A Biocomputational Platform for Template-based Protein-protein Docking
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| Συγγραφείς: | , , |
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| Μορφή: | artículo original |
| Κατάσταση: | Versión publicada |
| Ημερομηνία έκδοσης: | 2020 |
| Περιγραφή: | We propose the creation of a Biocomputational Platform for template-based protein-protein docking that aims reduce computational time by clustering data before the rigid body alignment. Using data from the Dockground project, models will be created using multiple clustering methods that will annotated each protein into a class, such that when performing the match search, not all of the databank needs to be inspected but just the class that resembles the most to the studied protein. This will reduce the time that conformation matching requires without incurring in lower precision. |
| Χώρα: | Portal de Revistas TEC |
| Ίδρυμα: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| Γλώσσα: | Inglés |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/5084 |
| Διαθέσιμο Online: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/5084 |
| Λέξη-Κλειδί : | Clustering protein-protein docking template-based docking HPC Agrupamiento acoplamiento de proteínas Acoplamiento basado en plantillas |