Multi-class Superfamily Prediction Using 3D Models Enriched with Physicochemical Properties.
(Eng) In this paper, two new methods that address the multi-class superfamily prediction problem are presented. In the multi-class superfamily recognition problem each amino acid sequence has to be classified into one of the known structural classes (i.e., superfamilies). Most of the strategies that...
- Autores:
-
Bedoya Leiva, Oscar Fernando
Tischer, Irene
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad del Valle
- Repositorio:
- Repositorio Digital Univalle
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.univalle.edu.co:10893/18334
- Acceso en línea:
- https://hdl.handle.net/10893/18334
- Palabra clave:
- Predicción de superfamilias
Propiedades fisicoquímicas
Clasificadores binarios
Superfamilia SCOP
Modelos 3D enriquecidos
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb