Literature DB >> 21281585

Mechanisms of protein-ligand association and its modulation by protein mutations.

Martin Held1, Philipp Metzner2, Jan-Hendrik Prinz3, Frank Noé4.   

Abstract

Protein-ligand interactions are essential for nearly all biological processes, and yet the biophysical mechanism that enables potential binding partners to associate before specific binding occurs remains poorly understood. Fundamental questions include which factors influence the formation of protein-ligand encounter complexes, and whether designated association pathways exist. To address these questions, we developed a computational approach to systematically analyze the complete ensemble of association pathways. Here, we use this approach to study the binding of a phosphate ion to the Escherichia coli phosphate-binding protein. Various mutants of the protein are considered, and their effects on binding free-energy profiles, association rates, and association pathway distributions are quantified. The results reveal the existence of two anion attractors, i.e., regions that initially attract negatively charged particles and allow them to be efficiently screened for phosphate, which is subsequently specifically bound. Point mutations that affect the charge on these attractors modulate their attraction strength and speed up association to a factor of 10 of the diffusion limit, and thus change the association pathways of the phosphate ligand. It is demonstrated that a phosphate that prebinds to such an attractor neutralizes its attraction effect to the environment, making the simultaneous association of a second phosphate ion unlikely. This study suggests ways in which structural properties can be used to tune molecular association kinetics so as to optimize the efficiency of binding, and highlights the importance of kinetic properties.
Copyright © 2011 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21281585      PMCID: PMC3030248          DOI: 10.1016/j.bpj.2010.12.3699

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  37 in total

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2.  Protein-protein association: investigation of factors influencing association rates by brownian dynamics simulations.

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Journal:  J Chem Phys       Date:  2007-01-14       Impact factor: 3.488

5.  Illustration of transition path theory on a collection of simple examples.

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Journal:  J Chem Phys       Date:  2006-08-28       Impact factor: 3.488

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Journal:  J Phys Chem B       Date:  2008-01-31       Impact factor: 2.991

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Journal:  Science       Date:  1991-12-13       Impact factor: 47.728

8.  Dynamics of protein-protein encounter: a Langevin equation approach with reaction patches.

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Journal:  J Chem Phys       Date:  2008-10-21       Impact factor: 3.488

9.  Probability distributions of molecular observables computed from Markov models.

Authors:  Frank Noé
Journal:  J Chem Phys       Date:  2008-06-28       Impact factor: 3.488

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Authors:  H Luecke; F A Quiocho
Journal:  Nature       Date:  1990-09-27       Impact factor: 49.962

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  18 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-02       Impact factor: 11.205

2.  Kinetics of O2 Entry and Exit in Monomeric Sarcosine Oxidase via Markovian Milestoning Molecular Dynamics.

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3.  Homology models of mouse and rat estrogen receptor-α ligand-binding domain created by in silico mutagenesis of a human template: molecular docking with 17ß-estradiol, diethylstilbestrol, and paraben analogs.

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Authors:  M Bernetti; A Cavalli; L Mollica
Journal:  Medchemcomm       Date:  2017-01-30       Impact factor: 3.597

5.  Kinetics of ligand-receptor interaction reveals an induced-fit mode of binding in a cyclic nucleotide-activated protein.

Authors:  Sebastian Peuker; Abhishek Cukkemane; Martin Held; Frank Noé; U Benjamin Kaupp; Reinhard Seifert
Journal:  Biophys J       Date:  2013-01-08       Impact factor: 4.033

Review 6.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

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Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

Review 7.  Rate Constants and Mechanisms of Protein-Ligand Binding.

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Journal:  Annu Rev Biophys       Date:  2017-03-30       Impact factor: 12.981

8.  Free energy landscape for the binding process of Huperzine A to acetylcholinesterase.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-25       Impact factor: 11.205

9.  Quantitative comparison of alternative methods for coarse-graining biological networks.

Authors:  Gregory R Bowman; Luming Meng; Xuhui Huang
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

Review 10.  Markov state models of biomolecular conformational dynamics.

Authors:  John D Chodera; Frank Noé
Journal:  Curr Opin Struct Biol       Date:  2014-05-16       Impact factor: 6.809

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