Computational Prediction of Single-Domain Immunoglobulin Aggregation Propensities Facilitates Discovery and Humanization of Recombinant Nanobodies
AI-based prediction of VHH structures, followed by analysis of framework region 2 properties, can be used to predict the aggregation propensities of VHHs, providing a convenient and efficient tool for selecting stable recombinant nanobodies.
Authors
- Brian Rabinovich (ORCID: https://orcid.org/0000-0002-8499-4297)
- Jeffrey Takimoto
- Harald Kolmar (ORCID: https://orcid.org/0000-0002-8210-1993)
- Felix Klaus Geyer
- Xueyuan Zhou (ORCID: https://orcid.org/0000-0002-9624-5189)
- Karlheinz Friedrich
- Julian Borbeck
- Wiktoria Palka
- Bernd Reifenhäuser
Institutions
- Technische Universität Darmstadt (DE)
- BioNTech (Germany) (DE)
- Drug Discovery Laboratory (Norway) (NO)
Publication Details
- Journal
- Antibodies
- Published
- 2025-08-28
- DOI
- https://doi.org/10.3390/antib14030073
- Citations
- 2
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 2.72