{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kong D"],"funding":["NIA NIH HHS","NIDA NIH HHS","NIDDK NIH HHS","NINDS NIH HHS"],"pagination":["103"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11751189"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["8(1)"],"pubmed_abstract":["Enzymes play a pivotal role in orchestrating complex cellular responses to external stimuli and environmental changes through signal transduction pathways. Despite their crucial roles, measuring enzyme activities is typically indirect and performed on a smaller scale, unlike protein abundance measured by high-throughput proteomics. Moreover, it is challenging to derive the activity of enzymes from proteome-wide post-translational modification (PTM) profiling data. To address this challenge, we introduce enzyme activity inference with structural equation modeling under the JUMP umbrella (JUMPsem), a novel computational tool designed to infer enzyme activity using PTM profiling data. We demonstrate that the JUMPsem program enables estimating kinase activities using phosphoproteome data, ubiq"],"journal":["Communications biology"],"pubmed_title":["A computational tool to infer enzyme activity using post-translational modification profiling data."],"pmcid":["PMC11751189"],"funding_grant_id":["RF1 AG064909","RF1 AG072703","R01 DA056523","RF1 AG068581","R01 DK130913","R01 NS123456"],"pubmed_authors":["Wu L","Mishra A","High AA","Yuan ZF","Fu Y","Kong D","Wang X","Li L","Zhang A","Peng J"],"additional_accession":[]},"is_claimable":false,"name":"A computational tool to infer enzyme activity using post-translational modification profiling data.","description":"Enzymes play a pivotal role in orchestrating complex cellular responses to external stimuli and environmental changes through signal transduction pathways. Despite their crucial roles, measuring enzyme activities is typically indirect and performed on a smaller scale, unlike protein abundance measured by high-throughput proteomics. Moreover, it is challenging to derive the activity of enzymes from proteome-wide post-translational modification (PTM) profiling data. To address this challenge, we introduce enzyme activity inference with structural equation modeling under the JUMP umbrella (JUMPsem), a novel computational tool designed to infer enzyme activity using PTM profiling data. We demonstrate that the JUMPsem program enables estimating kinase activities using phosphoproteome data, ubiq","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2025-04-22T05:26:59.383Z","creation":"2025-04-05T21:20:17.952Z"},"accession":"S-EPMC11751189","cross_references":{"pubmed":["39838083"],"doi":["10.1038/s42003-025-07548-4"]}}