An efficient method to predict protein thermostability in alanine mutation.

Ya Gao, Bo Wang, Shiyu Hu, Tong Zhu, John Z H Zhang

Journal: Physical chemistry chemical physics : PCCP 2022;24(48):29629-29639

PMID: 36449314

Abstract

The relationship between protein sequence and its thermodynamic stability is a critical aspect of computational protein design. In this work, we present a new theoretical method to calculate the free energy change (ΔΔ) resulting from a single-point amino acid mutation to alanine in a protein sequence. The method is derived based on physical interactions and is very efficient in estimating the free energy changes caused by a series of alanine mutations from just a single molecular dynamics (MD) trajectory. Numerical calculations are carried out on a total of 547 alanine mutations in 19 diverse proteins whose experimental results are available. The comparison between the experimental ΔΔ and the calculated values shows a generally good correlation with a correlation coefficient of 0.67. Both the advantages and limitations of this method are discussed. This method provides an efficient and valuable tool for protein design and engineering.

Address: School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China.; Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China. [email protected].; NYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China.; Shenzhen Institute of Synthetic Biology, Faculty of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

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