Aggregation Methods for Quantifying PTM and Structural Changes in Bottom-Up Proteomics
Erik D. VonKaenel, Jordan C. Rozum, Tong Zhang, Kelly G. Stratton, Lisa M. Bramer, H. Steven Wiley, Wei-Jun Qian, Amy C. Sims, John T. Melchior, Song Feng · 2026
Read Aggregation Methods for Quantifying PTM and Structural Changes in Bottom-Up Proteomics by Erik D. VonKaenel, Jordan C. Rozum, Tong Zhang, Kelly G. Stratton, Lisa M. Bramer, H. Steven Wiley, Wei-Jun Qian, Amy C. Sims, John T. Melchior, Song Feng (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13248008.txt.
Description
Erik VonKaenel and co-authors test how to sum protein data in a 2026 methods study. Labs read proteins by cutting them into pieces, then must roll piece level reads back up to judge changes at marked sites.
Standard roll up suits whole protein questions but can blur site level ones, such as chemical marks or cuts that show shape shifts. The team add a site first roll up built for cut based shape work. Test runs with known answers show that mid and mean roll ups beat a plain sum. Site level reads beat piece level reads for shape work as well.
Catalog record
| CREATOR | Erik D. VonKaenel, Jordan C. Rozum, Tong Zhang, Kelly G. Stratton, Lisa M. Bramer, H. Steven Wiley, Wei-Jun Qian, Amy C. Sims, John T. Melchior, Song Feng |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |