DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dong Su Yu | - |
dc.contributor.author | Dae Hee Lee | - |
dc.contributor.author | Seong Keun Kim | - |
dc.contributor.author | C H Lee | - |
dc.contributor.author | J Y Song | - |
dc.contributor.author | E B Kong | - |
dc.contributor.author | Jihyun Kim | - |
dc.date.accessioned | 2017-04-19T09:30:44Z | - |
dc.date.available | 2017-04-19T09:30:44Z | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 1017-7825 | - |
dc.identifier.uri | 10.4014/jmb.1203.03050 | ko |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/10754 | - |
dc.description.abstract | In 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.publisher | Korea Soc-Assoc-Inst | - |
dc.title | Algorithm for predicting functionally equivalent proteins from BLAST and HMMER searches = BLAST와 HMMER 결과로부터 기능적으로 동일한 단백질을 예측하는 알고리즘 | - |
dc.title.alternative | Algorithm for predicting functionally equivalent proteins from BLAST and HMMER searches | - |
dc.type | Article | - |
dc.citation.title | Journal of Microbiology and Biotechnology | - |
dc.citation.number | 8 | - |
dc.citation.endPage | 1058 | - |
dc.citation.startPage | 1054 | - |
dc.citation.volume | 22 | - |
dc.contributor.affiliatedAuthor | Dong Su Yu | - |
dc.contributor.affiliatedAuthor | Dae Hee Lee | - |
dc.contributor.affiliatedAuthor | Seong Keun Kim | - |
dc.contributor.affiliatedAuthor | Jihyun Kim | - |
dc.contributor.alternativeName | 유동수 | - |
dc.contributor.alternativeName | 이대희 | - |
dc.contributor.alternativeName | 김성근 | - |
dc.contributor.alternativeName | 이충훈 | - |
dc.contributor.alternativeName | 송주연 | - |
dc.contributor.alternativeName | 공은배 | - |
dc.contributor.alternativeName | 김지현 | - |
dc.identifier.bibliographicCitation | Journal of Microbiology and Biotechnology, vol. 22, no. 8, pp. 1054-1058 | - |
dc.identifier.doi | 10.4014/jmb.1203.03050 | - |
dc.subject.keyword | Artificial neural network | - |
dc.subject.keyword | Bioinformatics | - |
dc.subject.keyword | Error back-propagation algorithm | - |
dc.subject.keyword | Functionally equivalent protein | - |
dc.subject.keyword | Sequence-based method | - |
dc.subject.local | Artificial neural network | - |
dc.subject.local | Bioinformatics | - |
dc.subject.local | bioinformatics | - |
dc.subject.local | Bioinfromatics | - |
dc.subject.local | Bioinformratics | - |
dc.subject.local | Bioinformatibs | - |
dc.subject.local | Error back-propagation algorithm | - |
dc.subject.local | Functionally equivalent protein | - |
dc.subject.local | Sequence-based method | - |
dc.description.journalClass | Y | - |
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