Molecular modeling approaches of selective adenosine receptor type 2A agonists as potential anti-inflammatory drugs (2020)
- Authors:
- Autor USP: SILVA, CARLOS HENRIQUE TOMICH DE PAULA DA - FCFRP
- Unidade: FCFRP
- DOI: 10.1080/07391102.2020.1761878
- Subjects: ANTI-INFLAMATÓRIOS; AGENTES DOPAMINÉRGICOS; ADENOSINA
- Keywords: A2AR selectivity; ADME/tox properties; New drugs; Anti-inflammatory compound; Molecular docking
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Biomolecular Structure and Dynamics
- ISSN: 0739-1102
- Volume/Número/Paginação/Ano: v. 39, n. 9, p. 3115-3127, 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SANTOS, Cleydson B. R. et al. Molecular modeling approaches of selective adenosine receptor type 2A agonists as potential anti-inflammatory drugs. Journal of Biomolecular Structure and Dynamics, v. 39, n. 9, p. 3115-3127, 2020Tradução . . Disponível em: https://doi.org/10.1080/07391102.2020.1761878. Acesso em: 29 dez. 2025. -
APA
Santos, C. B. R., Santos, K. L. B., Cruz, J. N., Leite, F. H. A., Borges, R. S., Taft, C. A., et al. (2020). Molecular modeling approaches of selective adenosine receptor type 2A agonists as potential anti-inflammatory drugs. Journal of Biomolecular Structure and Dynamics, 39( 9), 3115-3127. doi:10.1080/07391102.2020.1761878 -
NLM
Santos CBR, Santos KLB, Cruz JN, Leite FHA, Borges RS, Taft CA, Campos JM, Silva CHT de P da. Molecular modeling approaches of selective adenosine receptor type 2A agonists as potential anti-inflammatory drugs [Internet]. Journal of Biomolecular Structure and Dynamics. 2020 ; 39( 9): 3115-3127.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1080/07391102.2020.1761878 -
Vancouver
Santos CBR, Santos KLB, Cruz JN, Leite FHA, Borges RS, Taft CA, Campos JM, Silva CHT de P da. Molecular modeling approaches of selective adenosine receptor type 2A agonists as potential anti-inflammatory drugs [Internet]. Journal of Biomolecular Structure and Dynamics. 2020 ; 39( 9): 3115-3127.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1080/07391102.2020.1761878 - Química computacional no planejamento de candidatos a quimioterápicos
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Informações sobre o DOI: 10.1080/07391102.2020.1761878 (Fonte: oaDOI API)
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