Computational analyses of interactions between ALK-5 and bioactive ligands: insights for the design of potential anticancer agents (2018)
- Authors:
- Autor USP: HONORIO, KÁTHIA MARIA - EACH
- Unidade: EACH
- DOI: 10.1080/07391102.2017.1404938
- Subjects: NEOPLASIAS; MODELAGEM MOLECULAR
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Biomolecular Structure & Dynamics
- ISSN: 0739-1102
- Volume/Número/Paginação/Ano: v. 36, n. 15, p. 4010-4022, 2018
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- Versão do Documento: Versão submetida (Pré-print)
-
Status: Artigo possui versão em acesso aberto em repositório (Green Open Access) -
ABNT
ALMEIDA, Michell O. et al. Computational analyses of interactions between ALK-5 and bioactive ligands: insights for the design of potential anticancer agents. Journal of Biomolecular Structure & Dynamics, v. 36, n. 15, p. 4010-4022, 2018Tradução . . Disponível em: https://doi.org/10.1080/07391102.2017.1404938. Acesso em: 13 mar. 2026. -
APA
Almeida, M. O., Costa, C. H. S., Gomes, G. C., Alves, C. N., & Honorio, K. M. (2018). Computational analyses of interactions between ALK-5 and bioactive ligands: insights for the design of potential anticancer agents. Journal of Biomolecular Structure & Dynamics, 36( 15), 4010-4022. doi:10.1080/07391102.2017.1404938 -
NLM
Almeida MO, Costa CHS, Gomes GC, Alves CN, Honorio KM. Computational analyses of interactions between ALK-5 and bioactive ligands: insights for the design of potential anticancer agents [Internet]. Journal of Biomolecular Structure & Dynamics. 2018 ; 36( 15): 4010-4022.[citado 2026 mar. 13 ] Available from: https://doi.org/10.1080/07391102.2017.1404938 -
Vancouver
Almeida MO, Costa CHS, Gomes GC, Alves CN, Honorio KM. Computational analyses of interactions between ALK-5 and bioactive ligands: insights for the design of potential anticancer agents [Internet]. Journal of Biomolecular Structure & Dynamics. 2018 ; 36( 15): 4010-4022.[citado 2026 mar. 13 ] Available from: https://doi.org/10.1080/07391102.2017.1404938 - 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
- Andrographolide: a diterpenoid from cymbopogon schoenanthus identified as a new hit compound against trypanosoma cruzi using machine learning and experimental approaches
- Molecular features related to the binding mode of PPARδ agonists from QSAR and docking analyses
- Study on molecular structure, spectroscopic properties (FTIR and UV–Vis), NBO, QTAIM, HOMO-LUMO energies and docking studies of 5-fluorouracil, a substance used to treat cancer
- MD simulations and multivariate studies for modeling the antileishmanial activity of peptides
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
