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Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework
As a newly discovered post-translational modification (PTM), lysine malonylation (Kmal) regulates a myriad of cellular processes from prokaryotes to eukaryotes and has important implications in human diseases. Despite its functional significance, computational methods to accurately identify malonyla...
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| Udgivet i: | Brief Bioinform |
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| Main Authors: | , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Oxford University Press
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6954445/ https://ncbi.nlm.nih.gov/pubmed/30351377 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bby079 |
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