The example of bioinformatic tools for prediction of MHC binding peptides used in immunopeptidomics workflow
| Tools | Prediction |
|---|---|
| NetMHCPan 4.1 | Binding of peptides to any MHC class I with known sequence |
| NetMHCIIpan - 4.1 | Binding of peptides to any MHC class II with known sequence |
| NetMHCphosPan - 1.0 | Binding of phosphorylated peptides to any MHC with known sequence |
| NNAlign - 2.1 | Generating artificial neural network models of receptor-ligand interactions |
| MHCMotifDecon - 1.0 | Supervising method for motif deconvolution of MHC peptidome data |
| GibbsCluster | Server for unsupervised alignment and clustering of peptide sequences |
| MHCcluster - 2.0 | Clustering MHC class I molecules (MHCI) based on their predicted binding specificity |
SP: Conceptualization, Writing—review & editing. NK: Conceptualization, Visualization. PS: Conceptualization, Writing—review & editing. SR: Conceptualization, Writing—review & editing. YM: Conceptualization, Writing—review & editing. KP: Writing—review & editing. ST: Conceptualization, Writing—original draft, Writing—review & editing. All authors read and approved the submitted version.
The authors declare that they have no conflicts of interest.
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© The Author(s) 2024.