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.