Algorithm for predicting functionally equivalent proteins from BLAST and HMMER searches = BLAST와 HMMER 결과로부터 기능적으로 동일한 단백질을 예측하는 알고리즘

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dc.contributor.authorDong Su Yu-
dc.contributor.authorDae Hee Lee-
dc.contributor.authorSeong Keun Kim-
dc.contributor.authorC H Lee-
dc.contributor.authorJ Y Song-
dc.contributor.authorE B Kong-
dc.contributor.authorJihyun Kim-
dc.date.accessioned2017-04-19T09:30:44Z-
dc.date.available2017-04-19T09:30:44Z-
dc.date.issued2012-
dc.identifier.issn1017-7825-
dc.identifier.uri10.4014/jmb.1203.03050ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/10754-
dc.description.abstractIn order to predict biologically significant attributes such as function from protein sequences, searching against large databases for homologous proteins is a common practice. In particular, BLAST and HMMER are widely used in a variety of biological fields. However, sequence-homologous proteins determined by BLAST and proteins having the same domains predicted by HMMER are not always functionally equivalent, even though their sequences are aligning with high similarity. Thus, accurate assignment of functionally equivalent proteins from aligned sequences remains a challenge in bioinformatics. We have developed the FEP-BH algorithm to predict functionally equivalent proteins from protein-protein pairs identified by BLAST and from protein-domain pairs predicted by HMMER. When examined against domain classes of the Pfam-A seed database, FEP-BH showed 71.53% accuracy, whereas BLAST and HMMER were 57.72% and 36.62%, respectively. We expect that the FEP-BH algorithm will be effective in predicting functionally equivalent proteins from BLAST and HMMER outputs and will also suit biologists who want to search out functionally equivalent proteins from among sequence-homologous proteins.-
dc.publisherKorea Soc-Assoc-Inst-
dc.titleAlgorithm for predicting functionally equivalent proteins from BLAST and HMMER searches = BLAST와 HMMER 결과로부터 기능적으로 동일한 단백질을 예측하는 알고리즘-
dc.title.alternativeAlgorithm for predicting functionally equivalent proteins from BLAST and HMMER searches-
dc.typeArticle-
dc.citation.titleJournal of Microbiology and Biotechnology-
dc.citation.number8-
dc.citation.endPage1058-
dc.citation.startPage1054-
dc.citation.volume22-
dc.contributor.affiliatedAuthorDong Su Yu-
dc.contributor.affiliatedAuthorDae Hee Lee-
dc.contributor.affiliatedAuthorSeong Keun Kim-
dc.contributor.affiliatedAuthorJihyun Kim-
dc.contributor.alternativeName유동수-
dc.contributor.alternativeName이대희-
dc.contributor.alternativeName김성근-
dc.contributor.alternativeName이충훈-
dc.contributor.alternativeName송주연-
dc.contributor.alternativeName공은배-
dc.contributor.alternativeName김지현-
dc.identifier.bibliographicCitationJournal of Microbiology and Biotechnology, vol. 22, no. 8, pp. 1054-1058-
dc.identifier.doi10.4014/jmb.1203.03050-
dc.subject.keywordArtificial neural network-
dc.subject.keywordBioinformatics-
dc.subject.keywordError back-propagation algorithm-
dc.subject.keywordFunctionally equivalent protein-
dc.subject.keywordSequence-based method-
dc.subject.localArtificial neural network-
dc.subject.localBioinformatics-
dc.subject.localbioinformatics-
dc.subject.localBioinfromatics-
dc.subject.localBioinformratics-
dc.subject.localBioinformatibs-
dc.subject.localError back-propagation algorithm-
dc.subject.localFunctionally equivalent protein-
dc.subject.localSequence-based method-
dc.description.journalClassY-
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Synthetic Biology and Bioengineering Research Institute > Synthetic Biology Research Center > 1. Journal Articles
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