Alexandre Bonvin bio photo

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

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Education & Tutorials of the Bonvin Lab

In this page you can find links to our educational material, namely tutorials on the usage of our software and material for courses we teach at Utrecht University.


  • NMR & Molecular Modelling: A bachelor course dealing with both NMR and modelling. This link will bring you the computer practical for this course in which you will be modelling a protein-protein complex based on NMR chemical shift data.

  • Structural Bioinformatics & Modelling: A MSc course aimed at those interested in learning homology modelling, molecular simulation, and docking of biological molecules. All the material is freely available on our Github repository and makes use of Vagrant/Virtualbox.

Research projects

We offer various research projects to both bachelor and master students, all centered around our main research area: the development of reliable bioinformatics and computational approaches to predict, model and dissect biomolecular interactions at atomic level. Read more here.

Online lectures

  • Recordings of the Computer Aided Drugs Design ELIXIR 3D-BioInfo webinar by Prof. Bonvin (April 18th, 2023) on Shape-restrainted modelling of protein-small molecule complexes with HADDOCK:

      View recorded webinar (30 min.)

  • Recordings of the BioExcel summerschool HADDOCK lectures by Prof. Bonvin (June 7th, 2021):

      View recorded lecture Part I (46 min.)

      View recorded lecture Part II (43 min.)

  • Recording of a CCPBioSim lecture by Prof. Bonvin on the topic of binding affinity (Oct. 7th, 2020):

      View recorded lecture (27 min.)

  • Live demo of the HADDOCK2.4 thematic service. This demo given at the EOSC-Hub week 2020 conference shows in particular how to setup a refinement run in HADDOCK2.4 to assess the impact of a mutation, using the interaction between SARS-CoV2 RBD domain and a peptide extracted from the ACE2 receptor as an example.

      View demo