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DTSTAMP:20260625T095403Z
UID:461709fd-c5cc-4d0c-8f98-ebca359c439e
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\n**Virtual course**\n\nYou will learn via a mix of pre-recorded 
 lectures\, live presentations\, and trainer Q&amp\;A sessions. Practical e
 xperience will be developed through group activities and trainer-led compu
 tational exercises. Live sessions will be delivered using Zoom with additi
 onal support and asynchronous communication via Slack.\n\nPre-recorded mat
 erial may be provided before the course starts that you will need to watch
 \, read\, or work through to gain the most out of the actual training even
 t. A brief pre-course session will be held the week beforehand. Computatio
 nal practicals will run on EMBL-EBI's virtual training infrastructure\, me
 aning you will not require access to a powerful computer or install comple
 x software on your own machines.\n\nYou will need to be available between 
 the hours of 09:00 – 18:30 BST each day of the course. Trainers will be
  available to assist\, answer questions\, and provide further explanations
  during these times.
SUMMARY:Structural bioinformatics
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/structural-bioinformati
 cs-2026
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