Markov State Models to Study the Functional Dynamics of Proteins in the Wake of Machine Learning-Reference-Cited by-同舟云学术

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Markov State Models to Study the Functional Dynamics of Proteins in the Wake of Machine Learning

Published:2021-08-04 Issue:9 Volume:1 Page:1330-1341
ISSN:2691-3704
Container-title:JACS Au
language:en
Short-container-title:JACS Au

Author:

Konovalov Kirill A.¹²,Unarta Ilona Christy³²,Cao Siqin¹²,Goonetilleke Eshani C.¹²^ORCID,Huang Xuhui¹³²^ORCID

Affiliation:

1. Department of Chemistry, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Kowloon, Hong Kong

2. Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong

3. Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong

Funder

Research Grants Council, University Grants Committee

Publisher

American Chemical Society (ACS)

Subject

General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/jacsau.1c00254

Reference102 articles.

1. Dynamic personalities of proteins

2. Global Dynamics of Proteins: Bridging Between Structure and Function

3. Protein Ensembles: How Does Nature Harness Thermodynamic Fluctuations for Life? The Diverse Functional Roles of Conformational Ensembles in the Cell

4. SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome

5. Millisecond dynamics of RNA polymerase II translocation at atomic resolution

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