Literature DB >> 28937668

Complete protein-protein association kinetics in atomic detail revealed by molecular dynamics simulations and Markov modelling.

Nuria Plattner1, Stefan Doerr2, Gianni De Fabritiis2,3, Frank Noé1.   

Abstract

Protein-protein association is fundamental to many life processes. However, a microscopic model describing the structures and kinetics during association and dissociation is lacking on account of the long lifetimes of associated states, which have prevented efficient sampling by direct molecular dynamics (MD) simulations. Here we demonstrate protein-protein association and dissociation in atomistic resolution for the ribonuclease barnase and its inhibitor barstar by combining adaptive high-throughput MD simulations and hidden Markov modelling. The model reveals experimentally consistent intermediate structures, energetics and kinetics on timescales from microseconds to hours. A variety of flexibly attached intermediates and misbound states funnel down to a transition state and a native basin consisting of the loosely bound near-native state and the tightly bound crystallographic state. These results offer a deeper level of insight into macromolecular recognition and our approach opens the door for understanding and manipulating a wide range of macromolecular association processes.

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Year:  2017        PMID: 28937668     DOI: 10.1038/nchem.2785

Source DB:  PubMed          Journal:  Nat Chem        ISSN: 1755-4330            Impact factor:   24.427


  45 in total

1.  Experimental assignment of the structure of the transition state for the association of barnase and barstar.

Authors:  C Frisch; A R Fersht; G Schreiber
Journal:  J Mol Biol       Date:  2001-04-20       Impact factor: 5.469

2.  Estimation and uncertainty of reversible Markov models.

Authors:  Benjamin Trendelkamp-Schroer; Hao Wu; Fabian Paul; Frank Noé
Journal:  J Chem Phys       Date:  2015-11-07       Impact factor: 3.488

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

Authors:  Jakob Schluttig; Denitsa Alamanova; Volkhard Helms; Ulrich S Schwarz
Journal:  J Chem Phys       Date:  2008-10-21       Impact factor: 3.488

4.  Single-molecule fluorescence experiments determine protein folding transition path times.

Authors:  Hoi Sung Chung; Kevin McHale; John M Louis; William A Eaton
Journal:  Science       Date:  2012-02-24       Impact factor: 47.728

5.  Enhanced modeling via network theory: Adaptive sampling of Markov state models.

Authors:  Gregory R Bowman; Daniel L Ensign; Vijay S Pande
Journal:  J Chem Theory Comput       Date:  2010       Impact factor: 6.006

6.  From metadynamics to dynamics.

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

7.  HTMD: High-Throughput Molecular Dynamics for Molecular Discovery.

Authors:  S Doerr; M J Harvey; Frank Noé; G De Fabritiis
Journal:  J Chem Theory Comput       Date:  2016-03-16       Impact factor: 6.006

8.  Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ(1) and χ(2) dihedral angles.

Authors:  Robert B Best; Xiao Zhu; Jihyun Shim; Pedro E M Lopes; Jeetain Mittal; Michael Feig; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2012-07-18       Impact factor: 6.006

Review 9.  Fundamental aspects of protein-protein association kinetics.

Authors:  G Schreiber; G Haran; H-X Zhou
Journal:  Chem Rev       Date:  2009-03-11       Impact factor: 60.622

10.  Protein conformational plasticity and complex ligand-binding kinetics explored by atomistic simulations and Markov models.

Authors:  Nuria Plattner; Frank Noé
Journal:  Nat Commun       Date:  2015-07-02       Impact factor: 14.919

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  71 in total

1.  Dynamic graphical models of molecular kinetics.

Authors:  Simon Olsson; Frank Noé
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-08       Impact factor: 11.205

2.  The dynamic conformational landscape of the protein methyltransferase SETD8.

Authors:  Shi Chen; Rafal P Wiewiora; Fanwang Meng; Nicolas Babault; Anqi Ma; Wenyu Yu; Kun Qian; Hao Hu; Hua Zou; Junyi Wang; Shijie Fan; Gil Blum; Fabio Pittella-Silva; Kyle A Beauchamp; Wolfram Tempel; Hualiang Jiang; Kaixian Chen; Robert J Skene; Yujun George Zheng; Peter J Brown; Jian Jin; Cheng Luo; John D Chodera; Minkui Luo
Journal:  Elife       Date:  2019-05-13       Impact factor: 8.140

Review 3.  Markov State Models to Elucidate Ligand Binding Mechanism.

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

4.  Simulations Reveal Multiple Intermediates in the Unzipping Mechanism of Neuronal SNARE Complex.

Authors:  Giovanni Pinamonti; Gregory Campo; Justin Chen; Alex Kluber; Cecilia Clementi
Journal:  Biophys J       Date:  2018-09-07       Impact factor: 4.033

Review 5.  An overview of recent molecular dynamics applications as medicinal chemistry tools for the undruggable site challenge.

Authors:  Ugo Perricone; Maria Rita Gulotta; Jessica Lombino; Barbara Parrino; Stella Cascioferro; Patrizia Diana; Girolamo Cirrincione; Alessandro Padova
Journal:  Medchemcomm       Date:  2018-04-19       Impact factor: 3.597

6.  Multiscale Methods in Drug Design Bridge Chemical and Biological Complexity in the Search for Cures.

Authors:  Rommie E Amaro; Adrian J Mulholland
Journal:  Nat Rev Chem       Date:  2018-04-11       Impact factor: 34.035

7.  Hierarchical Markov State Model Building to Describe Molecular Processes.

Authors:  David K Wolfe; Joseph R Persichetti; Ajeet K Sharma; Phillip S Hudson; H Lee Woodcock; Edward P O'Brien
Journal:  J Chem Theory Comput       Date:  2020-02-17       Impact factor: 6.006

8.  Multisite reversible association in membranes and solutions: From non-Markovian to Markovian kinetics.

Authors:  Irina V Gopich
Journal:  J Chem Phys       Date:  2020-03-14       Impact factor: 3.488

9.  All-atom adaptively biased path optimization of Src kinase conformational inactivation: Switched electrostatic network in the concerted motion of αC helix and the activation loop.

Authors:  Heng Wu; He Huang; Carol Beth Post
Journal:  J Chem Phys       Date:  2020-11-07       Impact factor: 3.488

10.  Markov state modeling reveals alternative unbinding pathways for peptide-MHC complexes.

Authors:  Jayvee R Abella; Dinler Antunes; Kyle Jackson; Gregory Lizée; Cecilia Clementi; Lydia E Kavraki
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-12       Impact factor: 11.205

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