Genome Informatics
Online ISSN : 2185-842X
Print ISSN : 0919-9454
ISSN-L : 0919-9454
Discovering Functional Sites of Amino Acid Sequences Using Sorted Variable Generalization
Takashi IshikawaShigeki MitakuTakao TeranoMakiko SuwaTakatsugu Hirokawa
著者情報
ジャーナル フリー

1996 年 7 巻 p. 178-179

詳細
抄録
This research develops a method for discovering functional sites of amino acid sequences using an Inductive Logic Programming (ILP) method with sorted variable generalization. Functional sites provide clues to building a knowledge base for prediction of protein functions from amino acid sequences. The proposed method generates hypotheses of functional sites directly from aligned amino acid sequences using an ILP method extended with sorted variable generalization. The proposed method is shown to be useful for discovering functional sites by an example application to the case of bacteriorhodopsin-like proteins.
著者関連情報
© Japanese Society for Bioinformatics
前の記事 次の記事
feedback
Top