Protein Binder Design
K-Dense-AI/drug-discovery-agent-skillsDesign new proteins that bind a chosen surface, using BindCraft's AlphaFold2-guided hallucination or the RFdiffusion backbone plus ProteinMPNN sequence pipeline. Use this skill to specify a target epitope by hotspot residue, trim a receptor to the region worth designing against, set up a design campaign, and filter the output on the in-silico metrics that predict experimental success — interface predicted TM-score, predicted aligned error at the interface, buried surface area, and shape complementarity. Also trigger on BindCraft, RFdiffusion, ProteinMPNN, minibinder, hallucination, inverse fol...
At a glance
This skill is for Marketing and helps you design protein binders for target epitopes, generate protein sequences with alphafold2, and optimize protein-surface interfaces.
git clone --depth 1 https://github.com/K-Dense-AI/drug-discovery-agent-skills
cp -r drug-discovery-agent-skills/skills/protein-binder-design ~/.claude/skills/protein-binder-design
Alphafold2RfdiffusionProteinmpnnprotein-engineeringcomputational-biologydrug-discovery
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