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A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
BACKGROUND: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as odorant presenters. Although several sequence based search methods have been exploited for protein family prediction, less...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216042/ https://www.ncbi.nlm.nih.gov/pubmed/17880712 http://dx.doi.org/10.1186/1471-2105-8-351 |