Discriminative structural approaches for enzyme active-site prediction

BMC Bioinformatics

Volumn 12, Issue SUPPL. 1, 2011, Pages

  Kato, Tsuyoshi ^a,b,c   Nagano, Nozomi ^b  

^a GUNMA UNIVERSITY   (Japan)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ENZYME REACTION; LOCAL STRUCTURE; MULTIPLE TEMPLATES; PROTEIN SCIENCE; PROTEIN STRUCTURES; STRUCTURAL APPROACH; TEMPLATE ANALYSIS; TEMPLATE-BASED METHOD;

ENZYMES; LEARNING SYSTEMS; PROTEINS; LEARNING ALGORITHMS;

LEARNING ALGORITHMS; BIOINFORMATICS;

ENZYME;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; CHEMISTRY; ENZYME ACTIVE SITE; METHODOLOGY; PROTEIN CONFORMATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CATALYTIC DOMAIN; COMPUTATIONAL BIOLOGY; ENZYMES; PROTEIN CONFORMATION;

EID: 79951540390     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-S1-S49     Document Type: Article

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