Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug-drug complex networks

Bioorganic and Medicinal Chemistry

Volumn 17, Issue 2, 2009, Pages 569-575

  Prado Prado, Francisco J ^a,b   de la Vega, Octavio Martinez ^b   Uriarte, Eugenio ^a   Ubeira, Florencio M ^a   Chou, Kuo Chen ^c   González Díaz, Humberto ^a,c  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^b DEPARTAMENTO DE FÍSICA   (Mexico)

^c GORDON LIFE SCIENCE INSTITUTE   (United States)

Author keywords

Antimicrobial drugs; Antiviral drugs; Complex Networks; Giant Component; Machine learning; Markov Chain Model; Multi target learning; QSAR

Indexed keywords

ANTIINFECTIVE AGENT; ANTIVIRUS AGENT;

ANTIVIRAL ACTIVITY; ARTICLE; COMPARATIVE STUDY; DRUG SCREENING; GAS CHROMATOGRAPHY; HERPES SIMPLEX VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1; MOLECULAR MODEL; NONHUMAN; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS; VARICELLA ZOSTER VIRUS;

ANTI-INFECTIVE AGENTS; ANTIVIRAL AGENTS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DRUG EVALUATION, PRECLINICAL; MOLECULAR STRUCTURE; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

FUNGI;

EID: 58749107670     PISSN: 09680896     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bmc.2008.11.075     Document Type: Article

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