| Literature DB >> 33429999 |
Ivan V Semenyuta1, Maria M Trush1, Vasyl V Kovalishyn1, Sergiy P Rogalsky1, Diana M Hodyna1, Pavel Karpov2, Zhonghua Xia2, Igor V Tetko2,3, Larisa O Metelytsia1.
Abstract
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 Acinetobacter baumannii and Staphylococcus aureus strains. The predictive accuracy of regression models has coefficient of determination q2 = 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 against MDR Acinetobacter baumannii and Staphylococcus aureus strains. Seven most promising ILs were selected, synthesized, and tested. Three ILs showed high activity against both these MDR clinical isolates.Entities:
Keywords: Acinetobacter baumannii; FabI; OCHEM; QSAR; Staphylococcus aureus; Structure-Activity modeling; enoyl-ACP reductase; guanidinium; imidazolium; ionic liquids (ILs); pyridinium
Year: 2021 PMID: 33429999 DOI: 10.3390/ijms22020563
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923