Revisiting Protein Lattice Models in the Era of Quantum Computing

The Galaxy Europe team invites you to a presentation by the Cleveland Clinic Lerner Research Institute, US

Speaker: Bryan Raubenolt (Cleveland Clinic Lerner Research Institute, US)

Date: Friday, 10.05.2024, 11:00

Room: Faculty of Engineering, building 101, room 02-016/18

Despite the recent advancements by deep learning methods such as AlphaFold2, in silico protein structure prediction remains a challenging problem in biomedical research. With the rapid evolution of quantum computing, it is natural to ask whether quantum computers can offer some meaningful benefits for approaching this problem. Yet, identifying specific problem instances amenable to quantum advantage and estimating the quantum resources required are equally challenging tasks. Here, we share our perspective on how to create a framework for systematically selecting protein structure prediction problems that are amenable for quantum advantage, and estimate quantum resources for such problems on a utility-scale quantum computer. As a proof-of-concept, we validate our problem selection framework by accurately predicting the structure of a catalytic loop of the Zika Virus NS3 Helicase, on quantum hardware.

The event is hybrid, but we ask you to attend in person. If this is not possible, you are welcome to log in to the following Zoom meeting:

Topic: Talk by Bryan Raubenolt
Time: Mai 10th 2024, 11:00am (Amsterdam, Berlin, Rome, Stockholm, Vienna)

Join Zoom meeting
Meeting ID: 644 1061 8136
Passcode: LYk6e9cnn


Dr. Anika Erxleben-Eggenhofer
Project Management, Teaching and Training Coordination
Department of Computer Science
University of Freiburg

Kerstin Steiger-Merx
Representative PR/Marketing
Faculty of Engineering
University of Freiburg
Tel.: 0761/203-8056