P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model (2015)
- Authors:
- Autor USP: FERREIRA, JOÃO EDUARDO - IME
- Unidade: IME
- DOI: 10.1145/2695664.2695962
- Subjects: BIOINFORMÁTICA; ALGORITMOS; BIOLOGIA MOLECULAR
- Keywords: rational drug design; molecular docking simulation; workflow data-flow patterns
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: ACM SIGAPP Symposium on on Applied Computing - SAC
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
HÜBLER, Patricia et al. P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model. 2015, Anais.. New York: ACM, 2015. Disponível em: https://doi.org/10.1145/2695664.2695962. Acesso em: 21 maio 2024. -
APA
Hübler, P., Ruiz, D. D., Ferreira, J. E., & Souza, O. N. de. (2015). P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model. In Proceedings. New York: ACM. doi:10.1145/2695664.2695962 -
NLM
Hübler P, Ruiz DD, Ferreira JE, Souza ON de. P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model [Internet]. Proceedings. 2015 ;[citado 2024 maio 21 ] Available from: https://doi.org/10.1145/2695664.2695962 -
Vancouver
Hübler P, Ruiz DD, Ferreira JE, Souza ON de. P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model [Internet]. Proceedings. 2015 ;[citado 2024 maio 21 ] Available from: https://doi.org/10.1145/2695664.2695962 - A partial persistent data structure to support consistency in real-time collaborative editing
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Informações sobre o DOI: 10.1145/2695664.2695962 (Fonte: oaDOI API)
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