Andrographolide: a diterpenoid from cymbopogon schoenanthus identified as a new hit compound against trypanosoma cruzi using machine learning and experimental approaches (2024)
- Authors:
- Autor USP: HONORIO, KÁTHIA MARIA - EACH
- Unidade: EACH
- DOI: 10.1021/acs.jcim.3c01410
- Assunto: DOENÇA DE CHAGAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2024
- Source:
- Título: Journal of Chemical Information and Modeling
- ISSN: 1549-9596
- Volume/Número/Paginação/Ano: v. 64, p. 2565−2576, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BARBOSA, Henrique et al. Andrographolide: a diterpenoid from cymbopogon schoenanthus identified as a new hit compound against trypanosoma cruzi using machine learning and experimental approaches. Journal of Chemical Information and Modeling, v. 64, p. 2565−2576, 2024Tradução . . Disponível em: http://dx.doi.org/10.1021/acs.jcim.3c01410. Acesso em: 03 mar. 2026. -
APA
Barbosa, H., Espinoza, G. Z., Amaral, M., Levatti, E. V. de C., Abiuzi, M. B., Veríssimo, G. C., et al. (2024). Andrographolide: a diterpenoid from cymbopogon schoenanthus identified as a new hit compound against trypanosoma cruzi using machine learning and experimental approaches. Journal of Chemical Information and Modeling, 64, 2565−2576. doi:10.1021/acs.jcim.3c01410 -
NLM
Barbosa H, Espinoza GZ, Amaral M, Levatti EV de C, Abiuzi MB, Veríssimo GC, Fernandes PO, Maltarollo VG, Tempone AG, Honorio KM, Lago JHG. Andrographolide: a diterpenoid from cymbopogon schoenanthus identified as a new hit compound against trypanosoma cruzi using machine learning and experimental approaches [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64 2565−2576.[citado 2026 mar. 03 ] Available from: http://dx.doi.org/10.1021/acs.jcim.3c01410 -
Vancouver
Barbosa H, Espinoza GZ, Amaral M, Levatti EV de C, Abiuzi MB, Veríssimo GC, Fernandes PO, Maltarollo VG, Tempone AG, Honorio KM, Lago JHG. Andrographolide: a diterpenoid from cymbopogon schoenanthus identified as a new hit compound against trypanosoma cruzi using machine learning and experimental approaches [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64 2565−2576.[citado 2026 mar. 03 ] Available from: http://dx.doi.org/10.1021/acs.jcim.3c01410 - Virtual screening and in vitro assays of novel hits as promising DPP-4 inhibitors
- MASSA Algorithm: automated rational sampling of training and test subsets for QSAR modelling
- Recent advances in the prediction of pharmacokinetics properties in drug design studies: a review
- Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade
- The importance of good practices and false hits for QSAR-driven virtual screening real application: a SARS-CoV-2 main protease (Mpro) case study
- The potential of secondary metabolites from plants as drugs or leads against trypanosoma cruzi-An Update from 2012 to 2021
- Design of Inhibitors for Glyceraldehyde-3-phosphate Dehydrogenase (GAPDH) Enzyme of Leishmania mexicana
- Semisynthetic p-coumaric acid derivatives as leadDual inhibitors against DPP-IV and GSK-3β for antidiabetic therapy
- Machine learning models for the identification of natural products with anti-schistosomiasis activity
- Study of the CuII Affinity by Three Chelating Agents of Biological Interest: TPEN, TRIEN and Et2DTC
Informações sobre o DOI: 10.1021/acs.jcim.3c01410 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
