EndoGenius: Optimized Neuropeptide Identification from Mass Spectrometry Datasets.

ABSTRACT: Neuropeptides represent a unique class of signaling molecules that have garnered much attention but require special consideration when identifications are gleaned from mass spectra. With highly variable sequence lengths, neuropeptides must be analyzed in their endogenous state. Further, neuropeptides share great homology within families, differing by as little as a single amino acid residue, complicating even routine analyses and necessitating optimized computational strategies for confident and accurate identifications. We present EndoGenius, a database searching strategy designed specifically for elucidating neuropeptide identifications from mass spectra by leveraging optimized peptide-spectrum matching approaches, an expansive motif database, and a novel scoring algorithm to achieve bro

SUBMITTER: Fields L 

PROVIDER: S-EPMC11296898 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature