Predictive binary mixture toxicity modeling of fluoroquinolones (FQs) and the projection of toxicity of hypothetical binary FQ mixtures: a combination of 2D-QSAR and machine-learning approaches-Reference-Cited by-同舟云学术

Predictive binary mixture toxicity modeling of fluoroquinolones (FQs) and the projection of toxicity of hypothetical binary FQ mixtures: a combination of 2D-QSAR and machine-learning approaches

Published:2024 Issue:1 Volume:26 Page:105-118
ISSN:2050-7887
Container-title:Environmental Science: Processes & Impacts
language:en
Short-container-title:Environ. Sci.: Processes Impacts

Author:

Chatterjee Mainak¹^ORCID,Roy Kunal¹^ORCID

Affiliation:

1. Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India

Abstract

We have developed conventional and machine learning-based mixture QSAR models from the toxicity data of the binary mixtures of fluoroquinolones in E. coli.

Funder

All India Council for Technical Education

Publisher

Royal Society of Chemistry (RSC)

Subject

Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Environmental Chemistry,General Medicine

Link

http://pubs.rsc.org/en/content/articlepdf/2024/EM/D3EM00445G

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