BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//programme.europython.eu//europython-2023//speaker//ZZLH
 9P
BEGIN:VTIMEZONE
TZID:Europe/Prague
BEGIN:DAYLIGHT
DTSTART:20220719T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221030T030000
RDATE:20231029T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230326T030000
RDATE:20240331T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Using NLP to Detect Knots in Protein Structures - Eva Klimentová
DTSTART;TZID=Europe/Prague:20230719T153000
DTEND;TZID=Europe/Prague:20230719T160000
DTSTAMP:20260810T075743Z
UID:pretalx-europython-2023-JHY3ZK@programme.europython.eu
DESCRIPTION:Proteins are essential components of our bodies\, with their f
 unction 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 
 have made it possible to build models (eg. AlphaFold) capable of predictin
 g the protein's 3D structure with the same precision as experimental metho
 ds.\n\nIn this talk\, I will explore an even more specific application of 
 language models for proteins - the detection of a knot in a protein's 3D s
 tructure solely from the protein amino acid sequence. Knotting in proteins
  is a phenomenon that can affect their function and stability. Thanks to N
 LP and interpretation techniques we can try to uncover why and how protein
 s tie themself into a knot. In this research\, we rely on many Python-base
 d tools starting from Biopython to Pymol and Hugging Face transformer libr
 ary.
LOCATION:Terrace 2A
URL:https://programme.europython.eu/europython-2023/talk/JHY3ZK/
END:VEVENT
END:VCALENDAR