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A High-Quality Acetylation Dataset Reveals Modest Data Requirements for Transfer Learning to Identify Little Studied Post-Translational Modifications

2026-06-30

Abstract excerpt

Dysregulation of post-translational modifications (PTMs) is associated with severe pathologies, including cancers and Alzheimer’s disease. Despite their biological importance, identifying modified peptides remains challenging due to the immense combinatorial search space. While searches benefit from prior knowledge of a peptide’s modification status, the data scarcity for most PTMs hinders the development of accur...

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Literature Corpus work
569d97dc-b6e5-5531-b824-901daf07fb73
DOI
10.64898/2026.06.25.733353
Open publication

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A High-Quality Acetylation Dataset Reveals Modest Data Requirements for Transfer Learning to Identify Little Studied Post-Translational ModificationsDOI 10.64898/2026.06.25.733353
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