Literature DB >> 22125474

MSMBuilder2: Modeling Conformational Dynamics at the Picosecond to Millisecond Scale.

Kyle A Beauchamp1, Gregory R Bowman, Thomas J Lane, Lutz Maibaum, Imran S Haque, Vijay S Pande.   

Abstract

Markov State Models provide a framework for understanding the fundamental states and rates in the conformational dynamics of biomolecules. We describe an improved protocol for constructing Markov State Models from molecular dynamics simulations. The new protocol includes advances in clustering, data preparation, and model estimation; these improvements lead to significant increases in model accuracy, as assessed by the ability to recapitulate equilibrium and kinetic properties of reference systems. A high-performance implementation of this protocol, provided in MSMBuilder2, is validated on dynamics ranging from picoseconds to milliseconds.

Entities:  

Year:  2011        PMID: 22125474      PMCID: PMC3224091          DOI: 10.1021/ct200463m

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  33 in total

Review 1.  Protein structure determination in solution by NMR spectroscopy.

Authors:  K Wüthrich
Journal:  J Biol Chem       Date:  1990-12-25       Impact factor: 5.157

2.  Sub-microsecond protein folding.

Authors:  Jan Kubelka; Thang K Chiu; David R Davies; William A Eaton; James Hofrichter
Journal:  J Mol Biol       Date:  2006-03-31       Impact factor: 5.469

3.  Sequence-specific dynamics modulate recognition specificity in WW domains.

Authors:  Tao Peng; John S Zintsmaster; Andrew T Namanja; Jeffrey W Peng
Journal:  Nat Struct Mol Biol       Date:  2007-03-04       Impact factor: 15.369

4.  Coarse master equations for peptide folding dynamics.

Authors:  Nicolae-Viorel Buchete; Gerhard Hummer
Journal:  J Phys Chem B       Date:  2008-01-31       Impact factor: 2.991

5.  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

6.  Making connections between ultrafast protein folding kinetics and molecular dynamics simulations.

Authors:  Troy Cellmer; Marco Buscaglia; Eric R Henry; James Hofrichter; William A Eaton
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-24       Impact factor: 11.205

7.  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

8.  Protein folding intermediates: native-state hydrogen exchange.

Authors:  Y Bai; T R Sosnick; L Mayne; S W Englander
Journal:  Science       Date:  1995-07-14       Impact factor: 47.728

9.  Significance of root-mean-square deviation in comparing three-dimensional structures of globular proteins.

Authors:  V N Maiorov; G M Crippen
Journal:  J Mol Biol       Date:  1994-01-14       Impact factor: 5.469

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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  144 in total

1.  Investigating how peptide length and a pathogenic mutation modify the structural ensemble of amyloid beta monomer.

Authors:  Yu-Shan Lin; Gregory R Bowman; Kyle A Beauchamp; Vijay S Pande
Journal:  Biophys J       Date:  2012-01-18       Impact factor: 4.033

2.  Simple few-state models reveal hidden complexity in protein folding.

Authors:  Kyle A Beauchamp; Robert McGibbon; Yu-Shan Lin; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-09       Impact factor: 11.205

3.  Equilibrium fluctuations of a single folded protein reveal a multitude of potential cryptic allosteric sites.

Authors:  Gregory R Bowman; Phillip L Geissler
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-02       Impact factor: 11.205

4.  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

5.  Heat dissipation guides activation in signaling proteins.

Authors:  Jeffrey K Weber; Diwakar Shukla; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-03       Impact factor: 11.205

6.  Network representation of conformational transitions between hidden intermediates of Rd-apocytochrome b562.

Authors:  Mojie Duan; Hanzhong Liu; Minghai Li; Shuanghong Huo
Journal:  J Chem Phys       Date:  2015-10-07       Impact factor: 3.488

7.  Accelerating molecular simulations of proteins using Bayesian inference on weak information.

Authors:  Alberto Perez; Justin L MacCallum; Ken A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-08       Impact factor: 11.205

8.  First Passage Times, Lifetimes, and Relaxation Times of Unfolded Proteins.

Authors:  Wei Dai; Anirvan M Sengupta; Ronald M Levy
Journal:  Phys Rev Lett       Date:  2015-07-21       Impact factor: 9.161

9.  Quantifying hub-like behavior in protein folding networks.

Authors:  Alex Dickson; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2012       Impact factor: 6.006

10.  Allosteric Control of a Plant Receptor Kinase through S-Glutathionylation.

Authors:  Alexander S Moffett; Kyle W Bender; Steven C Huber; Diwakar Shukla
Journal:  Biophys J       Date:  2017-12-05       Impact factor: 4.033

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