{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Keenan EK"],"funding":["NIA NIH HHS","NIDDK NIH HHS","NIAID NIH HHS","National Institutes of Health"],"pagination":["1868-1878"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8106652"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["81(9)"],"pubmed_abstract":["Protein modifications modulate nearly every aspect of cell biology in organisms, ranging from Archaea to Eukaryotes. The earliest evidence of covalent protein modifications was found in the early 20th century by studying the amino acid composition of proteins by chemical hydrolysis. These discoveries challenged what defined a canonical amino acid. The advent and rapid adoption of mass-spectrometry-based proteomics in the latter part of the 20th century enabled a veritable explosion in the number of known protein modifications, with more than 500 discrete modifications counted today. Now, new computational tools in data science, machine learning, and artificial intelligence are poised to allow researchers to make significant progress in discovering new protein modifications and determining "],"journal":["Molecular cell"],"pubmed_title":["Discovering the landscape of protein modifications."],"pmcid":["PMC8106652"],"funding_grant_id":["R01 DK115568","R01 AG045351","R38 AI140297"],"pubmed_authors":["Keenan EK","Hirschey MD","Zachman DK"],"additional_accession":[]},"is_claimable":false,"name":"Discovering the landscape of protein modifications.","description":"Protein modifications modulate nearly every aspect of cell biology in organisms, ranging from Archaea to Eukaryotes. The earliest evidence of covalent protein modifications was found in the early 20th century by studying the amino acid composition of proteins by chemical hydrolysis. These discoveries challenged what defined a canonical amino acid. The advent and rapid adoption of mass-spectrometry-based proteomics in the latter part of the 20th century enabled a veritable explosion in the number of known protein modifications, with more than 500 discrete modifications counted today. Now, new computational tools in data science, machine learning, and artificial intelligence are poised to allow researchers to make significant progress in discovering new protein modifications and determining ","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 May","modification":"2025-04-04T10:16:42.575Z","creation":"2025-04-04T10:16:42.575Z"},"accession":"S-EPMC8106652","cross_references":{"pubmed":["33798408"],"doi":["10.1016/j.molcel.2021.03.015"]}}