Predictive modeling of antibacterial activity of ionic liquids by machine learning methods

Structural variation and different bioactivity of ionic liquids (ILs) make them highly promising for the development of novel biocides. Application of computational methods to the evaluation of potential antibacterial activity of chemical compounds is a useful, time- and cost-saving tool replacing n...

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Bibliographic Details

Published in:	Computational biology and chemistry Vol. 101; p. 107775
Main Authors:	Makarov, D.M., Fadeeva, Yu.A., Safonova, E.A., Shmukler, L.E.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-12-2022
Subjects:	Antibacterial activity Ionic Liquids OCHEM QSAR Ionic Liquids Antibacterial activity OCHEM QSAR
Online Access:	Get full text
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