An assessment of protein-ligand binding site polarizability

Electronic polarizability, an important physical property of biomolecules, is currently ignored in most biomolecular calculations. Yet, it is widely believed that polarization could account for a substantial fraction of the total nonbonded energy of a system. This belief is supported by studies of small complexes in vacuum. This perception is driving the development of a new class of polarizable force fields for biomolecular calculations. However, the quantification of this term for protein-ligand complexes has never been attempted. Here we explore the polarizable nature of protein-ligand complexes in order to evaluate the importance of this effect. We introduce two indexes describing the polarizability of protein binding sites. These we apply to a large range of pharmaceutically relevant complexes. We offer a recommendation of particular complexes as test systems with which to determine the effects of polarizability and as test cases with which to test the new generation of force fields. Additionally, we provide a tabulation of the amino acid composition of these binding sites and show that composition can be specific for certain classes of proteins. We also show that the relative abundance of some amino acids is different in binding sites than elsewhere in a protein's structure.     

Comparison of SARS and NL63 papain-like protease binding sites and binding site dynamics: inhibitor design implications

The human severe acute respiratory syndrome coronavirus (SARS-CoV) and the NL63 coronaviruses are human respiratory pathogens for which no effective antiviral treatment exists. The papain-like cysteine proteases encoded by the coronavirus (SARS-CoV: PLpro; NL63: PLP1 and PLP2) represent potential targets for antiviral drug development. Three recent inhibitor-bound PLpro structures highlight the role of an extremely flexible six-residue loop in inhibitor binding. The high binding site plasticity is a major challenge in computational drug discovery/design efforts. From conventional molecular dynamics and accelerated molecular dynamics (aMD) simulations, we find that with conventional molecular dynamics simulation, PLpro translationally samples the open and closed conformation of BL2 loop on a picosecond-nanosecond timescale but does not reproduce the peptide bond inversion between loop residues Tyr269 and Gln270 that is observed on inhibitor GRL0617 binding. Only aMD simulation, starting from the closed loop conformation, reproduced the 180° ?-ψ dihedral rotation back to the open loop state. The Tyr-Gln peptide bond inversion appears to involve a progressive conformational change of the full loop, starting at one side, and progressing to the other. We used the SARS-CoV apo X-ray structure to develop a model of the NL63-PLP2 catalytic site. Superimposition of the PLP2 model on the PLpro X-ray structure identifies binding site residues in PLP2 that contribute to the distinct substrate cleavage site specificities between the two proteases. The topological and electrostatic differences between the two protease binding sites also help explain the selectivity of non-covalent PLpro inhibitors.     

Finding biologically relevant protein domain interactions: conserved binding mode analysis

Proteins evolved through the shuffling of functional domains, and therefore, the same domain can be found in different proteins and species. Interactions between such conserved domains often involve specific, well-determined binding surfaces reflecting their important biological role in a cell. To find biologically relevant interactions we developed a method of systematically comparing and classifying protein domain interactions from the structural data. As a result, a set of conserved binding modes (CBMs) was created using the atomic detail of structure alignment data and the protein domain classification of the Conserved Domain Database. A conserved binding mode is inferred when different members of interacting domain families dock in the same way, such that their structural complexes superimpose well. Such domain interactions with recurring structural themes have greater significance to be biologically relevant, unlike spurious crystal packing interactions. Consequently, this study gives lower and upper bounds on the number of different types of interacting domain pairs in the structure database on the order of 1000-2000. We use CBMs to create domain interaction networks, which highlight functionally significant connections by avoiding many infrequent links between highly connected nodes. The CBMs also constitute a library of docking templates that may be used in molecular modeling to infer the characteristics of an unknown binding surface, just as conserved domains may be used to infer the structure of an unknown protein. The method's ability to sort through and classify large numbers of putative interacting domain pairs is demonstrated on the oligomeric interactions of globins.     

Structure-based phenotyping predicts HIV-1 protease inhibitor resistance

Mutations in HIV-1 drug targets lead to resistance and consequent therapeutic failure of antiretroviral drugs. Phenotypic resistance assays are time-consuming and costly, and genotypic rules-based interpretations may fail to predict the effects of multiple mutations. We have developed a computational procedure that rapidly evaluates changes in the binding energy of inhibitors to mutant HIV-1 PR variants. Models of WT complexes were produced from crystal structures. Mutant complexes were built by amino acid substitutions in the WT complexes with subsequent energy minimization of the ligand and PR binding site residues. Accuracy of the models was confirmed by comparison with available crystal structures and by prediction of known resistance-related mutations. PR variants from clinical isolates were modeled in complex with six FDA-approved PIs, and changes in the binding energy (DeltaE(bind)) of mutant versus WT complexes were correlated with the ratios of phenotypic 50% inhibitory concentration (IC(50)) values. The calculated DeltaE(bind) of five PIs showed significant correlations (R(2) = 0.7-0.8) with IC(50) ratios from the Virco Antivirogram assay, and the DeltaE(bind) of six PIs showed good correlation (R(2) = 0.76-0.85) with IC(50) ratios from the Virologic PhenoSense assay. DeltaE(bind) cutoffs corresponding to a four-fold increase in IC(50) were used to define the structure-based phenotype as susceptible, resistant, or equivocal. Blind predictions for 78 PR variants gave overall agreement of 92% (kappa = 0.756) and 86% (kappa = 0.666) with PhenoSense and Antivirogram phenotypes, respectively. The structural phenotyping predicted drug resistance of clinical HIV-1 PR variants with an accuracy approaching that of frequently used cell-based phenotypic assays.     

Molecular dynamics simulations of ethanol binding to the transmembrane domain of the glycine receptor: implications for the channel potentiation mechanism

The glycine receptor (GlyR) is potentiated by ethanol and other anesthetics. The potentiation mechanism at the molecular level is unknown and remains elusive, but mutagenic studies have shown that ethanol and other volatile anesthetics bind to a pocket between TM1, TM2, and TM3. The present study extends previous studies (Cheng et al., Proteins 2007;68:581-593) wherein we conducted homology modeling and molecular dynamics (MD) simulations to construct models of the homopentameric alpha1 subunits of the GlyR transmembrane domain in open and closed states. To understand the potentiation of GlyR by ethanol we compare the binding of ethanol molecules to the channel in these different states. We observe that ethanol stably resides inside solvent-accessible cavities found in the open state of GlyR that are formed by I229 (of TM1) in one subunit and S267 and A288 (of TM2 and TM3, respectively) in the adjacent subunit. The volume of these putative binding pockets is state-dependent. Selective binding to the open states of receptors has been proposed to explain the potentiating actions of this class of anesthetics. In accordance with this model, our MD simulations suggest that the potentiation of ethanol on GlyR may be effected through preferential binding of ethanol molecules to an inter-subunit binding pocket in the open state.     

Structural insights into the cellular retinaldehyde-binding protein (CRALBP)

Cellular retinaldehyde-binding protein (CRALBP) is an essential protein in the human visual cycle without a known three-dimensional structure. Previous studies associate retinal pathologies to specific mutations in the CRALBP protein. Here we use homology modeling and molecular dynamics methods to investigate the structural mechanisms by which CRALBP functions in the visual cycle. We have constructed two conformations of CRALBP representing two states in the process of ligand association and dissociation. Notably, our homology models map the pathology-associated mutations either directly in or adjacent to the putative ligand-binding cavity. Furthermore, six novel residues have been identified to be crucial for the hinge movement of the lipid-exchange loop in CRALBP. We conclude that the binding and release of retinoid involve large conformational changes in the lipid-exchange loop at the entrance of the ligand-binding cavity.     

Comparison of Rosetta flexible-backbone computational protein design methods on binding interactions

Computational design of binding sites in proteins remains difficult, in part due to limitations in our current ability to sample backbone conformations that enable precise and accurate geometric positioning of side chains during sequence design. Here we present a benchmark framework for comparison between flexible-backbone design methods applied to binding interactions. We quantify the ability of different flexible backbone design methods in the widely used protein design software Rosetta to recapitulate observed protein sequence profiles assumed to represent functional protein/protein and protein/small molecule binding interactions. The CoupledMoves method, which combines backbone flexibility and sequence exploration into a single acceptance step during the sampling trajectory, better recapitulates observed sequence profiles than the BackrubEnsemble and FastDesign methods, which separate backbone flexibility and sequence design into separate acceptance steps during the sampling trajectory. Flexible-backbone design with the CoupledMoves method is a powerful strategy for reducing sequence space to generate targeted libraries for experimental screening and selection.     

Clarifying allosteric control of flap conformations in the 1TW7 crystal structure of HIV-1 protease

The 1TW7 crystal structure of HIV-1 protease shows the flaps placed wider and more open than what is seen in other examples of the semi-open, apo form. It has been proposed that this might be experimental evidence of allosteric control, because crystal packing creates contacts to the "elbow region" of the protease, which may cause deformation of the flaps. Recent dynamics simulations have shown that the conformation seen in 1TW7 relaxes into the typical semi-open conformation in the absence of the crystal contacts, definitively showing that the crystal contacts cause the deformation (Layten et al., J Am Chem Soc 2006;128:13360-13361). However, this does not prove or disprove allosteric modulation at the elbow. In this study, we have conducted additional simulations, supplemented with experimental testing, to further probe the possibility of 1TW7 providing an example of allosteric control of the flap region. We show that the contacts are unstable and do not restrict the conformational sampling of the flaps. The deformation seen in the 1TW7 crystal structure is simply opportunistic crystal packing and not allosteric control.     

Protein-drug interactions: characterization of inhibitor binding in complexes of DHFR with trimethoprim and related derivatives

Structural and thermodynamic interactions for the binding of trimethoprim and related congeners to the binary complex of dihydrofolate reductase (from chicken) and NADPH are explored using free energy simulation methods. Good agreement between structures from experimental X-ray refinement and molecular dynamics simulations is found for the complexes. Agreement with thermodynamic measurements is found as well. Our thermodynamic calculations suggest that entropic contributions and desolvation thermodynamics can play a crucial role in overall binding, and that extreme care must be taken in the use of simple model building to rationalize or predict protein-drug binding.     

Structural genomics: computational methods for structure analysis

The success of structural genomics initiatives requires the development and application of tools for structure analysis, prediction, and annotation. In this paper we review recent developments in these areas; specifically structure alignment, the detection of remote homologs and analogs, homology modeling and the use of structures to predict function. We also discuss various rationales for structural genomics initiatives. These include the structure-based clustering of sequence space and genome-wide function assignment. It is also argued that structural genomics can be integrated into more traditional biological research if specific biological questions are included in target selection strategies.     

Lysozyme binding with sulfa group of antibiotics: Comparative binding thermodynamics and computational study

Protein–drug binding study addresses a broad domain of biological problems associating molecular functions to physiological processes composing and modifying safe and coherent drug therapeutics. Comparison of the binding and thermodynamic aspect of sulfa drugs, sulfamethazine (SMZ) and sulfadiazine (SDZ) with the protein, lysozyme (Lyz) was carried out using spectroscopic, molecular docking, and dynamic simulation studies. The fluorescence quenching and apparent binding constant for the binding reaction were calculated to be in the order of 10⁴ M⁻¹, slightly higher for SMZ as compared to that of SDZ and the binding stoichiometry values show 1:1 drug binding with each protein molecule. The binding was an enthalpy-driven spontaneous exothermic reaction favored by a negative enthalpy and a positive entropy contribution for both the complexes. The binding from the fluorescence quenching data suggests a static quenching mechanism dominated by non-polyelectrolytic components. Synchronous fluorescence denoted a conformational change in the tryptophan moiety of the protein. Molecular docking and dynamic simulation study provided a clearer view of the interaction pattern, where the drug resides on the binding pocket of the protein structure. Overall the protein, Lyz binding of SMZ was slightly more favored over SDZ.     

Computational insights into the binding pattern of mitochondrial calcium uniporter inhibitor through homology modeling,molecular dynamics simulation,binding free energy prediction and density functional theory calculation

Abstract

The mitochondrial calcium uniporter (MCU) is the critical protein of the inner mitochondrial membrane that is the primary mediator for calcium uptake into the mitochondrial matrix. Herein we built the optimal homology model of human MCU which was refined through all-atom molecular dynamics simulation. Then, the binding mode of known inhibitor was predicted through molecular docking method, along with molecular dynamics simulation and binding free energy calculation to verify the docking result and stability of the protein-inhibitor complex. Finally, density functional theory (DFT) calculation enhanced our understanding of the molecular interaction of MCU inhibitor. Our research would provide a deeper insight into the interactions between human MCU and its inhibitor, which boosts to develop novel therapy against MCU related disease.

Communicated by Ramaswamy H. Sarma     

Molecular dynamics simulations of apo and holo forms of fatty acid binding protein 5 and cellular retinoic acid binding protein II reveal highly mobile protein,retinoic acid ligand,and water molecules

Structural and dynamic properties from a series of 300 ns molecular dynamics, MD, simulations of two intracellular lipid binding proteins, iLBPs, (Fatty Acid Binding Protein 5, FABP5, and Cellular Retinoic Acid Binding Protein II, CRABP-II) in both the apo form and when bound with retinoic acid reveal a high degree of protein and ligand flexibility. The ratio of FABP5 to CRABP-II in a cell may determine whether it undergoes natural apoptosis or unrestricted cell growth in the presence of retinoic acid. As a result, FABP5 is a promising target for cancer therapy. The MD simulations presented here reveal distinct differences in the two proteins and provide insight into the binding mechanism. CRABP-II is a much larger, more flexible protein that closes upon ligand binding, where FABP5 transitions to an open state in the holo form. The traditional understanding obtained from crystal structures of the gap between two β-sheets of the β-barrel common to iLBPs and the α-helix cap that forms the portal to the binding pocket is insufficient for describing protein conformation (open vs. closed) or ligand entry and exit. When the high degree of mobility between multiple conformations of both the ligand and protein are examined via MD simulation, a new mode of ligand motion that improves understanding of binding dynamics is revealed.     

Ligand binding and homology modelling of insect odorant‐binding proteins

This review describes the main characteristics of odorant‐binding proteins (OBPs) for homology modelling and presents a summary of structure prediction studies on insect OBPs, along with the steps involved and some limitations and improvements. The technique involves a computing approach to model protein structures and is based on a comparison between a target (unknown structure) and one or more templates (experimentally determined structures). As targets for structure prediction, OBPs are considered to play a functional role for recognition, desorption, scavenging, protection and transportation of hydrophobic molecules (odourants) across an aqueous environment (lymph) to olfactory receptor neurones (ORNs) located in sensilla, the main olfactory units of insect antennae. Lepidopteran pheromone‐binding proteins, a subgroup of OBPs, are characterized by remarkable structural features, in which high sequence identities (approximately 30%) among these OBPs and a large number of available templates can facilitate the prediction of precise homology models. Approximately 30 studies have been performed on insect OBPs using homology modelling as a tool to predict their structures. Although some of the studies have assessed ligand‐binding affinity using structural information and biochemical measurements, few have performed docking and molecular dynamic (MD) simulations as a virtual method to predict best ligands. Docking and MD simulations are discussed in the context of discovery of novel semiochemicals (super‐ligands) using homology modelling to conceive further strategies in insect management.     

A computational investigation on the role of glycosylation in the binding of alpha1 nicotinic acetylcholine receptor with two alpha-neurotoxins

Based on the crystal structure of the extracellular domain (ECD) of the mouse nicotinic acetylcholine receptor (nAChR) alpha1 subunit bound to α-bungarotoxin (α-Btx) we have generated in silico models of the human nAChR α1 bound to α-Btx and α-cobratoxin (α-Cbtx), both in the presence and in the absence of the N-linked carbohydrate chain. To gain further insight into the structural role of glycosylation molecular dynamics (MD) simulations were carried out in explicit solvent so as to compare the conformational dynamics of the binding interface between nAChR α1 and the two toxins. An interesting observation during the course of the MD simulations is the strengthening of the receptor-toxin interaction in the presence of the carbohydrate chain, mediated through a shift in the position of the sugars towards the bound toxin. Critical protein-sugar interactions implicate residues Ser187 and Trp184 of nAChR and Thr6, Ser9, and Thr15 of α-Btx, as well as Thr6 and Pro7 of α-Cbtx. Analysis of the predicted residue-specific intermolecular interactions is intended to inspire biophysical studies on the functional role of glycosylation in the gating mechanism.     

Homology models of two isozymes of manganese peroxidase: Prediction of a Mn(II) binding site

The three-dimensional structures of two isozymes of manganese peroxidase (MnP) have been predicted from homology modeling using lignin peroxidase as a template. Although highly homologous, MnP differs from LiP by the requirement of Mn(II) as an intermediate in its oxidation of substrates. The Mn(II) site is absent in LiP and unique to the MnP family of peroxidases. The model structures were used to identify the unique Mn(II) binding sites, to determine to what extent they were conserved in the two isozymes, and to provide insight into why this site is absent in LiP. For each isozyme of MnP, three candidate Mn(II) binding sites were identified. Energy optimizations of the three possible Mn(II) enzyme complexes allowed the selection of the most favorable Mn(II) binding site as one with the most anionic oxygen moieties best configured to act as ligands for the Mn(II). At the preferred site, the Mn(II) is coordinated to the carboxyl oxygens of Glu-35, Glu-39, and Asp-179, and a propionate group of the heme. The predicted Mn(II) binding site is conserved in both isozymes. Comparison between the residues at this site in MnP and the corresponding residues in LiP shows that two of the three anionic residues in MnP are replaced by neutral residues in LiP, explaining why LiP does not bind Mn(II). © 1994 Wiley-Liss, Inc.     

Molecular dynamics characterization of the active cavity of carboxypeptidase A and some of its inhibitor adducts.

Molecular dynamics (MD) calculations have been performed on carboxypeptidase A and on its adducts with inhibitors, such as d-phenylalanine (dPhe) and acetate. The catalytically essential zinc ion present in the protein was explicitly included in all the simulations. The simulation was carried out over a sphere of 15 A centered on the zinc ion. The crystallographic water molecules were explicitly taken into account; then the protein was solvated with a 18 A sphere of water molecules. MD calculations were carried out for 45-60 ps. There is no large deviation from the available X-ray structures of native and the dPhe adduct for the MD structures. Average MD structures were calculated starting from the X-ray structure of the dPhe adduct, and, from a structure obtained by docking the inhibitor in the native structure. Comparison between these two structures and with that of the native protein shows that some of the key variations produced by inhibitor binding are reproduced by MD calculations. Addition of acetate induces structural changes relevant for the understanding of the interaction network in the active cavity. The structural variations induced by different inhibitors are examined. The effects of these interactions on the catalytic mechanism and on the binding of substrate are discussed.     

Analysis of the structure of HIV-1 protease complexed with a hexapeptide inhibitor. Part II: Molecular dynamic studies of the active site region

Six models of the catalytic site of HIV-1 protease complexed with a reduced peptide inhibitor, MVT-101, were investigated. These studies focused on the details of protonation of the active site, its total net charge and hydrogen bonding pattern, which was consistent with both the observed coplanar configuration of the acidic groups of the catalytic aspartates (Asp-25 and Asp-125) and the observed binding mode of the inhibitor. Molecular dynamic simulations using AMBER 4.0 indicated that the active site should be neutral. The planarity of the aspartate dyad may be due to the formation of two hydrogen bonds: one between the inner O_δ1oxygen atoms of the two catalytic aspartates and another between the O_δ2atom of Asp-125 and the nitrogen atom of the reduced peptide bond of the bound inhibitor. This would require two additional protonations, either of both aspartates, or of one Asp and the amido nitrogen atom of Nle-204. Our results favor the Asp-inhibitor protonation but the other one is not excluded. Implications of these findings for the mechanism of enzymatic catalysis are discussed. Dynamic properties of the hydrogen bond network in the active site and an analysis of the interaction energy between the inhibitor and the protease are presented. © 1997 Wiley-Liss, Inc.     

Extent of enthalpy-entropy compensation in protein-ligand interactions

The extent of enthalpy-entropy compensation in protein-ligand interactions has long been disputed because negatively correlated enthalpy (ΔH) and entropy (TΔS) changes can arise from constraints imposed by experimental and analytical procedures as well as through a physical compensation mechanism. To distinguish these possibilities, we have created quantitative models of the effects of experimental constraints on isothermal titration calorimetry (ITC) measurements. These constraints are found to obscure any compensation that may be present in common data representations and regression analyses (e.g., in ΔH vs. -TΔS plots). However, transforming the thermodynamic data into ΔΔ-plots of the differences between all pairs of ligands that bind each protein diminishes the influence of experimental constraints and representational bias. Statistical analysis of data from 32 diverse proteins shows a significant and widespread tendency to compensation. ΔΔH versus ΔΔG plots reveal a wide variation in the extent of compensation for different ligand modifications. While strong compensation (ΔΔH and -TΔΔS opposed and differing by < 20% in magnitude) is observed for 22% of modifications (twice that expected without compensation), 15% of modifications result in reinforcement (ΔΔH and -TΔΔS of the same sign). Because both enthalpy and entropy changes arise from changes to the distribution of energy states on binding, there is a general theoretical expectation of compensated behavior. However, prior theoretical studies have focussed on explaining a stronger tendency to compensation than actually found here. These results, showing strong but imperfect compensation, will act as a benchmark for future theoretical models of the thermodynamic consequences of ligand modification.     

Thermodynamic resolution: How do errors in modeled protein structures affect binding affinity predictions?

The present study addresses the effect of structural distortion, caused by protein modeling errors, on calculated binding affinities toward small molecules. The binding affinities to a total of 300 distorted structures based on five different protein–ligand complexes were evaluated to establish a broadly applicable relationship between errors in protein structure and errors in calculated binding affinities. Relatively accurate protein models (less than 2 Å RMSD within the binding site) demonstrate a 14.78 (±7.5)% deviation in binding affinity from that calculated by using the corresponding crystal structure. For structures of 2–3 Å, 3–4 Å, and >4 Å RMSD within the binding site, the error in calculated binding affinity increases to 20.8 (±5.98), 22.79 (±11.3), and 29.43 (±11.47)%, respectively. The results described here may be used in combination with other tools to evaluate the utility of modeled protein structures for drug development or other ligand‐binding studies. Proteins 2010. © 2010 Wiley‐Liss, Inc.