3099. Topology in Biological Matter: New Ways to Use Entanglement in Structural Biology
Invited abstract in session TA-1: Joanna Sułkowska, stream Keynotes.
Tuesday, 8:30-10:00Room: Great Hall
Authors (first author is the speaker)
| 1. | Joanna Sulkowska
|
| University of Warsaw |
Abstract
We have been aware of the existence of knotted and slipknotted proteins for over 30 years; however, the potential of entanglement in proteins has not been fully explored. From the perspective of chemistry and soft condensed matter, it is known that knots can perform various functions, such as increasing thermal or mechanical strength. During this lecture, I
will show that the vast majority of knotted proteins have the simplest type of knot, and that the presence of knots is not preferred in any of the three domains—Bacteria, Eukaryota, or Archaea. Moreover, there is no organism without at least one knotted protein.
Recent advances in machine learning methods in structural biology have opened up new perspectives for protein analysis and prediction. I will demonstrate how machine learning techniques can be used to incorporate knotting into structural biology, enabling the design of fit-for-purpose new proteins that enhance or manipulate protein activity. Additionally, I will discuss extensions toward the design of robust polymer–knotted-protein hybrid materials.
Keywords
- Machine Learning
- Health Care
Status: accepted
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