Quantifying the Sources of Kinetic Frustration in Folding Simulations of Small Proteins-Reference-Cited by-同舟云学术

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Quantifying the Sources of Kinetic Frustration in Folding Simulations of Small Proteins

Published:2014-06-24 Issue:8 Volume:10 Page:2964-2974
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Savol Andrej J.¹²,Chennubhotla Chakra S.¹

Affiliation:

1. Dept. of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States

2. Joint Carnegie Mellon University−University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, Pennsylvania 15260, United States

Funder

NIH Office of the Director

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/ct500361w

Reference95 articles.

1. Are there pathways for protein folding?

2. Principles that Govern the Folding of Protein Chains

3. On the simulation of protein folding by short time scale molecular dynamics and distributed computing

4. Atomistic protein folding simulations on the submillisecond time scale using worldwide distributed computing

5. How Fast-Folding Proteins Fold

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1. Visual Analytics for Deep Embeddings of Large Scale Molecular Dynamics Simulations;2019-11-04

2. Deep clustering of protein folding simulations;BMC Bioinformatics;2018-12

3. Complete Coupled Binding–Folding Pathway of the Intrinsically Disordered Transcription Factor Protein Brinker Revealed by Molecular Dynamics Simulations and Markov State Modeling;Biochemistry;2018-07-10

4. Deep clustering of protein folding simulations;2018-06-12

5. Structural-kinetic-thermodynamic relationships identified from physics-based molecular simulation models;The Journal of Chemical Physics;2018-05-28

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