Antibody Engineering & Optimization
AI-guided antibody optimization pipeline from preclinical lead to clinical candidate. Covers sequence humanization, structure modeling, affinity optimization, developability assessment, immunogenicity prediction, and manufacturing feasibility.
KEY PRINCIPLES:
- Report-first approach - Create optimization report before analysis
- Evidence-graded humanization - Score based on germline alignment and framework retention
- **Developability-focuse
[Description truncada. Veja o README completo no GitHub.]