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dc.contributor.authorLu, Chih-Haoen_US
dc.contributor.authorYu, Chin-Shengen_US
dc.contributor.authorLin, Yu-Fengen_US
dc.contributor.authorChen, Jin-Yien_US
dc.date.accessioned2019-04-03T06:38:02Z-
dc.date.available2019-04-03T06:38:02Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn2314-6133en_US
dc.identifier.urihttp://dx.doi.org/10.1155/2015/402536en_US
dc.identifier.urihttp://hdl.handle.net/11536/124722-
dc.description.abstractWe developed a computational method to identify NAD- and FAD-binding sites in proteins. First, we extracted from the Protein Data Bank structures of proteins that bind to at least one of these ligands. NAD-/FAD-binding residue templates were then constructed by identifying binding residues through the ligand-binding database BioLiP. The fragment transformation method was used to identify structures within query proteins that resembled the ligand-binding templates. By comparing residue types and their relative spatial positions, potential binding sites were identified and a ligand-binding potential for each residue was calculated. Setting the false positive rate at 5%, our method predicted NAD- and FAD-binding sites at true positive rates of 67.1% and 68.4%, respectively. Our method provides excellent results for identifying FAD- and NAD-binding sites in proteins, and the most important is that the requirement of conservation of residue types and local structures in the FAD- and NAD-binding sites can be verified.en_US
dc.language.isoen_USen_US
dc.titlePredicting Flavin and Nicotinamide Adenine Dinucleotide-Binding Sites in Proteins Using the Fragment Transformation Methoden_US
dc.typeArticleen_US
dc.identifier.doi10.1155/2015/402536en_US
dc.identifier.journalBIOMED RESEARCH INTERNATIONALen_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000354301000001en_US
dc.citation.woscount0en_US
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