A chemoinformatics approach to the discovery of lead-like molecules from marine and microbial sources en route to antitumor and antibiotic drugs

Marine Drugs

Volumn 12, Issue 2, 2014, Pages 757-778

  Pereira, Florbela ^a   Latino, Diogo A R S ^a,b   Gaudêncio, Susana P ^a  

^a UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^b UNIVERSITY OF LISBON   (Portugal)

Author keywords

Antibiotic; Antitumor; Drug discovery; Marine natural products; Microbial natural products; Quantitative structure activity relationships (QSAR)

Indexed keywords

ANTIBIOTIC AGENT; ANTINEOPLASTIC AGENT; MICROBIAL PRODUCTS NOT CLASSIFIED ELSEWHERE; NATURAL PRODUCT;

ACCURACY; ANTIFUNGAL ACTIVITY; ANTIMALARIAL ACTIVITY; ANTIMICROBIAL ACTIVITY; ANTINEOPLASTIC ACTIVITY; ANTIVIRAL ACTIVITY; ARTICLE; CANCER CELL CULTURE; DRUG CLASSIFICATION; DRUG DATABASE; DRUG DESIGN; DRUG SCREENING; DRUG STRUCTURE; HUMAN; MACHINE LEARNING; NONHUMAN; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE;

ANTI-BACTERIAL AGENTS; ANTINEOPLASTIC AGENTS; AQUATIC ORGANISMS; BIOLOGICAL PRODUCTS; DATABASES, CHEMICAL; DRUG DESIGN; DRUG DISCOVERY; HUMANS; INFORMATICS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84896740244     PISSN: None     EISSN: 16603397     Source Type: Journal    
DOI: 10.3390/md12020757     Document Type: Article

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