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
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
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: 30 dez. 2025. -
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 2025 dez. 30 ] 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 2025 dez. 30 ] Available from: https://doi.org/10.3390/ph12010036 - Identification of new rofecoxib-based cyclooxygenase-2 inhibitors: a bioinformatics approach
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Informações sobre o DOI: 10.3390/ph12010036 (Fonte: oaDOI API)
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