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    Docking & MD overview

    Locate the pocket, generate candidate poses for a small molecule, then rescore them by binding free energy — run as much of the arc as your question needs.

    sectiondocking

    Docking answers whether and how a small molecule binds a target. It's a three-step arc — locate the pocket, generate candidate poses, then rescore them by binding free energy — and you run as much of it as your question needs. This is the core of structure-based hit finding and lead optimization.

    Availability

    These tools are metered by credits and gated by your plan — plans set your monthly credits, available model families, and which modal-app tools you can run. See Plans & tiers.

    What you can achieve here

    • Find where a ligand could bind on a structure
    • Predict a small molecule's binding pose
    • Rescore poses by physics-based binding free energy
    • Screen a set of compounds against one target

    For which tool fits each, see What you can achieve.

    Tools in this section

    ToolWhat it does
    DiffDock on the platformRun blind, diffusion-based protein–ligand docking with DiffDock-L — confidence-ranked poses, not binding energies.
    MM-GBSACalculate binding free energies with GPU-accelerated MM-GBSA using OpenMM.
    P2RankPredict protein binding sites with ML-based pocket detection and druggability scoring.

    Recipes using these tools

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