Quantitative Read-across structure-activity relationship (q-RASAR): A new approach methodology to model aquatic toxicity of organic pesticides against different fish species

Author:

Ghosh Shilpayan,Chatterjee Mainak,Roy KunalORCID

Funder

All India Council for Technical Education

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Aquatic Science

Reference52 articles.

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3. In silico prediction of the aniline derivatives toxicities to Tetrahymena pyriformis using chemometrics tools;Asadollahi-Baboli;Toxicol. Environ. Chem.,2012

4. Quantitative predictions from chemical read-across and their confidence measures;Banerjee;Chemom. Intell. Lab. Syst.,2022

5. First report of q-RASAR modeling toward an approach of easy interpretability and efficient transferability;Banerjee;Mol. Divers.,2022

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1. Tools, Applications, and Case Studies (q-RA and q-RASAR);SpringerBriefs in Molecular Science;2024

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