BioBind
Design antibodies, nanobodies, scFvs, and peptides with high affinity and low immunogenicity.
The most advanced tool for designing high-affinity binders like antibodies, nanobodies, scFvs, and peptides against any target. BioBind combines AI, physics, and evolutionary principles for best-in-class performance.
Estimated resource cost: 0.001178
Categories: Protein Design
Tags: Affinity Prediction Antibodies Developability Immunogenicity Other Binders Peptides Proteins Solubility Stability
Key Capabilities
- Supports the design of antibodies, nanobodies, scFvs, and peptides against arbitrary protein or complex targets.
- Automatically performs in silico affinity maturation, achieving predicted affinities in the -15 to -20 kcal/mol range.
- Allows programmable design for properties such as high solubility, low immunogenicity, and enhanced thermal/solvent stability.
- Employs a hybrid AI framework combining deep learning with evolutionary constraints and physics-based simulations.
- Outperforms pure ML-based approaches in both predicted binding affinity and developability.
- Produces diverse candidate binders that adhere to biologically realistic structural and functional constraints.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 38437 |
| runtime_median | 28437 |
| runtime_std | 30674 |
| runtime_90th_percentile | 73295 |
| runtime_max | 301808 |
Similar Tools
- BindFilter
- ProteinMPNN-ddG
- StaB-ddG
- BioPhi
Ready to submit your job?
Review your configuration, then confirm the estimated credit cost before you run the job. Note that credit estimates are not guaranteed and runtime can vary depending on inputs and settings.
Estimated Credits: 0.001178
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.