Discovering Functional Sites of Amino Acid Sequences Using Sorted Variable Generalization

• Ishikawa Takashi

  Kisarazu National College of Technology

• Mitaku Shigeki

  Tokyo University of Agriculture and Technology

• Terano Takao

  University of Tsukuba

• Suwa Makiko

  Tokyo University of Agriculture and Technology

• Hirokawa Takatsugu

  Tokyo University of Agriculture and Technology

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.

収録刊行物

• Ｇｅｎｏｍｅ　Ｉｎｆｏｒｍａｔｉｃｓ

  Ｇｅｎｏｍｅ　Ｉｎｆｏｒｍａｔｉｃｓ 7 178-179, 1996

  日本バイオインフォマティクス学会

詳細情報

• CRID: 1390282679467499264
• NII論文ID: 130003812315
• DOI: 10.11234/gi1990.7.178
• ISSN: 2185842X
• ISSN: 09199454
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可