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inSPIRE Motivation & Development

inSPIRE was developed at the Quantitative and Systems Biology group at the Max Planck Institute for Multidisciplinary Sciences. We are particulary interested in finding non-canonical peptides in large search spaces. In particular, we are focussed on the identification and characterization of proteasomse catalyzed peptide splicing both in immunopeptidomics data (1, 2, 3) and in in vitro assays (4, 5, 6). The challenges posed by these large search spaces (7, 8) necessitated improvements in peptide identification. In order to leverage the advances made by Prosit (9, 10) and NetMHCpan (11) we developed inSPIRE (12) as a flexible tool for enhanced peptide identification leveraging these tools. It quickly became apparent that inSPIRE had benefits in many applications beyond non-canonical peptide identification. In particular, we developed inSPIRE-Pathogen for identifying pathogen peptides in immunopeptidomics data and developed this web server to enable easy access.

We look forward to further developing inSPIRE in the future.

Outside of the primary developers, inSPIRE and inSPIRE-interactive have benefited from input from within the Quantitative and Systems Biology group and our collaborators.





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