Document Details

Document Type : Article In Journal 
Document Title :
iPTM-mLys: identifying multiple lysine PTM sites and their different types
iPTM-mLys: identifying multiple lysine PTM sites and their different types
Document Language : English 
Abstract : MOTIVATION: Post-translational modification, abbreviated as PTM, refers to the change of the amino acid side chains of a protein after its biosynthesis. Owing to its significance for in-depth understanding various biological processes and developing effective drugs, prediction of PTM sites in proteins have currently become a hot topic in bioinformatics. Although many computational methods were established to identify various single-label PTM types and their occurrence sites in proteins, no method has ever been developed for multi-label PTM types. As one of the most frequently observed PTMs, the K-PTM, namely, the modification occurring at lysine (K), can be usually accommodated with many different types, such as 'acetylation', 'crotonylation', 'methylation' and 'succinylation'. Now we are facing an interesting challenge: given an uncharacterized protein sequence containing many K residues, which ones can accommodate two or more types of PTM, which ones only one, and which ones none? RESULTS: To address this problem, a multi-label predictor called IPTM-MLYS: has been developed. It represents the first multi-label PTM predictor ever established. The novel predictor is featured by incorporating the sequence-coupled effects into the general PseAAC, and by fusing an array of basic random forest classifiers into an ensemble system. Rigorous cross-validations via a set of multi-label metrics indicate that the first multi-label PTM predictor is very promising and encouraging. 
ISSN : 1460-2059 
Journal Name : Bioinformatics 
Volume : 32 
Issue Number : 20 
Publishing Year : 1437 AH
2016 AD
Article Type : Article 
Added Date : Wednesday, July 12, 2017 


Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Qiu WRWR, Qiu ResearcherDoctorate 
Sun BQBQ, Sun ResearcherDoctorate 
Xiao XX, Xiao ResearcherDoctorate 
Xu ZCZC, Xu ResearcherDoctorate 
Chou KCKC, Chou ResearcherDoctorate 


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