Jointly handling potency and toxicity of antimicrobial peptidomimetics by simple rules from desirability theory and chemoinformatics

Journal of Chemical Information and Modeling

Volumn 51, Issue 12, 2011, Pages 3060-3077

  Cruz Monteagudo, Maykel ^a,b   Borges, Fernanda ^a   Cordeiro, M Natália D S ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b CENTRAL UNIVERSITY OF LAS VILLAS   (Cuba)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBIOTICS; FORECASTING; HEALTH RISKS; LEARNING SYSTEMS; PEPTIDES; TOXICITY;

ANTIMICROBIAL PEPTIDE; INDEPENDENT CLASSIFIERS; MACHINE LEARNING TECHNIQUES; MULTI-CRITERIA CLASSIFICATION; PREDICTION ACCURACY; RESISTANCE TO ANTIBIOTICS; SAFETY REQUIREMENTS; VIRTUAL SCREENING STRATEGIES;

MICROORGANISMS;

ANTIINFECTIVE AGENT; PEPTIDOMIMETIC AGENT;

ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; CHEMISTRY; DRUG DESIGN; DRUG EFFECT; GRAM NEGATIVE BACTERIUM; HEMOLYSIS; HUMAN; METABOLISM; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

ANTI-INFECTIVE AGENTS; ARTIFICIAL INTELLIGENCE; DRUG DESIGN; GRAM-NEGATIVE BACTERIA; HEMOLYSIS; HUMANS; MODELS, BIOLOGICAL; PEPTIDOMIMETICS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84555177568     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci2002186     Document Type: Article

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