Unsupervised HLA-I peptidome mining with SMSNet
downstream-application
Unsupervised HLA-I peptidome mining with SMSNet: downstream-application. Applies the SMSNet hybrid de novo approach to mono-allelic HLA-I peptidomics data to find new ligands, refine binding motifs and flag likely contaminant peptides in…
Applies the SMSNet hybrid de novo approach to mono-allelic HLA-I peptidomics data to find new ligands, refine binding motifs and flag likely contaminant peptides in community databases.
| Kind | downstream-application |
| Deep learning | yes |
| Acquisition | DDA |
| Application area | Immunopeptidomics / neoantigen |
Papers describing it (2)
- Unsupervised mining of HLA-I peptidomes reveals new binding motifs and substantial false positives in community database (2021, bioRxiv, preprint)
- Unsupervised Mining of HLA-I Peptidomes Reveals New Binding Motifs and Potential False Positives in the Community Database (2022, Frontiers in Immunology, peer-reviewed)