DeepDDG: Predicting the Stability Change of Protein Point Mutations Using Neural Networks-Reference-Cited by-同舟云学术

DeepDDG: Predicting the Stability Change of Protein Point Mutations Using Neural Networks

Published:2019-02-14 Issue:4 Volume:59 Page:1508-1514
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Cao Huali¹,Wang Jingxue¹,He Liping¹,Qi Yifei¹²^ORCID,Zhang John Z.¹²³^ORCID

Affiliation:

1. Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China

2. NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China

3. Department of Chemistry, New York University, New York, New York 10003, United States

Funder

Shanghai Municipal Education Commission

National Natural Science Foundation of China

New York University

Ministry of Science and Technology of the People's Republic of China

Shanghai Putuo District

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.8b00697

Reference47 articles.

1. Protein stability: computation, sequence statistics, and new experimental methods

2. SDM--a server for predicting effects of mutations on protein stability and malfunction

3. Prediction of protein stability changes for single-site mutations using support vector machines

4. Predicting the Effect of Amino Acid Single-Point Mutations on Protein Stability—Large-Scale Validation of MD-Based Relative Free Energy Calculations

5. Predicting folding free energy changes upon single point mutations

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