2018
DOI: 10.1016/j.chemosphere.2018.02.147
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QSAR models for describing the toxicological effects of ILs against Candida albicans based on norm indexes

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Cited by 22 publications
(2 citation statements)
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“…In this work, the model developed (also using LFER predictors) presented an R 2 = 0.901 with an SE of 0.426. Instead of using LFER descriptors, Yan and coworkers [ 83 ] decided to apply matrix norm and topological indexes to develop two new QSAR models to predict the antifungal activity of ILs against C. albicans . A total of 141 MIC and 85 MBC experimental data of ILs against C. albicans were collected.…”
Section: Effect Of Ionic Liquids On Microorganismsmentioning
confidence: 99%
“…In this work, the model developed (also using LFER predictors) presented an R 2 = 0.901 with an SE of 0.426. Instead of using LFER descriptors, Yan and coworkers [ 83 ] decided to apply matrix norm and topological indexes to develop two new QSAR models to predict the antifungal activity of ILs against C. albicans . A total of 141 MIC and 85 MBC experimental data of ILs against C. albicans were collected.…”
Section: Effect Of Ionic Liquids On Microorganismsmentioning
confidence: 99%
“…The model could predict the MIC and MBC in the standard error of 0.341 and 0.282 log units, respectively. Similarly, Yan et al [62] which He et al [30] applied, and presented QSAR models to predict MIC and MBC of ILs to C. albicans with the good-of-fitness (R 2 ) of 0.930 and 0.873, respectively. Among bacterial species, the luminescent bacterium V. fischeri was mostly used for toxicity tests of ILs because it is sensitive, simple, and fast.…”
Section: Qsar For the Response Of Bacteriamentioning
confidence: 99%