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Proceeding Paper

Computational Investigations of Arylnaphthalene Lignan Lactones as Anticancer Agents †

by
Rachida Mansouri
1,*,
Abdeslem Bouzina
2 and
Yousra Ouafa Bouone
2
1
Environmental Research Center (CRE), Annaba 23000, Algeria
2
Laboratory of Applied Organic Chemistry, Bioorganic Chemistry Group, Sciences Faculty, Chemistry Department, Badji Mokhtar-Annaba University, Box 12, Annaba 23000, Algeria
*
Author to whom correspondence should be addressed.
Presented at the 28th International Electronic Conference on Synthetic Organic Chemistry (ECSOC-28), 15–30 November 2024; Available online: https://sciforum.net/event/ecsoc-28.
Chem. Proc. 2024, 16(1), 54; https://doi.org/10.3390/ecsoc-28-20218
Published: 14 November 2024

Abstract

:
Cancer is a significant global health challenge, comprising over 200 distinct types that severely impact life expectancy and account for high mortality rates in the 21st century. This complexity underscores the urgent need for ongoing research, preventive strategies, and improved treatment options. In the quest for new anticancer drug candidates, arylnaphthalene lignan lactones—natural compounds found in plants like Phyllanthus and Cleistanthus—have gained attention due to their antioxidant, anti-inflammatory, and anticancer properties. An in silico study was conducted to evaluate their potential against colon cancer by targeting epidermal growth factor receptor (EGFR), a key tyrosine kinase. Docking simulations revealed that these compounds exhibited excellent stability within the active site of EGFR, with docking scores of −8.02 and −7.96 kcal/mol. Further, the derivatives demonstrated significant interactions, including hydrogen bonds with Met 769 and hydrophobic contacts within the EGFR cavity, akin to those formed by the known inhibitor 4-anilinoquinazoline. An ADMET analysis was also performed to evaluate their pharmacokinetic properties and toxicity, further supporting their potential as promising anticancer agents.

1. Introduction

Cancer includes a wide range of diseases characterized by the abnormal growth of cells, which divide without control, have the ability to invade and destroy healthy tissue, and can spread throughout the body. It remains the second leading cause of death globally, claiming approximately 9.6 million lives in 2018 [1]. However, the survival rates are improving for many cancer types due to advancements in detection, treatment, and prevention strategies. Currently, there are over 200 types of cancer, including prominent forms such as breast, skin, lung, and colon cancer.
The goals of cancer treatment are to cure patients whenever possible and to significantly extend their lifespans with the best possible quality of life. Cancer treatments come in various types, which can be used alone or in combination. The selection of treatments is based on the type of cancer, its stage, and its location. Traditional treatments classified as “local” include surgery and radiotherapy, whereas “systemic” treatments encompass chemotherapy and hormone therapy. In recent years, there has been a surge in interest in traditional plant-based medicines, which have demonstrated enduring therapeutic value. These plants contain compounds that may aid in the treatment of cancer. Among these compounds, arylnaphthalene lignan lactones have emerged as notable candidates due to their potential anticancer properties [2]. These natural products, derived from various plant sources, exhibit a range of biological activities, including the ability to inhibit cancer cell growth and induce apoptosis in malignant cells. Among the various targets for drug development in cancer chemotherapy, EGFR has garnered attention due to its critical role in cancer progression [3,4].
On the other hand, molecular modeling is a modern approach that enhances our understanding of chemical and biological phenomena, including molecular docking and property prediction [5]. These techniques are particularly useful in predicting interactions between ligands and their target proteins. Molecular docking, in particular, offers insights into how ligands engage with protein receptors, influencing relevant biological mechanisms [6].
In this study, we investigated two natural arylnaphthalene lignan lactones using molecular docking to assess their potential to inhibit the EGFR enzyme. An ADMET analysis was also conducted to evaluate their pharmacokinetic properties. This research aims to contribute to the development of novel cancer therapies derived from natural sources.

2. Materials and Methods

2.1. Molecular Docking

The human EGFR complexed with 4-anilinoquinazoline (PDB ID: 1M17) was obtained from the Protein Data Bank [7] and was prepared with the Protein Preparation Wizard tool implemented in the Schrodinger suite, assigning bond orders, adding hydrogens, and optimizing the H-bonding networks. The three-dimensional structures of the derivatives were constructed using the Maestro software (version 3.4, Schrödinger LLC, New York, NY, USA, 2015) and prepared with Ligprep using the Optimized Potentials for Liquid Simulation OPLS3e force field with the convergence of heavy atoms of 0.30 Å [8].

2.2. ADMET Prediction

To predict the pharmacokinetic properties of the compounds through ADMET analysis, we utilized several reliable online servers, including SwissADME (Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland) [9], and Molsoft (Molsoft LLC, San Diego, CA, USA) [10], which offer free access to predictive models. These tools streamline the drug discovery process by reducing the time and costs while enhancing the identification of viable drug candidates for clinical applications.

3. Results and Discussion

3.1. Molecular Docking

To understand the interactions between the EGFR active site and the arylnaphthalene lignan lactone compounds (1, 2), we performed a molecular docking simulation. The accuracy of the docking protocol was evaluated by re-docking the reference ligand (4-anilinoquinazoline) into the active site of the EGFR enzyme. The docked reference ligand and the co-crystallized one occupied nearly the same position in the receptor (RMSD = 0.40 Å), confirming the validity of our docking protocol, which employed the extra precision (XP) scoring function. The results of this study, including the estimated scores of the docked positions, are presented in Table 1. Compounds 1 and 2 demonstrated excellent stability (−8.02 and −7.96 kcal/mol) within the binding cavity, with slip scores higher than that of the reference ligand (−7.85 kcal/mol).
The molecular docking results revealed that the interactions within the active site of the EGFR enzyme were primarily driven by hydrogen bonds and hydrophobic forces. These findings are crucial in determining the binding affinity and specificity of arylnaphthalene lignan lactone compounds within the EGFR binding pocket.
The reference ligand formed a key hydrogen bond between the nitrogen atom of the quinazoline fragment and the Met 769 residue, which plays a significant role in EGFR inhibition. Additionally, the reference ligand engaged in hydrophobic interactions with several residues, including Phe 999, Phe 771, Thr 830, Lys 721, Lys 704, Asp 831, Glu 738, and Pro 770, creating strong attractions with the aromatic rings of the ligand.
Podophyllotoxin formed two hydrogen bonds in the inhibition of tyrosine kinases. The first bond occurred between the hydroxyl (OH) group and Asp 831, while the second was between the methoxy oxygen and Met769.
Additionally, podophyllotoxin engages in significant hydrophobic interactions through its two aromatic rings and the heterocycle, interacting with Pro 770, Cys 773, Met 769, Leu 820, and Met 742; all residues are located within the active pocket of the EGFR enzyme. Furthermore, podophyllotoxin is stabilized by two π-cation interactions with Lys 721.
Compound 2 formed a hydrogen bond with Met 769 and exhibited hydrophobic interactions between its aromatic ring and several residues, including Pro 720, Phe 771, Cys 773, Thr 766, Thr 830, Lys 721, and Asp 831. Additionally, it established a π-cation interaction with Lys 721 (Figure 1). Both compounds 1 and 2 demonstrated superior inhibition of the EGFR enzyme compared to the reference ligand. The hydroxyl groups, along with the heterocycles and aromatic rings, played a crucial role in achieving this result.

3.2. ADMET Study

The study of the ADMET parameters (absorption, distribution, metabolism, excretion, and toxicity) is vital in drug development, directly impacting a compound’s efficacy and safety. These parameters encompass the drug’s ability to be absorbed into the bloodstream, its distribution within the tissue, the metabolic processes that it undergoes, its elimination from the body, and assessments of its potential toxicity.
A key advancement in this area is Lipinski’s “Rule of Five,” which provides criteria for the determination of a compound’s drug-likeness and oral bioavailability, including its molecular weight, LogP, and hydrogen bond counts.
The pharmacokinetic parameters of the studied compounds are summarized in Table 2. Compound 1 has a molecular weight of 414.41 g/mol (<500), indicating that it is a low-molecular-weight drug.
The number of hydrogen bond acceptors and donors in compound 1 falls within Lipinski’s limits, with eight hydrogen bond acceptors (<10) and one hydrogen bond donor (<5). Additionally, compounds 1 and 2 exhibit good lipophilicity, as indicated by their iLogp values of 2.83 and 4.65, respectively, both of which are less than 5.
The topological polar surface area (TPSA) is essential in predicting the bioavailability of drug molecules and indicates their capacity to form hydrogen bonds. The TPSA of compounds 1 and 2 was found to be in the range of 92.68–118.60 Å2, both below the threshold of 140 Å2. Furthermore, the ADME study revealed that compound 1 did not violate Lipinski’s Rule of Five.
The drug-likeness score (DLS) helps to determine whether a chemical compound is a suitable candidate for medication. Compound 1, which exhibited the highest stability in the active site of the EGFR enzyme (docking score: −8.02), demonstrated a favorable drug-likeness score (DLS: 0.11), making it suitable for oral administration. In contrast, compound 2 showed a DLS score of −0.42 (Figure 2).

4. Conclusions

The results of this molecular docking study demonstrated that the two natural arylnaphthalene lignan lactones interacted with EGFR effectively. Compounds 1 and 2 exhibited better docking scores compared to the reference ligand, with scores of −8.02 and −7.96 kcal/mol, respectively. We also investigated the ADMET profiles of compounds 1 and 2, evaluating them against the Lipinski Rule of Five to assess their bioactivity, molecular descriptors, and drug-likeness. The results indicate that the compounds exhibit favorable oral bioavailability, highlighting their potential as viable candidates for further pharmaceutical development.
This study demonstrates that these compounds are a promising new template for the development of EGFR inhibitors.

Author Contributions

Conceptualization, R.M. and A.B.; methodology, A.B.; software, A.B.; validation, Y.O.B.; formal analysis, R.M.; investigation, A.B.; writing—original draft preparation, R.M.; writing—review and editing, A.B. 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

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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  5. Stanzione, F.; Giangreco, I.; Cole, J.C. Use of molecular docking computational tools in drug discovery. Prog. Med. Chem. 2021, 60, 273–343. [Google Scholar] [PubMed]
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  7. Stamos, J.; Sliwkowski, M.X.; Eigenbrot, C. Structure of the epidermal growth factor receptor kinase domain alone and in complex with a 4-anilinoquinazoline inhibitor. J. Biol. Chem. 2002, 277, 46265–46272. [Google Scholar] [CrossRef] [PubMed]
  8. Release S, 2, LigPrep, Version 3.4; Schrödinger LLC: New York, NY, USA, 2015; p. 26400175.
  9. Available online: http://www.swissadme.ch/ (accessed on 25 June 2024).
  10. Available online: https://www.molsoft.com/ (accessed on 25 June 2024).
Figure 1. The 3D binding interactions of compounds 1 and 2 after docking calculations in the active site of the EGFR enzyme. The amino acid residues are shown as purple sticks and H-bonds are shown as black lines.
Figure 1. The 3D binding interactions of compounds 1 and 2 after docking calculations in the active site of the EGFR enzyme. The amino acid residues are shown as purple sticks and H-bonds are shown as black lines.
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Figure 2. Estimation curve of the DLSs of the studied compounds and 4-anilinoquinazoline.
Figure 2. Estimation curve of the DLSs of the studied compounds and 4-anilinoquinazoline.
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Table 1. Docking scores (kcal/mol) of arylnaphthalene lignan lactone compounds (1, 2) and the reference ligand (4-anilinoquinazoline) against EGFR enzyme.
Table 1. Docking scores (kcal/mol) of arylnaphthalene lignan lactone compounds (1, 2) and the reference ligand (4-anilinoquinazoline) against EGFR enzyme.
CompoundDocking Score (kcal/mol)
1: Podophyllotoxin−8.02
2: 2′,3′,4′,5′-tetramethylcleistanthin−7.96
4-Anilinoquinazoline−7.58
Table 2. Pharmacokinetic parameters and DLS of arylnaphthalene lignan lactone compounds (1, 2) and 4-anilinoquinazoline.
Table 2. Pharmacokinetic parameters and DLS of arylnaphthalene lignan lactone compounds (1, 2) and 4-anilinoquinazoline.
Property124-Anilinoquinazoline
Molecular (g/mole)414.41598.59393.44
Rotatable bonds 41010
H-bond acceptors8126
H-bond donors 101
Log Po/WiLogP2.834.653.67
Log S ESOL −3.71−5.31−4.11
GI HighHighHigh
Bioavailability score0.550.170.55
TPSA (Å2) 92.68118.6074.73
BBBNoNoYes
Log Kp (cm/s) −7.40−7.53−6.35
Violations020
DLS0.11−0.420.90
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MDPI and ACS Style

Mansouri, R.; Bouzina, A.; Bouone, Y.O. Computational Investigations of Arylnaphthalene Lignan Lactones as Anticancer Agents. Chem. Proc. 2024, 16, 54. https://doi.org/10.3390/ecsoc-28-20218

AMA Style

Mansouri R, Bouzina A, Bouone YO. Computational Investigations of Arylnaphthalene Lignan Lactones as Anticancer Agents. Chemistry Proceedings. 2024; 16(1):54. https://doi.org/10.3390/ecsoc-28-20218

Chicago/Turabian Style

Mansouri, Rachida, Abdeslem Bouzina, and Yousra Ouafa Bouone. 2024. "Computational Investigations of Arylnaphthalene Lignan Lactones as Anticancer Agents" Chemistry Proceedings 16, no. 1: 54. https://doi.org/10.3390/ecsoc-28-20218

APA Style

Mansouri, R., Bouzina, A., & Bouone, Y. O. (2024). Computational Investigations of Arylnaphthalene Lignan Lactones as Anticancer Agents. Chemistry Proceedings, 16(1), 54. https://doi.org/10.3390/ecsoc-28-20218

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