Faculty Opinions recommendation of HADDOCK: a protein-protein docking approach based on biochemical or biophysical information.

By K. Downing. 2003

176 citations recorded by the source corpus.

Subfields: Molecular Biology, Computational Chemistry & Drug Discovery

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Alexandre M. J. J. Bonvin
2. M. V. van Dijk
3. Dima Kozakov
4. Bing Xia
5. Kathryn A. Porter
6. Sandor Vajda
7. David R. Hall
8. Dmitri Beglov

In Computational Chemistry & Drug Discovery

1. M. V. van Dijk
2. A. Brunger
3. Kathryn A. Porter
4. David R. Hall
5. Dima Kozakov
6. Alexandre M. J. J. Bonvin
7. Glaucius Oliva
8. Sandor Vajda

Citations in the corpus

• Molecular Docking and Structure-Based Drug Design Strategies (2015, methodology): “One of these methods, the HADDOCK approach, employs chemical shift perturbation data produced by NMR titration assays as well as information obtained from mutagenesis experiments, to identify the interacting residues and score the predicted binding conformations [124].”
• The HADDOCK2.4 web server for integrative modeling of biomolecular complexes (2024, unknown): “The HADDOCK 23 ( H igh A mbiguity D riven DOCK ing) software is one of the pioneers in integrative modeling.”
• The HADDOCK web server for data-driven biomolecular docking (2010, methodology): “Among all the docking methods participating in CAPRI, only HADDOCK 5–7 follows a true data-driven strategy.”
• The ClusPro web server for protein-protein docking (2017, methodology): “The restraint-based HADDOCK method by Bonvin and co-workers also provided good predictions for many targets 69,70 .”
• Version 1.2 of the Crystallography and NMR system (2007, methodology): “In other words, the Fourier coefficients for the particular electron density map are computed and then equation (4) is applied to them.”