iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations
We have developed a web server, iPTREE-STAB for discriminating the stability of proteins (stabilizing or destabilizing) and predicting their stability changes (ΔΔG) upon single amino acid substitutions from amino acid sequence. The discrimination and prediction are mainly based on decision tree coup...
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Veröffentlicht in: | Bioinformatics 2007-05, Vol.23 (10), p.1292-1293 |
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Sprache: | eng |
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Zusammenfassung: | We have developed a web server, iPTREE-STAB for discriminating the stability of proteins (stabilizing or destabilizing) and predicting their stability changes (ΔΔG) 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 site 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.
Availability:
http://bioinformatics.myweb.hinet.net/iptree.htm
Contact:
michael-gromiha@aist.go.jp
Supplementary information: Dataset and other details are given. |
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ISSN: | 1367-4803 1367-4811 1460-2059 |
DOI: | 10.1093/bioinformatics/btm100 |