A Biocomputational Platform for Template-based Protein-protein Docking
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| Autores: | , , |
|---|---|
| Formáid: | artículo original |
| Stádas: | Versión publicada |
| Fecha de Publicación: | 2020 |
| Cur Síos: | 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. |
| País: | Portal de Revistas TEC |
| Institiúid: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| Teanga: | Inglés |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/5084 |
| Rochtain Ar Líne: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/5084 |
| Palabra clave: | Clustering protein-protein docking template-based docking HPC Agrupamiento acoplamiento de proteínas Acoplamiento basado en plantillas |