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dc.contributor.authorHorng, JTen_US
dc.contributor.authorHuang, HDen_US
dc.contributor.authorWang, SHen_US
dc.contributor.authorChen, MYen_US
dc.contributor.authorHuang, SLen_US
dc.contributor.authorHwang, JKen_US
dc.date.accessioned2014-12-08T15:40:03Z-
dc.date.available2014-12-08T15:40:03Z-
dc.date.issued2003-12-01en_US
dc.identifier.issn0192-8651en_US
dc.identifier.urihttp://dx.doi.org/10.1002/jcc.10332en_US
dc.identifier.urihttp://hdl.handle.net/11536/27359-
dc.description.abstractProtein motifs, which are specific regions and conserved regions, are found by comparing multiple protein sequences. These conserved regions in general play an important role in protein functions and protein folds, for example, for their binding properties or enzymatic activities. The aim here is to find the existence correlations of protein motifs. The knowledge of protein motif/domain sharing should be important in shedding new light on the biologic functions of proteins and offering a basis in analyzing the evolution in the human genome or other genomes. The protein sequences used here are obtained from the PIR-NREF database and the protein motifs are retrieved from the PROSITE database. We apply data mining approach to discover the occurrence correlations of motif in protein sequences. The correlation of motifs mined can be used in evolution analyses and protein structure prediction. We discuss the latter, i.e., protein structure prediction in this study. The correlations mined are stored and maintained in a database system. The database is now available at http://bioinfo.csie.ncu.edu.tw/ProMotif/. (C) 2003 Wiley Periodicals, Inc.en_US
dc.language.isoen_USen_US
dc.subjectproteinen_US
dc.subjectmotifen_US
dc.subjectstructural genomicsen_US
dc.subjectdata miningen_US
dc.subjectdatabaseen_US
dc.titleComputing motif correlations in proteinsen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/jcc.10332en_US
dc.identifier.journalJOURNAL OF COMPUTATIONAL CHEMISTRYen_US
dc.citation.volume24en_US
dc.citation.issue16en_US
dc.citation.spage2032en_US
dc.citation.epage2043en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.identifier.wosnumberWOS:000186375200008-
dc.citation.woscount1-
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