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The prediction of the quaternary structure of biomolecular macromolecules is of paramount importance for fundamental understanding of cellular processes and drug design. In the era of integrative structural biology, one way of increasing the accuracy of modelling methods used to predict the structure of biomolecular complexes is to include as much experimental or predictive information as possible in the process. We have developed for this purpose a versatile information-driven docking approach HADDOCK (https://wenmr.science.uu.nl/haddock2.4/). HADDOCK can integrate a large variety of information derived from biochemical, biophysical or bioinformatics methods to enhance sampling, scoring, or both. In this webinar Prof. Alexandre Bonvin introduces the new 2.4 version of HADDOCK and its web portal supported by European Open Science Cloud (EOSC)/EGI HTC resources. In particular the webinar highlights the new options compared to the previous 2.2 version, and takes you through a guided tour of the portal, presenting some of the new features and providing some tips on what to do and not do.