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E3-CryoFold

  • Description

    a deep learning framework for automating the determination of three-dimensional atomic structures from high-resolution cryo-electron microscopy (Cryo-EM) density maps. It addresses the limitations of existing AI-based methods by providing an end-to-end solution that integrates training and inference into a single streamlined pipeline. E3-CryoFold combines 3D and sequence Transformers for feature extraction and employs an equivariant graph neural network to build accurate atomic structures from density maps.

  • Usage

    To list all executables provided by E3-CryoFold, run: $ sbgrid-list e3-cryofold Copy to clipboard

  • Installation

    Use the following command to install this title with the CLI client: $ sbgrid-cli install e3-cryofold Copy to clipboard Available operating systems: Linux 64

  • Primary Citation*

    S. Chen, S. Zhang, X. Fang, L. Lin, H. Zhao, and Y. Yang. 2024. Protein complex structure modeling by cross-modal alignment between cryo-EM maps and protein sequences. Nature communications. 15(1): 8808.


    • *Full citation information available through

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