標題: iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations
作者: Huang, Liang-Tsung
Gromiha, M. Michael
Ho, Shinn-Ying
生物科技學系
生物資訊及系統生物研究所
Department of Biological Science and Technology
Institude of Bioinformatics and Systems Biology
公開日期: 15-五月-2007
摘要: We have developed a web server, iPTREE-STAB for discriminating the stability of proteins (stabilizing or destabilizing) and predicting their stability changes (AAG) upon single amino acid substitutions from amino acid sequence. The discrimination and prediction are mainly based on decision tree coupled with adaptive boosting algorithm, and classification and regression tree, respectively, using three neighboring residues of the mutant sit. along N- and C-terminals. Our method showed an accuracy of 82% for discriminating the stabilizing and destabilizing mutants, and a correlation of 0.70 for predicting protein stability changes upon mutations.
URI: http://dx.doi.org/10.1093/bioinformatics/btm100
http://hdl.handle.net/11536/10796
ISSN: 1367-4803
DOI: 10.1093/bioinformatics/btm100
期刊: BIOINFORMATICS
Volume: 23
Issue: 10
起始頁: 1292
結束頁: 1293
顯示於類別:期刊論文


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  1. 000247348300016.pdf