How to cite haddock3
Citing haddock3
Here is the list of research articles related to haddock3:
- Description of haddock3: Marco Giulini#, Victor Reys#, Joao M. C. Teixeira#, Brian Jimenez-Garcia#, Rodrigo V. Honorato#, Anna Kravchenko, Xiaotong Xu, Raphaelle Versini, Anna Engel, Stefan Verhoeven, Alexandre M.J.J. Bonvin, HADDOCK3: A modular and versatile platform for integrative modelling of biomolecular complexes BioRxiv
- Haddock3 web-application: (soon!)
- Benchmarks:
- Focused Antibody-Antigen docking: M. Giulini, C. Schneider, D. Cutting, N. Desai, C. Deane and A.M.J.J. Bonvin. Towards the accurate modelling of antibody-antigen complexes from sequence using machine learning and information-driven docking. Bioinformatics 40:btae583, p. 1-11 (2024). BioRxiv
- Glycan docking: A. Ranaudo, M. Giulini, A. Pelissou Ayuso and A.M.J.J. Bonvin. Modelling Protein-Glycan Interactions with HADDOCK. J. Chem. Inf. Mod. 64, 7816–7825 (2024).
Citing haddock3 source-code
The haddock3 source code can be cited, as the GitHub repository contains a CITATION.cff file.
For this, go to https://github.com/haddocking/haddock3 and click on the Cite this repository on the right (see image).
