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DTSTAMP:20260617T072024Z
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DTSTART:20220401T080000Z
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DESCRIPTION:\n\nSpeakers:\nKarel Berka\, Palacký University Olomouc\, ELIX
 IR CZ\nMarián Novotný\, Charles University\, ELIXIR CZ\n\nAn algorithm A
 lphaFold was called a scientific breakthrough of the year 2021 by the Scie
 nce journal – the AlphaFold algorithm predicted the 3D structures of pro
 teins from the sequence better than its competitors in the CATH competitio
 n in quality indistinguishable from the experimental structure. Since late
  2020\, AlphaFold has been used to predict 3D structures in a variety of s
 cenarios\, including those for which it has not been trained at all. A dat
 abase of AlphaFold models was created for common use in July 2021\, and ot
 her tools have been adopted to a new reality of having a powerful tool to 
 predict 3D structure from literally any protein sequence. We are slowly be
 ginning to answer the following questions: How does AlphaFold actually wor
 k? How difficult is it to run AlphaFold with my data? How to interpret the
  AlphaFold models? What tasks are still difficult for AlphaFold? Would we 
 still need an experimental determination of protein structure? In our lect
 ure\, we will try to address these questions as much as possible\, based o
 n our practical experience with protein structure models.\n\nThe lecture w
 ill take place online. A link to the event will be added later.\n
SUMMARY:AlhpaFold2 – Machine learning revolution in structural biology
URL;VALUE=URI:https://www.elixir-czech.cz/events/alhpafold2-machine-learnin
 g-revolution-in-structural-biology-apr-2022
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