| First Author | Martínez-Naves E | Year | 2011 |
| Journal | FEBS Lett | Volume | 585 |
| Issue | 21 | Pages | 3478-84 |
| PubMed ID | 22001201 | Mgi Jnum | J:177498 |
| Mgi Id | MGI:5295315 | Doi | 10.1016/j.febslet.2011.10.007 |
| Citation | Martinez-Naves E, et al. (2011) Recognition of the ligand-type specificity of classical and non-classical MHC I proteins. FEBS Lett 585(21):3478-84 |
| abstractText | Functional characterization of proteins belonging to the MHC I superfamily involves knowing their cognate ligands, which can be peptides, lipids or none. However, the experimental identification of these ligands is not an easy task and generally requires some a priori knowledge of their chemical nature (ligand-type specificity). Here, we trained k-nearest neighbor and support vector machine classifiers that predict the ligand-type specificity MHC I proteins with great accuracy. Moreover, we applied these classifiers to human and mouse MHC I proteins of uncharacterized ligands, obtaining some results that can be instrumental to unravel the function of these proteins. |
