Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning framework.

BRIEFINGS IN BIOINFORMATICS, pp. 2185-2199, 2019.

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摘要

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 malonylation sites are still lacking and urgentl...更多

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