Can 'bacterial-metabolite-likeness' model improve odds of 'in silico' antibiotic discovery?

Journal of Chemical Information and Modeling

Volumn 46, Issue 3, 2006, Pages 1214-1222

  Cherkasov, Artem ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBIOTICS; DRUG PRODUCTS; MATHEMATICAL MODELS; METABOLITES; NEURAL NETWORKS; STRUCTURE (COMPOSITION);

ANTIMICROBIAL COMPOUNDS; BACTERIAL METABOLISM; INDUCTIVE PARAMETERS; QSAR MODELS;

BACTERIA;

ANTIINFECTIVE AGENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIUM; CHEMISTRY; METABOLISM; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

ANTI-BACTERIAL AGENTS; BACTERIA; NEURAL NETWORKS (COMPUTER); QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 33745333814     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci050480j     Document Type: Article

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