Alexandre Bonvin bio photo

Computational Structural Biology group focusing on dissecting, understanding and predicting biomolecular interactions at the molecular level.

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This page provide you links to software, web services and datasets of the computational structural biology group.

WEB PORTAL

All software offered as web service can be access from our web portal at:

HADDOCK

Software package for integrative modelling of biomolecular complexes

HADDOCKING GitHub repository

The GitHub repository for HADDOCK and its associated tools

  • Arctic-3D: ARCTIC-3D is a software for data-mining and clustering of protein interface information. It allows you to retrieve all the existing interface information for your desired protein from the PDBE graph database, grouping similar interfaces in interacting surfaces.
    Also available as web service

  • Binding_affinity: PRODIGY: A collection of Python scripts to predict the binding affinity in protein-protein complexes.
    Also available as web service

  • DisVis: A Python package and command-line tool to quantify and visualize the accessible interaction space of distance-restrained biomolecular complexes.
    Also available as web service

  • Fraction of common contact clustering: Clustering of biomolecular complexes based on the fraction of common contacts

  • HADDOCK-tools: A collection of useful scripts related to HADDOCK

  • PDB-tools: A collection of Python scripts for the manipulation (renumbering, changing chain and segIDs…) of PDB files. For documentation refer to https://www.bonvinlab.org/pdb-tools/.
    Also available as web service

  • PowerFit: PowerFit is a Python package and simple command-line program to automatically fit high-resolution atomic structures in cryo-EM densities.
    Also available as web service

  • Samplex: Samplex is an automatic and unbiased method to distinguish perturbed and unperturbed regions in a protein existing in two distinct states (folded/partially unfolded, bound/unbound). Samplex takes as input a set of data and the corresponding 3D structure and returns the confidence for each residue to be in a perturbed or unperturbed state.

  • WHISCY: WHISCY is a program to predict protein-protein interfaces. It is primarily based on conservation, but it also takes into account structural information.
    Also available as web service

3D-DART DNA modelling

3D-DART provides a convenient means of generating custom structural models of DNA. Our server is no longer in operation because of security issues, but you can run it yourself from a docker container. Visit for this our GitHub repo below.

Deep learning protein interactions

  • DeepRank DeepRank is a general, configurable deep learning framework for data mining protein-protein interactions (PPIs) using 3D convolutional neural networks (CNNs).

  • DeepRank-GNN DeepRank-GNN is a general, configurable deep learning framework for data mining protein-protein interactions (PPIs) using graph convolutional neural networks (CNNs).

  • DeepRank-GNN-esm DeepRank-GNN-esm is a general, configurable deep learning framework for data mining protein-protein interactions (PPIs) using graph convolutional neural networks (CNNs) and including language model features.

Benchmarks and datasets