Dear-PSM: A deep learning-based peptide search engine enables full database search for proteomics.

ABSTRACT: Peptide spectrum matching is the process of linking mass spectrometry data with peptide sequences. An experimental spectrum can match thousands of candidate peptides with variable modifications leading to an exponential increase in candidates. Completing the search within a limited time is a key challenge. Traditional searches expedite the process by restricting peptide mass errors and variable modifications, but this limits interpretive capability. To address this challenge, we propose Dear-PSM, a peptide search engine that supports full database searching. Dear-PSM does not restrict peptide mass errors, matching each spectrum to all peptides in the database and increasing the number of variable modifications per peptide from the conventional 3-20. Leveraging inverted index technology, De

SUBMITTER: He Q 

PROVIDER: S-EPMC11425048 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature