A Biocomputational Platform for Template-based Protein-protein Docking

 

Gorde:
Xehetasun bibliografikoak
Egileak: Román-Brenes, Ricardo, Siles-Canales, Francisco, Zamora-Mata, Daniel
Formatua: artículo original
Egoera:Versión publicada
Argitaratze data:2020
Deskribapena: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.
Herria:RepositorioTEC
Erakundea:Instituto Tecnológico de Costa Rica
Repositorio:RepositorioTEC
Hizkuntza:Inglés
OAI Identifier:oai:repositoriotec.tec.ac.cr:2238/12077
Sarrera elektronikoa:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/5084
https://hdl.handle.net/2238/12077
Access Level:acceso abierto
Gako-hitza:Clustering
protein-protein docking
template-based docking
HPC
Agrupamiento
acoplamiento de proteínas
Acoplamiento basado en plantillas