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Document Type |
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Article In Journal |
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Document Title |
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iPTM-mLys: identifying multiple lysine PTM sites and their different types iPTM-mLys: identifying multiple lysine PTM sites and their different types |
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Document Language |
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English |
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Abstract |
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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. |
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ISSN |
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1460-2059 |
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Journal Name |
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Bioinformatics |
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Volume |
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32 |
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Issue Number |
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20 |
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Publishing Year |
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1437 AH
2016 AD |
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Article Type |
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Article |
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Added Date |
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Wednesday, July 12, 2017 |
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Researchers
| Qiu WR | WR, Qiu | Researcher | Doctorate | |
| Sun BQ | BQ, Sun | Researcher | Doctorate | |
| Xiao X | X, Xiao | Researcher | Doctorate | |
| Xu ZC | ZC, Xu | Researcher | Doctorate | |
| Chou KC | KC, Chou | Researcher | Doctorate | |
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