Kai’s paper DeepRescore: leveraging deep learning to improve peptide identification in immunopeptidomics has...

Kai’s paper DeepRescore: leveraging deep learning to improve peptide identification in immunopeptidomics has been published in Proteomics. Congratulations, Kai! DeepRescore integrates peptide features derived from deep learning predictions, namely accurate retention time and MS/MS spectra predictions, into the rescoring of peptide-spectrum matches, which increases both the sensitivity and reliability of the identification of MHC-bound peptides and neoantigens. DeepRescore is developed using NextFlow and Docker and is available at https://github.com/bzhanglab/DeepRescore.