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DTSTAMP:20260618T143141Z
UID:92c12a8f-c100-4629-8f1d-0e1b9dc129c1
DTSTART:20211011T090000Z
DTEND:20211015T170000Z
DESCRIPTION:Structural biology\, determining the three-dimensional shapes o
 f biomacromolecules and their complexes\, can tell us a lot about how thes
 e molecules function and the roles they play within a cell. Data derived f
 rom structure determination experiments enables life-science researchers t
 o address a wide variety of questions. 2021 marks 50 years of the Protein
  Data Bank (PDB)\, the single worldwide archive of experimental biomacromo
 lecular structures\, highlighting the depth of knowledge available for und
 erstanding molecular structure and function.  \n  \n This course explores 
 bioinformatics data resources and tools for the investigation\, analysis\,
  and interpretation of biomacromolecular structures. It will focus on ho
 w best to analyse and interpret available structural data to gain useful i
 nformation given specific research contexts. The course content will also 
 cover predicting protein structure and function\, and exploring interactio
 ns with other macromolecules as well as with low-MW compounds. There will 
 also be a short session covering the new AI-predicted protein structures d
 atabase\, AlphaFold DB.  \n  \n This course will be a virtual event delive
 red via a mixture of live-streamed sessions\, pre-recorded lectures\, and 
 tutorials with live support. We will be using [Zoom](https://zoom.us/) t
 o run the live stream sessions (all fully password protected with automate
 d English closed captioning and transcription) with support and networking
  opportunities provided by [Slack](https://slack.com/intl/en-gb/). In ord
 er to make the most out of the course\, you should make sure to have a sta
 ble internet connection throughout the week. There will also be networking
  and short social activities throughout the course and efforts will be mad
 e to make these accessible at different time zones across the week.  \n  \
 n Selected participants will be sent materials prior to the course. These 
 might include pre-recorded talks and required reading or online training t
 hat will be essential to fully understand the course.
SUMMARY:Structural bioinformatics
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/structural-bioinformati
 cs2021
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