This workshop on integrative modelling of
protein-protein interactions will run from the 1st - 2nd April 2019 at
EMBL-EBI, Hinxton, starting at lunch time on the Monday. It will run prior to
the 7th CAPRI Assessment Meeting, which will also take place at the Wellcome
Genome Campus (3rd to 5th April 2019).
For information about the venue and the CAPRI meeting please refer to events website
The aim of this practical course is to train young researchers in the computational modelling of protein-protein interactions using a variety of data sources, including X-ray crystallography, NMR, SAXS, cross-linking mass spectrometry and Cryo-EM. The course will introduce and make extensive use of common software and e-science portals to facilitate the adoption of the methods and techniques by the students in their everyday work. Each session (2 hours) will consist of an introductory lecture followed by a hands on computer practical.
Lead contact: Prof. Dr. Alexandre M.J.J. Bonvin – email@example.com
Number of participants: 25 students
Registration is free for participants from INSTRUCT countries and £250 from other countries. Visit the website to find out if you are from a participating INSTRUCT country.
Please note accommodation is not included in the registration fee.
Registernow! Registrations close 8 March 2019.
Practical: Flexible docking with SwarmDock
Paul A. Bates, and Raphael A.G. Chaleil, Francis Crick Institute, London, UK
Practical: Integrative docking with HADDOCK
Alexandre M.J.J. Bonvin and Panos Koukos, Bijvoet Center for Biomolecular Research, Utrecht, NL
Practical: Modelling protein structures and variants: Phyre, PhyreRisk, Missense3D and EzMol
Michael J.E. Sternberg, Lawrence Kelley and Charles Tochukwu, Imperial College London, London, UK
Practical: Hands-on assessment of structural quality
Gerard Kleywegt, EMBL European Bioinformatics Institute, Cambridge, UK
Practical: Determination of macromolecular structure using Cryo-EM data
Sony Malhotra and Maya Topf, Institute of Structural and Molecular Biology, London, UK
Practical: Modelling interaction strength using machine learning
Iain H. Moal, EMBL European Bioinformatics Institute, Cambridge, UK