| Autor: |
König Caroline, Alqézar Renè, Vellido Alfredo, Giraldo Jesús |
| Jazyk: |
angličtina |
| Rok vydání: |
2014 |
| Předmět: |
|
| Zdroj: |
Journal of Integrative Bioinformatics, Vol 11, Iss 3, Pp 99-115 (2014) |
| Druh dokumentu: |
article |
| ISSN: |
1613-4516 |
| DOI: |
10.1515/jib-2014-254 |
| Popis: |
G protein-coupled receptors (GPCRs) are a large and heterogeneous superfamily of receptors that are key cell players for their role as extracellular signal transmitters. Class C GPCRs, in particular, are of great interest in pharmacology. The lack of knowledge about their full 3-D structure prompts the use of their primary amino acid sequences for the construction of robust classifiers, capable of discriminating their different subtypes. In this paper, we investigate the use of feature selection techniques to build Support Vector Machine (SVM)-based classification models from selected receptor subsequences described as n-grams. We show that this approach to classification is useful for finding class C GPCR subtype-specific motifs. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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