An efficient method to predict protein thermostability in alanine mutation-Reference-Cited by-同舟云学术

An efficient method to predict protein thermostability in alanine mutation

Published:2022 Issue:48 Volume:24 Page:29629-29639
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Gao Ya¹^ORCID,Wang Bo²,Hu Shiyu³,Zhu Tong²³^ORCID,Zhang John Z. H.²³⁴

Affiliation:

1. School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China

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

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

4. Shenzhen Institute of Synthetic Biology, Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

Abstract

An efficient method to predict protein thermostability in alanine mutation was proposed.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2022/CP/D2CP04236C

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5. Principles that Govern the Folding of Protein Chains