About the Practical Course
Proteins and their interactions are the mainstays of any cellular process. Studying these interactions at atomic detail is invaluable, paving the route to a mechanistic understanding of biological function and providing the first essential step towards the development of new drugs. Because of the costs and challenges associated with experimental techniques, structural biologists often turn to computational methods.
Within this context, this EMBO Practical Course is designed to teach computational approaches for predicting how proteins interact with other biomolecules or ligands. For this, we will provide theoretical and applied background on state-of-the-art algorithms for sampling and scoring docking models, the use of low- and high-resolution experimental data, molecular dynamics information, coevolution-based interface predictions, as well as AI-based structure prediction techniques. By uniting different computational expertise under the umbrella of this course, we aim to create a platform to stimulate discussions on modeling challenging systems, such as molecular machines.
Roughly half of this EMBO Practical Course will consist of practical sessions where the participants will run computations on interesting biological problems. To encourage interaction between the tutors and participants and stimulate discussions, the participants will be prompted to present their own research, both in flash presentations and poster sessions and to bring their own research problems to dedicated troubleshooting sessions.
Image credit: Cath Brooksbank
About EMBO Courses and Workshops
EMBO Courses and Workshops are selected for their excellent scientific quality and timelines, provision of good networking activities for all participants and speaker gender diversity (at least 40% of speakers must be from the underrepresented gender).
Organisers are encouraged to implement measures to make the meeting environmentally more sustainable.