In silico study to identify new antituberculosis molecules from natural sources by hierarchical virtual screening and molecular dynamics simulations (2019)
- Authors:
- Autor USP: SILVA, RAI CAMPOS - FFCLRP
- Unidade: FFCLRP
- DOI: 10.3390/ph12010036
- Subjects: TUBERCULOSE; MEDICAMENTO; MOLÉCULA
- Keywords: Virtual screening; Pharmacophore model; Molecular docking; β-ketoacyl-ACP synthase; Tuberculosis
- Language: Inglês
- Imprenta:
- Source:
- Título: Pharmaceuticals
- ISSN: 1424-8247
- Volume/Número/Paginação/Ano: v. 12, n. 1, art. 36, [19] p., 2019
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
PINTO, Vinícius de S. et al. In silico study to identify new antituberculosis molecules from natural sources by hierarchical virtual screening and molecular dynamics simulations. Pharmaceuticals, v. 12, n. 1, p. [19] , 2019Tradução . . Disponível em: https://doi.org/10.3390/ph12010036. Acesso em: 02 abr. 2026. -
APA
Pinto, V. de S., Araújo, J. S. C., Silva, R. C., Costa, G. V. da, Cruz, J. N., A. Neto, M. F. de, et al. (2019). In silico study to identify new antituberculosis molecules from natural sources by hierarchical virtual screening and molecular dynamics simulations. Pharmaceuticals, 12( 1), [19] . doi:10.3390/ph12010036 -
NLM
Pinto V de S, Araújo JSC, Silva RC, Costa GV da, Cruz JN, A. Neto MF de, Campos JM, Santos CBR, Leite FHA, S. Junior MC. In silico study to identify new antituberculosis molecules from natural sources by hierarchical virtual screening and molecular dynamics simulations [Internet]. Pharmaceuticals. 2019 ; 12( 1): [19] .[citado 2026 abr. 02 ] Available from: https://doi.org/10.3390/ph12010036 -
Vancouver
Pinto V de S, Araújo JSC, Silva RC, Costa GV da, Cruz JN, A. Neto MF de, Campos JM, Santos CBR, Leite FHA, S. Junior MC. In silico study to identify new antituberculosis molecules from natural sources by hierarchical virtual screening and molecular dynamics simulations [Internet]. Pharmaceuticals. 2019 ; 12( 1): [19] .[citado 2026 abr. 02 ] Available from: https://doi.org/10.3390/ph12010036 - A computational approach applied to the study of potential allosteric inhibitors protease NS2B/NS3 from dengue virus
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