QSAR model for predicting the fungicidal action of 1,2,4-triazole derivatives against Candida albicans

Journal of Enzyme Inhibition and Medicinal Chemistry

Volumn 25, Issue 5, 2010, Pages 696-701

  Singla, Rajeev K ^a   Bhat G, Varadaraj ^b  

^a Shri Gopichand College of Pharmacy   (India)

^b MANIPAL COLLEGE OF PHARMACEUTICAL SCIENCES   (India)

Author keywords

1; 2; 4 triazole; 2D QSAR; Candida albicans; MDS; multiple regression analysis

Indexed keywords

1,2,4 TRIAZOLE DERIVATIVE; FLUCONAZOLE;

ARTICLE; CANDIDA ALBICANS; COMPUTER PROGRAM; DRUG SYNTHESIS; FUNGICIDAL ACTIVITY; FUNGUS GROWTH; MINIMUM INHIBITORY CONCENTRATION; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SUBSTITUTION REACTION;

ANTIFUNGAL AGENTS; ARTIFICIAL INTELLIGENCE; CANDIDA ALBICANS; DRUG DESIGN; FLUCONAZOLE; MICROBIAL SENSITIVITY TESTS; MODELS, MOLECULAR; MOLECULAR CONFORMATION; MOLECULAR DYNAMICS SIMULATION; PHYSICOCHEMICAL PHENOMENA; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; REGRESSION ANALYSIS; SOFTWARE; TRIAZOLES;

CANDIDA ALBICANS;

EID: 77956028811     PISSN: 14756366     EISSN: 14756374     Source Type: Journal    
DOI: 10.3109/14756360903524296     Document Type: Article

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