A decision-driven framework for the mass spectrometry analysis of previously uncharacterized protein modifications
Yiying Zhu · 2026
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Description
Yiying Zhu offers a 2026 primer on hunting for unknown protein modifications with mass spectrometry. Standard searches assume the modification type is already known, which biases what analysts can find. Drug-linked attachments, chemical changes, and rare natural modifications can slip past such lists.
The framework walks readers through key decision points instead of one fixed recipe. Chemically informed guesses generate candidate modifications, then searches narrow step by step. Controls help separate real signals from artifacts. The guide also covers pinning a modification to an exact amino acid position. Zhu argues this decision-driven approach suits modifications from drugs, lab chemistry, or the body itself.
Catalog record
| CREATOR | Yiying Zhu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 64 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |