Insight into the key active sites of afChiA1 based on molecular dynamics simulations and free energy calculations

In this study, the binding of the enzyme chitinase A1 (afChiA1) from the plant-type Aspergillus fumigatus with four potent inhibitors, allosamidin (ASM), acetazolamide (AZM), 8-chloro-theophylline (CTP) and kinetin (KIT) is investigated by molecular docking, molecular dynamics simulation and binding free energy calculation. The results reveal that the electrostatic interactions play an important role in the stabilisation of the binding of afChiA1 with inhibitors. Based on the binding energy of afChiA1-ligands, the key residues (Gln37 and Trp312) in the active binding pocket of the complex systems are confirmed by molecular mechanics/Poisson–Boltzmann surface area method, and the active inhibitors, ASM and AZM, both could form strong interaction with Gln37 and Trp312, and the non-active ligands, CTP and KIT, could not interact with these two residues, which is consistent with the result of experimental report. Then, it is identified that Gln37 and Trp312 should be one of the important active site residues of afChiA1.     

Deciphering the mechanism behind the varied binding activities of COXIBs through Molecular Dynamic Simulations,MM-PBSA binding energy calculations and per-residue energy decomposition studies

COX-2 is a well-known drug target in inflammatory disorders. COX-1/COX-2 selectivity of NSAIDs is crucial in assessing the gastrointestinal side effects associated with COX-1 inhibition. Celecoxib, rofecoxib, and valdecoxib are well-known specific COX-2 inhibiting drugs. Recently, polmacoxib, a COX-2/CA-II dual inhibitor has been approved by the Korean FDA. These COXIBs have similar structure with diverse activity range. Present study focuses on unraveling the mechanism behind the 10-fold difference in the activities of these sulfonamide-containing COXIBs. In order to obtain insights into their binding with COX-2 at molecular level, molecular dynamics simulations studies, and MM-PBSA approaches were employed. Further, per-residue decomposition of these energies led to the identification of crucial amino acids and interactions contributing to the differential binding of COXIBs. The results clearly indicated that Leu338, Ser339, Arg499, Ile503, Phe504, Val509, and Ser516 (Leu352, Ser353, Arg513, Ile517, Phe518, Val523, and Ser530 in PGHS-1 numbering) were imperative in determining the activity of these COXIBs. The binding energies and energy contribution of various residues were similar in all the three simulations. The results suggest that hydrogen bond interaction between the hydroxyl group of Ser516 and five-membered ring of diarylheterocycles augments the affinity in COXIBs. The SAR of the inhibitors studied and the per-residue energy decomposition values suggested the importance of Ser516. Additionally, the positive binding energy obtained with Arg106 explains the binding of COXIBs in hydrophobic channel deep in the COX-2 active site. The findings of the present work would aid in the development of potent COX-2 inhibitors.     

Electrostatic interaction-mediated conformational changes of adipocyte fatty acid binding protein probed by molecular dynamics simulation

Abstract

Adipocyte fatty acid binding protein (A-FABP) is a potential drug target for treatment of diabetes, obesity and atherosclerosis. Molecular dynamics (MD) simulations, principal component (PC) analysis and binding free energy calculations were combined to probe effect of electrostatic interactions of residues R78, R106 and R126 with inhibitors ZGB, ZGC and IBP on structural stability of three inhibitor/A-FABP complexes. The results indicate that mutation R126A produces significant influence on polar interactions of three inhibitors with A-FABP and these interactions are main force for driving the conformational change of A-FABP. Analyses on hydrogen bond interactions show that the decrease in hydrogen bonding interactions of residues R126 and Y128 with three inhibitors and the increase in that of K58 with inhibitors ZGC and IBP in the R126A mutated systems mostly regulate the conformational changes of A-FABP. This work shows that R126A can generate a significant perturbation on structural stability of A-FABP, which implies that R126 is of significance in inhibitor bindings. We expect that this study can provide a theoretical guidance for design of potent inhibitors targeting A-FABP.

Communicated by Ramaswamy H. Sarma     

A computational analysis of pyrazole-based inhibitors binding to Hsp90 using molecular dynamics simulation and the MM-GBSA method

Owing to the key role of heat-shock protein 90 (Hsp90) in the evolution, development and disease pathogenesis of cancer, it has been an important target for anti-cancer chemotherapy over the years. A five-nanosecond molecular dynamics simulation combined with the calculation of the binding free energy was carried out to investigate the binding mechanisms of three Hsp90 inhibitors 4BH, 2E1 and 2D9 to Hsp90. The binding free energy of each complex was computed using the molecular mechanics–generalised Born surface area method. Detailed binding free energies between each inhibitor and residues of Hsp90 were calculated using a per-residue basis decomposition method. The detailed inhibitor–residue interaction provides insights into binding mechanisms and in-depth understanding of the structure–affinity relationship. This study suggests that van der Waals energy is primarily responsible for driving the binding of the inhibitors to Hsp90, and the three inhibitors bind to Hsp90 in a similar binding mode. However, a substituent in 2D9 leads to higher binding free energy than the other two inhibitors. These data may assist in designing new potent drugs to combat cancer.     

Insights into the functional role of protonation states in the HIV-1 protease-BEA369 complex: molecular dynamics simulations and free energy calculations

The molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method combined with molecular dynamics (MD) simulations were used to investigate the functional role of protonation in human immunodeficiency virus type 1 (HIV-1) protease complexed with the inhibitor BEA369. Our results demonstrate that protonation of two aspartic acids (Asp25/Asp25′) has a strong influence on the dynamics behavior of the complex, the binding free energy of BEA369, and inhibitor–residue interactions. Relative binding free energies calculated using the MM-PBSA method show that protonation of Asp25 results in the strongest binding of BEA369 to HIV-1 protease. Inhibitor–residue interactions computed by the theory of free energy decomposition also indicate that protonation of Asp25 has the most favorable effect on binding of BEA369. In addition, hydrogen-bond analysis based on the trajectories of the MD simulations shows that protonation of Asp25 strongly influences the water-mediated link of a conserved water molecule, Wat301. We expect that the results of this study will contribute significantly to binding calculations for BEA369, and to the design of high affinity inhibitors.     

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     

Helix-capping interaction in λ cro protein: A free energy simulation analysis

The stability mutant Tyr-26 → Asp was studied in the Cro protein from bacteriophage λ using free energy molecular dynamics simulations. The mutant was calculated to be more stable than the wild type by 3.0 ± 1.7 kcal/mol/monomer, in reasonable agreement with experiment (1.4 kcal/mol/monomer). Moreover, the aspartic acid in the mutant was found to form a capping interation with the amino terminus of the third α-helix of Cro. The simulations were analyzed to understand better the source of the stability of this helix-capping interaction and to examine the results in light of previous explanations of stabilizing helix caps-namely, a model of local unsatisfied hydrogen bonds at the helix termini and the helix macro dipole model. Analysis of the simulations shows that the stabilizing effect of this charged helical cap is due both to favorable hydrogen bonds with backbone NH groups at the helix terminus and to favorable electrostatic interactions (but not hydrogen bonds) with their carbonyls (effectively the next row of local dipoles in the helix). However, electrostatic interactions are weak or negligible with backbone dipolar groups in the helix further away from the terminus. Moreover, the importance of other local electrostatic interactions with polar side chains near the helix terminus, which are neglected in most treatments of this effect, are shown to be important. Thus, the results support a model that is intermediate between the two previous explanations: both unsatisfied hydrogen bonds at the helix terminus and other, local preoriented dipolar groups stabilize the helix cap. These findings suggest that similar interactions with preoriented dipolar groups may be important for cooperativity in other charge–dipole interactions and may be employed to advantage for molecular design. © 1994 Wiley-Liss, Inc.     

Exploring stereochemical specificity of phosphotriesterase by MM-PBSA and MM-GBSA calculation and steered molecular dynamics simulation

Wild-type phosphotriesterase (PTE) prefers the S_P-enantiomers over the corresponding R_P-enantiomers by factors ranging from 10 to 90. To satisfy the binding modes of the PTE of S_P- and R_P-enantiomers, all-atom molecular dynamics simulations were carried out on two paraoxon S_P and R_P derivatives, namely, S_p-1 and R_p-1. Molecular mechanics Poisson–Boltzmann surface area and molecular mechanics generalized Born surface area (MM-PBSA and MM-GBSA) calculations indicated that His230 in S_p-1-PTE had a closer interaction with the substrate than that in R_p-1-PTE and that such interaction increased the catalytic efficiency of PTE for S_p-1. The steered molecular dynamics simulation indicated that, compared with S_p-1, R_p-1 in the unbinding (binding) may hinder some residue displacement, thus requiring more effort to escape the binding pocket of PTE. In addition, Trp131, Phe306, and Tyr309 are deemed important residues for the S_p-1 unbinding pathway via PTE, whereas Tyr309 alone is considered an important residue for the R_p-1 unbinding pathway. These results demonstrate the possibility of dramatically altering the stereoselectivity and overall reactivity of the native enzyme toward chiral substrates by modifying specific residues located within the active site of PTE.     

Molecular dynamics-solvated interaction energy studies of protein-protein interactions: the MP1-p14 scaffolding complex

Using the MP1-p14 scaffolding complex from the mitogen-activated protein kinase signaling pathway as model system, we explored a structure-based computational protocol to probe and characterize binding affinity hot spots at protein-protein interfaces. Hot spots are located by virtual alanine-scanning consensus predictions over three different energy functions and two different single-structure representations of the complex. Refined binding affinity predictions for select hot-spot mutations are carried out by applying first-principle methods such as the molecular mechanics generalized Born surface area (MM-GBSA) and solvated interaction energy (SIE) to the molecular dynamics (MD) trajectories for mutated and wild-type complexes. Here, predicted hot-spot residues were actually mutated to alanine, and crystal structures of the mutated complexes were determined. Two mutated MP1-p14 complexes were investigated, the p14(Y56A)-mutated complex and the MP1(L63A,L65A)-mutated complex. Alternative ways to generate MD ensembles for mutant complexes, not relying on crystal structures for mutated complexes, were also investigated. The SIE function, fitted on protein-ligand binding affinities, gave absolute binding affinity predictions in excellent agreement with experiment and outperformed standard MM-GBSA predictions when tested on the MD ensembles of Ras-Raf and Ras-RalGDS protein-protein complexes. For wild-type and mutant MP1-p14 complexes, SIE predictions of relative binding affinities were supported by a yeast two-hybrid assay that provided semiquantitative relative interaction strengths. Results on the MP1-mutated complex suggested that SIE predictions deteriorate if mutant MD ensembles are approximated by just mutating the wild-type MD trajectory. The SIE data on the p14-mutated complex indicated feasibility for generating mutant MD ensembles from mutated wild-type crystal structure, despite local structural differences observed upon mutation. For energetic considerations, this would circumvent costly needs to produce and crystallize mutated complexes. The sensitized protein-protein interface afforded by the p14(Y56A) mutation identified here has practical applications in screening-based discovery of first-generation small-molecule hits for further development into specific modulators of the mitogen-activated protein kinase signaling pathway.     

3D-QSAR-aided design of potent c-Met inhibitors using molecular dynamics simulation and binding free energy calculation

Abstract

Mesenchymal-epithelial transition factor (c-Met) is a member of receptor tyrosine kinase. It involves in various cellular signaling pathways which includes proliferation, motility, migration, and invasion. Over-expression of c-Met has been reported in various cancers. Hence, it is an ideal therapeutic target for cancer. The main objective of the study is to identify crucial residues involved in the inhibition of c-Met kinase and to design a series of potent imidazo [4,5-b] pyrazine derivatives as c-Met inhibitors. Docking was used to identify important active site residues involved in the inhibition of c-Met kinase which was further validated by 100 ns of molecular dynamics simulation and free energy calculation using molecular mechanics generalized born surface area. Furthermore, binding energy decomposition identified that residues Tyr1230, Met1211, Asp1222, Tyr1159, Met1160, Val1092, Ala1108, and Leu1157 contributed favorably to the binding stability of compound 32. Receptor-guided Comparative Molecular Field Analysis (CoMFA) (q² = 0.751, NOC = 6, r² = 0.933) and Comparative Molecular Similarity Indices Analysis (COMSIA) (q² = 0.744, NOC = 6, r² = 0.950) models were generated based on the docked conformation of the most active compound 32. The robustness of these models was tested using various validation techniques and found to be predictive. The results of CoMFA and CoMSIA contour maps exposed the regions favorable to enhance the activity. Based on this information, 27 novel c-Met inhibitors were designed. These designed compounds exhibited potent activity than the most active compound of the existing dataset.

Communicated by Ramaswamy H. Sarma     

Molecular dynamics simulation,binding free energy calculation and molecular docking of human D-amino acid oxidase (DAAO) with its inhibitors

Schizophrenia is a mental illness; most affected people live in developing countries, and neither appropriate treatment nor commercial drugs are currently available. One possibility is to inhibit human-d-amino acid oxidase (h-DAAO). In this study, molecular dynamic simulations of the monomer, dimer and tetramer forms of h-DAAO complexed with the inhibitor 3-hydroxyquinolin-2(1H)-one(2) were performed. Seven residues, Leu51, Gln53, Leu215, Tyr228, Ile230, Arg283 and Gly313, were identified as essential for interacting with the inhibitor. Molecular docking of h-DAAO with pyrrole, quinoline and kojic acid derivatives, representing 69 known or potential h-DAAO inhibitors, was also performed. The results indicated that the activity of the inhibitor can be improved by modifying the compounds to have a substituent group capable of interacting with the side chain of Tyr228. Van der Waals interactions of the inhibitor with the hydrophobic pocket of h-DAAO and electrostatic interactions or H-bonds with Arg283 and Gly313 were important elements in determining the efficiency of the inhibitor. These results provide information on the interaction between h-DAAO and its inhibitors at the molecular level and can aid in the design of novel inhibitors against h-DAAO for new drug development in the treatment of schizophrenia.     

Molecular dynamics analysis of the effects of GTP,GDP and benzimidazole derivative on structural dynamics of a cell division protein FtsZ from Mycobacterium tuberculosis

Abstract

The prevailing multi-drug resistance in Mycobacterium tuberculosis continues to remain one of the main challenges to combat tuberculosis. Hence, it becomes imperative to focus on novel drug targets. Filamenting temperature-sensitive mutant Z (FtsZ) is an essential cell division protein, a eukaryotic tubulin homologue and a promising drug target. During cytokinesis, FtsZ polymerises in the presence of GTP to form Z-ring and recruits other proteins at this site that eventually lead to the formation of daughter cells. Benzimidazoles were experimentally shown to inhibit Mtb-FtsZ, with one of the benzimidazole derivatives, M1, being reported to have the minimum inhibitory concentration (MIC) value of 3.13 µg/mL. In the present study, mechanism of destabilisation of FtsZ in the presence of M1 was computationally investigated in the presence of its substrate GTP/GDP employing molecular dynamics (MD) simulation analysis, principal component analysis (PCA), molecular mechanics combined with the generalised Born and surface area continuum salvation (MM-GBSA) and density functional theory (DFT). From the analyses, it is proposed that binding of M1 in the inter-domain cleft induces structural changes in the GTP-binding region that affect GTP binding, thus switching the preference of this protein towards depolymerised state and eventually inhibiting the cell division. Hence, this study provides mechanistic insights into the design of novel benzimidazole inhibitors against Mtb-FtsZ.

Communicated by Ramaswamy H. Sarma     

Molecular dynamics investigations of structural and functional changes in Bcl-2 induced by the novel antagonist BDA-366

Apoptosis is a fundamental biological phenomenon, in which anti- or proapoptotic proteins of the Bcl-2 family regulate a committed step. Overexpression of Bcl-2, the prototypical antiapoptotic protein in this family, is associated with therapy resistance in various human cancers. Accordingly, Bcl-2 inhibitors intended for cancer therapy have been developed, typically against the BH3 domain. Recent experimental evidences have shown that the antiapoptotic function of Bcl-2 is not immutable, and that BDA-366, a novel antagonist of the BH4 domain, converts Bcl-2 from a survival molecule to an inducer of cell death. In this study, the underlying mechanisms of this functional conversion were investigated by accelerated molecular dynamics simulation. Results revealed that Pro127 and Trp30 in the BH4 domain rotate to stabilize BDA-366 via π-π interactions, and trigger a series of significant conformational changes of the α3 helix. This rearrangement blocks the hydrophobic binding site (HBS) in the BH3 domain and further prevents binding of BH3-only proteins, which consequently allows the BH3-only proteins to activate the proapoptotic proteins. Analysis of binding free energy confirmed that BDA-366 cross-inhibits BH3-only proteins, implying negative cooperative effects across separate binding sites. The newly identified blocked conformation of the HBS along with the open to closed transition pathway revealed by this study advances the understanding of the Bcl-2 transition from antiapoptotic to proapoptotic function, and yielded new structural insights for novel drug design against the BH4 domain.

Communicated by Ramaswamy H. Sarma     

Study on the binding mode of a pyrrolotriazin derivative with JAK2 by docking and MD simulation

The pyrrolotriazin derivative 2-(4-(4-((7-(3-(N-methylmethylsulfonamido)phenyl)pyrrolo [2,1-f][1,2,4]triazin-2-yl)amino)phenyl)piperidin-1-yl)acetamide (PPA) is a potential Janus kinase 2 (JAK2) inhibitor. The binding mode between PPA and JAK2 was investigated by using a combined method of docking, molecular dynamics (MD) simulation and binding free-energy calculation. The docking calculations preliminarily indicated that there were two possible binding modes 1 and 2; MD simulations and binding free-energy calculations identified that binding mode 1 was more stable and favourable, with the lower MM-PBSA binding free energy of ?34.00?±?0.17?kcal/mol. Moreover, some valuable binding information is revealed as follows: the inhibitor PPA is suitably located at the ATP-binding site of JAK2 and the hydrophobic interaction plays an essential role. PPA not only interacts with residues Leu855, Val863, Ala880, Tyr931, Leu932 and Leu983 via hydrophobic interaction but also interacts with Ser936 and Asp994 by hydrogen bonds. These two factors are advantageous for PPA to strongly bind to JAK2. These results help to understand the action mechanisms and designing new compounds with a higher affinity to JAK2.     

Evaluating the suitability of RNA intervention mechanism exerted by some flavonoid molecules against dengue virus MTase RNA capping site: a molecular docking,molecular dynamics simulation,and binding free energy study

Abstract

Dengue virus (DENV) is one of the most dangerous mosquito-borne human pathogens known to the mankind. Currently, no vaccines or standard therapy is avaliable to treate DENV infection. This makes the drug development against DENV more significant and challenging. The MTase domain of DENV RNA RdRp NS5 is a promising drug target, because this domain hosts the RNA capping process of DENV RNA to escape from human immune system. In the present study, we have analysed the RNA intervention mechanism exerted by flavoniod molecules against NS5 MTase RNA capping site by using molecular docking, molecular dynamics simulation and the binding free energy calculations. The results from the docking analysis confirmed that the RNA intervention mecanism is exerted by the quercetagetin (QGN) molecule with all necessary intermolecular interactions and high binding affinity. Notably, QGN forms strong hydrogen bonding interactions with Asn18, Leu20 and Ser150 residues and π???π stacking interaction with Phe25 residue. The apo and QGN bound NS5 MTase and QGN-NS5 MTase complex were used for MD simulation. The results of MD simulation reveal that the RMSD and RMSF values of QGN-MTase complex have increased on comparing the apo protein due to the effect of ligand binding. The binding free energy calulation includes prediction of total binding free energy of ligand-protein complex and per-residue free energy decomposition. The QGN binding to NS5 MTase affects it’s native motion, this result is found from Principal component analysis.

Communicated by Ramaswamy H. Sarma     

Insights into protein-protein binding by binding free energy calculation and free energy decomposition for the Ras-Raf and Ras-RalGDS complexes

Absolute binding free energy calculations and free energy decompositions are presented for the protein-protein complexes H-Ras/C-Raf1 and H-Ras/RalGDS. Ras is a central switch in the regulation of cell proliferation and differentiation. In our study, we investigate the capability of the molecular mechanics (MM)-generalized Born surface area (GBSA) approach to estimate absolute binding free energies for the protein-protein complexes. Averaging gas-phase energies, solvation free energies, and entropic contributions over snapshots extracted from trajectories of the unbound proteins and the complexes, calculated binding free energies (Ras-Raf: -15.0(+/-6.3)kcal mol(-1); Ras-RalGDS: -19.5(+/-5.9)kcal mol(-1)) are in fair agreement with experimentally determined values (-9.6 kcal mol(-1); -8.4 kcal mol(-1)), if appropriate ionic strength is taken into account. Structural determinants of the binding affinity of Ras-Raf and Ras-RalGDS are identified by means of free energy decomposition. For the first time, computationally inexpensive generalized Born (GB) calculations are applied in this context to partition solvation free energies along with gas-phase energies between residues of both binding partners. For selected residues, in addition, entropic contributions are estimated by classical statistical mechanics. Comparison of the decomposition results with experimentally determined binding free energy differences for alanine mutants of interface residues yielded correlations with r(2)=0.55 and 0.46 for Ras-Raf and Ras-RalGDS, respectively. Extension of the decomposition reveals residues as far apart as 25A from the binding epitope that can contribute significantly to binding free energy. These "hotspots" are found to show large atomic fluctuations in the unbound proteins, indicating that they reside in structurally less stable regions. Furthermore, hotspot residues experience a significantly larger-than-average decrease in local fluctuations upon complex formation. Finally, by calculating a pair-wise decomposition of interactions, interaction pathways originating in the binding epitope of Raf are found that protrude through the protein structure towards the loop L1. This explains the finding of a conformational change in this region upon complex formation with Ras, and it may trigger a larger structural change in Raf, which is considered to be necessary for activation of the effector by Ras.     

Effective prediction model and determination of binding residues influential for inhibitors targeting HIV-1 integrase-LEDGF/p75 interface by employing solvent accessible surface area energy as key determinant

Abstract

Development of a highly accurate prediction model for protein–ligand inhibition has been a major challenge in drug discovery. Herein, we describe a novel predictive model for the inhibition of HIV-1 integrase (IN)-LEDGF/p75 protein-protein interaction. The model was constructed using energy parameters approximated from molecular dynamics (MD) simulations and molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) calculations. Chemometric analysis using partial least squares (PLS) regression revealed that solvent accessible surface area energy (ΔG_SASA) is the major determinant parameter contributing greatly to the prediction accuracy. PLS prediction model on the ΔG_SASA values collected from 41 complexes yielded a strong correlation between the predicted and the actual inhibitory activities (R² = 0.9666, RMSEC of pIC₅₀ values = 0.0890). Additionally, for the test set of 14 complexes, the model performed satisfactorily with very low pIC₅₀ errors (Q² = 0.5168, RMSEP = 0.3325). A strong correlation between the buried surface areas on the IN protein, when bound with IN-LEDGF/p75 inhibitors, and the respective ΔG_SASA values was also obtained. Furthermore, the current method could identify ‘hot spots’of amino acid residues highly influential to the inhibitory activity prediction. This could present fruitful implications in binding site determination and future inhibitor developments targeting protein-protein interactions.

Communicated by Ramaswamy H. Sarma     

Flavonoids as potent allosteric inhibitors of protein tyrosine phosphatase 1B: molecular dynamics simulation and free energy calculation

Protein tyrosine phosphatase 1B (PTP1B) is a member of the PTP superfamily which is considered to be a negative regulator of insulin receptor (IR) signaling pathway. PTP1B is a promising drug target for the treatment of type 2 diabetes, obesity, and cancer. The existence of allosteric site in PTP1B has turned the researcher’s attention to an alternate strategy for inhibition of this enzyme. Herein, the molecular interactions between the allosteric site of PTP1B with three non-competitive flavonoids, (MOR), (MOK), and (DPO) have been investigated. Three ligands were docked into allosteric site of the enzyme. The resulting protein–ligand complexes were used for molecular dynamics studies. Principal component and free-energy landscape (FEL) as well as cluster analyses were used to investigate the conformational and dynamical properties of the protein and identify representative enzyme substrates bounded to the inhibitors. Per residue energy decomposition analysis attributed dissimilar affinities of three inhibitors to the several hydrogen bonds and non-bonded interactions. In conclusion, our results exhibited an inhibitory pattern of the ligands against PTP1B.     

Virtual screening,molecular dynamics,and binding free energy calculations on human carbonic anhydrase IX catalytic domain for deciphering potential leads

Carbonic anhydrase IX is a tumor-associated membrane-bound metallo-enzyme which catalyzes the reversible hydration of carbon dioxide (CO₂) to bicarbonate (HCO₃^?) and proton (H⁺) ions. It is a hypoxia-inducible enzyme and plays a critical role in tumor pH homeostasis favoring tumor cell invasiveness and drug resistance. Over expression of CAIX is documented in cancers of breast, lung, kidney, colon/rectum, etc. Chemical inhibition of CAIX activity has proven to be an effective therapeutic modality towards targeting cancer. Hence, in this study, we intend to identify potential molecules from NCI (National Cancer Institute) and Maybridge databases implementing high-throughput virtual screening. CAIX co-crystallized with acetazolamide (a known inhibitor of CAIX) (PDB ID: 3IAI) was used for reference-guided docking protocol. The potential inhibitors among the coupled data sets were finalized based on Glide docking score, Prime/MMGBSA scoring, significant intermolecular interactions, ADMET (absorption, distribution, metabolism and excretion, toxicity) prediction and stability of complex formation, molecular dynamics simulation, and comparative analysis. By this study, we propose NSC_93618, NSC_170253, NSC_93618, JFD03677, SEW06488, and BTB09372 to be highly significant, as all these compounds were found to qualify as potential leads surpassing all the stringent filtering process. However, NSC_93618 was found to be the most potential, as it featured with higher complex stability with strong bonded interactions, binding affinity synonymous to acetazolamide. Hence, these proposed compounds shall prove to be effective in targeting CAIX towards modulating carcinogenesis.