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 P
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UID:pretalx-europython-2023-JHY3ZK@programme.europython.eu
DTSTART;TZID=CET:20230719T153000
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DESCRIPTION:Proteins are essential components of our bodies\, with their fu
 nction often dependent on their 3D structure. However\, uncovering the 3D 
 structure has for a long time been redeemed by months of hard work in the 
 lab. Recent advances in Machine learning and Natural language processing h
 ave made it possible to build models (eg. AlphaFold) capable of predicting
  the protein's 3D structure with the same precision as experimental method
 s.\n\nIn this talk\, I will explore an even more specific application of l
 anguage models for proteins - the detection of a knot in a protein's 3D st
 ructure solely from the protein amino acid sequence. Knotting in proteins 
 is a phenomenon that can affect their function and stability. Thanks to NL
 P and interpretation techniques we can try to uncover why and how proteins
  tie themself into a knot. In this research\, we rely on many Python-based
  tools starting from Biopython to Pymol and Hugging Face transformer libra
 ry.
DTSTAMP:20260310T190809Z
LOCATION:Terrace 2A
SUMMARY:Using NLP to Detect Knots in Protein Structures - Eva Klimentová
URL:https://programme.europython.eu/europython-2023/talk/JHY3ZK/
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