<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Geiszler DJ</submitter><funding>NCI NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIGMS NIH HHS</funding><pagination>100018</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7950090</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>20</volume><pubmed_abstract>Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single modification or a combination of several modifications. Here we present PTM-Shepherd, a bioinformatics tool that automates characterization of post-translational modification profiles detected in open searches based on attributes, such as amino acid localization, fragmentation spectra similarity, retention time shifts, and relative modification rates. PTM-Shepherd can also perform multiexperiment comparisons for studying changes in modification profiles, e.g., in data generated in different labo</pubmed_abstract><journal>Molecular &amp; cellular proteomics : MCP</journal><pubmed_title>PTM-Shepherd: Analysis and Summarization of Post-Translational and Chemical Modifications From Open Search Results.</pubmed_title><pmcid>PMC7950090</pmcid><funding_grant_id>R01 GM094231</funding_grant_id><funding_grant_id>R01 GM135504</funding_grant_id><funding_grant_id>T32 GM070449</funding_grant_id><funding_grant_id>T32 CA140044</funding_grant_id><funding_grant_id>U24 CA210967</funding_grant_id><pubmed_authors>Leprevost FDV</pubmed_authors><pubmed_authors>Avtonomov DM</pubmed_authors><pubmed_authors>Geiszler DJ</pubmed_authors><pubmed_authors>Yu F</pubmed_authors><pubmed_authors>Kong AT</pubmed_authors><pubmed_authors>Nesvizhskii AI</pubmed_authors></additional><is_claimable>false</is_claimable><name>PTM-Shepherd: Analysis and Summarization of Post-Translational and Chemical Modifications From Open Search Results.</name><description>Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single modification or a combination of several modifications. Here we present PTM-Shepherd, a bioinformatics tool that automates characterization of post-translational modification profiles detected in open searches based on attributes, such as amino acid localization, fragmentation spectra similarity, retention time shifts, and relative modification rates. PTM-Shepherd can also perform multiexperiment comparisons for studying changes in modification profiles, e.g., in data generated in different labo</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021</publication><modification>2026-05-09T09:50:38.922Z</modification><creation>2025-04-06T13:14:19.091Z</creation></dates><accession>S-EPMC7950090</accession><cross_references><pubmed>33568339</pubmed><doi>10.1074/mcp.TIR120.002216</doi></cross_references></HashMap>