Literature DB >> 29742397

ANCA: Anharmonic Conformational Analysis of Biomolecular Simulations.

Akash Parvatikar1, Gabriel S Vacaliuc2, Arvind Ramanathan2, S Chakra Chennubhotla3.   

Abstract

Anharmonicity in time-dependent conformational fluctuations is noted to be a key feature of functional dynamics of biomolecules. Although anharmonic events are rare, long-timescale (μs-ms and beyond) simulations facilitate probing of such events. We have previously developed quasi-anharmonic analysis to resolve higher-order spatial correlations and characterize anharmonicity in biomolecular simulations. In this article, we have extended this toolbox to resolve higher-order temporal correlations and built a scalable Python package called anharmonic conformational analysis (ANCA). ANCA has modules to: 1) measure anharmonicity in the form of higher-order statistics and its variation as a function of time, 2) output a storyboard representation of the simulations to identify key anharmonic conformational events, and 3) identify putative anharmonic conformational substates and visualization of transitions between these substates.
Copyright © 2018 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29742397      PMCID: PMC5961460          DOI: 10.1016/j.bpj.2018.03.021

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


  17 in total

1.  Atomic-level characterization of the structural dynamics of proteins.

Authors:  David E Shaw; Paul Maragakis; Kresten Lindorff-Larsen; Stefano Piana; Ron O Dror; Michael P Eastwood; Joseph A Bank; John M Jumper; John K Salmon; Yibing Shan; Willy Wriggers
Journal:  Science       Date:  2010-10-15       Impact factor: 47.728

2.  MDTraj: A Modern Open Library for the Analysis of Molecular Dynamics Trajectories.

Authors:  Robert T McGibbon; Kyle A Beauchamp; Matthew P Harrigan; Christoph Klein; Jason M Swails; Carlos X Hernández; Christian R Schwantes; Lee-Ping Wang; Thomas J Lane; Vijay S Pande
Journal:  Biophys J       Date:  2015-10-20       Impact factor: 4.033

3.  Reaction coordinates and rates from transition paths.

Authors:  Robert B Best; Gerhard Hummer
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-06       Impact factor: 11.205

Review 4.  Protein conformational populations and functionally relevant substates.

Authors:  Arvind Ramanathan; Andrej Savol; Virginia Burger; Chakra S Chennubhotla; Pratul K Agarwal
Journal:  Acc Chem Res       Date:  2013-08-29       Impact factor: 22.384

5.  Event detection and sub-state discovery from biomolecular simulations using higher-order statistics: application to enzyme adenylate kinase.

Authors:  Arvind Ramanathan; Andrej J Savol; Pratul K Agarwal; Chakra S Chennubhotla
Journal:  Proteins       Date:  2012-08-08

6.  Anisotropy and anharmonicity of atomic fluctuations in proteins: analysis of a molecular dynamics simulation.

Authors:  T Ichiye; M Karplus
Journal:  Proteins       Date:  1987

7.  MDAnalysis: a toolkit for the analysis of molecular dynamics simulations.

Authors:  Naveen Michaud-Agrawal; Elizabeth J Denning; Thomas B Woolf; Oliver Beckstein
Journal:  J Comput Chem       Date:  2011-04-15       Impact factor: 3.376

8.  Dihedral angle principal component analysis of molecular dynamics simulations.

Authors:  Alexandros Altis; Phuong H Nguyen; Rainer Hegger; Gerhard Stock
Journal:  J Chem Phys       Date:  2007-06-28       Impact factor: 3.488

9.  Quantifying Correlations Between Allosteric Sites in Thermodynamic Ensembles.

Authors:  Christopher L McClendon; Gregory Friedland; David L Mobley; Homeira Amirkhani; Matthew P Jacobson
Journal:  J Chem Theory Comput       Date:  2009-09-08       Impact factor: 6.006

10.  Discovering conformational sub-states relevant to protein function.

Authors:  Arvind Ramanathan; Andrej J Savol; Christopher J Langmead; Pratul K Agarwal; Chakra S Chennubhotla
Journal:  PLoS One       Date:  2011-01-28       Impact factor: 3.240

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