Literature DB >> 25605901

Kinetics of protein-ligand unbinding: Predicting pathways, rates, and rate-limiting steps.

Pratyush Tiwary1, Vittorio Limongelli2, Matteo Salvalaglio3, Michele Parrinello4.   

Abstract

The ability to predict the mechanisms and the associated rate constants of protein-ligand unbinding is of great practical importance in drug design. In this work we demonstrate how a recently introduced metadynamics-based approach allows exploration of the unbinding pathways, estimation of the rates, and determination of the rate-limiting steps in the paradigmatic case of the trypsin-benzamidine system. Protein, ligand, and solvent are described with full atomic resolution. Using metadynamics, multiple unbinding trajectories that start with the ligand in the crystallographic binding pose and end with the ligand in the fully solvated state are generated. The unbinding rate k off is computed from the mean residence time of the ligand. Using our previously computed binding affinity we also obtain the binding rate k on. Both rates are in agreement with reported experimental values. We uncover the complex pathways of unbinding trajectories and describe the critical rate-limiting steps with unprecedented detail. Our findings illuminate the role played by the coupling between subtle protein backbone fluctuations and the solvation by water molecules that enter the binding pocket and assist in the breaking of the shielded hydrogen bonds. We expect our approach to be useful in calculating rates for general protein-ligand systems and a valid support for drug design.

Entities:  

Keywords:  drug design; enhanced sampling; kinetics; protein–ligand unbinding

Mesh:

Substances:

Year:  2015        PMID: 25605901      PMCID: PMC4321287          DOI: 10.1073/pnas.1424461112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  44 in total

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2.  Global optimization by energy landscape paving.

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3.  Escaping free-energy minima.

Authors:  Alessandro Laio; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-23       Impact factor: 11.205

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5.  From A to B in free energy space.

Authors:  Davide Branduardi; Francesco Luigi Gervasio; Michele Parrinello
Journal:  J Chem Phys       Date:  2007-02-07       Impact factor: 3.488

6.  Well-tempered metadynamics: a smoothly converging and tunable free-energy method.

Authors:  Alessandro Barducci; Giovanni Bussi; Michele Parrinello
Journal:  Phys Rev Lett       Date:  2008-01-18       Impact factor: 9.161

7.  Random walk in orthogonal space to achieve efficient free-energy simulation of complex systems.

Authors:  Lianqing Zheng; Mengen Chen; Wei Yang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-15       Impact factor: 11.205

8.  Chemical kinetics and mechanisms of complex systems: a perspective on recent theoretical advances.

Authors:  Stephen J Klippenstein; Vijay S Pande; Donald G Truhlar
Journal:  J Am Chem Soc       Date:  2014-01-02       Impact factor: 15.419

9.  From metadynamics to dynamics.

Authors:  Pratyush Tiwary; Michele Parrinello
Journal:  Phys Rev Lett       Date:  2013-12-03       Impact factor: 9.161

10.  Improved side-chain torsion potentials for the Amber ff99SB protein force field.

Authors:  Kresten Lindorff-Larsen; Stefano Piana; Kim Palmo; Paul Maragakis; John L Klepeis; Ron O Dror; David E Shaw
Journal:  Proteins       Date:  2010-06
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  77 in total

1.  Role of water and steric constraints in the kinetics of cavity-ligand unbinding.

Authors:  Pratyush Tiwary; Jagannath Mondal; Joseph A Morrone; B J Berne
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-14       Impact factor: 11.205

Review 2.  The drug-target residence time model: a 10-year retrospective.

Authors:  Robert A Copeland
Journal:  Nat Rev Drug Discov       Date:  2015-12-18       Impact factor: 84.694

3.  Role of Molecular Interactions and Protein Rearrangement in the Dissociation Kinetics of p38α MAP Kinase Type-I/II/III Inhibitors.

Authors:  Wanli You; Chia-En A Chang
Journal:  J Chem Inf Model       Date:  2018-04-16       Impact factor: 4.956

4.  SEEKR: Simulation Enabled Estimation of Kinetic Rates, A Computational Tool to Estimate Molecular Kinetics and Its Application to Trypsin-Benzamidine Binding.

Authors:  Lane W Votapka; Benjamin R Jagger; Alexandra L Heyneman; Rommie E Amaro
Journal:  J Phys Chem B       Date:  2017-03-03       Impact factor: 2.991

5.  Unbinding Dynamics of Non-Nucleoside Inhibitors from HIV-1 Reverse Transcriptase.

Authors:  Leela S Dodda; Julian Tirado-Rives; William L Jorgensen
Journal:  J Phys Chem B       Date:  2019-01-03       Impact factor: 2.991

6.  Molecular dynamics simulations of plutonium binding and its decorporation from the binding-cleft of human serum transferrin.

Authors:  Lokpati Mishra; Mahesh Sundararajan; Tusar Bandyopadhyay
Journal:  J Biol Inorg Chem       Date:  2020-01-24       Impact factor: 3.358

7.  Mutation-induced protein interaction kinetics changes affect apoptotic network dynamic properties and facilitate oncogenesis.

Authors:  Linjie Zhao; Tanlin Sun; Jianfeng Pei; Qi Ouyang
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-13       Impact factor: 11.205

8.  Reversible silencing of endogenous receptors in intact brain tissue using 2-photon pharmacology.

Authors:  Silvia Pittolo; Hyojung Lee; Anna Lladó; Sébastien Tosi; Miquel Bosch; Lídia Bardia; Xavier Gómez-Santacana; Amadeu Llebaria; Eduardo Soriano; Julien Colombelli; Kira E Poskanzer; Gertrudis Perea; Pau Gorostiza
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-13       Impact factor: 11.205

9.  Variational implicit-solvent predictions of the dry-wet transition pathways for ligand-receptor binding and unbinding kinetics.

Authors:  Shenggao Zhou; R Gregor Weiß; Li-Tien Cheng; Joachim Dzubiella; J Andrew McCammon; Bo Li
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-03       Impact factor: 11.205

Review 10.  Markov State Models to Elucidate Ligand Binding Mechanism.

Authors:  Yunhui Ge; Vincent A Voelz
Journal:  Methods Mol Biol       Date:  2021
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