Automate end-to-end binder design with BindCraft and AF2 validation.
npx skills add https://github.com/adaptyvbio/protein-design-skills --skill bindcraft
Please help me install this Agent Skill. Skill: bindcraft Source: https://github.com/adaptyvbio/protein-design-skills/tree/main/skills/bindcraft Command: npx skills add https://github.com/adaptyvbio/protein-design-skills --skill bindcraft
End-to-end binder design is automated with BindCraft and AF2 validation to accelerate production campaigns and improve design quality.
Example usage: modal run modal_bindcraft.py --target-pdb target.pdb --target-chain A --binder-lengths 70-100 --hotspots A45,A67,A89 --num-designs 50
High-intent search queries and answers about installing and using this skill.
End-to-end binder design with AF2 validation is automated by running BindCraft via Modal, requiring a target PDB, chain ID, binder lengths, and hotspot residues to generate evaluated design campaigns.
Protein binder design and hotspot targeting require a target PDB file, target chain ID, specified binder lengths, and hotspot residues. You also set num_designs and select a design protocol.
Yes, BindCraft runs on Modal for production protein design campaigns. Execution requires Python 3.9+ and Modal or biomodals to process the specified target and design parameters.
Fast, default, and slow design protocols control the speed and depth of joint backbone and sequence optimization during binder design, allowing you to balance throughput against design quality.
Joint backbone and sequence optimization in binder design works by simultaneously refining the binder's structural backbone and amino acid sequence to improve binding affinity against specified hotspots.
Automated binder design generates QC metrics and complete design campaigns evaluated with AF2 validation, providing outputs directly suitable for downstream experimental testing and validation.
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adaptyvbioAutomate end-to-end binder design with BindCraft and AF2 validation.
