Unified QSAR approach to antimicrobials. Part 2: Predicting activity against more than 90 different species in order to halt antibacterial resistance

Bioorganic and Medicinal Chemistry

Volumn 15, Issue 2, 2007, Pages 897-902

  Prado Prado, Francisco J ^a   González Díaz, Humberto ^a   Santana, Lourdes ^a   Uriarte, Eugenio ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

Antibacterial drugs; Markov model; Molecular descriptors; QSAR; Staphylococcus; Stochastic matrix; Streptococcus

Indexed keywords

ANTIINFECTIVE AGENT;

ANTIBACTERIAL ACTIVITY; ANTIBIOTIC RESISTANCE; ARTICLE; DISCRIMINANT ANALYSIS; DRUG CLASSIFICATION; MEDICAL LITERATURE; PROBABILITY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL MODEL; VALIDATION PROCESS;

ALGORITHMS; ANTI-BACTERIAL AGENTS; BACTERIA; BACTERIAL INFECTIONS; CHEMISTRY, PHYSICAL; DRUG RESISTANCE, BACTERIAL; MARKOV CHAINS; MODELS, STATISTICAL; PREDICTIVE VALUE OF TESTS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; ROC CURVE;

BACTERIA (MICROORGANISMS); STAPHYLOCOCCUS; STREPTOCOCCUS;

EID: 33845316136     PISSN: 09680896     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bmc.2006.10.039     Document Type: Article

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