Predictive modeling of antibacterial activity of ionic liquids by machine learning methods › SPbU Researchers Portal

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

Research output: Contribution to journal › Article › peer-review

Department of Physical Chemistry

Links

https://linkinghub.elsevier.com/retrieve/pii/S1476927122001554

DOI

https://doi.org/10.1016/j.compbiolchem.2022.107775
Final published version

D.m. Makarov
Yu.a. Fadeeva
Евгения Алексеевна Сафонова
L.e. Shmukler

Original language	English
Article number	107775
Journal	Computational Biology and Chemistry
Volume	101
DOIs	https://doi.org/10.1016/j.compbiolchem.2022.107775
State	Published - 1 Dec 2022

Research areas

Antibacterial activity, Ionic Liquids, OCHEM, QSAR

Scopus subject areas

Computational Mathematics
Structural Biology
Biochemistry
Organic Chemistry

ID: 99470163