A computational approach applied to the study of potential allosteric inhibitors protease NS2B/NS3 from dengue virus (2022)
- Authors:
- Autor USP: SILVA, RAI CAMPOS - FFCLRP
- Unidade: FFCLRP
- DOI: 10.3390/molecules27134118
- Subjects: DENGUE; INIBIDORES DE ENZIMAS; COMPUTAÇÃO APLICADA; SÍTIOS DE LIGAÇÃO; MOLÉCULAS DE ADESÃO CELULAR
- Keywords: Dengue; NS2B/NS3pro; Allosteric site; Molecular docking; Molecular dynamics and free energy
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
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ABNT
COSTA, Renato A. da et al. A computational approach applied to the study of potential allosteric inhibitors protease NS2B/NS3 from dengue virus. Molecules, v. 27, n. 13, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.3390/molecules27134118. Acesso em: 27 jan. 2026. -
APA
Costa, R. A. da, Rocha, J. A. P. da, Pinheiro, A. S., Costa, A. do S. S. da, Rocha, E. C. M. da, Silva, R. C., et al. (2022). A computational approach applied to the study of potential allosteric inhibitors protease NS2B/NS3 from dengue virus. Molecules, 27( 13), 1-10. doi:10.3390/molecules27134118 -
NLM
Costa RA da, Rocha JAP da, Pinheiro AS, Costa A do SS da, Rocha ECM da, Silva RC, Gonçalves A da S, Santos CBR, Brasil D do SB. A computational approach applied to the study of potential allosteric inhibitors protease NS2B/NS3 from dengue virus [Internet]. Molecules. 2022 ; 27( 13): 1-10.[citado 2026 jan. 27 ] Available from: https://doi.org/10.3390/molecules27134118 -
Vancouver
Costa RA da, Rocha JAP da, Pinheiro AS, Costa A do SS da, Rocha ECM da, Silva RC, Gonçalves A da S, Santos CBR, Brasil D do SB. A computational approach applied to the study of potential allosteric inhibitors protease NS2B/NS3 from dengue virus [Internet]. Molecules. 2022 ; 27( 13): 1-10.[citado 2026 jan. 27 ] Available from: https://doi.org/10.3390/molecules27134118 - In silico study to identify new antituberculosis molecules from natural sources by hierarchical virtual screening and molecular dynamics simulations
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Informações sobre o DOI: 10.3390/molecules27134118 (Fonte: oaDOI API)
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