Ligand receptor affinities computed by an adapted linear interaction model for continuum electrostatics and by protein conformational averaging (2014)
- Authors:
- Autor USP: ARANTES, GUILHERME MENEGON - IQ
- Unidade: IQ
- DOI: 10.1021/ci500301s
- Subjects: RECEPTORES; LIGAÇÕES QUÍMICAS; BIOQUÍMICA
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2014
- Source:
- Título: Journal of Chemical information and Modeling
- ISSN: 1549-9596
- Volume/Número/Paginação/Ano: v. 54, n. 8, p. 2221-2231, 2014
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ALVES, Ariane Nunes e ARANTES, Guilherme Menegon. Ligand receptor affinities computed by an adapted linear interaction model for continuum electrostatics and by protein conformational averaging. Journal of Chemical information and Modeling, v. 54, n. 8, p. 2221-2231, 2014Tradução . . Disponível em: https://doi.org/10.1021/ci500301s. Acesso em: 12 jun. 2025. -
APA
Alves, A. N., & Arantes, G. M. (2014). Ligand receptor affinities computed by an adapted linear interaction model for continuum electrostatics and by protein conformational averaging. Journal of Chemical information and Modeling, 54( 8), 2221-2231. doi:10.1021/ci500301s -
NLM
Alves AN, Arantes GM. Ligand receptor affinities computed by an adapted linear interaction model for continuum electrostatics and by protein conformational averaging [Internet]. Journal of Chemical information and Modeling. 2014 ; 54( 8): 2221-2231.[citado 2025 jun. 12 ] Available from: https://doi.org/10.1021/ci500301s -
Vancouver
Alves AN, Arantes GM. Ligand receptor affinities computed by an adapted linear interaction model for continuum electrostatics and by protein conformational averaging [Internet]. Journal of Chemical information and Modeling. 2014 ; 54( 8): 2221-2231.[citado 2025 jun. 12 ] Available from: https://doi.org/10.1021/ci500301s - Computational molecular bioenergetics: simulations of iron-sulfur proteins and mobile natural quinones
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Informações sobre o DOI: 10.1021/ci500301s (Fonte: oaDOI API)
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