{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["7(23)"],"submitter":["Jia J"],"pubmed_abstract":["Carbonylation is a posttranslational modification (PTM or PTLM), where a carbonyl group is added to lysine (K), proline (P), arginine (R), and threonine (T) residue of a protein molecule. Carbonylation plays an important role in orchestrating various biological processes but it is also associated with many diseases such as diabetes, chronic lung disease, Parkinson's disease, Alzheimer's disease, chronic renal failure, and sepsis. Therefore, from the angles of both basic research and drug development, we are facing a challenging problem: for an uncharacterized protein sequence containing many residues of K, P, R, or T, which ones can be carbonylated, and which ones cannot? To address this problem, we have developed a predictor called iCar-PseCp by incorporating the sequence-coupled informat"],"journal":["Oncotarget"],"pagination":["34558-70"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5085176"],"repository":["biostudies-literature"],"pubmed_title":["iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC."],"pmcid":["PMC5085176"],"pubmed_authors":["Liu Z","Chou KC","Xiao X","Liu B","Jia J"],"additional_accession":[]},"is_claimable":false,"name":"iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC.","description":"Carbonylation is a posttranslational modification (PTM or PTLM), where a carbonyl group is added to lysine (K), proline (P), arginine (R), and threonine (T) residue of a protein molecule. Carbonylation plays an important role in orchestrating various biological processes but it is also associated with many diseases such as diabetes, chronic lung disease, Parkinson's disease, Alzheimer's disease, chronic renal failure, and sepsis. Therefore, from the angles of both basic research and drug development, we are facing a challenging problem: for an uncharacterized protein sequence containing many residues of K, P, R, or T, which ones can be carbonylated, and which ones cannot? To address this problem, we have developed a predictor called iCar-PseCp by incorporating the sequence-coupled informat","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Jun","modification":"2025-04-26T15:08:35.072Z","creation":"2019-03-27T02:27:47Z"},"accession":"S-EPMC5085176","cross_references":{"pubmed":["27153555"],"doi":["10.18632/oncotarget.9148"]}}