Genome Informatics
Online ISSN : 2185-842X
Print ISSN : 0919-9454
ISSN-L : 0919-9454
タンパク質のアイデンティティをモチーフにより決める試み
瀬戸 保彦池内 義典川北 栄継西川 建金久 實
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ジャーナル フリー

1992 年 3 巻 p. 73-76

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We propose a semi-automatic method to classify protein seqeunces into superfamilies. The method is a combination of the global sequence homology search and the local sequence identifier. The former is performed by a pairwise homology search method developed by Nishikawa et al (2), which jointed five different measures to improve sensitivity for detecting seqeunce similarity. The latter is done by applying the fragment peptide library (FRAP) compiled by Seto et al (3). We evaluate our method by applying it to 89 superfamilies in the PIR database. Out of 89 superfamilies, 65 superfamilies are classified by the combination method. We find that 20 superfamilies are multi-superfamilies: Different superfamilies belong to a same group by our criteria. We find difficulty to classify 4 superfamilies.
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© 日本バイオインフォマティクス学会
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