MPTherm-pred: Analysis and Prediction of Thermal Stability Changes upon Mutations in Transmembrane Proteins

被引:14
|
作者
Kulandaisamy, A. [1 ]
Zaucha, Jan [2 ]
Frishman, Dmitrij [2 ,3 ]
Gromiha, M. Michael [1 ]
机构
[1] Indian Inst Technol Madras, Dept Biotechnol, Bhupat & Jyoti Mehta Sch BioSci, Chennai 600036, Tamil Nadu, India
[2] Tech Univ Munich, Dept Bioinformat, Wissenschaftszentrum Weihenstephan, Freising Weihenstephan, Germany
[3] Peter Great St Petersburg Polytech Univ, Dept Bioinformat, St Petersburg, Russia
关键词
membrane proteins; thermal stability; missense mutations; stabilizing and destabilizing; disease-causing mutations; WEB SERVER; MEMBRANE-PROTEINS; CONTACT ORDER; FOLDING RATE; SEQUENCE; DATABASE; RATES; SDM;
D O I
10.1016/j.jmb.2020.09.005
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The stability of membrane proteins differs from globular proteins due to the presence of nonpolar membrane-spanning regions. Using a dataset of 929 membrane protein mutations whose effects on thermal stability (Delta T-m) were experimentally determined, we found that the average Delta T-m due to 190 stabilizing and 232 destabilizing mutations occurring in membrane-spanning regions are 2.43(3.1) degrees C and -5.48 (5.5) degrees C, respectively. The Delta T-m values for mutations occurring in solvent-exposed regions are 2.56 (2.82) and -6.8(7.2) degrees C. We have systematically analyzed the factors influencing the stability of mutants and observed that changes in hydrophobicity, number of contacts between C alpha atoms and frequency of aliphatic residues are important determinants of the stability change induced by mutations occurring in membrane-spanning regions. We have developed structure- and sequence-based machine learning predictors of Delta T-m due to mutations specifically for membrane proteins. They showed a correlation and mean absolute error (MAE) of 0.72 and 2.85 degrees C, respectively, between experimental and predicted Delta T-m for mutations in membrane-spanning regions on 10-fold group-wise cross-validation. The average correlation and MAE for mutations in aqueous regions are 0.73 and 3.7 degrees C, respectively. These MAE values are about 50% lower than standard deviations from the mean Delta T-m values. The reliability of the method was affirmed on a test set of mutations occurring in evolutionary independent protein sequences. The developed MPTherm-pred server for predicting thermal stability changes upon mutations in membrane proteins is available at https://web.iitm.ac.in/bioinfo2/mpthermpred/. Our results provide insights into factors influencing the stability of membrane proteins and can aid in designing mutants that are more resistant to thermal stress. (C) 2020 Elsevier Ltd. All rights reserved.
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页数:11
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