| Campo DC | Valor | Idioma |
|---|
| dc.contributor.author | Renata de Paris | - |
| dc.contributor.author | Duncan Dubugras Alcoba Ruiz | - |
| dc.contributor.author | Norberto de Souza, Osmar | - |
| dc.date.accessioned | 2018-11-20T10:54:28Z | - |
| dc.date.available | 2018-11-20T10:54:28Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.isbn | 9781467395601 | - |
| dc.identifier.uri | http://hdl.handle.net/10923/13269 | - |
| dc.language.iso | en | - |
| dc.relation.ispartof | Proceedings of the IEEE 7th International Conference on Cloud Computing Technology and Science, 2015, Canadá. | - |
| dc.rights | openAccess | - |
| dc.subject | Scientific Workflow | - |
| dc.subject | molecular docking | - |
| dc.subject | fully-flexible receptor model | - |
| dc.subject | Cloud Computing | - |
| dc.title | A Cloud-Based Workflow Approach for Optimizing Molecular Docking Simulations of Fully-Flexible Receptor Models and Multiple Ligands. | - |
| dc.type | conferenceObject | - |
| dc.date.updated | 2018-11-20T10:54:27Z | - |
| Aparece en las colecciones: | Apresentação em Evento
|
