QSAR modeling of the antifungal activity against Candida albicans for a diverse set of organic compounds

Experimentally measured minimum inhibitory concentrations for a series of 83 cyanoborane, fluconazole, carbonylaminobenzoxazole and imidazolylmethylindole derivatives were studied by the methods of QSAR. A good explanatory model with R 2 = 0.788 was obtained and reported. The molecular structures of 83 diverse organic compounds are correlated by a quantitative structure–activity relationship (QSAR) to their minimum inhibitor concentrations (MIC expressed as log(1/MIC)), involving 6 descriptors with R 2 = 0.788, F = 47.140, s 2 = 0.130. A novel QSAR development technique is utilized combining advantages of the two frequently applied methods. The topological, electronic, geometrical, and hybrid type descriptors for the compounds were calculated by CODESSA PRO software.