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DTSTAMP:20260729T180426Z
UID:9acb0ad1-5c60-41fb-af96-6601720928ab
DTSTART:20260909T090000Z
DTEND:20260909T170000Z
DESCRIPTION:Artificial intelligence is rapidly changing how researchers dis
 cover and interact with scientific data. In this webinar\, we will introdu
 ce the PDBe MCP (Model Context Protocol) servers and demonstrate how they 
 enable AI assistants and applications to securely access and interact with
  structural biology data from the Protein Data Bank in Europe (PDBe). Rath
 er than focusing on implementation details\, the session will explore the 
 broader vision behind MCP\, the capabilities offered by the PDBe MCP serve
 rs\, and how they can help researchers\, developers\, and bioinformatics c
 ommunities build more intuitive\, AI-powered scientific workflows. \n\nTh
 e webinar will also include practical examples of how these tools can make
  structural biology data more accessible and actionable. The [PDBe MCP ser
 vers](https://pypi.org/project/pdbe-mcp-server/?utm_source=chatgpt.com) pr
 ovide access to PDBe APIs\, PDBe Graph data\, and search capabilities thro
 ugh the Model Context Protocol\, allowing AI tools to work directly with s
 tructural biology resources.
LOCATION:\, 
SUMMARY:Bringing structural biology to AI: exploring the PDBe MCP servers
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/bringing-structural-bio
 logy-ai-exploring-pdbe-mcp-servers
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