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Supported Applications

CryoZeta

  • Description

    is a de novo macromolecular structure modeling tool that integrates cryo-EM density information with a diffusion-model-based structure prediction pipeline.

  • Usage

    To list all executables provided by CryoZeta, run: $ sbgrid-list cryozeta Copy to clipboard

  • Usage Notes

    For convenience, following aliases are provided: python.cryozeta (for cuda 12) python.cryozeta_cu11 python.cryozeta_cu13 pixi.cryozeta

    Alma 8 is NOT supported for v.20260612 See (large_)inference_demo.sh for usage example.

  • Installation

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

  • Primary Citation*

    Z. Zhang, S. Li, F. Farheen, Y. Kagaya, B. Liu, N. Ibtehaz, G. Terashi, T. Nakamura, H. Zhu, K. Khan, Y. Zhang, and D. Kihara. 2026. Accurate Macromolecular Complex Modeling for Cryo-EM with CryoZeta. bioRxiv.
    (Note: Preprint)


    • *Full citation information available through

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