Literature DB >> 9051729

Prediction of the stability of protein mutants based on structural environment-dependent amino acid substitution and propensity tables.

C M Topham1, N Srinivasan, T L Blundell.   

Abstract

An approach to the prediction of mutant stability is described using knowledge of amino acid replacements that are tolerated within the families of homologous proteins of known 3-D structure. Amino acid variations in families of homologous proteins are converted to propensity and substitution tables; these provide quantitative information about the existence of an amino acid in a structural environment and the probability of replacement by any other amino acid. The tables are used to calculate a 'stability difference score', analogous to the difference in free energy between a mutant and the wild type. The method has been developed and tested using the high-resolution structures for T4 lysozyme and 159 site-specific mutants. We show that differences in stability scores are correlated with experimentally observed free energy differences and differences in melting temperature. Blind tests, using only structural information derived from the parent wild-type crystal structures, on a combined set of 83 staphylococcal nuclease and 68 barnase mutants showed a correlation of 0.80 in the predicted stability changes with experimental thermodynamic data. Approximately 86% of the predictions were correctly classified as destabilizing or stabilizing.

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Year:  1997        PMID: 9051729     DOI: 10.1093/protein/10.1.7

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  67 in total

1.  Interatomic potentials and solvation parameters from protein engineering data for buried residues.

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2.  Predicting folding free energy changes upon single point mutations.

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3.  Prediction of protein thermostability with a direction- and distance-dependent knowledge-based potential.

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Journal:  Protein Sci       Date:  2005-09-09       Impact factor: 6.725

4.  Exceptionally potent and broadly cross-reactive, bispecific multivalent HIV-1 inhibitors based on single human CD4 and antibody domains.

Authors:  Weizao Chen; Yang Feng; Ponraj Prabakaran; Tianlei Ying; Yanping Wang; Jianping Sun; Camila D S Macedo; Zhongyu Zhu; Yuxian He; Victoria R Polonis; Dimiter S Dimitrov
Journal:  J Virol       Date:  2013-11-06       Impact factor: 5.103

5.  Meet me halfway: when genomics meets structural bioinformatics.

Authors:  Sungsam Gong; Catherine L Worth; Tammy M K Cheng; Tom L Blundell
Journal:  J Cardiovasc Transl Res       Date:  2011-02-25       Impact factor: 4.132

Review 6.  Computational approaches for predicting mutant protein stability.

Authors:  Shweta Kulshreshtha; Vigi Chaudhary; Girish K Goswami; Nidhi Mathur
Journal:  J Comput Aided Mol Des       Date:  2016-05-09       Impact factor: 3.686

7.  Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning.

Authors:  Arun Prasad Pandurangan; Tom L Blundell
Journal:  Protein Sci       Date:  2019-11-25       Impact factor: 6.725

8.  The crystal structure of the N-terminal region of BUB1 provides insight into the mechanism of BUB1 recruitment to kinetochores.

Authors:  Victor M Bolanos-Garcia; Tomomi Kiyomitsu; Sheena D'Arcy; Dimitri Y Chirgadze; J Günter Grossmann; Dijana Matak-Vinkovic; Ashok R Venkitaraman; Mitsuhiro Yanagida; Carol V Robinson; Tom L Blundell
Journal:  Structure       Date:  2009-01-14       Impact factor: 5.006

9.  Structural and functional implications of p53 missense cancer mutations.

Authors:  Yuhong Tan; Ray Luo
Journal:  PMC Biophys       Date:  2009-06-26

10.  Mixed lineage kinase 3 gene mutations in mismatch repair deficient gastrointestinal tumours.

Authors:  Sérgia Velho; Carla Oliveira; Joana Paredes; Sónia Sousa; Marina Leite; Paulo Matos; Fernanda Milanezi; Ana Sofia Ribeiro; Nuno Mendes; Danilo Licastro; Auli Karhu; Maria José Oliveira; Marjolijn Ligtenberg; Richard Hamelin; Fátima Carneiro; Annika Lindblom; Paivi Peltomaki; Sérgio Castedo; Simó Schwartz; Peter Jordan; Lauri A Aaltonen; Robert M W Hofstra; Gianpaolo Suriano; Elia Stupka; Arsenio M Fialho; Raquel Seruca
Journal:  Hum Mol Genet       Date:  2009-12-02       Impact factor: 6.150

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