Exploring regression-based QSTR and i-QSTR modeling for ecotoxicity prediction of diverse pesticides on multiple avian species
Author:
Affiliation:
1. Drug Discovery and Development (DDD) Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India
Abstract
Funder
All India Council for Technical Education
Publisher
Royal Society of Chemistry (RSC)
Subject
Pollution,Water Science and Technology,Environmental Chemistry,Environmental Engineering
Link
http://pubs.rsc.org/en/content/articlepdf/2023/VA/D3VA00163F
Reference53 articles.
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3. Review of field and monitoring studies investigating the role of nitro-substituted neonicotinoid insecticides in the reported losses of honey bee colonies (Apis mellifera)
4. Ecotoxicological QSTR and QSTTR Modeling for the Prediction of Acute Oral Toxicity of Pesticides against Multiple Avian Species
5. Predicting Toxicities of Diverse Chemical Pesticides in Multiple Avian Species Using Tree-Based QSAR Approaches for Regulatory Purposes
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