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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260616T160650Z
UID:e92c20a1-c71f-4b87-8f5c-3892ee5730d4
DTSTART:20200527T090000Z
DTEND:20200527T170000Z
DESCRIPTION:This webinar will introduce the concepts of a graph database an
 d describe how we used a graph-approach for integrating the structural dat
 a of the Protein Data Bank.  \n  \n The presented PDBe knowledge graph com
 bines annotations provided by PDBe-KB partners with the core PDB archive. 
 Each PDB entry can be thought of as a tree\, with the root being the PDB e
 ntry\, connected to chains and entities\, which are then connected to resi
 dues. Each of the more than 150 million PDB residues\, the leaves of the t
 ree representation\, are linked to annotations that make it easier to answ
 er scientific questions such as: Can we find small molecules which have th
 e same scaffold\, and interact with the same binding sites? Or\, can we fi
 nd macromolecular interaction interfaces which have highly conserved resid
 ues\, and are annotated to be structurally flexible?  \n  \n The webinar w
 ill help the audience answer these\, and other similar scientific question
 s and will provide a solid foundation for taking advantage of the PDBe kno
 wledge graph and use it as an invaluable research tool.
LOCATION:\, 
SUMMARY:PDBe Graph Database: A Neo4J-driven integrative knowledge graph for
  structural data
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/pdbe-graph-database-neo
 4j-driven-integrative-knowledge-graph-structural-data
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