New Methods for Pathogen Risk Assessment: Machine Learning in the Analysis of Toxicity Spectrum of <i>Albifimbria verrucaria</i>

HighlightsThe use of artificial intelligence has great potential for predicting the toxic properties of new little-studied chemical compounds, reducing the time and financial costs associated with identifying the risks of possible threats.Relevance. Mycotoxins, which are secondary metabolites of mol...

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Detalhes bibliográficos

Principais autores:	V. T. Tkachenko, M. V. Fedorov, V. V. Fedorova, A. V. Pozdeev, E. B. Kormanovskaya, A. S. Klimova, P. V. Gunina
Formato:	Artigo
Idioma:	Russo
Publicado em:	27 Scientific Centre named after academician N.D. Zelinsky 2025-05-01
coleção:	Вестник войск РХБ защиты
Assuntos:	aflotoxin albifimbria verrucaria chemoinformatics in silico toxicity assessment machine learning mycotoxins myrothecium verrucaria predictive toxicology roridin trichothecene mycotoxin verrucarin
Acesso em linha:	https://www.nbsprot.ru/jour/article/view/395
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