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SettingsResearch demo · not for clinical or commercial use
Corollary
  1. Catalog
  2. Protein Design
  3. BindCraft

Protein Design · Ovchinnikov Lab / Baker Lab

BindCraft

AF2-guided hallucination that co-folds target and binder — ~10 screens to a hit.

Commercial use permittedThe MIT licence allows use in commercial research and products.MIT
Availability
Not runnable yet

No backend is configured for this model.

Typical latency
15min
Credits per run
~6,300
Compute tier
C · Heavy

5–30min

Not runnable yet

This model isn't available to run right now.

Run this model

BindCraft

Optional epitope constraint on the target chain.

Needs target structure (pdb)

About this model

BindCraft designs binders by hallucinating through AlphaFold2 while co-folding the target and candidate. Reported experimental hit rates need roughly ten screens rather than hundreds, and the whole pipeline is open source — which makes it the commercial-tier answer to RFDiffusion's licensing constraint.

Standardized I/O contract

Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.

Inputs

  • target_pdbtextarea · required

    Target structure (PDB)

  • hotspotstext

    Hotspot residues

  • binder_lengthnumber

    Binder length

Outputs

  • pdbstructure

    All-atom coordinates in PDB format, viewable and downloadable.

  • designstable

    Ranked binders with interface pAE, ipTM and shape complementarity.

Specification

Hardware
2× A100
GPU memory
40 GB
Version
1.1
Licence
MIT
Backend
not configured
MCP server
mcp-protein-server

Tasks

binder design

Chains well with

  • ProteinMPNNInverse folding: given a backbone, design sequences that actually fold onto it.
  • Boltz-2Structure and binding affinity in one pass, approaching FEP accuracy 1000× faster.

Source

  • Repository
binder-designhallucinationcommercial-ok