EMVO: Worksshop When predictions meet experiments: the next challenges in structural biology
Prash
About the Workshop
Building on the success of the 2022 EMBO Workshop “When Predictions Meet Experiments: The Future of Structure Determination”, this second edition continues the journey at the interface of computational predictions and experimental structure determination. While the past years have witnessed remarkable advancements, particularly with AI-driven approaches such as AlphaFold and RosettaFold, many challenges remain in fully understanding macromolecular structures, their dynamics, and functional mechanisms.
This EMBO Workshop will explore key open questions in the field, including the structure and behavior of intrinsically disordered proteins, multi-domain systems, large molecular machines, and RNA molecules. Special attention will be given to integrating machine learning and AI predictions with experimental techniques, a frontier still evolving and requiring deeper synergy between disciplines.
The Workshop will consist of lectures by leading computer scientists and computational and experimental structural biologists. By bringing these communities together, the event aims to foster discussions, inspire new collaborations, and drive forward the development of innovative methodologies, rather than detailing technical aspects. The ultimate goal is to bridge the remaining gaps and push the boundaries of Structural Biology toward a more comprehensive understanding of the molecular world.
This EMBO Workshop is principally aimed at the mature graduate student/postdoctoral level, but applications from scientists at all levels are encouraged.
About EMBO Courses and WorkshopsEMBO 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.
Yours
Arne
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Arne Elofsson Science for Life Laboratory
Tel:+46-(0)70 695 1045 Stockholm University
http://bioinfo.se/ Box 1031,
Email: ar...@bioinfo.se 17121 Solna, SwedenBluesky: @arneelof.bsky.socialTwitter/X: @arneelofMastodon: @arne...@fediscience.org