<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Armony G</submitter><funding>Dutch Research Council (NWO)</funding><pagination>7869</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10178020</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>24(9)</volume><pubmed_abstract>Real-time database searching allows for simpler and automated proteomics workflows as it eliminates technical bottlenecks in high-throughput experiments. Most importantly, it enables results-dependent acquisition (RDA), where search results can be used to guide data acquisition during acquisition. This is especially beneficial for glycoproteomics since the wide range of physicochemical properties of glycopeptides lead to a wide range of optimal acquisition parameters. We established here the GlycoPaSER prototype by extending the Parallel Search Engine in Real-time (PaSER) functionality for real-time glycopeptide identification from fragmentation spectra. Glycopeptide fragmentation spectra were decomposed into peptide and glycan moiety spectra using common N-glycan fragments. Each moiety wa</pubmed_abstract><journal>International journal of molecular sciences</journal><pubmed_title>The GlycoPaSER Prototype as a Real-Time N-Glycopeptide Identification Tool Based on the PaSER Parallel Computing Platform.</pubmed_title><pmcid>PMC10178020</pmcid><funding_grant_id>184.034.019</funding_grant_id><pubmed_authors>Zijlstra F</pubmed_authors><pubmed_authors>Lefeber DJ</pubmed_authors><pubmed_authors>Armony G</pubmed_authors><pubmed_authors>Srikumar T</pubmed_authors><pubmed_authors>van Gool AJ</pubmed_authors><pubmed_authors>Wessels HJCT</pubmed_authors><pubmed_authors>Brehmer S</pubmed_authors><pubmed_authors>Pfennig L</pubmed_authors><pubmed_authors>Trede D</pubmed_authors><pubmed_authors>Kruppa G</pubmed_authors></additional><is_claimable>false</is_claimable><name>The GlycoPaSER Prototype as a Real-Time N-Glycopeptide Identification Tool Based on the PaSER Parallel Computing Platform.</name><description>Real-time database searching allows for simpler and automated proteomics workflows as it eliminates technical bottlenecks in high-throughput experiments. Most importantly, it enables results-dependent acquisition (RDA), where search results can be used to guide data acquisition during acquisition. This is especially beneficial for glycoproteomics since the wide range of physicochemical properties of glycopeptides lead to a wide range of optimal acquisition parameters. We established here the GlycoPaSER prototype by extending the Parallel Search Engine in Real-time (PaSER) functionality for real-time glycopeptide identification from fragmentation spectra. Glycopeptide fragmentation spectra were decomposed into peptide and glycan moiety spectra using common N-glycan fragments. Each moiety wa</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Apr</publication><modification>2025-04-18T15:14:16.831Z</modification><creation>2025-04-07T01:50:01.927Z</creation></dates><accession>S-EPMC10178020</accession><cross_references><pubmed>37175577</pubmed><doi>10.3390/ijms24097869</doi></cross_references></HashMap>