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ImmuneBuilder

  • Description

    ImmuneBuilder is a high-performance deep learning framework developed by the Oxford Protein Informatics Group (OPIG) specifically for predicting the 3D structures of immune receptor proteins.

    By specializing in antibodies, nanobodies, and T-cell receptors (TCRs), it achieves state-of-the-art accuracy while delivering results over 100 times faster than general-purpose models like AlphaFold2.

  • Usage

    To list all executables provided by ImmuneBuilder, run: $ sbgrid-list immunebuilder Copy to clipboard

  • Installation

    Use the following command to install this title with the CLI client: $ sbgrid-cli install immunebuilder Copy to clipboard Available operating systems: Linux 64, OS X INTEL

  • Primary Citation*

    B. Abanades, W. K. Wong, F. Boyles, G. Georges, A. Bujotzek, and C. M. Deane. 2023. ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins. Communications biology. 6(1): 575.


    • *Full citation information available through

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