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dc.contributor.authorHuang, Liang-Tsungen_US
dc.contributor.authorGromiha, M. Michaelen_US
dc.contributor.authorHo, Shinn-Yingen_US
dc.date.accessioned2014-12-08T15:14:02Z-
dc.date.available2014-12-08T15:14:02Z-
dc.date.issued2007-05-15en_US
dc.identifier.issn1367-4803en_US
dc.identifier.urihttp://dx.doi.org/10.1093/bioinformatics/btm100en_US
dc.identifier.urihttp://hdl.handle.net/11536/10796-
dc.description.abstractWe 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.en_US
dc.language.isoen_USen_US
dc.titleiPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutationsen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/bioinformatics/btm100en_US
dc.identifier.journalBIOINFORMATICSen_US
dc.citation.volume23en_US
dc.citation.issue10en_US
dc.citation.spage1292en_US
dc.citation.epage1293en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000247348300016-
dc.citation.woscount53-
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