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DTSTAMP:20260407T174935Z
UID:dcdc84a1-4611-42ce-94e0-980b3f73a612
DTSTART:20261019T090000Z
DTEND:20261023T170000Z
DESCRIPTION:This course provides a guide to the commonly used methods and t
 ools in structural bioinformatics to analyse and interpret experimentally 
 determined and AI-predicted macromolecular structure data.\n\nStructural b
 iology\, determining the three-dimensional shapes of biomacromolecules and
  their complexes\, can tell us a lot about how these molecules function an
 d the roles they play within a cell. Data derived from structure determina
 tion experiments and Artificial Intelligence (AI)-assisted structure predi
 ction enables life-science researchers to address a wide variety of questi
 ons.  \n\nThis course explores bioinformatics data resources and tools f
 or the investigation\, analysis\, and interpretation of both experimentall
 y determined and predicted biomacromolecular structures. It will focus on 
 how best to analyse and interpret available structural data to gain useful
  information given specific research contexts. The course content will als
 o cover predicting function and exploring interactions with other macromol
 ecules.\n\nThis course is currently under development\, please check back 
 again soon for further details. You can find more information about the pr
 evious iteration of this course [here](https://www.ebi.ac.uk/training/even
 ts/structural-bioinformatics-2025/). 
SUMMARY:Structural bioinformatics
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/structural-bioinformati
 cs-2026
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