1. Introduction
Identifying small molecules (called fragments) that interact with therapeutic proteins is the first (and, therefore, critical) step in Fragment-Based Drug Design (FBDD). This step consists of screening fragments against a purified protein using biophysical techniques, of which NMR, X-ray crystallography, and Surface Plasmon Resonance (SPR) are the most widely used [
1,
2,
3,
4,
5,
6,
7,
8]. In recent years, weak affinity chromatography has been proposed [
9,
10,
11] as a viable alternative to these established methods, as it benefits from some interesting key features: (i) the protein target is immobilized, allowing it to be reused and reducing protein consumption; (ii) pools of up to several tens of fragments can be screened in a single experiment with mass spectrometric detection, reducing protein consumption and screening time [
12]; and (iii) it is adapted to unpurified samples, which reduces the time and cost of sample preparation. However, fragment screening by weak affinity chromatography has been almost exclusively applied to soluble proteins [
13,
14,
15].
Screening of membrane proteins (MPs) is more challenging, regardless of the method used. Two main strategies have been developed to make use of such highly sophisticated proteins for WAC applications, including (i) immobilization of cell membrane fragments, with the protein of interest surrounded by all other cell membrane components and (ii) use of purified unmodified protein stabilized in biomimetic membranes [
16]. This latter strategy includes various approaches, such as the insertion of the MPs into immobilized artificial membranes (IAM), proteoliposomes (where the orientation of the protein through the membrane is random), or smaller supramolecular assemblies such as lipodisks or nanodiscs. In the latter two supramolecular assemblies, both the intra- and extra-cellular sides of the MPs embedded in nano-objects are exposed to the bulk solution so that the active site is always exposed to the surrounding media. It has been shown that lipodisks, which consist of a circular planar lipid bilayer stabilized by lipids modified with a polyethylene glycol head group that preferentially accumulate at the edge of the disk, can be a reliable membrane biomimetic environment for the study of integral MPs by WAC [
17]. More recently, we have shown that miniaturized WAC (nano-WAC) can also be extended to highly valuable MPs embedded in biomimetic membranes such as nanodiscs [
11]. The nanodisc is a supramolecular assembly containing the protein embedded in phospholipids (POPC and POPG) and surrounded by a biotinylated membrane scaffold protein (MSP). The miniaturization of the affinity column allows for a drastic reduction in the consumption of these supramolecular assemblies, which are difficult or very expensive to produce in large quantities but have proven to be valuable for the study of intact (wild-type) membrane proteins. We have thus demonstrated the proof of concept of using nano-WAC to screen fragments on MPs embedded in nanodiscs.
The proposed methodology is based on the preparation of generic, universal, miniaturized, and in situ-synthesized monolithic columns modified with streptavidin (
Figure 1). The (wild-type) target MP, stabilized in a biotinylated nanodisc as a biomimetic environment, is then immobilized on the generic column (in situ dynamic grafting) by the high-affinity streptavidin/biotin interaction. This grafting step is very rapid (which limits the degradation of fragile proteins) and reduces the amount of protein used to a strict minimum.
The proof of concept was carried out on a monolithic poly(GMA-co-EDMA) stationary phase using a model GPCR, Adenosine-A2A Receptor (AA
2AR) [
11]. With this monolith, the amount of so-called “active” or “binding” protein sites (
Bact) determined by performing affinity chromatography experiments with caffeine, a fragment of known affinity for the protein, was about 11.1 pmol (i.e., 1.3 ± 0.1 pmol cm
−1). Regarding the density of binding sites (ratio of the number of binding sites (
Bact) and the volume of mobile phase in the column (
Vm)), we were able to detect fragments with medium affinity for AA
2AR (caffeine, theophylline) but failed to detect other fragments (5-methoxy-1H-pyrrolo[3,2-b]pyridine (F468) and 5-methoxy-1H-pyrrolo[2,3-c]pyridine (F469)) identified by other screening methods [
11]. Indeed, for such compounds, the non-specific retention due to hydrophobic effects with the monolithic support was too high when compared to the specific retention due to affinity (specific interaction). We estimated that the maximum detectable
Kd value was around 100 µM or even lower if non-specific interactions were not negligible. Such a K
d threshold is a limitation when very low affinities need to be detected, which is necessary in Fragment-Based Drug Design approaches. Indeed, some of the marketed drugs resulting from FBDD success stories were developed using very low-affinity starting “hit” fragments: fragments with
Kd of 200 µM for vemurafenib, 300 µM for venetoclax, and even up to 900 µM) [
1]. Improving the performance of affinity columns is, therefore, highly desired to be able to detect fragments with greater K
d values, even in the presence of non-specific interactions that cannot be avoided.
In the present study, we first show by a brief rationale that a higher density of grafted proteins per unit volume combined to reduce non-specific interactions is necessary to extend the affinity range to higher
Kd values. We then present a detailed characterization of existing affinity columns based on poly(GMA-co-EDMA) monoliths generating non-specific hydrophobic interactions in order to propose a more adapted alternative setup to achieve our goal, i.e., the use of a more hydrophilic poly(DHPMA-co-MBA) monolith previously developed for hydrophilic interaction chromatography [
18] combined with a multilayer nanodisc grafting strategy.
2. Nano-WAC Background and Rationale
The use and exploitation of weak affinity chromatography is based on the affinity of specific molecules for a protein immobilized on the support, measured by the association constant (Ka) or dissociation constant (Kd).
When working under conditions where the concentration of a given ligand in the mobile phase is well below its
Kd value for a protein, the retention factor (
k), which corresponds to the ratio of the amounts of solute (i.e., ligand) in the stationary and mobile phases, is given by the following relationship (Equation (1)):
where
Bact is the number of active binding sites, and
Vm is the dead volume of the column.
Under these conditions and for a given column (given Bact/Vm ratio), a fragment that has no interaction with the protein will elute at the dead time (in zonal mode) or will break through at the dead time (in frontal mode). The greater the affinity of the fragment for the protein (i.e., the lower the Kd of the ligand–protein complex), the greater the retention factor.
If the ligand concentration is of the same order of magnitude as the
Kd (0.1
Kd < [
L] < 10
Kd), relationship 1 becomes:
where [
L] is the ligand (fragment) concentration.
Under these conditions, the retention factor is no longer a constant and varies with the concentration of the ligand in the mobile phase. The retention time or breakthrough time will decrease with increasing ligand concentration.
In practice, the retention of fragments on an affinity column is generally not the result of specific interactions alone but, rather, a combination of specific interactions with the immobilized protein and non-specific interactions with the support. In the presence of non-specific interactions, relationship (2) becomes:
where
knsi is the retention factor for non-specific interactions (assuming that the ligand concentration is within the linear domain of the adsorption isotherm of the material).
To highlight the specific retention (affinity) of a compound for a given protein, its retention on a reference column (a column without protein or a column with a denatured protein) and on an affinity column can be compared. If no difference is observed, there is no affinity for the immobilized protein.
It has also been shown previously that the presence/absence of specific interactions can be highlighted by carrying out two experiments at two different and extreme ligand concentrations between 0.1
Kd and 10
Kd (e.g., ligand concentrations of 10 µM and 1000 µM for compounds with
Kd values ranging from a few tens of µM to a few hundreds of µM) [
11]. If the compound does not interact specifically with the protein, no change in the retention factor (retention time, breakthrough time) will be observed. If the compound interacts specifically with the protein, a change in retention factor will be observed. For a given pair of concentrations, the higher the affinity (the lower the
Kd), the greater the variation in retention factor that is observed between the two concentrations. For a given pair of concentrations and a given
Kd value, the higher the protein active site density (
Bact/
Vm), the greater the variation in retention factor.
In fragment screening, the main concern is to be able to identify all fragments with specific affinities for the immobilized protein, and, in particular, those with very low affinities (i.e., high Kd values), as discussed above. This is related to the ability to detect minute retention shifts on the chromatograms. If the limit of detection of the affinity is set at a variation of the retention factor of x% between the two concentrations under investigation, i.e., , the affinity detection threshold therefore depends on the Bact/Vm ratio, which must be maximized, and on the knsi, which must be minimized.
Indeed, for a given set of screening parameters (affinity column and ligand concentrations), the non-specific retention factor affects the minimum affinity that can be detected. In order to detect the affinity, the following condition should be fulfilled:
For example, if two experiments are carried out at two extreme concentrations of 10 and 1000 µM,
Figure 2 shows (
y-axis) the maximum non-specific retention factor (
knsi, limit) that must not be exceeded to detect the affinity of a compound with a given
Kd (
x-axis). This graph is given for two values of
Bact: 12 pmol for the 350 nL poly(GMA-co-EDMA) reference column (orange line) and a higher
Bact value of 30 pmol (blue line). Comparison of the two plots (orange and blue lines) clearly shows that an increase in
Bact (for a given column volume) allows lower affinities (higher
Kd values) to be detected, with fewer constraints on non-specific interactions.
Currently, using the
Bact value obtained with the poly(GMA-co-EDMA) monolith (12 pmol for a 350 nL column), only compounds with negligible non-specific interactions can be detected with low-affinity fragments (orange trace in
Figure 2). For example, detection of a fragment with a
Kd of approximately 200 µM is achievable for fragments with a non-specific retention factor
knsi of less than 0. If we refer to a previous study on non-specific interactions with such a monolith, this limit cannot be reached (more than 50% of the fragments exceed this threshold for non-specific interactions [
19]). At a higher
knsi value of 2, only fragments with a
Kd below 70 µM can be unambiguously detected.
These simulations show that it is essential to reduce non-specific interactions and increase the volume density of protein-binding active sites to make affinity chromatography a powerful tool for identifying low-affinity ligands of MPs inserted into nanodiscs. These objectives can be achieved either by modifying the monolithic support (for a more hydrophilic support with a larger specific surface area) or by modifying the nanodisc immobilization.
3. Results and Discussion
3.1. In-Depth Characterization of Poly(GMA-co-EDMA) Affinity Capillary Columns Grafted with NDs and Opportunities for Improvement
Poly(GMA-co-EDMA) monolithic affinity columns functionalized with NDs were prepared (see
Figure 1) by direct capture of the biotinylated nanodiscs on the (generic) streptavidin-functionalized column. In order to choose the best strategy for increasing the density of active AA
2AR binding sites (
Bact,AA2AR), the following questions need to be answered.
This question can be answered by comparing the total number of NDs grafted (
Btot,AA2AR) and the number of active binding sites (
Bact,AA2AR). The total number of NDs captured was measured by on-line spectrophotometric (UV-Vis) monitoring during ND percolation (breakthrough of NDs from the column is observed at 280 nm when the column is saturated with NDs). On poly(GMA-co-EDMA) monoliths, the total number of NDs captured (
Btot,AA2AR) is 1.5 ± 0.2 pmol.cm
−1 (
Supplementary Material Figure S1). The amount of active AA
2AR binding sites (
Bact,AA2AR) was determined in situ by frontal affinity chromatography using caffeine as a known test ligand (
Kd caffeine/AA2AR = 23 µM) by plotting the inverse of the amount of caffeine captured (1/q
capt) at different concentrations as a function of the inverse of the concentration of caffeine (1/[
L]). The number of active AA
2AR binding sites (
Bact,AA2AR) was equal to 1.3 ± 0.1 pmol.cm
−1 (
Supplementary Material Figure S2). These two values are not significantly different, indicating that immobilization does not alter the binding properties of proteins inserted into NDs.
Generic columns functionalized with streptavidin can be in situ-characterized by frontal affinity chromatography (nanoFAC-UV) to determine the number of streptavidin binding sites (
Bact,strepta) available using the same methodology as the one used for the determination of the number of AA
2AR binding sites, except that 4′-Hydroxyazobenzene-2-carboxylic acid (HABA) is used as the known ligand of streptavidin (
Kd HABA/streptavidin = 100 µM) (
Supplementary Material Figure S3). On the poly(GMA-co-EDMA) monolith, the number of active binding sites capable of binding a biotin (
Bact,strepta) was measured to be 8.3 ± 0.3 pmol.cm
−1 (
n = 4 columns), which would theoretically allow an equivalent number of ND
S to be captured (provided that one ND binds one streptavidin binding site). On poly(GMA-co-EDMA) monoliths, the total number of NDs captured (
Btot,AA2AR) was 1.5 ± 0.2 pmol cm
−1, much lower than the number of streptavidin interaction sites present on the support (ratio 1/5, ND/streptavidin binding site). Given that each ND has an average of four to five biotins (MSP biotinylation rate = 2.3 and two MSPs per ND), the limitation in the number of captured nanodiscs could be due to the multivalency of the ND grafting (one ND occupying multiple streptavidin binding sites). To validate or invalidate this hypothesis, the number of residual streptavidin active binding sites (
Bact,strepta) was measured again after the ND grafting step. After the ND grafting step, 5.0 ± 0.7 pmol.cm
−1 of streptavidin active binding sites remained on the support. This shows that 3 pmol cm
−1 of streptavidin binding sites are occupied by 1.5 pmol cm
−1 of ND, i.e., that each ND occupies an average of two active streptavidin sites (multivalency of two). This result also shows that there are still a large number of active streptavidin binding sites available on the support and that the limitation in the number of NDs captured is not due to a lack of active streptavidin binding sites but more likely to steric hindrance issues. This could be explained by the relatively large size of NDs compared to streptavidin. Indeed, the NDs used have a diameter of approximately 13 nm, whereas the size of streptavidin is approximately 5 nm in diameter [
20].
Increasing the length of the spacer arm between the biotin and NDs could allow the reagent to form a long and flexible link, reducing the steric hindrance to binding to streptavidin molecules. Meanwhile, the spacer arm promotes ND rotation and the favorable orientation of the immobilized AA
2AR binding site [
21]. Spacer arm length refers to the distance between conjugated molecules and is usually classified as short (<10 Å), medium (10.1–30 Å), or long (>30 Å) [
22]. NDs were prepared using membrane scaffold proteins (MSPs) biotinylated with two spacer arms of different sizes, 29 and 56 Angstroms for the short PEG4 arm and the long PEG12 arm, respectively. A slight (approximately 15%) and not significant (given the variation coefficient of about 20%) increase in
Btot,A2AR and
Bact,A2AR was observed with a longer spacer arm (
Supplementary Material Figure S4).
From the answers to these various questions, it appeared that only by changing the nature of the monolith and/or the ND grafting pathway would it be possible to increase the amount of NDs grafted.
3.2. Evaluation of a More Hydrophilic Monolith for ND Immobilization
To reduce non-specific interaction, we envisioned the use of poly(DHPMA-co-MBA), a more hydrophilic monolith, synthesized with a diol acrylate monomer (2,3-Dihydroxypropyl methacrylate, DHMPA) and a more hydrophilic crosslinker (Methylene bis acrylamide, MBA). This hydrophilic monolith offers reduced preparation time (the DHMPA is a diol monomer that eliminates the epoxy ring opening step, and its thermal polymerization at 87 °C takes only 30 min) and increased hydrophilicity, i.e., reduced non-specific interactions due to the hydrophobic effect [
18]. The immobilization of NDs was performed using the same strategy as for the poly(GMA-co-EDMA) monolith. The number of active streptavidin binding sites, AA
2AR binding sites, and grafted NDs were determined and compared to those obtained with the poly(GMA-co-EDMA) monolith. Results are summarized in
Table 1.
Firstly, this new monolith fulfills the key performance criteria by allowing a significant increase in both the number of active streptavidin binding sites and the number of NDs (total or active). Bact,strepta before grafting NDs, Btot,AA2AR and Bact,AA2AR have been found to increase approximately twofold. The ratio between the number of active AA2AR binding sites and the total number of grafted NDs (Bact,AA2AR/Btot,AA2AR), which represents the binding activity of NDs, remains high (90%) and unchanged when compared to that obtained with the previous monolith. With a binding activity of up to 90%, it can be assumed that each ND contains a protein capable of binding to its ligands. This result demonstrates that the poly(DHMPA-co-MBA) monolith is well suited for both the grafting of NDs and the biological binding properties of MPs. Again, it is worth noticing that the number of streptavidin active binding sites available after the grafting of NDs is still important. Up to 60% of the initial streptavidin binding sites remain free after the grafting of NDs on both monoliths. For the poly(DHMPA-co-MBA) monolith, 3.2 pmol cm−1 of NDs are grafted over the initial 14.6 pmol cm−1 streptavidin binding sites. Knowing that 8.7 pmol.cm−1 of active streptavidin binding sites remain on the support after the ND grafting, it can be deduced that 6 pmol cm−1 of streptavidin binding sites are occupied by 3.2 pmol cm−1 NDs, which are grafted in a divalent manner, i.e., each ND occupies an average of two active streptavidin sites (multivalency of two). The increase in the number of AA2AR binding sites on the poly(DHMPA-co-MBA) monolith is, thus, directly related to the increase in the number of active streptavidin binding sites. Again, steric hindrance is expected to limit the ratio of NDs to streptavidin binding sites, as it remains constant. This result shows that the poly(DHMPA-co-MBA) monolith has a higher specific surface area, which, as expected, allows a higher ND density to be achieved. To further increase the ND density, a multi-layer approach was then considered.
3.3. Multilayer Grafting
In order to further increase the number of active AA
2AR binding sites, a three-dimensional molecular assembly of the NDs has been considered. The relatively high biotin incorporation ratio (>5) on NDs is exploited in such an approach. Indeed, after a first grafting step of NDs on the streptavidin generic column (layer 1), some residual biotin is still present on the NDs (at least three biotins, as the grafting is bivalent, as shown in the previous section). These residual biotin residues are available to capture a new streptavidin layer. A solution of streptavidin was percolated, and the grafting was monitored at 280 nm. This second grafting step forms a mid-layer of streptavidin. As streptavidin has four active sites, it is expected that this streptavidin mid-layer is able to capture biotinylated NDs again (layer 2). This layering process can be repeated several times, as shown in
Figure 3.
This multi-layer process was applied to the poly(DHMPA-co-MBA) monolith. For each ND layer or streptavidin intermediate layer, the total amount of streptavidin or captured NDs (pmol cm
−1) was determined by monitoring the capture with UV spectrophotometric detection. The amount of active AA
2AR binding sites was measured by nano-FAC experiments after the first and third layers. Results are summarized in
Figure 4. Using the poly(DHPMA-co-MBA) monolith, the first step of ND grafting leads to a B
tot,AA2AR of approx. 3 pmol cm
−1. Approximately 2 pmol cm
−1 of streptavidin (i.e., 8 pmol cm
−1 of biotin interaction sites) is captured by the free biotins of the NDs of the first layer. This confirms that free biotins are still present and available after the first ND layer. A further ND layer of 1.1 pmol cm
−1 is captured on this streptavidin interface. The same behaviour was observed for the second mid-layer of streptavidin (addition of 1.9 pmol cm
−1) and the third layer of NDs (1.3 ± 0.1 pmol cm
−1). As already observed for the first layer, only a small fraction of the added biotin interaction sites are able to capture an ND due to steric hindrance. The cumulative amount of NDs after three layers is 5.4 pmol cm
−1, i.e., 43 pmol for a column length of 8 cm. Meanwhile, the number of active AA
2AR binding sites reaches 4.6 pmol cm
−1 (vs. 2.9 for the first layer). This represents an approximately 60% increase compared to the first layer. It should also be noted that the proportion of active AA
2AR binding sites is kept constant after the third layer (86.1 ± 1.3%), confirming that the NDs closest to the surface (layer 1) are still accessible to their ligands, even after the addition of several ND layers.
This increase in the number of MP binding sites (a gain of up to a factor of three over the poly(GMA-co-EDMA) monolith) and the reduction in non-specific interactions should allow the affinity range to be extended to lower affinities. With such amount of active binding sites and considering the simulation proposed in the rationale, the detection of low-affinity fragments should now be possible for compounds with higher non-specific interactions. For example, detection of a ligand with a Kd as high as 250 µM should be achievable for ligands with a non-specific retention factor knsi of 2. For compounds with negligible non-specific interactions, the affinity range should be extended to Kd = 1 mM.
3.4. Identification of “Very” Weak-Affinity Fragments
In order to verify whether the poly(DHPMA-co-MBA) monolithic columns, with a higher density of active sites and reduced non-specific interactions, are able to identify weak-affinity fragments for AA
2AR and have non-negligible non-specific interaction for the column, frontal mode affinity chromatography experiments were performed with two fragments described as potential AA
2AR ligands [
8]: 5-methoxy-1H-pyrrolo[3,2-b]pyridine (F468) and 5-methoxy-1H-pyrrolo[2,3-c]pyridine (F469). It should be noted that all the experiments carried out with these fragments on poly(GMA-co-EDMA) columns grafted with AA
2AR NDs were unsuccessful due to excessive non-specific retention, which hindered the detection of affinity if affinity was present.
The two fragments were percolated at different concentrations (ranging from 5 µM to 2 mM) on a poly(DHPMA-co-MBA) monolith functionalized with AA
2AR NDs (three layers). Breakthrough curves obtained are represented in
Figure 5. For both compounds, the decrease in reduced breakthrough time (breakthrough time/dead time) with an increasing concentration is characteristic of affinity interactions.
Kd values (210 µM and 190 µM for 5-methoxy-1H-pyrrolo[3,2-b]pyridine and 5-methoxy-1H-pyrrolo[2,3-c]pyridine, respectively) were estimated according to Equation (3), with a
Bact value of 38 pmol/column and a dead volume of 350 nL. The
knsi values (2.28 and 2.88 for 5-methoxy-1H-pyrrolo[3,2-b]pyridine and 5-methoxy-1H-pyrrolo[2,3-c]pyridine, respectively) were estimated from the breakthrough times at high concentration (2 mM), where non-specific interactions largely predominate over specific ones.
This result shows that even in the presence of non-negligible non-specific interaction (knsi higher than 2), we are able to detect very weak affinity and to give an estimation of the Kd value.
Competition experiments were then performed with theophylline (theophylline,
Kd = 25 µM [
23]) as the competitor (to confirm that the breakthrough time shift is due to affinity). The addition of a competitor at a concentration of 50 µM in the mobile phase resulted in a shift of the breakthrough time to a lower value for both compounds (
Figure 6). Such a result confirms that these two fragments have affinity for AA
2AR and that the interaction takes place at the same binding site as theophylline, i.e., in the orthosteric site.