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Advances in semi-supervised alignment-free classification of G protein-coupled receptors

Autor
Vellido, A.; Cruz, R.; Giraldo, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
2013 - International Work-Conference on Bioinformatics and Biomedical Engineering
Any de l'edició
2013
Data de presentació
2013-03
Llibre d'actes
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering 2013
Pàgina inicial
759
Pàgina final
766
Repositori
http://hdl.handle.net/2117/20417 Obrir en finestra nova
URL
http://iwbbio.ugr.es/papers/iwbbio_121.pdf Obrir en finestra nova
Resum
G Protein-coupled receptors (GPCRs) are integral cell membrane proteins of great relevance for pharmacology due to their role in transducing extracellular signals. The 3-D s tructure is unknown for most of them, and the investigation of their structure-function relationships usually relies on the construction of 3-D receptor models from amino acid sequence alignment onto those receptors of known structure. Sequence alignment risks the loss of relevant information. Different approaches have attem...
Citació
Cruz, R.; Vellido, A.; Giraldo, Jesús. Advances in semi-supervised alignment-free classification of G protein-coupled receptors. A: International Work-Conference on Bioinformatics and Biomedical Engineering. "Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering 2013". Granada: 2013, p. 759-766.
Paraules clau
QSAR, biology computing, biomembranes, cellular biophysics, covariance analysis, molecular biophysics, proteins
Grup de recerca
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
SOCO - Soft Computing

Participants

Arxius