Unveiling Switching Function of Amino Acids in Proteins Using a Machine Learning Approach-Reference-Cited by-同舟云学术

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Unveiling Switching Function of Amino Acids in Proteins Using a Machine Learning Approach

Published:2023-11-07 Issue:22 Volume:19 Page:8472-8480
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Mollaei Parisa¹^ORCID,Barati Farimani Amir¹²³^ORCID

Affiliation:

1. Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States

2. Department of Biomedical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States

3. Machine Learning Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States

Funder

Carnegie Mellon University

Center for Machine Learning and Health, School of Computer Science, Carnegie Mellon University

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.3c00665

Reference77 articles.

1. Protein dynamics and allostery: an NMR view

2. Protein dynamics and motions in relation to their functions: several case studies and the underlying mechanisms

3. Molecular dynamics simulations of protein dynamics and their relevance to drug discovery

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