Corollary

Research

  • Papers

Library

  • Catalog

Account

  • Jobs
  • Billing
SettingsResearch demo · not for clinical or commercial use
Corollary
  1. Catalog
  2. Protein Structure
  3. Chai-1

Protein Structure · Chai Discovery

Chai-1

Open multimodal complex prediction across proteins, nucleic acids and ligands.

Verify the licence before commercial useThe Chai Discovery Community License licence carries terms worth reading before you depend on it.Chai Discovery Community License
Availability
On demand
Typical latency
4.0min
Credits per run
~1,260
Compute tier
C · Heavy

5–30min

Runs on On-demand GPU

Runs on our servers with on-demand compute. A first run needs time to load the model; active capacity can be reused and scales down when idle.

Run this model

Chai-1

One entity per line; SMILES for ligands. Chai-1 FASTA headers are understood too.

Needs entity sequences

About this model

Chai-1 is the credible open alternative to AlphaFold3 for multi-entity complexes. It handles protein–protein, protein–nucleic-acid and protein–ligand assemblies in one model, with open weights for research use.

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

  • sequencesequence · required

    Entity sequences

  • use_msaselect

    Search for homologues (MSA)

  • recyclesnumber

    Recycles

  • samplesnumber

    Structures to sample

Outputs

  • pdbstructure

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

  • plddtvector

    pLDDT score per residue (0–100). Above 70 is generally reliable.

Specification

Hardware
2× A100
GPU memory
40 GB
Version
1.0
Licence
Chai Discovery Community License
Backend
On demandOn-demand GPU
MCP server
mcp-protein-server

Tasks

complex predictionstructure prediction

Source

  • Repository
complexesmultimodalaf3-alternative