HADDOCK
- 184 followers
- Utrecht, The Netherlands
- https://bonvinlab.org
- bonvinlab.support@uu.nl
The BonvinLab is a Computational Structural Biology group that focuses on dissecting, understanding and predicting biomolecular interactions at the molecular level. Our research is focused on the development of integrative computational methods for the study of biomolecular interactions, with a particular emphasis on the structural characterization of protein-protein and protein-ligand complexes.
We are part of theBijvoet Center for Biomolecular Research atUtrecht University, affiliated with theNetherlands eScience Center and one of the core applications of theBioExcel Center of Excellence for Computational Biomolecular Research and in the EU-IndiaGANANA collaborative project underEuroHPC.
- haddock3: TheHighAmbiguityDriven biomolecularDOCKing is our flagship software, it is an integrative platform for modelling biomolecular complexes. It is one of the most popular software for protein-protein and protein-ligand docking.
- pdb-tools: A dependency-free cross-platform swiss army knife for PDB files.
- prodigy: Predict the binding affinity of protein-protein complexes from structural data
- arctic3d: Automatic Retrieval and ClusTering of Interfaces in Complexes from 3D structural information
- proabc-2: Deep learning framework to predict antibody paratope residues
- disvis: Visualisation of conformational space restriction by distance restraints
- haddock-restraints: Generate restraints to be used in HADDOCK
- haddock-runner: Run large scale HADDOCK simulations using multiple input molecules in different scenarios
- haddock-tools: Set of useful utility scripts developed by the BonvinLab group members
- haddock-mmcif: Encode information from a HADDOCK run to a cif file to be deposited in PDB-Dev
If you would like to get in touch with us, please send an email tobonvinlab.support@uu.nl
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- haddock-runner
haddock-runner PublicRun large scale HADDOCK simulations using multiple input molecules in different scenarios
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Graph Network for protein-protein interface including language model features
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