Structural Similarity, Activity, and Toxicity of Mycotoxins: Combining Insights from Unsupervised and Supervised Machine Learning Algorithms.

• Tác giả: Tânia F Cova, Cláudia Ferreira, Sandra C C Nunes, Alberto A C C Pais
• Ngôn ngữ: eng
• Ký hiệu phân loại: 809.008 History and description with respect to kinds of persons
• Thông tin xuất bản: United States : Journal of agricultural and food chemistry , 2025
• Bộ sưu tập: NCBI
• ID: 691823

Tóm tắt

A large number of mycotoxins and related fungal metabolites have not been assessed in terms of their toxicological impacts. Current methodologies often prioritize specific target families, neglecting the complexity and presence of co-occurring compounds. This work addresses a fundamental question: Can we assess molecular similarity and predict the toxicity of mycotoxins