Accurately Predicting Mutation-Caused Stability Changes from Protein Sequences Using Extreme Gradient Boosting-Reference-Cited by-同舟云学术

Accurately Predicting Mutation-Caused Stability Changes from Protein Sequences Using Extreme Gradient Boosting

Published:2020-03-23 Issue:4 Volume:60 Page:2388-2395
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Lv Xuan¹^ORCID,Chen Jianwen²^ORCID,Lu Yutong²,Chen Zhiguang²,Xiao Nong¹²,Yang Yuedong²³^ORCID

Affiliation:

1. State Key Laboratory of High-Performance Computing, School of Computer Science, National University of Defense Technology, Changsha, Hunan 410073, China

2. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, Guangdong 510275, China

3. Key Laboratory of Machine Intelligence and Advanced Computing, Sun Yat-sen University, Ministry of Education, Guangzhou, Guangdong 510275, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Introducing Innovative and Entrepreneurial Teams

Guangdong Frontier & Key Tech Innovation Program

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.0c00064

Reference45 articles.

1. Evolution and Functional Impact of Rare Coding Variation from Deep Sequencing of Human Exomes

2. Stability effects of mutations and protein evolvability

3. The Effects of Non-Synonymous Single Nucleotide Polymorphisms (nsSNPs) on Protein–Protein Interactions

4. ProTherm and ProNIT: thermodynamic databases for proteins and protein-nucleic acid interactions

5. Predicting free energy changes using structural ensembles

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