Generative Deep Learning Design of Single-Domain Antibodies Against Venezuelan Equine Encephalitis Virus
This study demonstrates how generative AI can expedite antiviral therapeutic development and establishes a framework for quick responses to emerging viral threats when extensive example databases are unavailable. Additional refinement and validation of AI-generated sdAbs could establish effective VEEV therapeutics.
Authors
- Lisa C. Shriver‐Lake (ORCID: https://orcid.org/0000-0002-9894-6640)
- Ellen R. Goldman (ORCID: https://orcid.org/0000-0001-9533-7455)
- Scott N. Dean (ORCID: https://orcid.org/0000-0002-3394-6164)
- Jerome Anthony E. Alvarez (ORCID: https://orcid.org/0009-0001-2061-972X)
- Jinny L. Liu
- Gabrielle C. Bayacal
Institutions
- United States Naval Research Laboratory (US)
- Naval Research Laboratory Center for Bio/Molecular Science and Engineering
Publication Details
- Journal
- Antibodies
- Published
- 2025-05-14
- DOI
- https://doi.org/10.3390/antib14020041
- Citations
- 1
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Defense Threat Reduction Agency
- Office of Naval Research