Carregant...
Carregant...

Vés al contingut (premeu Retorn)

The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors

Autor
Cruz, R.; Vellido, A.; Giraldo, J.
Tipus d'activitat
Article en revista
Revista
Medical and biological engineering and computing
Data de publicació
2015-02-01
Volum
53
Número
2
Pàgina inicial
137
Pàgina final
149
DOI
https://doi.org/10.1007/s11517-014-1218-y Obrir en finestra nova
Projecte finançador
Adquisición de conocimiento en farmacoproteomica mediante métodos avanzados de inteligencia artificial (KAPPA AIM)
Repositori
http://hdl.handle.net/2117/76818 Obrir en finestra nova
URL
http://link.springer.com/article/10.1007/s11517-014-1218-y Obrir en finestra nova
Resum
G protein-coupled receptors (GPCRs) are integral cell membrane proteins of relevance for pharmacology. The tertiary structure of the transmembrane domain, a gate to the study of protein functionality, is unknown for almost all members of class C GPCRs, which are the target of the current study. As a result, their investigation must often rely on alignments of their amino acid sequences. Sequence alignment entails the risk of missing relevant information. Various approaches have attempted to circ...
Citació
Cruz, R., Vellido, A., Giraldo, J. The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors. "Medical and biological engineering and computing", 01 Febrer 2015, núm. 2, p. 137-149.
Paraules clau
Alignment-free sequence representations, Class C G protein-coupled receptors, Semi-supervised learning
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing

Participants

Arxius