Ontology highlight
ABSTRACT:
SUBMITTER: Semenyuta IV
PROVIDER: S-EPMC7827895 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Semenyuta Ivan V IV Trush Maria M MM Kovalishyn Vasyl V VV Rogalsky Sergiy P SP Hodyna Diana M DM Karpov Pavel P Xia Zhonghua Z Tetko Igor V IV Metelytsia Larisa O LO
International journal of molecular sciences 20210108 2
Online Chemical Modeling Environment (OCHEM) was used for QSAR analysis of a set of ionic liquids (ILs) tested against multi-drug resistant (MDR) clinical isolate <i>Acinetobacter baumannii</i> and <i>Staphylococcus aureus</i> strains. The predictive accuracy of regression models has coefficient of determination q<sup>2</sup> = 0.66 - 0.79 with cross-validation and independent test sets. The models were used to screen a virtual chemical library of ILs, which was designed with targeted activity a ...[more]