HDX-MS-Guided computational modeling for rapid and accurate antibody-antigen interface mapping
Accurate mapping of paratopes and epitopes at antibody-antigen (Ab-Ag) interfaces is essential for the rational design of therapeutic antibodies in early drug development. Traditional methods for determining high-resolution Ab-Ag complex structures, such as X-ray crystallography and cryo-electron microscopy, are labor-intensive and require substantial time and resources. Although recent computational approaches have increased throughput, prediction accuracy and reliability remain limited, particularly without experimental structural constraints. Here, we present a hydrogen-deuterium exchange mass spectrometry (HDX-MS)-guided structural modeling workflow for efficient and accurate epitope and paratope mapping across three prospective case studies in therapeutic protein discovery and engineering. Across these systems, peptide-level HDX-MS data were sufficient to guide docking and structural modeling, whereas targeted electron transfer dissociation (ETD) HDX-MS was applied in one system as a higher-resolution, orthogonal approach to further localize critical binding residues. The workflow was applied to diverse Ab-Ag architectures spanning Fab and VHH binders and homodimeric and heterodimeric antigen ectodomains, and HDX-MS data were integrated with HADDOCK, AlphaFold2, and Protenix to generate Ab-Ag complex models. Comparison with subsequently obtained in-house X-ray crystal structures, used here as orthogonal high-resolution reference structures, showed strong agreement in overall binding orientation and interface placement. These results demonstrate the robustness and practical utility of this integrative approach for structure-informed antibody engineering in therapeutic protein discovery.
Authors
- Nydia van Dyk (ORCID: https://orcid.org/0000-0003-2034-7688)
- Pengyi Zhao (ORCID: https://orcid.org/0000-0002-7873-1773)
- Wenhai Liu (ORCID: https://orcid.org/0000-0003-0166-7774)
- Yariv Mazor (ORCID: https://orcid.org/0009-0000-9033-9160)
- Mulin Fang
- Hanzhi Zhang (ORCID: https://orcid.org/0000-0002-5723-6116)
- N. Mehzabeen (ORCID: https://orcid.org/0000-0002-7579-0292)
- Xiaoyu Chen (ORCID: https://orcid.org/0000-0003-3561-9746)
- Xiuling Li (ORCID: https://orcid.org/0000-0002-3313-4801)
- Yu Shi (ORCID: https://orcid.org/0000-0001-6191-4787)
- Will McMahon
- Sterling Payne
- Vaheh Oganesyan
- Wesley Howard
- Yeying Zhang
Institutions
- Cell Biologics (United States) (US)
Publication Details
- Journal
- mAbs
- Published
- 2026-09-11
- DOI
- https://doi.org/10.1080/19420862.2026.2722455
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- AstraZeneca