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Biochemistry; Medical biochemistry; Omics; Proteomics

In the ongoing evolution of proteomics, understanding post-translational modifications (PTMs) has become critical. Among these modifications, malonylation, a less commonly studied yet impactful alteration of lysine residues on proteins, presents intriguing opportunities for further inquiry. Recognizing and mapping these malonylation sites is not merely an academic exercise; it carries implications for deciphering various biological processes and disease mechanisms. In their recent work, researchers Xu, Qian, and Yang propose a novel methodology that combines AlphaFold2, an advanced protein structure prediction tool, with ensemble learning algorithms to enhance the identification of malonylation sites significantly.