Artificial neural network applied to prediction of fluorquinolone antibacterial activity by topological methods

Journal of Medicinal Chemistry

Volumn 43, Issue 6, 2000, Pages 1143-1148

  Jaén Oltra, José ^a   Salabert Salvador, Ma Teresa ^a   García March, Francisco J ^a   Pérez Giménez, Facundo ^a   Tomás Vert, Francisco ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

QUINOLINE DERIVED ANTIINFECTIVE AGENT;

ALGORITHM; ANALYTIC METHOD; ANTIBACTERIAL ACTIVITY; ANTIMICROBIAL ACTIVITY; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; MINIMUM INHIBITORY CONCENTRATION; MOLECULAR RECOGNITION; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

ALGORITHMS; ANTI-INFECTIVE AGENTS; FLUOROQUINOLONES; MICROBIAL SENSITIVITY TESTS; NEURAL NETWORKS (COMPUTER); STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 0342696167     PISSN: 00222623     EISSN: None     Source Type: Journal    
DOI: 10.1021/jm980448z     Document Type: Article

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