HDX-MS-Guided computational modeling for rapid and accurate antibody-antigen interface mapping
Will McMahon, Hanzhi Zhang, Xiuling Li, Vaheh Oganesyan, Sterling Payne, Nurjahan Mehzabeen, Nydia van Dyk, Wenhai Liu, Wesley Howard, Pengyi Zhao, Yeying Zhang, Mulin Fang, Xiaoyu Chen, Yariv Mazor, Yu Shi · 2026
Read HDX-MS-Guided computational modeling for rapid and accurate antibody-antigen interface mapping by Will McMahon, Hanzhi Zhang, Xiuling Li, Vaheh Oganesyan, Sterling Payne, Nurjahan Mehzabeen, Nydia van Dyk, Wenhai Liu, Wesley Howard, Pengyi Zhao, Yeying Zhang, Mulin Fang, Xiaoyu Chen, Yariv Mazor, Yu Shi (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-13577250.txt.
Description
Will McMahon and colleagues present a two thousand twenty-six workflow for mapping where antibodies grip their targets. Precise grip maps guide early design of therapeutic antibodies. Crystal and microscope structures are accurate but slow, costly, and labour heavy.
Their workflow feeds exchange-based mass spectrometry data into computer docking models. Peptide-level data alone guided accurate maps in three real discovery cases. A finer targeted method sharpened one map further, pinpointing key binding residues. Diverse antibody and antigen pairs were handled by the same pipeline. Drug developers get a faster route to interface maps without waiting for full experimental structures.
Catalog record
| CREATOR | Will McMahon, Hanzhi Zhang, Xiuling Li, Vaheh Oganesyan, Sterling Payne, Nurjahan Mehzabeen, Nydia van Dyk, Wenhai Liu, Wesley Howard, Pengyi Zhao, Yeying Zhang, Mulin Fang, Xiaoyu Chen, Yariv Mazor, Yu Shi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 50 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |