QSAR modeling of toxicities of ionic liquids toward Staphylococcus aureus using SMILES and graph invariants
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physical and Theoretical Chemistry,Condensed Matter Physics
Link
https://link.springer.com/content/pdf/10.1007/s11224-020-01568-y.pdf
Reference56 articles.
1. Yan F, He W, Jia Q, Xia S, Wang Q (2018) QSAR models for describing the toxicological effects of ILs against Candida albicans based on norm indexes. Chemosphere 201:417–424
2. Ghaedi A (2015) Predicting the cytotoxicity of ionic liquids using QSAR model based on SMILES optimal descriptors. J Mol Liq 208:269–279
3. Cvjetko Bubalo M, Radošević K, Gaurina Srček V, Narayan Das R, Popelier P, Roy K (2015) Cytotoxicity towards CCO cells of imidazolium ionic liquids with functionalized side chains: preliminary QSTR modeling using regression and classification based approaches. Ecotoxicol Environ Saf 112:22–28
4. Woong Cho C, Soo Park J, Stolte S, Sang Yun Y (2016) Modelling for antimicrobial activities of ionic liquids towards Escherichia coli, Staphylococcus aureus and candida albicans using linear free energy relationship descriptors. J Hazard Mater 311:168–175
5. Narayan Das R, Roy K, Popelier PLA (2015) Interspecies quantitative structure–toxicity–toxicity (QSTTR) relationship modeling of ionic liquids. Toxicity of ionic liquids to V. fischeri, D. magna and S. vacuolatus. Ecotoxicol Environ Saf 122:497–520
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. QSTR based on Monte Carlo approach using SMILES and graph features for toxicity toward Tetrahymena pyriformis;Journal of the Iranian Chemical Society;2023-07-29
2. QSAR models for toxicity assessment of multicomponent systems;QSAR in Safety Evaluation and Risk Assessment;2023
3. Quasi-SMILES-Based QSPR/QSAR Modeling;Challenges and Advances in Computational Chemistry and Physics;2023
4. Molecular Descriptors in QSPR/QSAR Modeling;Challenges and Advances in Computational Chemistry and Physics;2023
5. The CORAL Software as a Tool to Develop Models for Nanomaterials’ Endpoints;Challenges and Advances in Computational Chemistry and Physics;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3