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BEGIN:VEVENT
DTSTAMP:20260618T001912Z
UID:4db9a2fb-d226-43b7-907a-0cc7d3ab2419
DTSTART:20211118T170000Z
DTEND:20211118T190000Z
DESCRIPTION:Educators:\nKatrin Schöning-Stierand (UHH)\, Christiane Ehrt (
 UHH) (BioData)\n\nDate:\n18.11.2021 (5 PM - 7 PM)\n\nRegistration:\nhttps:
 //www.eventbrite.co.uk/e/exploring-alphafold-structures-with-the-proteinsp
 lus-web-server-tickets-209732745287?ref=estw\n\nContents:\nArtificial inte
 lligence-based protein structure predictions with AlphaFold enable unprece
 dented access to high-quality models of proteins with yet unknown folds. T
 hese structures are now readily accessible using the AlphaFold Protein Str
 ucture Database (https://alphafold.ebi.ac.uk/). However\, these structures
  miss important annotations and need to be carefully processed for further
  molecular modeling or even structure-based drug design studies. To enable
  on-the-fly structural modeling for these structures\, we integrated the t
 hus published structures in our ProteinsPlus web server (https://proteins.
 plus). The web server offers tools for binding site prediction (DoGSite)\,
  binding site comparison (SIENA and GeoMine) and molecular docking (JAMDA)
  for the annotation and investigation of the AlphaFold structures. Besides
  the detection of potential binding sites on the protein’s surface\, an 
 in-depth exploration is possible through an easy-to-use user interface. Th
 rough a short introduction of the web server tools and a comprehensive dem
 o session on exploring AlphaFold structures with these tools the participa
 nts will gain knowledge on applying these tools to their own predicted str
 ucture of interest. After these introductory sessions\, the attendees will
  be able to explore a target of interest on the ProteinsPlus web server\, 
 ask questions and get support by the educators.\n\nLearning goals:\nThis c
 ourse is designed for life and computer scientists with interest in protei
 n structures and structure-based drug design\, but only very basic experie
 nce. Topics include: Finding binding sites in protein structure models gen
 erated with AlphaFold\, detecting related binding sites and molecular dock
 ing of known ligands\nUsage of ProteinsPlus\, with focus on DoGSite\, SIEN
 A\, GeoMine and JAMDA\n\nPrerequisites:\nGeneral knowledge of proteins and
  their role in life sciences\n\nKeywords:\nAlphaFold\, protein structures\
 , binding site prediction\, binding site comparison\, molecular docking\, 
 molecular modeling\, ProteinsPlus\n\nTools:\nProteinsPlus-Tools DoGSite\, 
 SIENA\, GeoMine and JAMDA
SUMMARY:Exploring AlphaFold Structures with the ProteinsPlus Web Server 
URL;VALUE=URI:https://www.denbi.de/training/1323-exploring-alphafold-struct
 ures-with-the-proteinsplus-web-server
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