamaria, A.; Túnez, I. The Role of Melatonin in Multiple Sclerosis, Huntington’s Disease and Cerebral Ischemia. CNS Neurol. Disord. Drug Targets 2014, 13, 1096–1119. [Google Scholar] [CrossRef]
  71. Slominski, A.T.; Semak, I.; Fischer, T.W.; Kim, T.-K.; Kleszczyński, K.; Hardeland, R.; Reiter, R.J. Metabolism of Melatonin in the Skin: Why Is It Important? Exp. Dermatol. 2017, 26, 563–568. [Google Scholar] [CrossRef]
  72. Hardeland, R. Taxon- and Site-Specific Melatonin Catabolism. Molecules 2017, 22, 2015. [Google Scholar] [CrossRef]
  73. Salehi, B.; Sharopov, F.; Fokou, P.V.T.; Kobylinska, A.; de Jonge, L.; Tadio, K.; Sharifi-Rad, J.; Posmyk, M.M.; Martorell, M.; Martins, N.; et al. Melatonin in Medicinal and Food Plants: Occurrence, Bioavailability, and Health Potential for Humans. Cells 2019, 8, 681. [Google Scholar] [CrossRef]
  74. Ma, X.; Idle, J.; Krausz, K.; Gonzalez, F. Metabolism of Melatonin by Human Cytochromes P450. Drug Metab. Dispos. 2005, 33, 489–494. [Google Scholar] [CrossRef] [PubMed]
  75. Schyman, P.; Usharani, D.; Wang, Y.; Shaik, S. Brain Chemistry: How Does P450 Catalyze the O-Demethylation Reaction of 5-Methoxytryptamine to Yield Serotonin? J. Phys. Chem. B 2010, 114, 7078–7089. [Google Scholar] [CrossRef] [PubMed]
  76. Mokkawes, T.; Lim, Z.Q.; de Visser, S.P. Mechanism of Melatonin Metabolism by CYP1A1. What Determines the Bifurcation Pathways of Hydroxylation Versus Deformylation? J. Phys. Chem. B 2022, 126, 9591–9606. [Google Scholar] [CrossRef] [PubMed]
  77. Mokkawes, T.; de Visser, S.P. Melatonin Activation by Cytochrome P450 Isozymes. How Does CYP1A2 Compare to CYP1A1? Int. J. Mol. Sci. 2023, 24, 3651. [Google Scholar] [CrossRef]
  78. De Visser, S.P. Second-Coordination Sphere Effects on Selectivity and Specificity of Heme and Nonheme Iron Enzymes. Chem. Eur. J. 2020, 26, 5308–5327. [Google Scholar] [CrossRef]
  79. Trott, O.; Olson, A.J. AutoDock Vina: Improving the Speed and Accuracy of Docking with a New Scoring Function, Efficient Optimization and Multithreading. J. Comput. Chem. 2010, 31, 455–461. [Google Scholar] [CrossRef]
  80. Pettersen, E.F.; Goddard, T.D.; Huang, C.C.; Couch, G.S.; Greenblatt, D.M.; Meng, E.C.; Ferrin, T.E. UCSF Chimera—A Visualization System for Exploratory Research and Analysis. J. Comput. Chem. 2004, 25, 1605–1612. [Google Scholar] [CrossRef]
  81. Ghafoor, S.; Mansha, A.; de Visser, S.P. Selective Hydrogen Atom Abstraction from Dihydroflavonol by a Nonheme Iron Center Is the Key Step in the Enzymatic Flavonol Synthesis and Avoids Byproducts. J. Am. Chem. Soc. 2019, 141, 20278–20292. [Google Scholar] [CrossRef]
  82. Louka, S.; Barry, S.M.; Heyes, D.J.; Mubarak, M.Q.E.; Ali, H.S.; Alkhalaf, L.M.; Munro, A.W.; Scrutton, N.S.; Challis, G.L.; de Visser, S.P. The Catalytic Mechanism of Aromatic Nitration by Cytochrome P450 TxtE: Involvement of a Ferric-PeroxyNitrite Intermediate. J. Am. Chem. Soc. 2020, 142, 15764–15779. [Google Scholar] [CrossRef]
  83. Himo, F.; de Visser, S.P. Status Report on the Quantum Chemical Cluster Approach for Modeling Enzyme Reactions. Commun. Chem. 2022, 5, 29. [Google Scholar] [CrossRef]
  84. İşci, Ü.; Faponle, A.S.; Afanasiev, P.; Albrieux, F.; Briois, V.; Ahsen, V.; Dumoulin, F.; Sorokin, A.B.; de Visser, S.P. Site-Selective Formation of an Iron(IV)-Oxo Species at the More Electron-Rich Iron Atom of Heteroleptic μ-Nitrido Diiron Phthalocyanines. Chem. Sci. 2015, 6, 5063–5075. [Google Scholar] [CrossRef] [PubMed]
  85. Ogliaro, F.; de Visser, S.P.; Cohen, S.; Kaneti, J.; Shaik, S. The Experimentally Elusive Oxidant of Cytochrome P450: A Theoretical “Trapping” Defining More Closely the “Real” Species. ChemBioChem 2001, 2, 848–851. [Google Scholar] [CrossRef] [PubMed]
  86. Ogliaro, F.; de Visser, S.P.; Shaik, S. The “Push” Effect of the Thiolate Ligand in Cytochrome P450: A Theoretical Gauging. J. Inorg. Biochem. 2002, 91, 554–567. [Google Scholar] [CrossRef]
  87. Hirao, H.; Kumar, D.; Thiel, W.; Shaik, S. Two States and Two More in the Mechanisms of Hydroxylation and Epoxidation by Cytochrome P450. J. Am. Chem. Soc. 2005, 127, 13007–13018. [Google Scholar] [CrossRef] [PubMed]
  88. Shaik, S.; Cohen, S.; Wang, Y.; Chen, H.; Kumar, D.; Thiel, W. P450 Enzymes: Their Structure, Reactivity, and Selectivity—Modeled by QM/MM Calculations. Chem. Rev. 2010, 110, 949–1017. [Google Scholar] [CrossRef]
  89. Green, M.T. Evidence for Sulfur-Based Radicals in Thiolate Compound I Intermediates. J. Am. Chem. Soc. 1999, 121, 7939–7940. [Google Scholar] [CrossRef]
  90. Schöneboom, J.C.; Lin, H.; Reuter, N.; Thiel, W.; Cohen, S.; Ogliaro, F.; Shaik, S. The Elusive Oxidant Species of Cytochrome P450 Enzymes: Characterization by Combined Quantum Mechanical/Molecular Mechanical (QM/MM) Calculations. J. Am. Chem. Soc. 2002, 124, 8142–8151. [Google Scholar] [CrossRef]
  91. De Visser, S.P.; Shaik, S.; Sharma, P.K.; Kumar, D.; Thiel, W. Active Species of Horseradish Peroxidase (HRP) and Cytochrome P450: Two Electronic Chameleons. J. Am. Chem. Soc. 2003, 125, 15779–15788. [Google Scholar] [CrossRef]
  92. Bathelt, C.M.; Zurek, J.; Mulholland, A.J.; Harvey, J.N. Electronic Structure of Compound I in Human Isoforms of Cytochrome P450 from QM/MM Modeling. J. Am. Chem. Soc. 2005, 127, 12900–12908. [Google Scholar] [CrossRef]
  93. Radoń, M.; Broclawik, E.; Pierloot, K. DFT and Ab Initio Study of Iron-Oxo Porphyrins: May They Have a Low-Lying Iron(V)-Oxo Electromer? J. Chem. Theory Comput. 2011, 7, 898–908. [Google Scholar] [CrossRef]
  94. Lonsdale, R.; Oláh, J.; Mulholland, A.J.; Harvey, J.N. Does Compound I Vary Significantly Between Isoforms of Cytochrome P450? J. Am. Chem. Soc. 2011, 133, 15464–15474. [Google Scholar] [CrossRef]
  95. Hirao, H.; Cheong, Z.H.; Wang, X. Pivotal Role of Water in Terminating Enzymatic Function: A Density Functional Theory Study of the Mechanism-Based Inactivation of Cytochromes P450. J. Phys. Chem. B 2012, 116, 7787–7794. [Google Scholar] [CrossRef]
  96. Hirao, H.; Chuanprasit, P.; Cheong, Y.Y.; Wang, X. How Is a Metabolic Intermediate Formed in the Mechanism-Based Inactivation of Cytochrome P450 by Using 1,1-Dimethylhydrazine: Hydrogen Abstraction or Nitrogen Oxidation? Chem. Eur. J. 2013, 19, 7361–7369. [Google Scholar] [CrossRef] [PubMed]
  97. Kepp, K.P. Heme Isomers Substantially Affect Heme’s Electronic Structure and Function. Phys. Chem. Chem. Phys. 2017, 19, 22355–22362. [Google Scholar] [CrossRef] [PubMed]
  98. Phung, Q.M.; Pierloot, K. Low-Lying Electromeric States in Chloro-Ligated Iron(IV)-Oxo Porphyrin As a Model for Compound I, Studied with Second-Order Perturbation Theory Based on Density Matrix Renormalization Group. J. Chem. Theory Comput. 2019, 15, 3033–3043. [Google Scholar] [CrossRef] [PubMed]
  99. Cheng, Q.; DeYonker, N.J. QM-Cluster Model Study of the Guaiacol Hydrogen Atom Transfer and Oxygen Rebound with Cytochrome P450 Enzyme GcoA. J. Phys. Chem. B 2021, 125, 3296–3306. [Google Scholar] [CrossRef]
  100. Mokkawes, T.; de Visser, S.P. Caffeine Biodegradation by Cytochrome P450 1A2. What Determines the Product Distributions? Chem. Eur. J. 2023, 29, e202203875. [Google Scholar] [CrossRef]
  101. Kumar, D.; de Visser, S.P.; Shaik, S. Oxygen Economy of Cytochrome P450: What Is the Origin of the Mixed Functionality as a Dehydrogenase–Oxidase Enzyme Compared with Its Normal Function? J. Am. Chem. Soc. 2004, 126, 5072–5073. [Google Scholar] [CrossRef]
  102. De Visser, S.P.; Kumar, D.; Cohen, S.; Shacham, R.; Shaik, S. A Predictive Pattern of Computed Barriers for C–H Hydroxylation by Compound I of Cytochrome P450. J. Am. Chem. Soc. 2004, 126, 8362–8363. [Google Scholar] [CrossRef]
  103. Shaik, S.; Kumar, D.; de Visser, S.P. A Valence Bond Modeling of Trends in Hydrogen Abstraction Barriers and Transition States of Hydroxylation Reactions Catalyzed by Cytochrome P450 Enzymes. J. Am. Chem. Soc. 2008, 130, 10128–10140. [Google Scholar] [CrossRef]
  104. Li, D.; Wang, Y.; Yang, C.; Han, K. Theoretical Study of N-Dealkylation of N-Cyclopropyl-N-Methylaniline Catalyzed by Cytochrome P450: Insight into the Origin of the Regioselectivity. Dalton Trans. 2009, 38, 291–297. [Google Scholar] [CrossRef] [PubMed]
  105. Kumar, D.; Tahsini, L.; de Visser, S.P.; Kang, H.Y.; Kim, S.J.; Nam, W. The Effect of Porphyrin Ligands on the Regioselective Dehydrogenation Versus Epoxidation of Olefins by Oxoiron(IV) Mimics of Cytochrome P450. J. Phys. Chem. A 2009, 113, 11713–11722. [Google Scholar] [CrossRef] [PubMed]
  106. Rydberg, P.; Olsen, L. Do Two Different Reaction Mechanisms Contribute to the Hydroxylation of Primary Amines by Cytochrome P450? J. Chem. Theory Comput. 2011, 7, 3399–3404. [Google Scholar] [CrossRef] [PubMed]
  107. Taxak, N.; Dixit, V.A.; Bharatam, P.V. Density Functional Study on the Cytochrome-Mediated S-Oxidation: Identification of Crucial Reactive Intermediate on the Metabolic Path of Thiazolidinediones. J. Phys. Chem. A 2012, 116, 10441–10450. [Google Scholar] [CrossRef] [PubMed]
  108. Li, J.; Schuurmann, G. Model and Mechanism: N-Hydroxylation of Primary Aromatic Amines by Cytochrome P450. Angew. Chem. Int. Ed. 2013, 52, 744–748. [Google Scholar]
  109. Wang, X.; Shi, J.; Liu, Y. Oxidative Rearrangement Mechanism of Pentalenolactone F Catalyzed by Cytochrome P450 CYP161C2 (PntM). Inorg. Chem. 2018, 57, 8933–8941. [Google Scholar] [CrossRef]
  110. Chatfield, D.C.; Morozov, A.N. Proximal Pocket Controls Alkene Oxidation Selectivity of Cytochrome P450 and Chloroperoxidase Toward Small, Nonpolar Substrates. J. Phys. Chem. B 2018, 122, 7828–7838. [Google Scholar] [CrossRef]
  111. Oláh, J.; Mulholland, A.J.; Harvey, J.N. Understanding the Determinants of Selectivity in Drug Metabolism Through Modeling of Dextromethorphan Oxidation by Cytochrome P450. Proc. Natl. Acad. Sci. USA 2011, 108, 6050–6055. [Google Scholar] [CrossRef]
  112. Li, X.-X.; Postils, V.; Sun, W.; Faponle, A.S.; Solà, M.; Wang, Y.; Nam, W.; de Visser, S.P. Reactivity Patterns of (Protonated) Compound II and Compound I of Cytochrome P450: Which Is the Better Oxidant? Chem. Eur. J. 2017, 23, 6406–6418. [Google Scholar] [CrossRef]
  113. Ali, H.S.; Henchman, R.H.; de Visser, S.P. Lignin Biodegradation by a Cytochrome P450 Enzyme: A Computational Study into Syringol Activation by GcoA. Chem. Eur. J. 2020, 26, 13093–13102. [Google Scholar] [CrossRef]
  114. Dias, A.H.S.; Yadav, R.; Mokkawes, T.; Kumar, A.; Skaf, M.S.; Sastri, C.V.; Kumar, D.; de Visser, S.P. Biotransformation of Bisphenol by Human Cytochrome P450 2C9 Enzymes: A Density Functional Theory Study. Inorg. Chem. 2023, 62, 2244–2256. [Google Scholar] [CrossRef] [PubMed]
  115. Case, D.A.; Cheatham III, T.E.; Darden, T.; Gohlke, H.; Luo, R.; Merz, K.M., Jr.; Onufriev, A.; Simmerling, C.; Wang, B.; Woods, R.J. The Amber Biomolecular Simulation Program. J. Comput. Chem. 2005, 26, 1668–1688. [Google Scholar] [CrossRef] [PubMed]
  116. Li, P.; Merz, K.M. MCPB.py: A Python Based Metal Center Parameter Builder. J. Chem. Inf. Model. 2016, 56, 599–604. [Google Scholar] [CrossRef]
  117. Maier, J.A.; Martinez, C.; Kasavajhala, K.; Wickstrom, L.; Hauser, K.E.; Simmerling, C. ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB. J. Chem. Theory Comput. 2015, 11, 3696–3713. [Google Scholar] [CrossRef]
  118. Frisch, M.J.; Trucks, G.W.; Schlegel, H.B.; Scuseria, G.E.; Robb, M.A.; Cheeseman, J.R.; Scalmani, G.; Barone, V.; Mennucci, B.; Petersson, G.A.; et al. Gaussian 09; Revision D.01; Gaussian, Inc.: Wallingford, CT, USA, 2013. [Google Scholar]
  119. Ali, H.S.; de Visser, S.P. Electrostatic Perturbations in the Substrate-Binding Pocket of Taurine/α-Ketoglutarate Dioxygenase Determine Its Selectivity. Chem. Eur. J. 2022, 28, e202104167. [Google Scholar] [CrossRef] [PubMed]
  120. Ali, H.S.; de Visser, S.P. How Does the Nonheme Iron Enzyme NapI React Through L-Arginine Desaturation Rather Than Hydroxylation? A QM/MM Study. ACS Catal. 2023, 13, 10705–10721. [Google Scholar] [CrossRef]
  121. Becke, A.D. Density-Functional Thermochemistry. III. The Role of Exact Exchange. J. Chem. Phys. 1993, 98, 5648–5652. [Google Scholar] [CrossRef]
  122. Lee, C.; Yang, W.; Parr, R.G. Development of the Colle-Salvetti Correlation-Energy Formula into a Functional of the Electron Density. Phys. Rev. B 1988, 37, 785–789. [Google Scholar] [CrossRef]
  123. Hay, P.J.; Wadt, W.R. Ab Initio Effective Core Potentials for Molecular Calculations. Potentials for the Transition Metal Atoms Sc to Hg. J. Chem. Phys. 1985, 82, 270–272. [Google Scholar] [CrossRef]
  124. Francl, M.M.; Pietro, W.J.; Hehre, W.J.; Binkley, J.S.; Gordon, M.S.; DeFrees, D.J.; Pople, J.A. Self-Consistent Molecular Orbital Methods. XXIII. A Polarization-Type Basis Set for Second-Row Elements. J. Chem. Phys. 1982, 77, 3654–3658. [Google Scholar] [CrossRef]
  125. Kendall, R.A.; Dunning, T.H., Jr.; Harrison, R.J. Electron Affinities of the First-Row Atoms Revisited. Systematic Basis Sets and Wave Functions. J. Chem. Phys. 1992, 96, 6796–6806. [Google Scholar] [CrossRef]
Figure 1. Extracts of the active site of three P450 isozymes, namely P450 3A4, P450 2C19 and P450 1B1.
Figure 1. Extracts of the active site of three P450 isozymes, namely P450 3A4, P450 2C19 and P450 1B1.
Molecules 28 06961 g001
Figure 2. Catalytic cycle of P450 enzymes and products obtained of oxygen atom reactions.
Figure 2. Catalytic cycle of P450 enzymes and products obtained of oxygen atom reactions.
Molecules 28 06961 g002
Figure 3. Reaction products observed for P450 activation of melatonin.
Figure 3. Reaction products observed for P450 activation of melatonin.
Molecules 28 06961 g003
Figure 4. Melatonin docking into Chain A of the P450 2C19 structure of the 4GQS pdb file. Left-hand side shows the overlay of the ten lowest energy docked poses, while the individual top six poses are shown on the right, with C6–O and CMe–O distances between heme and substrate highlighted in Å.
Figure 4. Melatonin docking into Chain A of the P450 2C19 structure of the 4GQS pdb file. Left-hand side shows the overlay of the ten lowest energy docked poses, while the individual top six poses are shown on the right, with C6–O and CMe–O distances between heme and substrate highlighted in Å.
Molecules 28 06961 g004
Figure 5. Data analysis of the MD simulations run on P450 1B1 and P450 2C19 with melatonin bound. (a) RMSD of P450 1B1 for the MD simulation over 5000 frames. (b) RMSD of P450 2C19 for the MD simulation over 5000 frames. (c) Snapshot analysis of P450 2C19 (in red) and P450 1B1 (in blue) MD simulations, where the substrate versus Cpd I distances are plotted for the C6–O and CH2H–O distances for each frame. (d) Overlay of the starting (in blue) and final (in amber) structures of the MD simulations for P450 1B1 (top) and P450 2C19 (bottom). Right-hand side gives the colored protein structures based on RMSF values during the MD simulations with blue representing small RMSF and red a large RMSF value.
Figure 5. Data analysis of the MD simulations run on P450 1B1 and P450 2C19 with melatonin bound. (a) RMSD of P450 1B1 for the MD simulation over 5000 frames. (b) RMSD of P450 2C19 for the MD simulation over 5000 frames. (c) Snapshot analysis of P450 2C19 (in red) and P450 1B1 (in blue) MD simulations, where the substrate versus Cpd I distances are plotted for the C6–O and CH2H–O distances for each frame. (d) Overlay of the starting (in blue) and final (in amber) structures of the MD simulations for P450 1B1 (top) and P450 2C19 (bottom). Right-hand side gives the colored protein structures based on RMSF values during the MD simulations with blue representing small RMSF and red a large RMSF value.
Molecules 28 06961 g005
Figure 6. (a) Cluster model examined in the present study for the activation of melatonin by P450. Amino acids are annotated according to the 4GQS pdb file. (b) Superposition of the doublet spin-optimized geometry of A (depicted in amber) upon the crystal structure coordinates.
Figure 6. (a) Cluster model examined in the present study for the activation of melatonin by P450. Amino acids are annotated according to the 4GQS pdb file. (b) Superposition of the doublet spin-optimized geometry of A (depicted in amber) upon the crystal structure coordinates.
Molecules 28 06961 g006
Figure 7. Optimized Cpd I geometries of P450 2C19 model A with DFT. Singly occupied molecular orbitals are also shown. Bond lengths are in Å.
Figure 7. Optimized Cpd I geometries of P450 2C19 model A with DFT. Singly occupied molecular orbitals are also shown. Bond lengths are in Å.
Molecules 28 06961 g007
Figure 8. DFT calculated constraint geometry scan for hydrogen atom abstraction from the methoxy group by quartet spin Cpd I. Each data point represents a full geometry optimization with a fixed O–H distance. Several structures along the scan profile are shown.
Figure 8. DFT calculated constraint geometry scan for hydrogen atom abstraction from the methoxy group by quartet spin Cpd I. Each data point represents a full geometry optimization with a fixed O–H distance. Several structures along the scan profile are shown.
Molecules 28 06961 g008
Figure 9. (a) DFT-calculated transition state geometry for hydrogen atom abstraction from the methoxy group by quartet and doublet spin Cpd I. Bond lengths are in Å and angles in degrees. (b) Intrinsic reaction coordinate profile for the reaction coordinate in forward and reverse directions, starting from the transition state geometry at a reaction coordinate of 0.
Figure 9. (a) DFT-calculated transition state geometry for hydrogen atom abstraction from the methoxy group by quartet and doublet spin Cpd I. Bond lengths are in Å and angles in degrees. (b) Intrinsic reaction coordinate profile for the reaction coordinate in forward and reverse directions, starting from the transition state geometry at a reaction coordinate of 0.
Molecules 28 06961 g009
Figure 10. (a) DFT-optimized geometries of the radical intermediates IM1. Bond lengths are in Å and angles in degrees. (b) DFT-optimized geometries of the alcohol product complexes Pr. Bond lengths are in Å and angles in degrees.
Figure 10. (a) DFT-optimized geometries of the radical intermediates IM1. Bond lengths are in Å and angles in degrees. (b) DFT-optimized geometries of the alcohol product complexes Pr. Bond lengths are in Å and angles in degrees.
Molecules 28 06961 g010
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Mokkawes, T.; De Visser, T.; Cao, Y.; De Visser, S.P. Melatonin Activation by Human Cytochrome P450 Enzymes: A Comparison between Different Isozymes. Molecules 2023, 28, 6961. https://doi.org/10.3390/molecules28196961

AMA Style

Mokkawes T, De Visser T, Cao Y, De Visser SP. Melatonin Activation by Human Cytochrome P450 Enzymes: A Comparison between Different Isozymes. Molecules. 2023; 28(19):6961. https://doi.org/10.3390/molecules28196961

Chicago/Turabian Style

Mokkawes, Thirakorn, Tamar De Visser, Yuanxin Cao, and Sam P. De Visser. 2023. "Melatonin Activation by Human Cytochrome P450 Enzymes: A Comparison between Different Isozymes" Molecules 28, no. 19: 6961. https://doi.org/10.3390/molecules28196961

APA Style

Mokkawes, T., De Visser, T., Cao, Y., & De Visser, S. P. (2023). Melatonin Activation by Human Cytochrome P450 Enzymes: A Comparison between Different Isozymes. Molecules, 28(19), 6961. https://doi.org/10.3390/molecules28196961

Article Metrics

Back to TopTop