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dc.contributor.authorChu, YWen_US
dc.contributor.authorYang, JMen_US
dc.date.accessioned2014-12-08T15:40:09Z-
dc.date.available2014-12-08T15:40:09Z-
dc.date.issued2003-11-01en_US
dc.identifier.issn1016-2364en_US
dc.identifier.urihttp://hdl.handle.net/11536/27422-
dc.description.abstractProtein function is structurally determined, but analyzing the structure of a protein is both difficult and time-consuming. The authors look at the natural instincts of protein secondary structures, which used to be analyzed in terms of their statistical relationship with a single amino acid. Several schemas are offered for identifying regular patterns among various types of secondary protein structures. The schemas employ genetic algorithms based on a steady-state strategy. Two disjunctive data sets were used to verify fitness. The paper concludes with some illustrations of significant schemas produced as part of this study, with brief explanations of their significance.en_US
dc.language.isoen_USen_US
dc.subjectsecondary protein structureen_US
dc.subjectschemaen_US
dc.subjectsteady-state genetic algorithmen_US
dc.subjectrule extractionen_US
dc.subjectsequence alignmenten_US
dc.subjectsubstitution matrixen_US
dc.subjectvoting mechanismen_US
dc.subjectsequential patternen_US
dc.titleFinding regularity in various types of secondary protein structuresen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF INFORMATION SCIENCE AND ENGINEERINGen_US
dc.citation.volume19en_US
dc.citation.issue6en_US
dc.citation.spage943en_US
dc.citation.epage952en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000186810000004-
dc.citation.woscount2-
Appears in Collections:Articles


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