Visual interpretation of class C GPCR subtype overlapping from the nonlinear mapping of transformed primary sequences
| Autor: | Martha Ivón Cárdenas, Jesús Giraldo, Alfredo Vellido |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. SOCO - Soft Computing |
| Rok vydání: | 2014 |
| Předmět: |
Proteomics
Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC] Nonlinear dimensionality reduction Bioinformatics Molecular biology Computer science Quantitative estimation Class C GPCR Computational biology Proteòmica Machine learning computer.software_genre G protein coupled receptors Nonlinear mappings Data visualization Bioinformàtica Membrane proteins Interpretability Primary (chemistry) business.industry Primary amino acid Primary sequences Proteins Visual interpretation Visualization Nonlinear system Amino acids Artificial intelligence business computer Biological membranes |
| Zdroj: | BHI UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya Universitat Jaume I |
| DOI: | 10.1109/bhi.2014.6864476 |
| Popis: | This brief paper addresses the problem of visually assessing the natural discriminability of the different subtypes that characterize class C G-Protein-Coupled Receptors, which are membrane proteins of interest in pharmacology, from diverse transformations of their primary amino acid sequences. Visualization, achieved using nonlinear dimensionality reduction techniques, is used as an exploratory tool to increase the interpretability of the data subtype structure. Combined with a quantitative estimation of subtype overlapping, this approach should be of help to experts in proteomics. |
| Databáze: | OpenAIRE |
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