Machine learning prediction of acute toxicity with in vivo experiments on tetrazole derivatives
Year: 2025
Type: article
Abstract: Mordred software to explore quantitative structure-activity relationships, and additionally, the model's robustness was demonstrated by measuring the acute toxicity of tetrazole derivatives synthesized through the azido-Ugi reaction.
Source: RSC Medicinal Chemistry
DOI: 10.1039/d5md00757g
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4416150297