Source: Pharmaceuticals. Unidade: FFCLRP
Subjects: TUBERCULOSE, MEDICAMENTO, MOLÉCULA
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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 nov. 2024.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/ph12010036NLM
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 2024 nov. 02 ] Available from: https://doi.org/10.3390/ph12010036Vancouver
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 2024 nov. 02 ] Available from: https://doi.org/10.3390/ph12010036
