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Computational nanobody design through deep generative modeling and epitope landscape profiling
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AI
DOI：10.1016/j.csbj.2025.07.052.png)
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Abstract
En 中文
• A computational nanobody design approach was developed by integrating deep generative modeling with epitope profiling. • AiCDR model with dual external Guiders enhanced sequence naturalness and diversity in CDR3 generation. • Structure-based docking revealed nanobody binding hotspots enriched in functional epitopes across six representative targets. • Two nanobodies predicted to target Omicron RBD were experimentally validated to neutralize SARS-CoV-2 in vitro.
Keywords:
Protein design
Nanobody discovery
Generative adversarial network
Neutralizing nanobody
Journal
IF:
4.1
Papers:
679
Citations:
1.4W