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DTSTAMP:20260617T184222Z
UID:24c4ad1e-06ad-4359-bbfa-d280ea8ada5f
DTSTART:20221017T090000Z
DTEND:20221021T170000Z
DESCRIPTION:A guide to the commonly used methods and tools in structural bi
 oinformatics to analyse and interpret experimentally determined and AI-pre
 dicted macromolecular structure data.\n\nStructural biology\, determining 
 the three-dimensional shapes of biomacromolecules and their complexes\, ca
 n tell us a lot about how these molecules function and the roles they play
  within a cell. Data derived from structure determination experiments and 
 Artificial Intelligence (AI)-assisted structure prediction enables life-sc
 ience researchers to address a wide variety of questions.  \n\nThis virtu
 al course explores bioinformatics data resources and tools for the investi
 gation\, analysis\, and interpretation of both experimentally determined a
 nd predicted biomacromolecular structures. It will focus on how best to an
 alyse and interpret available structural data to gain useful information g
 iven specific research contexts. The course content will also cover predic
 ting function\, and exploring interactions with other macromolecules.\n\nT
 his course will be a virtual event delivered via a mixture of live-streame
 d sessions\, pre-recorded lectures\, and tutorials with live support. We w
 ill be using Zoom to run the live sessions (all fully password protected w
 ith automated English closed captioning and transcription) with support an
 d both scientific and social networking opportunities provided by Slack an
 d other methods\, taking different time zones into account. In order to ma
 ke the most out of the course\, you should make sure to have a stable inte
 rnet connection throughout the week and are available between 09:00-18:00 
 UTC-0 each day. In the week before the course there will be a brief induct
 ion session. Computational practicals will run on EMBL-EBI's virtual train
 ing infrastructure\, meaning participants will not require access to a pow
 erful computer or install complex software on their own machines.\n\nSelec
 ted participants may be sent materials prior to the course. These might in
 clude pre-recorded talks and required reading or online training that will
  be essential to fully engage with the course.  \n  
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Structural bioinformatics
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/structural-bioinformati
 cs-2022
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