Hübler, Patricia; Ruiz, Duncan D; Ferreira, João Eduardo 
; Souza, Osmar Norberto de
Source: Proceedings. Conference titles: ACM SIGAPP Symposium on on Applied Computing - SAC. Unidade: IME
Subjects: BIOINFORMÁTICA, ALGORITMOS, BIOLOGIA MOLECULAR
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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:10.1145/2695664.2695962NLM
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/10.1145/2695664.2695962Vancouver
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
