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Speakers: Andrea Thorn (Institute of Nano-structures and Solid State Physics, Hamburg )
Title: The potential of AI for biomolecular structure determination, prediction and validation
Abstract: Structural biology is key to understanding basic processes of life and a major driver for the development of new therapies. However, molecular structures do not directly result from the experiment, but are merely models which explain the observed data according to a priori knowledge. Consequently, our structures are only as good as our limited understanding of the underlying principles.
In crystallography, the gap between model and reality remains clearly evident in hard to interpret maps and large residual values ("R values"). In cryo-EM, model properties do not align well with the actual specimen. With Artificial Intelligence (AI) based protein fold prediction now revolutionizing the field, it is clear that the application of machine learning could be much wider in scope: biomolecular structure determination and experiments could potentially profit immensely from AI, which may even pave the way to joint analyses of data from different labs and methods, which would significantly advance our understanding of the molecules that govern key biological processes.
Attendance in person is strongly recommended, both to get the best experience and to support the speaker.
Date: 14 November, 2024
Please register before 15:00 on 12 November so access to ESS can be arranged.
Time: 10:00-11:00
Venue: Tycho, B01, ESS, Lund
Zoom: https://ess-eu.zoom.us/j/61661516180?pwd=Yi7FqOvaGq6qpwLi8jdJ2UYadNKvwn.1&from=addon
Meeting ID: 616 6151 6180
Passcode: 022459
If you are an external visitor to ESS, please arrive between 09:45 and 09:55 to give time to collect your visitor badge and be guided to the event. Please bring your passport or national ID card to identify yourself at security reception.
Giovanna Fragneto