Importance of polar solvation and configurational entropy for design of antiretroviral drugs targeting HIV-1 protease.
Abstract
Both KNI-10033 and KNI-10075 are high affinity preclinical HIV-1 protease (PR) inhibitors with affinities in the picomolar range. In this work, the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method has been used to investigate the potency of these two HIV-1 PR inhibitors against the wild-type and mutated proteases assuming that potency correlates with the affinity of the drugs for the target protein. The decomposition of the binding free energy reveals the origin of binding affinities or mutation-induced affinity changes. Our calculations indicate that the mutation I50V causes drug resistance against both inhibitors. On the other hand, we predict that the mutant I84V causes drug resistance against KNI-10075 while KNI-10033 is more potent against the I84V mutant compared to wild-type protease. Drug resistance arises mainly from unfavorable shifts in van der Waals interactions and configurational entropy. The latter indicates that neglecting changes in configurational entropy in the computation of relative binding affinities as often done is not appropriate in general. For the bound complex PR(I50V)-KNI-10075, an increased polar solvation free energy also contributes to the drug resistance. The importance of polar solvation free energies is revealed when interactions governing the binding of KNI-10033 or KNI-10075 to the wild-type protease are compared to the inhibitors darunavir or GRL-06579A. Although the contributions from intermolecular electrostatic and van der Waals interactions as well as the nonpolar component of the solvation free energy are more favorable for PR-KNI-10033 or PR-KNI-10075 compared to PR-DRV or PR-GRL-06579A, both KNI-10033 and KNI-10075 show a similar affinity as darunavir and a lower binding affinity relative to GRL-06579A. This is because of the polar solvation free energy which is less unfavorable for darunavir or GRL-06579A relative to KNI-10033 or KNI-10075. The importance of the polar solvation as revealed here highlights that structural inspection alone is not sufficient for identifying the key contributions to binding affinities and affinity changes for the design of drugs but that solvation effects must be taken into account. A detailed understanding of the molecular forces governing binding and drug resistance might assist in the design of new inhibitors against HIV-1 PR variants that are resistant against current drugs.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The desolvation of polar or charged groups of the protein or ligand is unfavorable to binding when the formed solute-solvent interactions are not effectively satisfied upon protein-ligand binding.
“At the same time, the desolvation of polar or charged groups of the protein or ligand is unfavorable to binding when the formed solute–solvent interactions are not effectively satisfied upon the protein–ligand binding (Blaber et al., 1993; Kar et al., 2013).”
From Empirical scoring functions for structure-based virtual screening: applications, critical aspects, and challenges (2018) · cites this paper as Kar et al., 2013
The unfavorable desolvation effect from burying polar groups after ligand binding plays an important role in the binding event, but it is commonly neglected by most scoring functions.
“The unfavorable desolvation effect from burying polar groups after ligand binding also plays an important role in the binding event, but it is commonly neglected by most scoring functions (Kar et al., 2013; Li et al., 2014c; Cramer et al., 2017).”
From Empirical scoring functions for structure-based virtual screening: applications, critical aspects, and challenges (2018) · cites this paper as Kar et al., 2013
Cites
Comparison of simple potential functions for simulating liquid water
Jorgensen, W. L., Chandrasekhar, J., Madura, J., Impey, R., & Klein, M. (1983) · The Journal of Chemical Physics · doi:10.1063/1.445869 · Cited by 38,335 · see citing works
Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems
Darden, T., York, D., & Pedersen, L. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464397 · Cited by 29,588 · see citing works
Ryckaert, J., Ciccotti, G., & Berendsen, H. (1977) · Journal of Computational Physics · doi:10.1016/0021-9991(77)90098-5 · Cited by 19,525 · see citing works
Development and testing of a general amber force field
Wang, J.-M., Wolf, R., Caldwell, J., Kollman, P., & Case, D. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20035 · Cited by 18,318 · see citing works
The Amber biomolecular simulation programs
Case, D. A., Cheatham, T. E., Darden, T., Gohlke, H., Luo, R., Merz, K. M., Onufriev, A., Simmerling, C., Wang, B., & Woods, R. J. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20290 · Cited by 9,535 · see citing works
Electrostatics of nanosystems: Application to microtubules and the ribosome
Baker, N., Sept, D., Joseph, S., Holst, M., & McCammon, J. A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.181342398 · Cited by 7,125 · see citing works
Nonphysical sampling distributions in Monte Carlo free-energy estimation: Umbrella sampling
Torrie, G. M., & Valleau, J. P. (1977) · Journal of Computational Physics · doi:10.1016/0021-9991(77)90121-8 · Cited by 6,091 · see citing works
Laio, A., & Parrinello, M. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.202427399 · Cited by 5,626 · see citing works
Automatic atom type and bond type perception in molecular mechanical calculations
Wang, J., Wang, W., Kollman, P. A., & Case, D. A. (2006) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2005.12.005 · Cited by 5,517 · see citing works
Kollman, P. A., Massova, I., Reyes, C., Kuhn, B., Huo, S., Chong, L., Lee, M., Lee, T., Duan, Y., Wang, W., et al. (2000) · Accounts of Chemical Research · doi:10.1021/ar000033j · Cited by 4,978 · see citing works
Duan, Y., Wu, C., Chowdhury, S., Lee, M. C., Xiong, G., Zhang, W., Yang, R., Cieplak, P., Luo, R., Lee, T.-S., et al. (2003) · Journal of Computational Chemistry · doi:10.1002/jcc.10349 · Cited by 4,271 · see citing works
Statistical Mechanics of Fluid Mixtures
Kirkwood, J. G. (1935) · The Journal of Chemical Physics · doi:10.1063/1.1749657 · Cited by 3,454 · see citing works
Jakalian, A., Jack, D. B., & Bayly, C. I. (2002) · Journal of Computational Chemistry · doi:10.1002/jcc.10128 · Cited by 3,428 · see citing works
High‐Temperature Equation of State by a Perturbation Method. I. Nonpolar Gases
Zwanzig, R. (1954) · The Journal of Chemical Physics · doi:10.1063/1.1740409 · Cited by 2,923 · see citing works
Hou, T., Wang, J., Li, Y., & Wang, W. (2010) · Journal of Chemical Information and Modeling · doi:10.1021/ci100275a · Cited by 2,800 · see citing works
Accurate Calculation of Hydration Free Energies Using Macroscopic Solvent Models
Sitkoff, D. F., Sharp, K. A., & Honig, B. H. (1994) · The Journal of Physical Chemistry · doi:10.1021/j100058a043 · Cited by 2,160 · see citing works
Very fast empirical prediction and rationalization of protein pK a values
Li, H., Robertson, A. D., & Jensen, J. H. (2005) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20660 · Cited by 2,058 · see citing works
Approximate atomic surfaces from linear combinations of pairwise overlaps (LCPO)
Weiser, J., Shenkin, P. S., & Still, W. C. (1999) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(19990130)20:2 · Cited by 1,209 · see citing works
Gohlke, H., Kiel, C., & Case, D. (2003) · Journal of Molecular Biology · doi:10.1016/s0022-2836(03)00610-7 · Cited by 1,087 · see citing works
Method for estimating the configurational entropy of macromolecules
Karplus, M., & Kushick, J. N. (1981) · Macromolecules · doi:10.1021/ma50003a019 · Cited by 869 · see citing works
Fast and accurate predictions of binding free energies using MM‐PBSA and MM‐GBSA
Rastelli, G., Río, A. D., Degliesposti, G., & Sgobba, M. (2009) · Journal of Computational Chemistry · doi:10.1002/jcc.21372 · Cited by 838 · see citing works
Clavel, F., & Hance, A. J. (2004) · New England Journal of Medicine · doi:10.1056/nejmra025195 · Cited by 787 · see citing works
Wang, J., Morin, P. E., Wang, W., & Kollman, P. A. (2001) · Journal of the American Chemical Society · doi:10.1021/ja003834q · Cited by 709 · see citing works
Kuhn, B., & Kollman, P. A. (2000) · Journal of Medicinal Chemistry · doi:10.1021/jm000241h · Cited by 506 · see citing works
Ligand configurational entropy and protein binding
Chang, C. A., Chen, W., & Gilson, M. K. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610494104 · Cited by 439 · see citing works
Naïm, M., Bhat, S., Rankin, K. N., Dennis, S., Chowdhury, S. F., Siddiqi, M. I., Drabik, P., Sulea, T. I., Bayly, C. I., Jakalian, A., et al. (2007) · Journal of Chemical Information and Modeling · doi:10.1021/ci600406v · Cited by 420 · see citing works
HIV-1 protease flaps spontaneously open and reclose in molecular dynamics simulations
Horn̆ák, V., Okur, A., Rizzo, R. C., & Simmerling, C. L. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0508452103 · Cited by 375 · see citing works
Walker, B. D., & Burton, D. R. (2008) · Science · doi:10.1126/science.1152622 · Cited by 338 · see citing works
HIV-1 drug resistance mutations: an updated framework for the second decade of HAART.
Shafer, R. W., & Schapiro, J. (2008) · PubMed · Cited by 307 · see citing works
Hou, T., & Yu, R. (2007) · Journal of Medicinal Chemistry · doi:10.1021/jm0609162 · Cited by 262 · see citing works
Computational study of protein specificity: The molecular basis of HIV-1 protease drug resistance
Wang, W., & Kollman, P. A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.251265598 · Cited by 251 · see citing works
Molecular dynamics and free-energy calculations applied to affinity maturation in antibody 48G7
Chong, L. T., Duan, Y., Wang, L., Massova, I., & Kollman, P. A. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.25.14330 · Cited by 250 · see citing works
Calculation of Cyclodextrin Binding Affinities: Energy, Entropy, and Implications for Drug Design
Chen, W., Chang, C. A., & Gilson, M. K. (2004) · Biophysical Journal · doi:10.1529/biophysj.104.049494 · Cited by 241 · see citing works
Perryman, A. L., Lin, J., & McCammon, J. A. (2004) · Protein Science · doi:10.1110/ps.03468904 · Cited by 233 · see citing works
Compensating Enthalpic and Entropic Changes Hinder Binding Affinity Optimization
Lafont, V., Armstrong, A. A., Ohtaka, H., Kiso, Y., Amzel, L. M., & Freire, E. (2007) · Chemical Biology & Drug Design · doi:10.1111/j.1747-0285.2007.00519.x · Cited by 195 · see citing works
Free Energy Analysis of the Conformational Preferences of A and B Forms of DNA in Solution
Jayaram, B., Sprous, D. G., Young, M. A., & Beveridge, D. L. (1998) · Journal of the American Chemical Society · doi:10.1021/ja981307p · Cited by 189 · see citing works
Vergne, L., Peeters, M., Mpoudi‐Ngolé, E., Bourgeois, A., Liégeois, F., Touré‐Kâne, C., Mboup, S., Mulanga-Kabeya, C., Saman, E., Jourdan, J., et al. (2000) · Journal of Clinical Microbiology · doi:10.1128/jcm.38.11.3919-3925.2000 · Cited by 185 · see citing works
Reyes, C. M., & Kollman, P. A. (2000) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.3629 · Cited by 162 · see citing works
Zoete, V., Michielin, O. A., & Karplus, M. (2002) · Journal of Molecular Biology · doi:10.1006/jmbi.2001.5173 · Cited by 152 · see citing works
Rapid and Accurate Prediction of Binding Free Energies for Saquinavir-Bound HIV-1 Proteases
Stoica, I., Sadiq, S. K., & Coveney, P. V. (2008) · Journal of the American Chemical Society · doi:10.1021/ja0779250 · Cited by 150 · see citing works
Vorobjev, Y. N., Almagro, J. C., & Hérmans, J. J. (1998) · PubMed · Cited by 146 · see citing works
Drug resistance in HIV‐1 protease: Flexibility‐assisted mechanism of compensatory mutations
Piana, S., Carloni, P., & Röthlisberger, U. (2002) · Protein Science · doi:10.1110/ps.0206702 · Cited by 146 · see citing works
Adachi, M., Ohhara, T., Kurihara, K., Tamada, T., Honjo, E., Okazaki, N., Arai, S., Shoyama, Y., Kimura, K., Matsumura, H., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809400106 · Cited by 136 · see citing works
Shen, C., Wang, Y., Kovalevsky, A. Y., Harrison, R. W., & Weber, I. T. (2010) · FEBS Journal · doi:10.1111/j.1742-4658.2010.07771.x · Cited by 135 · see citing works
Evaluating the potency of HIV‐1 protease drugs to combat resistance
Hou, T., McLaughlin, W. A., & Wang, W. (2007) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.21808 · Cited by 118 · see citing works
Zhu, Z., Schuster, D. I., & Tuckerman, M. E. (2003) · Biochemistry · doi:10.1021/bi020496s · Cited by 103 · see citing works
Effect of Flap Mutations on Structure of HIV-1 Protease and Inhibition by Saquinavir and Darunavir
Liu, F., Kovalevsky, A. Y., Tie, Y., Ghosh, A. K., Harrison, R. W., & Weber, I. T. (2008) · Journal of Molecular Biology · doi:10.1016/j.jmb.2008.05.062 · Cited by 99 · see citing works
Foulkes-Murzycki, J. E., Scott, W. R. P., & Schiffer, C. A. (2007) · Structure · doi:10.1016/j.str.2007.01.006 · Cited by 96 · see citing works
Investigating the binding specificity of U1A-RNA by computational mutagenesis
Reyes, C. M., & Kollman, P. A. (2000) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.3319 · Cited by 67 · see citing works
Kar, P., & Knecht, V. (2012) · The Journal of Physical Chemistry B · doi:10.1021/jp211768n · Cited by 63 · see citing works
Self-citationWittayanarakul, K., Aruksakunwong, O., Saen‐oon, S., Chantratita, W., Parasuk, V., Sompornpisut, P., & Hannongbua, S. V. (2004) · Biophysical Journal · doi:10.1529/biophysj.104.046110 · Cited by 59 · see citing works
Reactivation of the totally inactive pancreatic lipase RP1 by structure-predicted point mutations
Roussel, A., CARO, J. D. D., Bezzine, S., Gastinel, L. N., Caro, A. M. D., Carrière, F., Leydier, S., Verger, R., & Cambillau, C. (1998) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(19980901)32:4 · Cited by 56 · see citing works
Ode, H., Matsuyama, S., Hata, M., Hoshino, T., Kakizawa, J., & Sugiura, W. (2007) · Journal of Medicinal Chemistry · doi:10.1021/jm061158i · Cited by 52 · see citing works
Energetic basis for drug resistance of HIV-1 protease mutants against amprenavir
Kar, P., & Knecht, V. (2012) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-012-9550-5 · Cited by 51 · see citing works
Self-citationFocus on composition and interaction potential of single‐pass transmembrane domains
Worch, R., Bökel, C., Höfinger, S., Schwille, P., & Weidemann, T. (2010) · PROTEOMICS · doi:10.1002/pmic.201000208 · Cited by 48 · see citing works
Tzoupis, H., Leonis, G., Durdağı, S., Mouchlis, V. D., Mavromoustakos, T., & Παπαδόπουλος, Μ. Γ. (2011) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-011-9475-4 · Cited by 47 · see citing works
Mutation-Induced Loop Opening and Energetics for Binding of Tamiflu to Influenza N8 Neuraminidase
Kar, P., & Knecht, V. (2012) · The Journal of Physical Chemistry B · doi:10.1021/jp3022612 · Cited by 40 · see citing works
Self-citationA Computational Exercise Illustrating Molecular Vibrations and Normal Modes
Rempe, S. B., & J�NSSON, H. (1998) · The Chemical Educator · doi:10.1007/s00897980231a · Cited by 40 · see citing works
Importance of Polar Solvation for Cross-Reactivity of Antibody and Its Variants with Steroids
Kar, P., Lipowsky, R., & Knecht, V. (2011) · The Journal of Physical Chemistry B · doi:10.1021/jp201538t · Cited by 40 · see citing works
Self-citationMolecular dynamics simulations of 14 HIV protease mutants in complexes with indinavir
Chen, X., Weber, I. T., & Harrison, R. W. (2004) · Journal of Molecular Modeling · doi:10.1007/s00894-004-0205-x · Cited by 37 · see citing works
Chen, J., Yang, M., Hu, G., Shi, S., Yi, C., & Zhang, Q. (2009) · Journal of Molecular Modeling · doi:10.1007/s00894-009-0452-y · Cited by 29 · see citing works
Energetics of Mutation-Induced Changes in Potency of Lersivirine against HIV-1 Reverse Transcriptase
Kar, P., & Knecht, V. (2012) · The Journal of Physical Chemistry B · doi:10.1021/jp300818c · Cited by 27 · see citing works
Self-citationTheoretical mimicry of biomembranes
Kar, P., Seel, M., Weidemann, T., & Höfinger, S. (2009) · FEBS Letters · doi:10.1016/j.febslet.2009.04.040 · Cited by 22 · see citing works
Self-citationWood, E., Hogg, R. S., Yip, B., Moore, D. M., Harrigan, P. R., & Montaner, J. (2007) · HIV Medicine · doi:10.1111/j.1468-1293.2007.00430.x · Cited by 19 · see citing works
Knecht, V. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp1048698 · Cited by 10 · see citing works
Self-citationIntroducing temperature dependence in an enhanced Poisson–Boltzmann approach
Höfinger, S., & Zerbetto, F. (2009) · Chemical Physics Letters · doi:10.1016/j.cplett.2009.08.079 · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Guedes, I. A., Pereira, F. S. S., & Dardenne, L. E. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.01089 · Cited by 331 · see citing works
New machine learning and physics-based scoring functions for drug discovery
Guedes, I. A., Barreto, A. M. S., Marinho, D., Krempser, E., Kuenemann, M. A., Spérandio, O., Dardenne, L. E., & Miteva, M. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-82410-1 · Cited by 215 · see citing works
Singh, S. K., Sk, M. F., Sonawane, A., Kar, P., & Sadhukhan, S. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1796810 · Cited by 145 · see citing works
Self-citationSk, M. F., Roy, R., Jonniya, N. A., Poddar, S., & Kar, P. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1768149 · Cited by 91 · see citing works
Self-citationPlatania, C. B. M., Paola, L. D., Leggio, G. M., Romano, G. L., Drago, F., Salomone, S., & Bucolo, C. (2015) · Frontiers in Pharmacology · doi:10.3389/fphar.2015.00248 · Cited by 84 · see citing works
Jonniya, N. A., Sk, M. F., & Kar, P. (2019) · ACS Omega · doi:10.1021/acsomega.9b02187 · Cited by 60 · see citing works
Self-citationBen-Shalom, I., Pfeiffer-Marek, S., Baringhaus, K., & Gohlke, H. (2017) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.6b00373 · Cited by 52 · see citing works
Sk, M. F., Jonniya, N. A., Roy, R., Poddar, S., & Kar, P. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.590165 · Cited by 48 · see citing works
Self-citationBittencourt, J. A. H. M., Neto, M. F. A., Lacerda, P. S., Bittencourt, R. C. V. S., Silva, R. C., Lobato, C. C., Silva, L. B., Leite, F. H. A., Zuliani, J. P., Rosa, J. M. C., et al. (2019) · Molecules · doi:10.3390/molecules24081476 · Cited by 39 · see citing works
Sk, M. F., Roy, R., & Kar, P. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1724196 · Cited by 39 · see citing works
Self-citationDetailed Analysis of 17β-Estradiol-Aptamer Interactions: A Molecular Dynamics Simulation Study
Eisold, A., & Labudde, D. (2018) · Molecules · doi:10.3390/molecules23071690 · Cited by 34 · see citing works
Potential alternatives to current cholinesterase inhibitors: anin silicodrug repurposing approach
Kundu, D., & Dubey, V. K. (2021) · Drug Development and Industrial Pharmacy · doi:10.1080/03639045.2021.1952216 · Cited by 32 · see citing works
Ligand entry into the calyx of β‐lactoglobulin
Bello, M., & García‐Hernández, E. (2013) · Biopolymers · doi:10.1002/bip.22454 · Cited by 32 · see citing works
Bani‐Yaseen, A. D., & Albalawi, M. O. (2014) · Physical Chemistry Chemical Physics · doi:10.1039/c4cp01679c · Cited by 30 · see citing works
Roy, R., Sk, M. F., Jonniya, N. A., Poddar, S., & Kar, P. (2021) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2021.1897680 · Cited by 29 · see citing works
Self-citationMathematical and computational modeling in biology at multiple scales
Tuszyński, J. A., Winter, P., White, D., Tseng, C., Sahu, K. K., Gentile, F., Spasevska, I., Omar, S. I., Nayebi, N., Churchill, C. D. M., et al. (2014) · Theoretical Biology and Medical Modelling · doi:10.1186/1742-4682-11-52 · Cited by 27 · see citing works
Fujimoto, K. J., Minami, S., & Yanai, T. (2022) · ACS Omega · doi:10.1021/acsomega.2c02822 · Cited by 29 · see citing works
Sk, M. F., Jonniya, N. A., & Kar, P. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1794965 · Cited by 27 · see citing works
Self-citationJonniya, N. A., Sk, M. F., & Kar, P. (2021) · Physical Chemistry Chemical Physics · doi:10.1039/d0cp05733a · Cited by 26 · see citing works
Self-citationDrug-binding albumins forming stabilized nanoparticles for efficient anticancer therapy
Huang, J., Wu, B., Zhou, Z., Hu, S., Xu, H., Piao, Y., Zheng, H., Tang, J., Liu, X., & Shen, Y. (2019) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2019.102058 · Cited by 24 · see citing works
Meher, B. R., & Wang, Y. (2014) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2014.11.003 · Cited by 22 · see citing works
Masand, V. H., Sk, M. F., Kar, P., Rastija, V., & Zaki, M. E. A. (2021) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2021.104394 · Cited by 19 · see citing works
Self-citationDrug repurposing for schistosomiasis: molecular docking and dynamics investigations
Ezebuo, F. C., & Uzochukwu, I. C. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1820382 · Cited by 18 · see citing works
In Silico Studies of Potential Selective Inhibitors of Thymidylate Kinase from Variola virus
Garcia, D. R., de Souza, F. R., Guimarães, A. P., Vališ, M., Pavelek, Z., Kuča, K., Ramalho, T. C., & França, T. C. C. (2021) · Pharmaceuticals · doi:10.3390/ph14101027 · Cited by 16 · see citing works
Garcia, D. R., de Souza, F. R., Guimarães, A. P., Ramalho, T. C., de Aguiar, A. P., & França, T. C. C. (2018) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2018.1554510 · Cited by 16 · see citing works
de Souza, F. R., Garcia, D. R., Cuya, T., Pimentel, A. S., Gonçalves, A. D. S., de Alencastro, R. B., & França, T. C. C. (2020) · ACS Omega · doi:10.1021/acsomega.9b03737 · Cited by 16 · see citing works
Indari, O., Sk, M. F., Jakhmola, S., Jonniya, N. A., Jha, H. C., & Kar, P. (2022) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.1c07850 · Cited by 12 · see citing works
Self-citationJonniya, N. A., Zhang, J., & Kar, P. (2021) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.1c04672 · Cited by 10 · see citing works
Self-citationPande, M., Kundu, D., & Srivastava, R. (2021) · Molecular Diversity · doi:10.1007/s11030-021-10205-7 · Cited by 9 · see citing works
Estévez, J., de Souza, F. R., Romo, M., Mangas, I., França, T. C. C., & Vilanova, E. (2019) · Archives of Toxicology · doi:10.1007/s00204-019-02423-8 · Cited by 9 · see citing works
Rahman, M. M., Junaid, M., Hosen, S. M. Z., Mostafa, M., Liu, L., & Benkendorff, K. (2021) · Molecules · doi:10.3390/molecules26216538 · Cited by 8 · see citing works
Jonniya, N. A., & Kar, P. (2022) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.2c00461 · Cited by 8 · see citing works
Self-citationSk, M. F., Haridev, S., Roy, R., & Kar, P. (2021) · SAR and QSAR in environmental research · doi:10.1080/1062936x.2021.1999318 · Cited by 7 · see citing works
Self-citationRoy, R., Sk, M. F., Tanwar, O., & Kar, P. (2022) · Molecular Diversity · doi:10.1007/s11030-022-10513-6 · Cited by 7 · see citing works
Self-citationMarashiyan, M., Kalhor, H., Ganji, M., & Rahimi, H. (2020) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2020.107563 · Cited by 7 · see citing works
Roy, R., Jonniya, N. A., Sk, M. F., & Kar, P. (2022) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2022.852895 · Cited by 6 · see citing works
Self-citationMultiscale Model for Quantitative Prediction of Insulin Aggregation Nucleation Kinetics
Mishra, R. P., & Goel, G. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00499 · Cited by 5 · see citing works
de Souza, F. R., Garcia, D. R., Cuya, T., Kuča, K., de Alencastro, R. B., & França, T. C. C. (2017) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2017.1324322 · Cited by 5 · see citing works
Yu, Y. X., Wang, W., Sun, H. B., Zhang, L., Wu, S., & Liu, W. (2021) · SAR and QSAR in environmental research · doi:10.1080/1062936x.2021.1939149 · Cited by 5 · see citing works
Girigani, S., Singh, H., Kola, S. R., Yelmeli, V. D., Regula, V. G., Shah, S., Jain, N., & Kumar, P. (2019) · Research on Chemical Intermediates · doi:10.1007/s11164-019-03948-4 · Cited by 4 · see citing works
Plasminogen Activator Inhibitors in Thrombosis: Structural Analysis and Potential Natural Inhibitors
Santos, R. V. D., Barrionuevo, M. V. F., Vieira, M. R. F., Mazoni, I., & Tasić, L. (2025) · ACS Omega · doi:10.1021/acsomega.5c02926 · Cited by 3 · see citing works
Guo, A., Wang, Z., Zhou, Y., Li, Y., Rao, L., & Wang, Y. (2025) · Food Research International · doi:10.1016/j.foodres.2025.117653 · Cited by 3 · see citing works
Jonniya, N. A., Poddar, S., Mahapatra, S., & Kar, P. (2023) · Cell Biochemistry and Biophysics · doi:10.1007/s12013-023-01175-8 · Cited by 3 · see citing works
Self-citationOmotuyi, O. I., Nash, O., Metibemu, S. D., Iwegbulam, G. C., Olatunji, O. M., Agbebi, E. A., & Falade, C. (2023) · Computational Toxicology · doi:10.1016/j.comtox.2023.100281 · Cited by 3 · see citing works
Karan, R., Pyne, A., Panda, S. K., Gupta, P. S. S., & Hazra, S. (2025) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2025.2563080 · Cited by 2 · see citing works
Pande, M., Kundu, D., & Srivastava, R. (2023) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2023.106290 · Cited by 2 · see citing works
Ursal, K. D., Sk, M. F., Mahapatra, S., & Kar, P. (2025) · Journal of Computational Chemistry · doi:10.1002/jcc.70172 · Cited by 2 · see citing works
Self-citationEzebuo, F. C., & Uzochukwu, I. C. (2019) · Current Computer - Aided Drug Design · doi:10.2174/1573409915666190708103132 · Cited by 2 · see citing works
Dissecting the geometric and hydrophobic constraints of stapled peptides
Li, J., Tan, Y. S., & Verma, C. S. (2024) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.26662 · Cited by 1 · see citing works
Ursal, K. D., & Kar, P. (2025) · In Silico Research in Biomedicine · doi:10.1016/j.insi.2025.100038 · Cited by 1 · see citing works
Self-citationJayakody, R. S., Arachchige, L. J., & Japahuge, A. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1751290 · Cited by 1 · see citing works
Kerry, R. G., Naik, H., Mahapatra, S. R., Nayak, S., Behera, A., Pattanaik, K. P., Ranjan, S., Misra, N., Rout, J. R., Das, G., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-5022136/v1 · Cited by 1 · see citing works
Qin, Y., Bian, J., Xu, S., Li, R., Liu, H., & Liu, R. (2026) · Environmental Science & Technology · doi:10.1021/acs.est.6c01836
- Authors
- Kar, P., Lipowsky, R., & Knecht, V.
- Affiliations
- Max Planck Institute of Colloids and Interfaces (DE)
- Corresponding author
- Knecht, Volker
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-05-08
- Volume
- 117
- Issue
- 19
- Pages
- 5793-5805
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2083946713
- Cited by
- 53
- References
- 66
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 12 · 2020: 9 · 2019: 6 · 2018: 3 · 2017: 1 · 2016: 1 · 2015: 1 · 2014: 3 · 2013: 1
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Physical Chemistry B (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS drug development and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- HIV-1 protease inhibitors, configurational entropy, drug resistance, binding free energy decomposition, MM-PBSA, darunavir, antiretroviral drug design
- MeSH terms
- Mutation, Protein Conformation, Protons, Solvents, Drug Design, HIV Protease, HIV Protease Inhibitors, Entropy, Molecular Dynamics Simulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review