Literature DB >> 23638941

NMR relaxation in proteins with fast internal motions and slow conformational exchange: model-free framework and Markov state simulations.

Junchao Xia1, Nan-jie Deng, Ronald M Levy.   

Abstract

Calculating NMR relaxation effects for proteins with dynamics on multiple time scales generally requires very long trajectories based on conventional molecular dynamics simulations. In this report, we have built Markov state models from multiple MD trajectories and used the resulting MSM to capture the very fast internal motions of the protein within a free energy basin on a time scale up to hundreds of picoseconds and the more than 3 orders of magnitude slower conformational exchange between macrostates. To interpret the relaxation data, we derive new equations using the model-free framework which includes two slowly exchanging macrostates, each of which also exhibits fast local motions. Using simulations of HIV-1 protease as an example, we show how the populations of slowly exchanging conformational states as well as order parameters for the different states can be determined from the NMR relaxation data.

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Year:  2013        PMID: 23638941      PMCID: PMC3727231          DOI: 10.1021/jp400797y

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  73 in total

1.  Fast-folding protein kinetics, hidden intermediates, and the sequential stabilization model.

Authors:  S Banu Ozkan; Ken A Dill; Ivet Bahar
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

2.  Temperature weighted histogram analysis method, replica exchange, and transition paths.

Authors:  Emilio Gallicchio; Michael Andrec; Anthony K Felts; Ronald M Levy
Journal:  J Phys Chem B       Date:  2005-04-14       Impact factor: 2.991

3.  Bayesian comparison of Markov models of molecular dynamics with detailed balance constraint.

Authors:  Sergio Bacallado; John D Chodera; Vijay Pande
Journal:  J Chem Phys       Date:  2009-07-28       Impact factor: 3.488

4.  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
Journal:  J Am Chem Soc       Date:  2011-05-25       Impact factor: 15.419

5.  Markov state model reveals folding and functional dynamics in ultra-long MD trajectories.

Authors:  Thomas J Lane; Gregory R Bowman; Kyle Beauchamp; Vincent A Voelz; Vijay S Pande
Journal:  J Am Chem Soc       Date:  2011-10-26       Impact factor: 15.419

6.  Dynamics of pyrophosphate ion release and its coupled trigger loop motion from closed to open state in RNA polymerase II.

Authors:  Lin-Tai Da; Dong Wang; Xuhui Huang
Journal:  J Am Chem Soc       Date:  2012-01-24       Impact factor: 15.419

Review 7.  Everything you wanted to know about Markov State Models but were afraid to ask.

Authors:  Vijay S Pande; Kyle Beauchamp; Gregory R Bowman
Journal:  Methods       Date:  2010-06-04       Impact factor: 3.608

8.  Curling of flap tips in HIV-1 protease as a mechanism for substrate entry and tolerance of drug resistance.

Authors:  W R Scott; C A Schiffer
Journal:  Structure       Date:  2000-12-15       Impact factor: 5.006

9.  Flap opening dynamics in HIV-1 protease explored with a coarse-grained model.

Authors:  Valentina Tozzini; Joanna Trylska; Chia-en Chang; J Andrew McCammon
Journal:  J Struct Biol       Date:  2006-08-23       Impact factor: 2.867

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  15 in total

1.  Extracting intrinsic dynamic parameters of biomolecular folding from single-molecule force spectroscopy experiments.

Authors:  Gi-Moon Nam; Dmitrii E Makarov
Journal:  Protein Sci       Date:  2015-07-14       Impact factor: 6.725

2.  Visualizing transient dark states by NMR spectroscopy.

Authors:  Nicholas J Anthis; G Marius Clore
Journal:  Q Rev Biophys       Date:  2015-02       Impact factor: 5.318

3.  Deciphering the Allosteric Process of the Phaeodactylum tricornutum Aureochrome 1a LOV Domain.

Authors:  Hao Tian; Francesco Trozzi; Brian D Zoltowski; Peng Tao
Journal:  J Phys Chem B       Date:  2020-10-01       Impact factor: 2.991

Review 4.  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

5.  Conservation of Dynamics Associated with Biological Function in an Enzyme Superfamily.

Authors:  Chitra Narayanan; David N Bernard; Khushboo Bafna; Donald Gagné; Chakra S Chennubhotla; Nicolas Doucet; Pratul K Agarwal
Journal:  Structure       Date:  2018-02-22       Impact factor: 5.006

Review 6.  Information flow and protein dynamics: the interplay between nuclear magnetic resonance spectroscopy and molecular dynamics simulations.

Authors:  Nina Pastor; Carlos Amero
Journal:  Front Plant Sci       Date:  2015-05-05       Impact factor: 5.753

7.  On the Application of Molecular-Dynamics Based Markov State Models to Functional Proteins.

Authors:  Robert D Malmstrom; Christopher T Lee; Adam Van Wart; Rommie E Amaro
Journal:  J Chem Theory Comput       Date:  2014-07-08       Impact factor: 6.006

8.  Activation pathway of Src kinase reveals intermediate states as targets for drug design.

Authors:  Diwakar Shukla; Yilin Meng; Benoît Roux; Vijay S Pande
Journal:  Nat Commun       Date:  2014-03-03       Impact factor: 14.919

9.  Molecular dynamics of the proline switch and its role in Crk signaling.

Authors:  Junchao Xia; Ronald M Levy
Journal:  J Phys Chem B       Date:  2014-04-16       Impact factor: 2.991

10.  Structural insight into SUMO chain recognition and manipulation by the ubiquitin ligase RNF4.

Authors:  Yingqi Xu; Anna Plechanovová; Peter Simpson; Jan Marchant; Orsolya Leidecker; Sebastian Kraatz; Ronald T Hay; Steve J Matthews
Journal:  Nat Commun       Date:  2014-06-27       Impact factor: 14.919

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