Predicting biodegradation products and pathways: A hybrid knowledge- and machine learning-based approach

Bioinformatics

Volumn 26, Issue 6, 2010, Pages 814-821

  Wicker, Jörg ^a   Fenner, Kathrin ^b,c   Ellis, Lynda ^d   Wackett, Larry ^e   Kramer, Stefan ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

^c ETH ZURICH   (Switzerland)

^d UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^e UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; BIOREMEDIATION; BIOTRANSFORMATION; FACTUAL DATABASE; METHODOLOGY;

ARTIFICIAL INTELLIGENCE; BIODEGRADATION, ENVIRONMENTAL; BIOTRANSFORMATION; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL;

EID: 77951940379     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btq024     Document Type: Article

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