QSAR studies of a diverse series of antimicrobial agents against Candida albicans by classification and regression trees

Chemometrics and Intelligent Laboratory Systems

Volumn 103, Issue 2, 2010, Pages 184-190

  Tan, Shi Miao ^a   Jiao, Jian ^a   Zhu, Xiao Lei ^a   Zhou, Yan Ping ^a   Song, Dan Dan ^a   Gong, Hong ^b   Yu, Ru Qin ^c  

^a CENTRAL CHINA NORMAL UNIVERSITY   (China)

^b WUHAN UNIVERSITY   (China)

^c HUNAN UNIVERSITY   (China)

Author keywords

Antimicrobial agents; Candida albicans; Classification and regression trees; QSAR

Indexed keywords

3 HYDROXY 4 PYRIDONE DERIVATIVE; 3 HYDROXYPYRAN 4 ONE DERIVATIVE; ANTIFUNGAL AGENT; ANTIINFECTIVE AGENT; BENZIMIDAZOLE DERIVATIVE; SORBIC ACID; UNCLASSIFIED DRUG;

ACCURACY; ANTIFUNGAL ACTIVITY; ARTICLE; CANDIDA ALBICANS; CLASSIFICATION AND REGRESSION TREE; COMPUTER SYSTEM; CONTROLLED STUDY; CORRELATION COEFFICIENT; DECISION TREE; DRUG STRUCTURE; INTERMETHOD COMPARISON; MINIMUM INHIBITORY CONCENTRATION; MOLECULAR DYNAMICS; MULTIPLE LINEAR REGRESSION ANALYSIS; NONHUMAN; PRIORITY JOURNAL; PROCESS MODEL; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

EID: 77955926475     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2010.07.005     Document Type: Article

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