Run a new workflow

View all 5
  • Virtual Screening

    Dock a compound library against your target and narrow it down by score and properties.

    1 credit / compound

  • AI Cofolding

    Predict complexes of proteins, ligands, DNA and RNA with Boltz-2.

    From 100 credits

  • TSAP (Boltz-2)

    Predict compound activity with a model tuned for one target.

    From 100 credits

  • TSAP (AI-QSAR)

    Predict activity from docking interactions and see what drives it.

    From 100 credits

  • Compound Generation

    Keep a reference compound's scaffold and let a generative model build new side groups.

    From 10 credits

AI assistant

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Example results

Target models

View all 8
  • CBLBImmuno-oncology · TSAP(Boltz-2) · TSAP(AI-QSAR)Validation r 0.857
  • MAP4K1Immuno-oncology · TSAP(Boltz-2) · TSAP(AI-QSAR)Validation r 0.882
  • EGFROncology · TSAP(Boltz-2) · TSAP(AI-QSAR)Validation r 0.899
  • GLP1RMetabolic · TSAP(Boltz-2) · TSAP(AI-QSAR)Validation r 0.884