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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260619T132323Z
UID:6876af09-d833-4fc6-a878-cd515e902772
DTSTART:20200218T090000Z
DTEND:20200220T170000Z
DESCRIPTION:This workshop covers the use of the PDBe [graph database](http
 s://www.ebi.ac.uk/pdbe/pdbe-kb/schema) to extract data for solving comple
 x structural biology queries. It will introduce the PDBe graph database an
 d how to write Cypher queries to retrieve data of interest. Workshop parti
 cipants will be able to use the graph database to explore data relevant to
  their own research with support and guidance from the development team at
  PDBe.\n\nThe graph database integrates annotations provided by PDBe-KB pa
 rtners and is implemented in Neo4J. In this graph each PDB entry is repres
 ented as a tree\, with the root being the PDB entry\, connected to chains 
 and entities\, which are then connected to residues. Each of the PDB resid
 ues (\\&gt\;150 million) are linked to available annotations (e.g. is the 
 residue part of a catalytic site?\, or is it on a macromolecular interacti
 on interface?) and are also directly connected to their corresponding UniP
 rot residues. Storing PDBe-KB data as a graph offers great benefits in par
 ticular by allowing straightforward transfer of annotations between PDB en
 tries which map to the same UniProt accession\, as well as to highly ident
 ical UniProt accession.\n\nRead the database schema [here](https://www.eb
 i.ac.uk/pdbe/pdbe-kb/schema).
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Mining PDBe and PDBe-KB using a graph database
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/mining-pdbe-and-pdbe-kb
 -using-graph-database
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