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HADDOCK

  • Description

    (High Ambiguity Driven biomolecular DOCKing) relies on an approach that makes use of biochemical and/or biophysical interaction data, such as chemical shift perturbation data resulting from NMR titration experiments, mutagenesis data or bioinformatic predictions.

  • Installation

    Use the following command to install this title with the CLI client: $ sbgrid-cli install haddock Copy to clipboard

  • Primary Citation*

    C. Dominguez, R. Boelens, and A. M. J. J. Bonvin. 2003. HADDOCK: a protein-protein docking approach based on biochemical and/or biophysical information. Journal of the American Chemical Society. 125(7): 1731-1737.

    G. C. P. van Zundert, J. P. G. L. M. Rodrigues, M. Trellet, C. Schmitz, P. L. Kastritis, E. Karaca, A. S. J. Melquiond, M. van Dijk, S. J. de Vries, and A. M. J. J. Bonvin. 2016. The HADDOCK2.2 webserver: User-friendly integrative modeling of biomolecular complexes. Journal of Molecular Biology. 428(4): 720-725.


    • *Full citation information available through

  • Webinars

    Topic: Modelling biomolecular complexes using HADDOCK: local vs server mode.
    Presenter: Alexandre Bonvin, Computational Structural Biology group, Bijvoet Center for Biomolecular Research, University of Utrecht, The Netherlands

    Host: Jason Key
    Recorded on September 8, 2015

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