Chemoinformatics for rational discovery of safe antibacterial drugs: Simultaneous predictions of biological activity against streptococci and toxicological profiles in laboratory animals

Bioorganic and Medicinal Chemistry

Volumn 21, Issue 10, 2013, Pages 2727-2732

  Speck Planche, Alejandro ^a   Kleandrova, Valeria V ^a,b   Cordeiro, M N D S ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b MOSCOW STATE UNIVERSITY OF FOOD PRODUCTION   (Russian Federation)

Author keywords

Antibacterial; Artificial neural network mtk QSAR; Streptococci; Topological indices

Indexed keywords

ANTIINFECTIVE AGENT;

ANTIBACTERIAL ACTIVITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CHEMICAL ANALYSIS; CHEMOINFORMATICS; DRUG CLASSIFICATION; DRUG DEVELOPMENT; DRUG SAFETY; DRUG SCREENING; NONHUMAN; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STREPTOCOCCUS; TOXICITY TESTING;

ANIMALS; ANIMALS, LABORATORY; ANTI-BACTERIAL AGENTS; DRUG DESIGN; DRUG DISCOVERY; HUMANS; INFORMATICS; MODELS, BIOLOGICAL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; STREPTOCOCCUS; STRUCTURE-ACTIVITY RELATIONSHIP;

ANIMALIA; MUS MUSCULUS; POSIBACTERIA; RATTUS NORVEGICUS;

EID: 84876671465     PISSN: 09680896     EISSN: 14643391     Source Type: Journal    
DOI: 10.1016/j.bmc.2013.03.015     Document Type: Article

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