A Biocomputational Platform for Template-based Protein-protein Docking

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: Román-Brenes, Ricardo, Siles-Canales, Francisco, Zamora-Mata, Daniel
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2020
Miêu tả: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.
Quốc gia:Portal de Revistas TEC
Tổ chức giáo dục:Instituto Tecnológico de Costa Rica
Repositorio:Portal de Revistas TEC
Ngôn ngữ:Inglés
OAI Identifier:oai:ojs.pkp.sfu.ca:article/5084
Truy cập trực tuyến:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/5084
Từ khóa:Clustering
protein-protein docking
template-based docking
HPC
Agrupamiento
acoplamiento de proteínas
Acoplamiento basado en plantillas