Prediction of HIV-1 protease inhibitors using machine learning approaches

QSAR and Combinatorial Science

Volumn 28, Issue 11-12, 2009, Pages 1346-1357

  Rao, Hanbing ^a   Yang, Guobing ^a   Tan, Ningxin ^a   Li, Ping ^a   Li, Zerong ^a   Li, Xiangyuan ^a  

^a SICHUAN UNIVERSITY   (China)

Author keywords

Applicability domain; Feature selection; HIV 1 protease inhibitors; Machine learning methods; Medicinal chemistry; Monte carlo simulated annealing; Structure property relationships

Indexed keywords

HUMAN IMMUNODEFICIENCY VIRUS ANTIBODY; PROTEINASE INHIBITOR;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; DATA BASE; DRUG CLASSIFICATION; DRUG SCREENING; HUMAN IMMUNODEFICIENCY VIRUS 1; K NEAREST NEIGHBOR; LOGISTIC REGRESSION ANALYSIS; MACHINE LEARNING; PREDICTION; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 76049122386     PISSN: 1611020X     EISSN: 16110218     Source Type: Journal    
DOI: 10.1002/qsar.200960021     Document Type: Article

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