Enspara: Modeling molecular ensembles with scalable data structures and parallel computing-Reference-Cited by-同舟云学术

Enspara: Modeling molecular ensembles with scalable data structures and parallel computing

Published:2019-01-28 Issue:4 Volume:150 Page:044108
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:J. Chem. Phys.

Author:

Porter J. R.¹^ORCID,Zimmerman M. I.¹,Bowman G. R.¹^ORCID

Affiliation:

1. Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, Missouri 63110, USA

Funder

National Science Foundation

National Institute of General Medical Sciences

Burroughs Wellcome Fund

David and Lucile Packard Foundation

Monsanto Fund

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://aip.scitation.org/doi/am-pdf/10.1063/1.5063794

Reference68 articles.

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

2. Markov models of molecular kinetics: Generation and validation

3. Markov State Models: From an Art to a Science

4. Long‐Time Protein Folding Dynamics from Short‐Time Molecular Dynamics Simulations

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