Machine learning models for the identification of natural products with anti-schistosomiasis activity (2025)
- Authors:
- Autor USP: HONORIO, KÁTHIA MARIA - EACH
- Unidade: EACH
- DOI: 10.21577/0103-5053.20250070
- Assunto: ESQUISTOSSOMOSE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal Brazilian Chemical Society
- ISSN: 1678-4790
- Volume/Número/Paginação/Ano: v. 36, n. 8, p. 01-18, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ANGELO, Rafaela Molina de et al. Machine learning models for the identification of natural products with anti-schistosomiasis activity. Journal Brazilian Chemical Society, v. 36, n. 8, p. 01-18, 2025Tradução . . Disponível em: http://dx.doi.org/10.21577/0103-5053.20250070. Acesso em: 21 jan. 2026. -
APA
Angelo, R. M. de, Maltarollo, V. G., Lago, J. H. G., & Honorio, K. M. (2025). Machine learning models for the identification of natural products with anti-schistosomiasis activity. Journal Brazilian Chemical Society, 36( 8), 01-18. doi:10.21577/0103-5053.20250070 -
NLM
Angelo RM de, Maltarollo VG, Lago JHG, Honorio KM. Machine learning models for the identification of natural products with anti-schistosomiasis activity [Internet]. Journal Brazilian Chemical Society. 2025 ; 36( 8): 01-18.[citado 2026 jan. 21 ] Available from: http://dx.doi.org/10.21577/0103-5053.20250070 -
Vancouver
Angelo RM de, Maltarollo VG, Lago JHG, Honorio KM. Machine learning models for the identification of natural products with anti-schistosomiasis activity [Internet]. Journal Brazilian Chemical Society. 2025 ; 36( 8): 01-18.[citado 2026 jan. 21 ] Available from: http://dx.doi.org/10.21577/0103-5053.20250070 - Molecular description of α-keto-based inhibitors of cruzain with activity against Chagas disease combining 3D-QSAR studies and molecular dynamics
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Informações sobre o DOI: 10.21577/0103-5053.20250070 (Fonte: oaDOI API)
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