Recent Developments and Applications of the MMPBSA Method

The Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) approach has been widely applied as an efficient and reliable free energy simulation method to model molecular recognition, such as for protein-ligand binding interactions. In this review, we focus on recent developments and applications of the MMPBSA method. The methodology review covers solvation terms, the entropy term, extensions to membrane proteins and high-speed screening, and new automation toolkits. Recent applications in various important biomedical and chemical fields are also reviewed. We conclude with a few future directions aimed at making MMPBSA a more robust and efficient method.

[1]  Jing Wei,et al.  Molecular dynamics study on drug resistance mechanism of HCV NS3/4A protease inhibitor: BI201335 , 2015 .

[2]  Huanxiang Liu,et al.  Computational Study on the Inhibitor Binding Mode and Allosteric Regulation Mechanism in Hepatitis C Virus NS3/4A Protein , 2014, PloS one.

[3]  Ray Luo,et al.  Quantitative analysis of Poisson-Boltzmann implicit solvent in molecular dynamics. , 2010, Physical chemistry chemical physics : PCCP.

[4]  Holger Gohlke,et al.  Interpreting Thermodynamic Profiles of Aminoadamantane Compounds Inhibiting the M2 Proton Channel of Influenza A by Free Energy Calculations , 2016, J. Chem. Inf. Model..

[5]  A. Masunov,et al.  Atomistic mechanism of polyphenol amyloid aggregation inhibitors: molecular dynamics study of Curcumin, Exifone, and Myricetin interaction with the segment of tau peptide oligomer , 2015, Journal of biomolecular structure & dynamics.

[6]  Ju-Guang Han,et al.  Investigation on the mechanism for the binding and drug resistance of wild type and mutations of G86 residue in HIV-1 protease complexed with Darunavir by molecular dynamic simulation and free energy calculation , 2014, Journal of Molecular Modeling.

[7]  Y. Yao,et al.  Computational determination of binding structures and free energies of glucose 6-phosphate dehydrogenase with novel steroid inhibitors. , 2014, Journal of molecular graphics & modelling.

[8]  Graca Raposo,et al.  Correction for Wagoner and Baker, Assessing implicit models for nonpolar mean solvation forces: The importance of dispersion and volume terms , 2007, Proceedings of the National Academy of Sciences.

[9]  M. Izadyar,et al.  Theoretical design of the cyclic lipopeptide nanotube as a molecular channel in the lipid bilayer, molecular dynamics and quantum mechanics approach. , 2015, Physical chemistry chemical physics : PCCP.

[10]  Cunxin Wang,et al.  Structure–activity relationship and binding mode studies for a series of diketo-acids as HIV integrase inhibitors by 3D-QSAR, molecular docking and molecular dynamics simulations , 2016 .

[11]  R. Vianello,et al.  What a Difference a Methyl Group Makes: The Selectivity of Monoamine Oxidase B Towards Histamine and N-Methylhistamine. , 2017, Chemistry.

[12]  Guangfu Yang,et al.  Ametoctradin is a potent Qo site inhibitor of the mitochondrial respiration complex III. , 2015, Journal of agricultural and food chemistry.

[13]  Ray Luo,et al.  Calculating protein–ligand binding affinities with MMPBSA: Method and error analysis , 2016, J. Comput. Chem..

[14]  Ray Luo,et al.  Accelerated Poisson–Boltzmann calculations for static and dynamic systems , 2002, J. Comput. Chem..

[15]  T. Cheatham,et al.  DNA Binding Dynamics and Energetics of Cobalt, Nickel, and Copper Metallopeptides , 2014, ChemMedChem.

[16]  Lei Zhang,et al.  Novel binding patterns between ganoderic acids and neuraminidase: Insights from docking, molecular dynamics and MM/PBSA studies. , 2016, Journal of molecular graphics & modelling.

[17]  Andrew Williams,et al.  Experimental and theoretical study of the mechanism of hydrolysis of substituted phenyl hexanoates catalysed by globin in the presence of surfactant , 2014, Journal of Molecular Modeling.

[18]  John Z. H. Zhang,et al.  Interaction Entropy: A New Paradigm for Highly Efficient and Reliable Computation of Protein-Ligand Binding Free Energy. , 2016, Journal of the American Chemical Society.

[19]  S. Genheden,et al.  The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities , 2015, Expert opinion on drug discovery.

[20]  S. S. Azam,et al.  Binding free energy based analysis of arsenic (+ 3 oxidation state) methyltransferase with S-adenosylmethionine , 2016 .

[21]  C. Laughton,et al.  Investigating the binding preferences of small molecule inhibitors of human protein arginine methyltransferase 1 using molecular modelling. , 2014, Journal of molecular graphics & modelling.

[22]  S. Tongsima,et al.  Molecular Dynamics of Interactions between Rigid and Flexible Antifolates and Dihydrofolate Reductase from Pyrimethamine‐Sensitive and Pyrimethamine‐Resistant Plasmodium falciparum , 2014, Chemical biology & drug design.

[23]  Ray Luo,et al.  Interplay of secondary structures and side-chain contacts in the denatured state of BBA1. , 2004, The Journal of chemical physics.

[24]  Elucidation of the binding mechanism of renin using a wide array of computational techniques and biological assays. , 2015, Journal of molecular graphics & modelling.

[25]  E. Alexov,et al.  SAAMBE: Webserver to Predict the Charge of Binding Free Energy Caused by Amino Acids Mutations , 2016, International journal of molecular sciences.

[26]  Benoît Roux,et al.  Computations of Absolute Solvation Free Energies of Small Molecules Using Explicit and Implicit Solvent Model. , 2009, Journal of chemical theory and computation.

[27]  Guangfa Wang,et al.  Molecular dynamics simulation and free energy calculation studies of kinase inhibitors binding to active and inactive conformations of VEGFR-2. , 2015, Journal of molecular graphics & modelling.

[28]  S. Siu,et al.  Comparison of three molecular simulation approaches for cyclodextrin-ibuprofen complexation , 2015 .

[29]  H. Tavakol,et al.  Molecular dynamics study of biodegradation of azo dyes via their interactions with AzrC azoreductase , 2016, Journal of biomolecular structure & dynamics.

[30]  V. Subramanian,et al.  Structure-based virtual screening of novel, high-affinity BRD4 inhibitors. , 2014, Molecular bioSystems.

[31]  Wei Xu,et al.  Structural insights into ligand binding of PGRP1 splice variants in Chinese giant salamander (Andrias davidianus) from molecular dynamics and free energy calculations , 2017, Journal of Molecular Modeling.

[32]  Michael K Gilson,et al.  New ultrahigh affinity host-guest complexes of cucurbit[7]uril with bicyclo[2.2.2]octane and adamantane guests: thermodynamic analysis and evaluation of M2 affinity calculations. , 2011, Journal of the American Chemical Society.

[33]  Nopporn Kaiyawet,et al.  Molecular Dynamics Simulation Reveals the Selective Binding of Human Leukocyte Antigen Alleles Associated with Behçet's Disease , 2015, PloS one.

[34]  Yaming Shan,et al.  Structural and molecular basis of cellulase Cel48F by computational modeling: Insight into catalytic and product release mechanism. , 2016, Journal of structural biology.

[35]  Anna Tempczyk,et al.  Electrostatic contributions to solvation energies: comparison of free energy perturbation and continuum calculations , 1991 .

[36]  M. Wei,et al.  Inhibitory mechanism of peptides with a repeating hydrophobic and hydrophilic residue pattern on interleukin-10 , 2016, Human vaccines & immunotherapeutics.

[37]  Yan Li,et al.  Profiling the interaction mechanism of indole-based derivatives targeting the HIV-1 gp120 receptor , 2015 .

[38]  M. Gilson,et al.  Calculation of cyclodextrin binding affinities: energy, entropy, and implications for drug design. , 2004, Biophysical journal.

[39]  Yan Sun,et al.  Biomimetic design of affinity peptide ligand for capsomere of virus-like particle. , 2014, Langmuir : the ACS journal of surfaces and colloids.

[40]  Jianzhong Chen,et al.  Clarifying binding difference of ATP and ADP to extracellular signal‐regulated kinase 2 by using molecular dynamics simulations , 2017, Chemical biology & drug design.

[41]  Michael K. Gilson,et al.  Dielectric Screening Treatment of Electrostatic Solvation , 1997 .

[42]  K. Dubey,et al.  Targeting domain-III hinging of dengue envelope (DENV-2) protein by MD simulations, docking and free energy calculations , 2017, Journal of Molecular Modeling.

[43]  Jesús Ortiz,et al.  GPU linear and non-linear Poisson-Boltzmann solver module for DelPhi , 2014, Bioinform..

[44]  Ray Luo,et al.  Acceleration of Linear Finite-Difference Poisson-Boltzmann Methods on Graphics Processing Units. , 2017, Journal of chemical theory and computation.

[45]  P. Aparoy,et al.  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 , 2017, Journal of biomolecular structure & dynamics.

[46]  A. Chang,et al.  Virtual screening of potential inhibitors from TCM for the CPSF30 binding site on the NS1A protein of influenza A virus , 2014, Journal of Molecular Modeling.

[47]  Stephen Neidle,et al.  Can We Execute Reliable MM-PBSA Free Energy Computations of Relative Stabilities of Different Guanine Quadruplex Folds? , 2016, The journal of physical chemistry. B.

[48]  Ray Luo,et al.  On-the-fly Numerical Surface Integration for Finite-Difference Poisson-Boltzmann Methods. , 2011, Journal of chemical theory and computation.

[49]  M. Grøtli,et al.  Characterization of interactions and pharmacophore development for DFG-out inhibitors to RET tyrosine kinase , 2015, Journal of Molecular Modeling.

[50]  Siwei Bi,et al.  Identification of the active site of human mitochondrial malonyl‐coenzyme a decarboxylase: A combined computational study , 2016, Proteins.

[51]  Niel M. Henriksen,et al.  Structural and Energetic Analysis of 2-Aminobenzimidazole Inhibitors in Complex with the Hepatitis C Virus IRES RNA Using Molecular Dynamics Simulations , 2014, J. Chem. Inf. Model..

[52]  B. Honig,et al.  Classical electrostatics in biology and chemistry. , 1995, Science.

[53]  J. Schofield,et al.  Molecular dynamics simulation and free energy analysis of the interaction of platinum-based anti-cancer drugs with DNA , 2016 .

[54]  S. Borkotoky,et al.  Interaction Analysis of T7 RNA Polymerase with Heparin and Its Low Molecular Weight Derivatives – An In Silico Approach , 2016, Bioinformatics and biology insights.

[55]  Anthony K. Felts,et al.  On the nonpolar hydration free energy of proteins: surface area and continuum solvent models for the solute-solvent interaction energy. , 2003, Journal of the American Chemical Society.

[56]  Xiang Li,et al.  Statistical analysis of EGFR structures’ performance in virtual screening , 2015, Journal of Computer-Aided Molecular Design.

[57]  U. Hansmann,et al.  Binding of ACE-inhibitors to in vitro and patient-derived amyloid-β fibril models. , 2016, The Journal of chemical physics.

[58]  Charles H. Bennett,et al.  Efficient estimation of free energy differences from Monte Carlo data , 1976 .

[59]  Yan Sun,et al.  Biomimetic design of platelet adhesion inhibitors to block integrin α2β1-collagen interactions: I. Construction of an affinity binding model. , 2014, Langmuir : the ACS journal of surfaces and colloids.

[60]  A. Sangamwar,et al.  Molecular dynamics simulation studies for DNA sequence recognition by reactive metabolites of anticancer compounds , 2014, Journal of molecular recognition : JMR.

[61]  Kun Qian,et al.  Diamidine Compounds for Selective Inhibition of Protein Arginine Methyltransferase 1 , 2014, Journal of medicinal chemistry.

[62]  M. Cascante,et al.  Design of an interface peptide as new inhibitor of human glucose-6-phosphate dehydrogenase. , 2014, Journal of molecular graphics & modelling.

[63]  Khaleel I. Assaf,et al.  Molecular dynamics simulation of a cucurbituril based molecular switch triggered by pH changes , 2015 .

[64]  S. Othman,et al.  Exploration of Residue Binding Energy of Potential Ankyrin for Dengue Virus II from MD Simulations , 2015 .

[65]  Youyong Li,et al.  Exploring the prominent performance of CX-4945 derivatives as protein kinase CK2 inhibitors by a combined computational study. , 2014, Molecular bioSystems.

[66]  Guangju Chen,et al.  Interaction of Classical Platinum Agents with the Monomeric and Dimeric Atox1 Proteins: A Molecular Dynamics Simulation Study , 2013, International journal of molecular sciences.

[67]  Chang-Guo Zhan,et al.  Binding free energies for nicotine analogs inhibiting cytochrome P450 2A6 by a combined use of molecular dynamics simulations and QM/MM-PBSA calculations. , 2014, Bioorganic & medicinal chemistry.

[68]  E. Galembeck,et al.  SUR1 Receptor Interaction with Hesperidin and Linarin Predicts Possible Mechanisms of Action of Valeriana officinalis in Parkinson , 2016, Front. Aging Neurosci..

[69]  S. Sinha,et al.  Mechanistic Insights into the Binding of Class IIa HDAC Inhibitors toward Spinocerebellar Ataxia Type-2: A 3D-QSAR and Pharmacophore Modeling Approach , 2017, Front. Neurosci..

[70]  P. Kollman,et al.  Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models. , 2000, Accounts of chemical research.

[71]  Ray Luo,et al.  Implicit nonpolar solvent models. , 2007, The journal of physical chemistry. B.

[72]  Muhammad Arba,et al.  The binding modes of cationic porphyrin-anthraquinone hybrids to DNA duplexes: in silico study , 2015, Journal of biomolecular structure & dynamics.

[73]  Shan Chang,et al.  Exploring the molecular basis of RNA recognition by the dimeric RNA-binding protein via molecular simulation methods , 2016, RNA biology.

[74]  Holger Gohlke,et al.  MMPBSA.py: An Efficient Program for End-State Free Energy Calculations. , 2012, Journal of chemical theory and computation.

[75]  Bikash R. Sahoo,et al.  Exploration of the binding modes of buffalo PGRP1 receptor complexed with meso-diaminopimelic acid and lysine-type peptidoglycans by molecular dynamics simulation and free energy calculation. , 2014, Chemico-biological interactions.

[76]  Ray Luo,et al.  On removal of charge singularity in Poisson-Boltzmann equation. , 2009, The Journal of chemical physics.

[77]  Chunmei Liu,et al.  Theoretical studies on binding modes of copper-based nucleases with DNA. , 2016, Journal of molecular graphics & modelling.

[78]  M K Gilson,et al.  Theory of electrostatic interactions in macromolecules. , 1995, Current opinion in structural biology.

[79]  Antje Wolf,et al.  Structure–activity relationships of thiostrepton derivatives: implications for rational drug design , 2014, Journal of Computer-Aided Molecular Design.

[80]  Yanzhi Guo,et al.  Probing Immobilization Mechanism of alpha-chymotrypsin onto Carbon Nanotube in Organic Media by Molecular Dynamics Simulation , 2015, Scientific Reports.

[81]  M. Karplus,et al.  pKa's of ionizable groups in proteins: atomic detail from a continuum electrostatic model. , 1990, Biochemistry.

[82]  P. Kollman,et al.  Continuum Solvent Studies of the Stability of DNA, RNA, and Phosphoramidate−DNA Helices , 1998 .

[83]  N. Pirinccioglu,et al.  Enantiomeric discrimination of chiral organic salts by chiral aza-15-crown-5 ether with C1 symmetry: experimental and theoretical approaches , 2015, Journal of Molecular Modeling.

[84]  Hui Li,et al.  Computational and Experimental Insight into the Molecular Mechanism of Carboxamide Inhibitors of Succinate‐Ubquinone Oxidoreductase , 2014, ChemMedChem.

[85]  A. Panchenko,et al.  Predicting the Impact of Missense Mutations on Protein–Protein Binding Affinity , 2014, Journal of chemical theory and computation.

[86]  U. Leartsakulpanich,et al.  Rational design of InhA inhibitors in the class of diphenyl ether derivatives as potential anti-tubercular agents using molecular dynamics simulations , 2014, SAR and QSAR in environmental research.

[87]  K. Thirumurugan,et al.  Evidence that Chemical Chaperone 4-Phenylbutyric Acid Binds to Human Serum Albumin at Fatty Acid Binding Sites , 2015, PloS one.

[88]  Thanyada Rungrotmongkol,et al.  Role of R292K mutation in influenza H7N9 neuraminidase toward oseltamivir susceptibility: MD and MM/PB(GB)SA study , 2016, Journal of Computer-Aided Molecular Design.

[89]  Yanli Wang,et al.  Evaluation and Application of MD-PB/SA in Structure-Based Hierarchical Virtual Screening , 2014, J. Chem. Inf. Model..

[90]  Sagar D Khare,et al.  Large‐scale Structure‐based Prediction and Identification of Novel Protease Substrates using Computational Protein Design , 2016, Journal of molecular biology.

[91]  Holger Gohlke,et al.  Extension of the free energy workflow FEW towards implicit solvent/implicit membrane MM-PBSA calculations. , 2015, Biochimica et biophysica acta.

[92]  R. Stote,et al.  Molecular dynamics for computational proteomics of methylated histone H3. , 2015, Biochimica et biophysica acta.

[93]  Ray Luo,et al.  Assessment of linear finite‐difference Poisson–Boltzmann solvers , 2010, J. Comput. Chem..

[94]  Ray Luo,et al.  Performance of Nonlinear Finite-Difference Poisson-Boltzmann Solvers. , 2010, Journal of chemical theory and computation.

[95]  H. Rafii-Tabar,et al.  Investigation into mechanism of orotidine 5′-monophosphate decarboxylase enzyme by MM-PBSA/MM-GBSA and molecular docking , 2014 .

[96]  Alexander Rohe,et al.  Application of Docking and QM/MM-GBSA Rescoring to Screen for Novel Myt1 Kinase Inhibitors , 2014, J. Chem. Inf. Model..

[97]  Yong-Liang Zhu,et al.  Including Explicit Water Molecules as Part of the Protein Structure in MM/PBSA Calculations , 2014, J. Chem. Inf. Model..

[98]  Wesley M. Botello-Smith,et al.  Modeling Membrane Protein-Ligand Binding Interactions: The Human Purinergic Platelet Receptor. , 2016, The journal of physical chemistry. B.

[99]  Yongqin Wei,et al.  Evaluation of interactions between urokinase plasminogen and inhibitors using molecular dynamic simulation and free-energy calculation. , 2014, The journal of physical chemistry. A.

[100]  P. Fernandes,et al.  Glutamine Synthetase Drugability beyond Its Active Site: Exploring Oligomerization Interfaces and Pockets , 2016, Molecules.

[101]  E. Kaler,et al.  A “Universal” Surface Area Correlation for Molecular Hydrophobic Phenomena , 1999 .

[102]  Qing-Chuan Zheng,et al.  Exploring the mechanism how AF9 recognizes and binds H3K9ac by molecular dynamics simulations and free energy calculations , 2016, Biopolymers.

[103]  E. Coutinho,et al.  A Computational Model for Docking of Noncompetitive Neuraminidase Inhibitors and Probing their Binding Interactions with Neuraminidase of Influenza Virus H5N1. , 2016, Current computer-aided drug design.

[104]  Yaming Shan,et al.  Insight into the interactive residues between two domains of human somatic Angiotensin-converting enzyme and Angiotensin II by MM-PBSA calculation and steered molecular dynamics simulation , 2016, Journal of biomolecular structure & dynamics.

[105]  I. V. Fedorova,et al.  Computer simulation study of the intermolecular structure of phosphoric acid–N,N-dimethylformamide mixtures , 2015, Journal of Molecular Modeling.

[106]  V. Jain,et al.  Origins of the specificity of inhibitor P218 toward wild-type and mutant PfDHFR: a molecular dynamics analysis , 2015, Journal of biomolecular structure & dynamics.

[107]  Hui Liu,et al.  CaFE: a tool for binding affinity prediction using end-point free energy methods , 2016, Bioinform..

[108]  Dexuan Xie,et al.  New solution decomposition and minimization schemes for Poisson-Boltzmann equation in calculation of biomolecular electrostatics , 2014, J. Comput. Phys..

[109]  T. Mavromoustakos,et al.  Systematic molecular dynamics, MM-PBSA, and ab initio approaches to the saquinavir resistance mechanism in HIV-1 PR due to 11 double and multiple mutations. , 2014, The journal of physical chemistry. B.

[110]  Yixuan Wang,et al.  Exploring the drug resistance of V32I and M46L mutant HIV-1 protease to inhibitor TMC114: flap dynamics and binding mechanism. , 2015, Journal of molecular graphics & modelling.

[111]  Ray Luo,et al.  Applications of MMPBSA to Membrane Proteins I: Efficient Numerical Solutions of Periodic Poisson-Boltzmann Equation , 2015, J. Chem. Inf. Model..

[112]  S. Shchelkunov,et al.  Exploring Interaction of TNF and Orthopoxviral CrmB Protein by Surface Plasmon Resonance and Free Energy Calculation , 2014, Protein and peptide letters.

[113]  Xiao-Lei Zhu,et al.  Discovery of N-benzoxazol-5-yl-pyrazole-4-carboxamides as nanomolar SQR inhibitors. , 2015, European journal of medicinal chemistry.

[114]  Ray Luo,et al.  How well does Poisson-Boltzmann implicit solvent agree with explicit solvent? A quantitative analysis. , 2006, The journal of physical chemistry. B.

[115]  Wolfgang Sippl,et al.  Virtual Screening of PRK1 Inhibitors: Ensemble Docking, Rescoring Using Binding Free Energy Calculation and QSAR Model Development , 2014, J. Chem. Inf. Model..

[116]  Yi Jiang,et al.  A nonlocal modified Poisson-Boltzmann equation and finite element solver for computing electrostatics of biomolecules , 2016, J. Comput. Phys..

[117]  R. Luo,et al.  Reducing grid-dependence in finite-difference Poisson-Boltzmann calculations. , 2012, Journal of chemical theory and computation.

[118]  Bikash R. Sahoo,et al.  Structural and dynamic investigation of bovine folate receptor alpha (FOLR1), and role of ultra-high temperature processing on conformational and thermodynamic characteristics of FOLR1-folate complex. , 2014, Colloids and surfaces. B, Biointerfaces.

[119]  Ju-Guang Han,et al.  Molecular dynamics study of segment peptides of Bax, Bim, and Mcl-1 BH3 domain of the apoptosis-regulating proteins bound to the anti-apoptotic Mcl-1 protein , 2015, Journal of biomolecular structure & dynamics.

[120]  Holger Gohlke,et al.  Converging free energy estimates: MM‐PB(GB)SA studies on the protein–protein complex Ras–Raf , 2004, J. Comput. Chem..

[121]  George Drettakis,et al.  A Feasibility Study with Image-Based Rendered Virtual Reality in Patients with Mild Cognitive Impairment and Dementia , 2016, PloS one.

[122]  Ronald M. Levy,et al.  AGBNP: An analytic implicit solvent model suitable for molecular dynamics simulations and high‐resolution modeling , 2004, J. Comput. Chem..

[123]  Jihua Wang,et al.  Ligand Selectivity Mechanism and Conformational Changes in Guanine Riboswitch by Molecular Dynamics Simulations and Free Energy Calculations , 2017, J. Chem. Inf. Model..

[124]  Xia Wang,et al.  Insight into the binding mode and the structural features of the pyrimidine derivatives as human A2A adenosine receptor antagonists , 2014, Biosyst..

[125]  Bikash R. Sahoo,et al.  Molecular recognition of avirulence protein (avrxa5) by eukaryotic transcription factor xa5 of rice (Oryza sativa L.): insights from molecular dynamics simulations. , 2015, Journal of molecular graphics & modelling.

[126]  Guangju Chen,et al.  Structures and energies of the transition between two conformations of the alternate frame folding calbindin-D9k protein: a theoretical study , 2015 .

[127]  Yue Liu,et al.  Docking and molecular dynamics studies on triclosan derivatives binding to FabI , 2017, Journal of Molecular Modeling.

[128]  Yeng-Tseng Wang,et al.  Insights from QM/MM Modeling the 3D Structure of the 2009 H1N1 Influenza A Virus Neuraminidase and Its Binding Interactions with Antiviral Drugs , 2014, Molecular informatics.

[129]  Richard A. Friesner,et al.  Solvation Free Energies of Peptides: Comparison of Approximate Continuum Solvation Models with Accurate Solution of the Poisson−Boltzmann Equation , 1997 .

[130]  H. Joshi,et al.  Molecular modeling reveals binding interface of γ‐tubulin with GCP4 and interactions with noscapinoids , 2015, Proteins.

[131]  Olive Lloyd-Baker IDENTIFICATION OF NOVEL , 1964 .

[132]  P. Bharatam,et al.  Molecular dynamics simulation studies of GSK-3β ATP competitive inhibitors: understanding the factors contributing to selectivity , 2015, Journal of biomolecular structure & dynamics.

[133]  J. Åqvist,et al.  The linear interaction energy method for predicting ligand binding free energies. , 2001, Combinatorial chemistry & high throughput screening.

[134]  Jihua Wang,et al.  Computational Studies of a Mechanism for Binding and Drug Resistance in the Wild Type and Four Mutations of HIV-1 Protease with a GRL-0519 Inhibitor , 2016, International journal of molecular sciences.

[135]  Ray Luo,et al.  A Poisson–Boltzmann dynamics method with nonperiodic boundary condition , 2003 .

[136]  Pradeep K. Naik,et al.  Molecular insight of isotypes specific β-tubulin interaction of tubulin heterodimer with noscapinoids , 2014, Journal of Computer-Aided Molecular Design.

[137]  A. Nayek,et al.  Probing binding mechanism of interleukin-6 and olokizumab: in silico design of potential lead antibodies for autoimmune and inflammatory diseases , 2016, Journal of receptor and signal transduction research.

[138]  K. Anbarasu,et al.  Designing and optimization of novel human LMTK3 inhibitors against breast cancer – a computational approach , 2017, Journal of receptor and signal transduction research.

[139]  C. Doss,et al.  Gliptins in managing diabetes - Reviewing computational strategy. , 2016, Life sciences.

[140]  S. Weerasinghe,et al.  An In Silico Approach of Coumarin-Derived Inhibitors for Human DNA Topoisomerase I , 2016 .

[141]  C. Supuran,et al.  Discovery of HIV Type 1 Aspartic Protease Hit Compounds through Combined Computational Approaches , 2016, ChemMedChem.

[142]  J A McCammon,et al.  Coupling nonpolar and polar solvation free energies in implicit solvent models. , 2006, The Journal of chemical physics.

[143]  Juan Du,et al.  Computational Study of the Binding Mechanism of Actin-Depolymerizing Factor 1 with Actin in Arabidopsis thaliana , 2016, PloS one.

[144]  Pedro J. Silva,et al.  Computational development of rubromycin-based lead compounds for HIV-1 reverse transcriptase inhibition , 2014, PeerJ.

[145]  Jian Yin,et al.  Blind prediction of SAMPL4 cucurbit[7]uril binding affinities with the mining minima method , 2014, Journal of Computer-Aided Molecular Design.

[146]  Xiaolei Zhu,et al.  Binding mechanism of CDK5 with roscovitine derivatives based on molecular dynamics simulations and MM/PBSA methods. , 2016, Journal of molecular graphics & modelling.

[147]  Bikash R. Sahoo,et al.  Understanding the distinguishable structural and functional features in zebrafish TLR3 and TLR22, and their binding modes with fish dsRNA viruses: an exploratory structural model analysis , 2014, Amino Acids.

[148]  Qingchuan Zheng,et al.  Insights into the effects of mutations on Cren7-DNA binding using molecular dynamics simulations and free energy calculations. , 2015, Physical chemistry chemical physics : PCCP.

[149]  Martin Zacharias,et al.  Continuum Solvent Modeling of Nonpolar Solvation: Improvement by Separating Surface Area Dependent Cavity and Dispersion Contributions , 2003 .

[150]  E. Alexov,et al.  Combining conformational flexibility and continuum electrostatics for calculating pK(a)s in proteins. , 2002, Biophysical journal.

[151]  S. Furini,et al.  Blocking the passage: C60 geometrically clogs K(+) channels. , 2015, ACS nano.

[152]  X. Yao,et al.  Structural and dynamic basis of acid amido synthetase GH3.1: an investigation of substrate selectivity and major active site access channels. , 2015, Molecular bioSystems.

[153]  Harold A. Scheraga,et al.  Free energies of hydration of solute molecules. 3. Application of the hydration shell model to charged organic molecules , 1987 .

[154]  Liqun He,et al.  Binding mode of chitin and TLR2 via molecular docking and dynamics simulation , 2016 .

[155]  Ray Luo,et al.  Achieving Energy Conservation in Poisson-Boltzmann Molecular Dynamics: Accuracy and Precision with Finite-Difference Algorithms. , 2009, Chemical physics letters.

[156]  Yang Zhao,et al.  Definition of the binding mode of phosphoinositide 3-kinase α-selective inhibitor A-66S through molecular dynamics simulation , 2014, Journal of Molecular Modeling.

[157]  A. Kovalenko,et al.  Calculation of binding free energy of short double stranded oligonucleotides using MM/3D-RISM-KH approach , 2015 .

[158]  X. Yao,et al.  Unveiling the molecular mechanism of brassinosteroids: Insights from structure-based molecular modeling studies , 2015, Steroids.

[159]  Qinggang Zhang,et al.  Revealing Origin of Decrease in Potency of Darunavir and Amprenavir against HIV-2 relative to HIV-1 Protease by Molecular Dynamics Simulations , 2014, Scientific Reports.

[160]  K. Zheng,et al.  Exploration of the binding mode between (−)-zampanolide and tubulin using docking and molecular dynamics simulation , 2014, Journal of Molecular Modeling.

[161]  Wei Yang,et al.  3D-QSAR, molecular docking and molecular dynamics studies of a series of RORγt inhibitors , 2015, Journal of biomolecular structure & dynamics.

[162]  K. Muthusamy,et al.  E-pharmacophore filtering and molecular dynamics simulation studies in the discovery of potent drug-like molecules for chronic kidney disease , 2016, Journal of biomolecular structure & dynamics.

[163]  S. Jalili,et al.  Molecular dynamics simulation of the sliding of distamycin anticancer drug along DNA: interactions and sequence selectivity , 2017, Journal of the Iranian Chemical Society.

[164]  Emilio Gallicchio,et al.  The non-polar solvent potential of mean force for the dimerization of alanine dipeptide: the role of solute-solvent van der Waals interactions. , 2004, Biophysical chemistry.

[165]  Clifford W. Fong,et al.  Binding energies of tyrosine kinase inhibitors: Error assessment of computational methods for imatinib and nilotinib binding , 2015, Comput. Biol. Chem..

[166]  Bikash R. Sahoo,et al.  Conformational states of HAMP domains interacting with sensory rhodopsin membrane systems: an integrated all-atom and coarse-grained molecular dynamics simulation approach. , 2016, Molecular bioSystems.

[167]  Qinggang Zhang,et al.  Effect of electrostatic polarization and bridging water on CDK2-ligand binding affinities calculated using a highly efficient interaction entropy method. , 2017, Physical chemistry chemical physics : PCCP.

[168]  W. Sippl,et al.  Binding of pyrazole-based inhibitors to Mycobacterium tuberculosis pantothenate synthetase: docking and MM-GB(PB)SA analysis. , 2014, Molecular bioSystems.

[169]  B. R. Steele,et al.  Biological and computational evaluation of resveratrol inhibitors against Alzheimer’s disease , 2016, Journal of enzyme inhibition and medicinal chemistry.

[170]  Li Xiao,et al.  Numerical interpretation of molecular surface field in dielectric modeling of solvation , 2017, J. Comput. Chem..

[171]  Przemysław Czeleń Molecular dynamics study on inhibition mechanism of CDK-2 and GSK-3β by CHEMBL272026 molecule , 2016, Structural Chemistry.

[172]  Ray Luo,et al.  Exploring accurate Poisson-Boltzmann methods for biomolecular simulations. , 2013, Computational & theoretical chemistry.

[173]  Ray Luo,et al.  Numerical Poisson-Boltzmann Model for Continuum Membrane Systems. , 2013, Chemical physics letters.

[174]  R. Levy,et al.  Enthalpy−Entropy and Cavity Decomposition of Alkane Hydration Free Energies: Numerical Results and Implications for Theories of Hydrophobic Solvation , 2000 .

[175]  Li Ping Cheng,et al.  Molecular modeling study of CP-690550 derivatives as JAK3 kinase inhibitors through combined 3D-QSAR, molecular docking, and dynamics simulation techniques. , 2017, Journal of molecular graphics & modelling.

[176]  D. Chandler,et al.  Effects of solute--solvent attractive forces on hydrophobic correlations , 1980 .

[177]  R. Zwanzig High‐Temperature Equation of State by a Perturbation Method. I. Nonpolar Gases , 1954 .

[178]  Pradeep Kumar Naik,et al.  Molecular insight into γ–γ tubulin lateral interactions within the γ-tubulin ring complex (γ-TuRC) , 2014, Journal of Computer-Aided Molecular Design.

[179]  T. Rungrotmongkol,et al.  Enhanced stability of a naringenin/2,6-dimethyl β-cyclodextrin inclusion complex: molecular dynamics and free energy calculations based on MM- and QM-PBSA/GBSA. , 2014, Journal of molecular graphics & modelling.

[180]  Vasanthanathan Poongavanam,et al.  Computational Analysis of Sterol Ligand Specificity of the Niemann Pick C2 Protein. , 2016, Biochemistry.

[181]  H. Tavakol,et al.  A molecular dynamics investigation on the interaction properties of AzrC and its cofactor , 2016, Journal of the Iranian Chemical Society.

[182]  C. George Priya Doss,et al.  Influence of V54M mutation in giant muscle protein titin: a computational screening and molecular dynamics approach , 2017, Journal of biomolecular structure & dynamics.

[183]  Qiang Xu,et al.  Systematic study of imidazoles inhibiting IDO1 via the integration of molecular mechanics and quantum mechanics calculations. , 2017, European journal of medicinal chemistry.

[184]  Xiao Liu,et al.  PBSA_E: A PBSA-Based Free Energy Estimator for Protein-Ligand Binding Affinity , 2016, J. Chem. Inf. Model..

[185]  W. Sippl,et al.  Docking and binding free energy calculations of sirtuin inhibitors. , 2015, European journal of medicinal chemistry.

[186]  Sergio R. Ribone,et al.  Development of a receptor model for efficient in silico screening of HIV-1 integrase inhibitors. , 2014, Journal of molecular graphics & modelling.

[187]  Y. Pommier,et al.  Discovery of selective inhibitors of tyrosyl-DNA phosphodiesterase 2 by targeting the enzyme DNA-binding cleft. , 2016, Bioorganic & medicinal chemistry letters.

[188]  Chenglung Chen,et al.  Effect of Solvent Water Molecules on Human Serum Albumin Complex-Docked Paclitaxel by MM-PBSA Method , 2016, Interdisciplinary Sciences: Computational Life Sciences.

[189]  Pär Söderhjelm,et al.  Resolving the problem of trapped water in binding cavities: prediction of host–guest binding free energies in the SAMPL5 challenge by funnel metadynamics , 2016, Journal of Computer-Aided Molecular Design.

[190]  Ronald M. Levy,et al.  The SGB/NP hydration free energy model based on the surface generalized born solvent reaction field and novel nonpolar hydration free energy estimators , 2002, J. Comput. Chem..

[191]  Z. Tong,et al.  The recognition mechanism of crizotinib on MTH1: influence of chirality on the bioactivity , 2016 .

[192]  M. Gilson,et al.  The physical basis of nucleic acid base stacking in water. , 2001, Biophysical journal.

[193]  R. Maurya,et al.  Identification of novel inhibitors of the translationally controlled tumor protein (TCTP): insights from molecular dynamics. , 2017, Molecular bioSystems.

[194]  Shantenu Jha,et al.  Computing Clinically Relevant Binding Free Energies of HIV-1 Protease Inhibitors , 2014, Journal of chemical theory and computation.

[195]  Ly Le,et al.  Identification of Novel Compounds against an R294K Substitution of Influenza A (H7N9) Virus Using Ensemble Based Drug Virtual Screening , 2015, International journal of medical sciences.

[196]  Harold A. Scheraga,et al.  Free energies of hydration of solute molecules. 1. Improvement of the hydration shell model by exact computations of overlapping volumes , 1987 .

[197]  Youyong Li,et al.  Assessing the performance of MM/PBSA and MM/GBSA methods. 4. Accuracies of MM/PBSA and MM/GBSA methodologies evaluated by various simulation protocols using PDBbind data set. , 2014, Physical chemistry chemical physics : PCCP.

[198]  Cristina Paissoni,et al.  GMXPBSA 2.0: A GROMACS tool to perform MM/PBSA and computational alanine scanning , 2014, Comput. Phys. Commun..

[199]  S. Sinha,et al.  Dissecting the role of mutations in chymase inhibition: Free energy and decomposition analysis. , 2017, Gene.

[200]  Jing Wang,et al.  Effect of the R119G mutation on human P5CR structure and its interactions with NAD: Insights derived from molecular dynamics simulation and free energy analysis , 2017, Comput. Biol. Chem..

[201]  Malcolm E. Davis,et al.  Electrostatics in biomolecular structure and dynamics , 1990 .

[202]  Rommie E. Amaro,et al.  Molecular dynamics analysis of antibody recognition and escape by human H1N1 influenza hemagglutinin. , 2015, Biophysical journal.

[203]  M. Galliano,et al.  Mutants and molecular dockings reveal that the primary L-thyroxine binding site in human serum albumin is not the one which can cause familial dysalbuminemic hyperthyroxinemia. , 2016, Biochimica et biophysica acta.

[204]  Yanzhi Guo,et al.  Molecular mechanism of carbon nanotube to activate Subtilisin Carlsberg in polar and non-polar organic media , 2016, Scientific Reports.

[205]  D. Chandler,et al.  Theory of the hydrophobic effect , 1977 .

[206]  D. Chandler,et al.  Hydrophobicity at Small and Large Length Scales , 1999 .

[207]  Jianzhong Chen Drug resistance mechanisms of three mutations V32I, I47V and V82I in HIV-1 protease toward inhibitors probed by molecular dynamics simulations and binding free energy predictions , 2016 .

[208]  Pin-Chih Su,et al.  Comparison of radii sets, entropy, QM methods, and sampling on MM‐PBSA, MM‐GBSA, and QM/MM‐GBSA ligand binding energies of F. tularensis enoyl‐ACP reductase (FabI) , 2015, J. Comput. Chem..

[209]  Ray Luo,et al.  Exploring a coarse-grained distributive strategy for finite-difference Poisson–Boltzmann calculations , 2010, Journal of molecular modeling.

[210]  Chenglung Chen,et al.  The binding affinity of human serum albumin and paclitaxel through MMPBSA based on docked complex , 2016 .

[211]  K. Sekar,et al.  Crystal structures of an archaeal thymidylate kinase from Sulfolobus tokodaii provide insights into the role of a conserved active site Arginine residue. , 2017, Journal of structural biology.

[212]  S. Jamal,et al.  Hydrophobic Interactions Are a Key to MDM2 Inhibition by Polyphenols as Revealed by Molecular Dynamics Simulations and MM/PBSA Free Energy Calculations , 2016, PloS one.

[213]  Tingjun Hou,et al.  Assessing the performance of MM/PBSA and MM/GBSA methods. 5. Improved docking performance using high solute dielectric constant MM/GBSA and MM/PBSA rescoring. , 2014, Physical chemistry chemical physics : PCCP.

[214]  Serdar Durdagi,et al.  Elucidation of Conformational States, Dynamics, and Mechanism of Binding in Human κ-Opioid Receptor Complexes , 2014, J. Chem. Inf. Model..

[215]  Junmei Wang,et al.  A Continuum Poisson-Boltzmann Model for Membrane Channel Proteins. , 2017, Journal of chemical theory and computation.

[216]  Michael K. Gilson,et al.  Synthetic Adenine Receptors: Direct Calculation of Binding Affinity and Entropy , 2000 .

[217]  C. Weber,et al.  Structure-Based Design of Peptidic Inhibitors of the Interaction between CC Chemokine Ligand 5 (CCL5) and Human Neutrophil Peptides 1 (HNP1). , 2016, Journal of medicinal chemistry.

[218]  J. Bao,et al.  Computer-aided identification of potential TYK2 inhibitors from drug database , 2016 .

[219]  B. Widom,et al.  Potential-distribution theory and the statistical mechanics of fluids , 1982 .

[220]  Art E. Cho,et al.  Molecular Insights into the Adsorption Mechanism of Human β-Defensin-3 on Bacterial Membranes. , 2016, Langmuir : the ACS journal of surfaces and colloids.

[221]  C. Suri,et al.  Combined molecular dynamics and continuum solvent approaches (MM-PBSA/GBSA) to predict noscapinoid binding to γ-tubulin dimer , 2015, SAR and QSAR in environmental research.

[222]  Ray Luo,et al.  A revised density function for molecular surface definition in continuum solvent models. , 2010, Journal of chemical theory and computation.

[223]  J. Buchner,et al.  BiPPred: Combined sequence‐ and structure‐based prediction of peptide binding to the Hsp70 chaperone BiP , 2016, Proteins: Structure, Function, and Bioinformatics.

[224]  N. Rodrigues,et al.  A novel dihydrocoumarin under experimental and theoretical characterization , 2017, Journal of Molecular Modeling.

[225]  H. Ishida,et al.  Mechanism for verification of mismatched and homoduplex DNAs by nucleotides‐bound MutS analyzed by molecular dynamics simulations , 2016, Proteins.

[226]  S. Chatterjee,et al.  Plant alkaloid chelerythrine induced aggregation of human telomere sequence--a unique mode of association between a small molecule and a quadruplex. , 2015, Biochemistry.

[227]  Jim Warwicker,et al.  Improved pKa calculations through flexibility based sampling of a water‐dominated interaction scheme , 2004, Protein science : a publication of the Protein Society.

[228]  J. Rivera-Chávez,et al.  Insights into molecular interactions between CaM and its inhibitors from molecular dynamics simulations and experimental data , 2016, Journal of biomolecular structure & dynamics.

[229]  Debasisa Mohanty,et al.  Structure-Based Multiscale Approach for Identification of Interaction Partners of PDZ Domains , 2014, J. Chem. Inf. Model..

[230]  Wu Xu,et al.  All-atomic molecular dynamic studies of human CDK8: Insight into the A-loop, point mutations and binding with its partner CycC , 2014, Comput. Biol. Chem..

[231]  M. Gilson,et al.  Ligand configurational entropy and protein binding , 2007, Proceedings of the National Academy of Sciences.

[232]  David L Mobley,et al.  Predicting small-molecule solvation free energies: an informal blind test for computational chemistry. , 2008, Journal of medicinal chemistry.

[233]  Ray Luo,et al.  Exploring a charge-central strategy in the solution of Poisson's equation for biomolecular applications. , 2013, Physical chemistry chemical physics : PCCP.

[234]  Marawan Ahmed,et al.  Entropy in bimolecular simulations: A comprehensive review of atomic fluctuations-based methods. , 2015, Journal of molecular graphics & modelling.

[235]  Muhammad Arba,et al.  Molecular docking and dynamics simulations on the interaction of cationic porphyrin–anthraquinone hybrids with DNA G-quadruplexes , 2016, Journal of biomolecular structure & dynamics.

[236]  Emil Alexov,et al.  Predicting Binding Free Energy Change Caused by Point Mutations with Knowledge-Modified MM/PBSA Method , 2015, PLoS Comput. Biol..

[237]  M. Gilson,et al.  Calculation of Host-Guest Binding Affinities Using a Quantum-Mechanical Energy Model. , 2012, Journal of chemical theory and computation.

[238]  Hongli Liu,et al.  Molecular mechanism of R-bicalutamide switching from androgen receptor antagonist to agonist induced by amino acid mutations using molecular dynamics simulations and free energy calculation , 2016, Journal of Computer-Aided Molecular Design.

[239]  E. Gonçalves,et al.  Comparative modeling and molecular dynamics suggest high carboxylase activity of the Cyanobium sp. CACIAM14 RbcL protein , 2016, Journal of Molecular Modeling.

[240]  K. Fukui,et al.  Insights into the binding specificity of wild type and mutated wheat germ agglutinin towards Neu5Acα(2‐3)Gal: a study by in silico mutations and molecular dynamics simulations , 2014, Journal of molecular recognition : JMR.

[241]  Wenjuan Wu,et al.  Studies of N(9)-arenthenyl purines as novel DFG-in and DFG-out dual Src/Abl inhibitors using 3D-QSAR, docking and molecular dynamics simulations. , 2015, Molecular bioSystems.

[242]  T. Truong,et al.  Study of the Binding Energies between Unnatural Amino Acids and Engineered Orthogonal Tyrosyl-tRNA Synthetases , 2015, Scientific Reports.

[243]  J. Wong,et al.  Inhibition kinetics and emodin cocrystal structure of a type II polyketide ketoreductase. , 2008, Biochemistry.

[244]  Ray Luo,et al.  Physical scoring function based on AMBER force field and Poisson–Boltzmann implicit solvent for protein structure prediction , 2004, Proteins.

[245]  Emil Alexov,et al.  Calculation of pKas in RNA: on the structural origins and functional roles of protonated nucleotides. , 2007, Journal of molecular biology.

[246]  Michael K. Gilson,et al.  ''Mining minima'': Direct computation of conformational free energy , 1997 .

[247]  Ray Luo,et al.  Roles of boundary conditions in DNA simulations: analysis of ion distributions with the finite-difference Poisson-Boltzmann method. , 2009, Biophysical journal.

[248]  Ray Luo,et al.  Protein stability prediction: a Poisson-Boltzmann approach. , 2008, The journal of physical chemistry. B.

[249]  Yonghua Wang,et al.  Computational Study Exploring the Interaction Mechanism of Benzimidazole Derivatives as Potent Cattle Bovine Viral Diarrhea Virus Inhibitors. , 2016, Journal of agricultural and food chemistry.

[250]  Molecular dynamics and principal components of potassium binding with human telomeric intra-molecular G-quadruplex , 2015, Protein & Cell.

[251]  R. E. Salmas,et al.  Synthesis, anticholinesterase activity and molecular modeling study of novel carbamate-substituted thymol/carvacrol derivatives. , 2017, Bioorganic & medicinal chemistry.

[252]  J. Warwicker,et al.  Calculation of the electric potential in the active site cleft due to alpha-helix dipoles. , 1982, Journal of molecular biology.

[253]  Stephen L Mayo,et al.  One‐ and two‐body decomposable Poisson‐Boltzmann methods for protein design calculations , 2005, Protein science : a publication of the Protein Society.

[254]  L. Eckhart,et al.  The molecular organization of the beta-sheet region in Corneous beta-proteins (beta-keratins) of sauropsids explains its stability and polymerization into filaments. , 2016, Journal of structural biology.

[255]  W. Rocchia,et al.  A Combined MPI-CUDA Parallel Solution of Linear and Nonlinear Poisson-Boltzmann Equation , 2014, BioMed research international.

[256]  Holger Gohlke,et al.  Efficient Approximation of Ligand Rotational and Translational Entropy Changes upon Binding for Use in MM-PBSA Calculations , 2017, J. Chem. Inf. Model..

[257]  Xiaolei Zhu,et al.  Molecular dynamic simulations reveal the mechanism of binding between xanthine inhibitors and DPP-4 , 2014, Journal of Molecular Modeling.

[258]  S. K. Pradhan,et al.  A conformational analysis of mouse Nalp3 domain structures by molecular dynamics simulations, and binding site analysis. , 2014, Molecular bioSystems.

[259]  S. Guan,et al.  Molecular Modeling and MM-PBSA Free Energy Analysis of Endo-1,4-β-Xylanase from Ruminococcus albus 8 , 2014, International journal of molecular sciences.

[260]  Binding Free Energy and the structural changes determination in hGH protein with different concentrations of copper ions (A molecular dynamics simulation study) , 2016 .

[261]  Mala L. Radhakrishnan,et al.  Investigating the nucleic acid interactions of histone‐derived antimicrobial peptides , 2017, FEBS letters.

[262]  B. Zhao,et al.  Noncovalent Interactions between Superoxide Dismutase and Flavonoids Studied by Native Mass Spectrometry Combined with Molecular Simulations. , 2016, Analytical chemistry.

[263]  Alexios-Leandros Skaltsounis,et al.  An evaluation of indirubin analogues as phosphorylase kinase inhibitors. , 2015, Journal of molecular graphics & modelling.

[264]  Jacopo Tomasi,et al.  Evaluation of the dispersion contribution to the solvation energy. A simple computational model in the continuum approximation , 1989 .

[265]  E. Alexov,et al.  SAAFEC: Predicting the Effect of Single Point Mutations on Protein Folding Free Energy Using a Knowledge-Modified MM/PBSA Approach , 2016, International journal of molecular sciences.

[266]  A. Kwon,et al.  β-Arm flexibility of HU from Staphylococcus aureus dictates the DNA-binding and recognition mechanism. , 2014, Acta crystallographica. Section D, Biological crystallography.

[267]  R. Jasiński,et al.  A DFT computational study of the molecular mechanism of [3 + 2] cycloaddition reactions between nitroethene and benzonitrile N-oxides , 2016, Journal of Molecular Modeling.

[268]  M. Izadyar,et al.  Glucose derivatives substitution and cyclic peptide diameter effects on the stability of the self-assembled cyclic peptide nanotubes; a joint QM/MD study. , 2017, Journal of molecular graphics & modelling.

[269]  Arpita Devi,et al.  Molecular docking and molecular dynamics studies reveal structural basis of inhibition and selectivity of inhibitors EGCG and OSU-03012 toward glucose regulated protein-78 (GRP78) overexpressed in glioblastoma , 2015, Journal of Molecular Modeling.

[270]  Dan Li,et al.  Importance of protein flexibility in ranking inhibitor affinities: modeling the binding mechanisms of piperidine carboxamides as Type I1/2 ALK inhibitors. , 2015, Physical chemistry chemical physics : PCCP.

[271]  Fu-li Zhao,et al.  In silico analysis of the effect of mutation on epidermal growth factor receptor in non-small-cell lung carcinoma: from mutational analysis to drug designing , 2017, Journal of biomolecular structure & dynamics.

[272]  K. Zheng,et al.  Docking and molecular dynamics studies of the binding between Peloruside A and tubulin , 2014, Journal of enzyme inhibition and medicinal chemistry.

[273]  Xiaolei Zhu,et al.  An insight into the inhibitory selectivity of 4-(Pyrazol- 4-yl)-pyrimidines to CDK4 over CDK2 , 2017 .

[274]  M. Izadyar,et al.  A combined molecular dynamic and quantum mechanic study of the solvent and guest molecule effect on the stability and length of heterocyclic peptide nanotubes. , 2015, Physical chemistry chemical physics : PCCP.

[275]  P. Carrupt,et al.  Molecular dynamics of zinc-finger ubiquitin binding domains: a comparative study of histone deacetylase 6 and ubiquitin-specific protease 5 , 2016, Journal of biomolecular structure & dynamics.

[276]  Li Xu,et al.  Biochemical Characterization of a Carboxylesterase from the Archaeon Pyrobaculum sp. 1860 and a Rational Explanation of Its Substrate Specificity and Thermostability , 2014, International journal of molecular sciences.

[277]  J. Tomasi,et al.  Dispersion and repulsion contributions to the solvation energy: Refinements to a simple computational model in the continuum approximation , 1991 .

[278]  ZhouZhi-Guang,et al.  Investigations on the mechanisms of interactions between matrix metalloproteinase 9 and its flavonoid inhibitors using a combination of molecular docking, hybrid quantum mechanical/molecular mechanical calculations, and molecular dynamics simulations , 2014 .

[279]  Lei Wang,et al.  Discovery and identification of Cdc37-derived peptides targeting the Hsp90–Cdc37 protein–protein interaction , 2015 .

[280]  J. B. Matthew Electrostatic effects in proteins. , 1985, Annual review of biophysics and biophysical chemistry.

[281]  H. C. Andersen,et al.  Role of Repulsive Forces in Determining the Equilibrium Structure of Simple Liquids , 1971 .

[282]  S. Goedecker,et al.  A generalized Poisson and Poisson-Boltzmann solver for electrostatic environments. , 2015, The Journal of chemical physics.

[283]  M. Gilson,et al.  Strength of Solvent-Exposed Salt-Bridges† , 1999 .

[284]  G. Hummer,et al.  HYDROPHOBIC FORCE FIELD AS A MOLECULAR ALTERNATIVE TO SURFACE-AREA MODELS , 1999 .

[285]  Michael K. Gilson,et al.  pKa Shifts in Small Molecules and HIV Protease: Electrostatics and Conformation , 1998 .

[286]  M. Guo,et al.  Characterization of the Interaction between Gallic Acid and Lysozyme by Molecular Dynamics Simulation and Optical Spectroscopy , 2015, International journal of molecular sciences.

[287]  P. Carloni,et al.  Ligand binding to anti-cancer target CD44 investigated by molecular simulations , 2016, Journal of Molecular Modeling.

[288]  Dan Li,et al.  Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein-protein binding free energies and re-rank binding poses generated by protein-protein docking. , 2016, Physical chemistry chemical physics : PCCP.

[289]  U. Hansmann,et al.  Effect of single point mutations in a form of systemic amyloidosis , 2015, Protein science : a publication of the Protein Society.

[290]  S. K. Pradhan,et al.  Molecular dynamics simulation of human serum paraoxonase 1 in DPPC bilayer reveals a critical role of transmembrane helix H1 for HDL association , 2013, European Biophysics Journal.

[291]  D. Sroczyński,et al.  New 1(2H)-phthalazinone derivatives as potent nonpeptidic HIV-1 protease inhibitors: molecular docking studies, molecular dynamics simulation, oral bioavailability and ADME prediction , 2016 .

[292]  Molecular dynamics of nor-Seco-cucurbit[10]uril complexes , 2015, Journal of Inclusion Phenomena and Macrocyclic Chemistry.

[293]  Muhammad Arba,et al.  In silico study of porphyrin-anthraquinone hybrids as CDK2 inhibitor , 2017, Comput. Biol. Chem..

[294]  Rajendra Kumar,et al.  g_mmpbsa - A GROMACS Tool for High-Throughput MM-PBSA Calculations , 2014, J. Chem. Inf. Model..

[295]  Lars Olsen,et al.  Binding affinities in the SAMPL3 trypsin and host–guest blind tests estimated with the MM/PBSA and LIE methods , 2012, Journal of Computer-Aided Molecular Design.

[296]  Zha Ruibo,et al.  Molecular Dynamics Simulation and Antibacterial Mechanism of 3MBA Derivatives as FtsZ Protein Inhibitors , 2015 .

[297]  Lili Duan,et al.  Large-scale molecular dynamics simulation: Effect of polarization on thrombin-ligand binding energy , 2016, Scientific Reports.

[298]  J. H. Zhang,et al.  The origin of the cooperativity in the streptavidin-biotin system: A computational investigation through molecular dynamics simulations , 2016, Scientific Reports.

[299]  W. Kao,et al.  Lumican Peptides: Rational Design Targeting ALK5/TGFBRI , 2017, Scientific Reports.

[300]  Weiliang Zhu,et al.  Binding Modes of Three Inhibitors 8CA, F8A and I4A to A-FABP Studied Based on Molecular Dynamics Simulation , 2014, PloS one.

[301]  Jun-Ping Liu,et al.  Effects of the central potassium ions on the G-quadruplex and stabilizer binding. , 2017, Journal of molecular graphics & modelling.

[302]  A. Masunov,et al.  Full length amylin oligomer aggregation: insights from molecular dynamics simulations and implications for design of aggregation inhibitors , 2014, Journal of biomolecular structure & dynamics.

[303]  Siriluk Rattanabunyong,et al.  Understanding the molecular basis of EGFR kinase domain/MIG-6 peptide recognition complex using computational analyses , 2015, BMC Bioinformatics.

[304]  Jian Lu,et al.  The non-additive contribution of hydroxyl substituents to Akt kinase–apigenin affinity , 2015 .

[305]  P. Fernandes,et al.  Binding free energy calculations on E‐selectin complexes with sLex oligosaccharide analogs , 2017, Chemical biology & drug design.

[306]  Binding of N-substituted pyrrole derivatives to HIV-1 gp41 , 2014 .

[307]  Mingzhu Zheng,et al.  Computational Study on Substrate Specificity of a Novel Cysteine Protease 1 Precursor from Zea mays , 2014, International journal of molecular sciences.

[308]  S. Esener,et al.  Biochemical stability and molecular dynamic characterization of Aspergillus fumigatus cystathionine γ-lyase in response to various reaction effectors. , 2015, Enzyme and microbial technology.

[309]  Youwei Yan,et al.  Design and synthesis of potent and selective macrocyclic thrombin inhibitors. , 2003, Bioorganic & medicinal chemistry letters.

[311]  K. Dubey,et al.  MD simulation of LNA-modified human telomeric G-quadruplexes: a free energy calculation , 2015, Medicinal Chemistry Research.

[312]  Yeping Sun,et al.  Differential structural dynamics and antigenicity of two similar influenza H5N1 virus HA-specific HLA-A*0201-restricted CLT epitopes , 2014 .

[313]  Pedro Alexandrino Fernandes,et al.  New Parameters for Higher Accuracy in the Computation of Binding Free Energy Differences upon Alanine Scanning Mutagenesis on Protein-Protein Interfaces , 2017, J. Chem. Inf. Model..

[314]  I. Omotuyi Ebola virus envelope glycoprotein derived peptide in human Furin-bound state: computational studies , 2015, Journal of biomolecular structure & dynamics.

[315]  C. Tanford,et al.  Hydrophobicity of Long Chain n-Alkyl Carboxylic Acids, as Measured by Their Distribution Between Heptane and Aqueous Solutions. , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[316]  Ray Luo,et al.  Is Poisson-Boltzmann theory insufficient for protein folding simulations? , 2006, The Journal of chemical physics.

[317]  Şafak Özhan Kocakaya,et al.  The Molecular Modeling of Novel Inhibitors of Protein Tyrosine Phosphatase 1B Based on Catechol by MD and MM-GB (PB)/SA Calculations , 2014 .

[318]  O. Omotuyi Methyl-methoxylpyrrolinone and flavinium nucleus binding signatures on falcipain-2 active site , 2014, Journal of Molecular Modeling.

[319]  Wu Xu,et al.  Experimental and molecular dynamics studies showed that CBP KIX mutation affects the stability of CBP: c-Myb complex , 2016, Comput. Biol. Chem..

[320]  Ray Luo,et al.  Virtual screening using molecular simulations , 2011, Proteins.

[321]  Shaoyong Lu,et al.  Structural basis of valmerins as dual inhibitors of GSK3β/CDK5 , 2014, Journal of Molecular Modeling.

[322]  Yongjuan Liu,et al.  Combined 3D‐QSAR, Molecular Docking, Molecular Dynamics Simulation, and Binding Free Energy Calculation Studies on the 5‐Hydroxy‐2H‐Pyridazin‐3‐One Derivatives as HCV NS5B Polymerase Inhibitors , 2014, Chemical biology & drug design.

[323]  Xiaojian Wang,et al.  Assessing the ligand selectivity of sphingosine kinases using molecular dynamics and MM-PBSA binding free energy calculations. , 2016, Molecular bioSystems.

[324]  R. Luo,et al.  Overcoming entropic barrier with coupled sampling at dual resolutions. , 2005, The Journal of chemical physics.

[325]  T. Straatsma,et al.  Multiconfiguration thermodynamic integration , 1991 .

[326]  Ray Luo,et al.  Enhanced ab initio protein folding simulations in Poisson-Boltzmann molecular dynamics with self-guiding forces. , 2004, Journal of molecular graphics & modelling.

[327]  R. Luo,et al.  Force field influences in β‐hairpin folding simulations , 2006 .

[328]  L. Di Paola,et al.  Molecular features of interaction between VEGFA and anti-angiogenic drugs used in retinal diseases: a computational approach , 2015, Front. Pharmacol..

[329]  Lin Chen,et al.  Influence of the R823W mutation on the interaction of the ANKS6–ANKS3: insights from molecular dynamics simulation and free energy analysis , 2016, Journal of biomolecular structure & dynamics.

[330]  Natalie K. Connors,et al.  Energetic Changes Caused by Antigenic Module Insertion in a Virus-Like Particle Revealed by Experiment and Molecular Dynamics Simulations , 2014, PloS one.

[331]  Shizhong Yang,et al.  Effects of the Hydroxyl Group on Phenyl Based Ligand/ERRγ Protein Binding , 2014, Chemical research in toxicology.

[332]  Haiyan Qian,et al.  Molecular Modeling Studies of 11β-Hydroxysteroid Dehydrogenase Type 1 Inhibitors through Receptor-Based 3D-QSAR and Molecular Dynamics Simulations , 2016, Molecules.

[333]  D. Mohanty,et al.  Understanding the molecular basis of substrate binding specificity of PTB domains , 2016, Scientific Reports.

[334]  Xinlu Cheng,et al.  Theoretical study of the reaction mechanism of CH3NO2 with NO2, NO and CO: the bimolecular reactions that cannot be ignored , 2015, Journal of Molecular Modeling.

[335]  Shuhua Shi,et al.  Probing Difference in Binding Modes of Inhibitors to MDMX by Molecular Dynamics Simulations and Different Free Energy Methods , 2015, PloS one.

[336]  Xingyu Wang,et al.  A Comparative Insight into Amprenavir Resistance of Mutations V32I, G48V, I50V, I54V, and I84V in HIV-1 Protease Based on Thermodynamic Integration and MM-PBSA Methods , 2015, J. Chem. Inf. Model..

[337]  J. Mccammon,et al.  On the evaluation and optimization of protein X‐ray structures for pKa calculations , 2003, Protein science : a publication of the Protein Society.

[338]  Ray Luo,et al.  Structural and functional implications of p53 missense cancer mutations , 2009, PMC biophysics.

[339]  H. Hsieh,et al.  Disruption of protein–protein interactions: hot spot detection, structure-based virtual screening and in vitro testing for the anti-cancer drug target – survivin , 2016 .

[340]  T. Rungrotmongkol,et al.  Effect of D168V mutation in NS3/4A HCV protease on susceptibilities of faldaprevir and danoprevir. , 2016, Molecular bioSystems.