AI‐driven antibody design from an antigen sequence
Abstract
Large protein language models are used to generate fully human, paired-chain antibodies directly from an antigen sequence, with measurable binding in vitro. The monoclonal antibody generator tool and validation study by Wasdin et al.1 published in Cell provides a strong experimental case for this direction and underscores the need for a critical assessment of structure prediction-like, community benchmark to compare de novo antibody design strategies.
Fields of Study & Subjects
Monoclonal and Polyclonal Antibodies Research
vaccines and immunoinformatics approaches
Protein Structure and Dynamics
Publication details
- Journal / source
- Vita
- Volume
- 1
- Issue
- 1
- Pages
- 5–5
- Publication date
- 1 January 2026
- Language
- EN