Machine learning prediction model combined with network toxicology analysis identifies potential cardiotoxic components and mechanisms among 741 pesticides

The usage of pesticides in agriculture is substantial, but their application may pose potential risks of physical harm. Existing network toxicology methods for analysis and prediction lack the capability for structural early-warning of toxicity and are inefficient for individual compound analysis. T...

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Detalhes bibliográficos

Principais autores:	Qi Yang, Hongsheng Liu, Guiyuan Pang, Yuemi Mo, Chenglin Zhou, Meiyu Huang, Chun Luo, Erwei Hao, Lili Fan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-10-01
coleção:	Environment International
Assuntos:	Pesticides Cardiotoxicity Machine learning Network toxicology Zebrafish
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S0160412025006117
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