Literature DB >> 29289911

QSAR models for describing the toxicological effects of ILs against Staphylococcus aureus based on norm indexes.

Wensi He1, Fangyou Yan2, Qingzhu Jia3, Shuqian Xia4, Qiang Wang1.   

Abstract

The hazardous potential of ionic liquids (ILs) is becoming an issue of great concern due to their important role in many industrial fields as green agents. The mathematical model for the toxicological effects of ILs is useful for the risk assessment and design of environmentally benign ILs. The objective of this work is to develop QSAR models to describe the minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) of ILs against Staphylococcus aureus (S. aureus). A total of 169 and 101 ILs with MICs and MBCs, respectively, are used to obtain multiple linear regression models based on matrix norm indexes. The norm indexes used in this work are proposed by our research group and they are first applied to estimate the antibacterial toxicity of these ILs against S. aureus. These two models precisely and reliably calculated the IL toxicities with a square of correlation coefficient (R2) of 0.919 and a standard error of estimate (SE) of 0.341 (in log unit of mM) for pMIC, and an R2 of 0.913 and SE of 0.282 for pMBC.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antibacterial toxicity; Ionic liquids; Norm index; QSAR; Staphylococcus aureus

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Year:  2017        PMID: 29289911     DOI: 10.1016/j.chemosphere.2017.12.091

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  3 in total

1.  QSAR model for predicting the toxicity of organic compounds to fathead minnow.

Authors:  Qingzhu Jia; Yunpeng Zhao; Fangyou Yan; Qiang Wang
Journal:  Environ Sci Pollut Res Int       Date:  2018-10-22       Impact factor: 4.223

2.  Norm index for predicting the rate constants of organic contaminants oxygenated with sulfate radical.

Authors:  Yajuan Shi; Fangyou Yan; Qingzhu Jia; Qiang Wang
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-09       Impact factor: 4.223

3.  Predicting Thermal Decomposition Temperature of Binary Imidazolium Ionic Liquid Mixtures from Molecular Structures.

Authors:  Hongpeng He; Yong Pan; Jianwen Meng; Yongheng Li; Junhong Zhong; Weijia Duan; Juncheng Jiang
Journal:  ACS Omega       Date:  2021-05-11
  3 in total

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