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ROCKET

  • Description

    is a tool for refining AlphaFold predictions using crystallographic and cryo-EM likelihood targets. It integrates with OpenFold to condition experimental structure determination on pretrained neural networks, requiring both OpenFold and Phenix installations for automatic data preprocessing and post-refinement geometry polishing.

  • Usage

    To list all executables provided by ROCKET, run: $ sbgrid-list rocket Copy to clipboard

  • Installation

    Use the following command to install this title with the CLI client: $ sbgrid-cli install rocket Copy to clipboard Available operating systems: Linux 64

  • Primary Citation*

    Fadini, Alisia, Li, Minhuan, McCoy, J. Airlie, Terwilliger, C. Thomas, Read, J. Randy, Hekstra, Doeke, AlQuraishi, and Mohammed. 2025. AlphaFold as a Prior: Experimental Structure Determination Conditioned on a Pretrained Neural Network. bioRxiv.


    • *Full citation information available through

  • Webinars

    ROCKET

    SBGrid webinars are hosted with partial support from the NIH R25 Continuing Education for Structural Biology Mentors #GM151273, in collaboration with Co-PI Jamaine Davis of Belmont University.

    Topic:
    AlphaFold as a Prior: Guiding Protein Structure Prediction Using Experimental Data with ROCKET.

    Alisia Fadini Postdoc, Read Lab, University of Cambridge and AlQuraishi Lab, Columbia University.

    Host: Pete Meyer
    Recorded on October 14, 2025


    For more information on ROCKET:
    https://github.com/alisiafadini/ROCKET

    For more information on AlphaFold:
    https://sbgrid.org/software/titles/alphafold

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