Literature DB >> 28060481

Mechanism of the Association Pathways for a Pair of Fast and Slow Binding Ligands of HIV-1 Protease.

Yu-Ming M Huang1, Mark Anthony V Raymundo1, Wei Chen1,2, Chia-En A Chang1.   

Abstract

Equilibrium constants, together with kinetic rate constants of binding, are key factors in the efficacy and safety of drug compounds, informing drug design. However, the association pathways of protein-ligand binding, which contribute to their kinetic behaviors, are little understood. In this work, we used unbiased all-atom molecular dynamics (MD) simulations with an explicit solvent model to study the association processes of protein-ligand binding. Using the HIV protease (HIVp)-xk263 and HIVp-ritonavir protein-ligand systems as cases, we observed that ligand association is a multistep process involving diffusion, localization, and conformational rearrangements of the protein, ligand, and water molecules. Moreover, these two ligands preferred different routes of binding, which reflect two well-known binding mechanisms: induced-fit and conformation selection models. Our study shows that xk263 has a stronger capacity for desolvating surrounding water molecules, thereby inducing a semiopen conformation of the HIVp flaps (induced-fit model). In contrast, the slow dehydration characteristic of ritonavir allows for gradual association with the binding pocket of HIVp when the protein's flap conformation is fully open (conformation selection model). By studying the mechanism of ligand association and understanding the role of solvent molecules during the binding event, we can obtain a different perspective on the mechanism of macromolecule recognition, providing insights into drug discovery.

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Year:  2017        PMID: 28060481      PMCID: PMC5499997          DOI: 10.1021/acs.biochem.6b01112

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  67 in total

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5.  The dynamics of drug-target interactions: drug-target residence time and its impact on efficacy and safety.

Authors:  Robert A Copeland
Journal:  Expert Opin Drug Discov       Date:  2010-04       Impact factor: 6.098

6.  Identifying the molecular mechanics and binding dynamics characteristics of potent inhibitors to HIV-1 protease.

Authors:  Dechang Li; Ming S Liu; Baohua Ji; Keh-Chih Hwang; Yonggang Huang
Journal:  Chem Biol Drug Des       Date:  2012-06-27       Impact factor: 2.817

7.  Insights into the dynamics of HIV-1 protease: a kinetic network model constructed from atomistic simulations.

Authors:  Nan-jie Deng; Weihua Zheng; Emillio Gallicchio; Ronald M Levy
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8.  Switches of hydrogen bonds during ligand-protein association processes determine binding kinetics.

Authors:  Yu-ming M Huang; Myungshim Kang; Chia-en A Chang
Journal:  J Mol Recognit       Date:  2014-09       Impact factor: 2.137

9.  ABT-538 is a potent inhibitor of human immunodeficiency virus protease and has high oral bioavailability in humans.

Authors:  D J Kempf; K C Marsh; J F Denissen; E McDonald; S Vasavanonda; C A Flentge; B E Green; L Fino; C H Park; X P Kong
Journal:  Proc Natl Acad Sci U S A       Date:  1995-03-28       Impact factor: 11.205

10.  Gaussian Accelerated Molecular Dynamics: Unconstrained Enhanced Sampling and Free Energy Calculation.

Authors:  Yinglong Miao; Victoria A Feher; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2015-07-14       Impact factor: 6.006

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  11 in total

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2.  Escape of a Small Molecule from Inside T4 Lysozyme by Multiple Pathways.

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Journal:  Biophys J       Date:  2018-03-13       Impact factor: 4.033

3.  Ligand Binding Pathways and Conformational Transitions of the HIV Protease.

Authors:  Yinglong Miao; Yu-Ming M Huang; Ross C Walker; J Andrew McCammon; Chia-En A Chang
Journal:  Biochemistry       Date:  2018-02-15       Impact factor: 3.162

4.  Heterogeneous CPU+GPU-Enabled Simulations for DFTB Molecular Dynamics of Large Chemical and Biological Systems.

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Journal:  J Chem Theory Comput       Date:  2019-03-27       Impact factor: 6.006

5.  Multiscale computational study of ligand binding pathways: Case of p38 MAP kinase and its inhibitors.

Authors:  Yu-Ming M Huang
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6.  Prediction of Drug-Target Binding Kinetics by Comparative Binding Energy Analysis.

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Journal:  ACS Med Chem Lett       Date:  2018-10-04       Impact factor: 4.345

Review 7.  Gaussian accelerated molecular dynamics for elucidation of drug pathways.

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Journal:  Expert Opin Drug Discov       Date:  2018-10-29       Impact factor: 6.098

8.  Molecular Dynamics of Cobalt Protoporphyrin Antagonism of the Cancer Suppressor REV-ERBβ.

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9.  Molecular Mechanics Study of Flow and Surface Influence in Ligand-Protein Association.

Authors:  Shivansh Kaushik; Chia-En A Chang
Journal:  Front Mol Biosci       Date:  2021-05-10

10.  Ritonavir and xk263 Binding-Unbinding with HIV-1 Protease: Pathways, Energy and Comparison.

Authors:  Jianan Sun; Mark Anthony V Raymundo; Chia-En A Chang
Journal:  Life (Basel)       Date:  2022-01-13
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