Supported Applications

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
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: Haddock

Presenter: Prof. Alexandre Bonvin, University Utrecht

Host: Jason Key
Recorded on: June 29, 2021

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