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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260716T151259Z
UID:26da02c4-4af8-4c84-b5ac-4195d7749dc3
DTSTART:20261207T093000Z
DTEND:20261208T173000Z
DESCRIPTION:Determining the three-dimensional (3D) structure of a protein f
 rom its amino acid sequence is essential for understanding its biological 
 function. Experimental methods remain the standard for obtaining high-reso
 lution structures\, but they can be costly\, time-consuming\, and technica
 lly challenging for certain proteins.\n\nThis course provides a practical 
 introduction to computational approaches for predicting protein structures
  from amino acid sequences. The course focuses on AlphaFold\, a method tha
 t has transformed protein structure prediction through its near-experiment
 al prediction accuracy.\n\nParticipants will learn how to retrieve structu
 ral information from public databases\, evaluate the quality of predicted 
 models\, and visualise protein structures using ChimeraX. The course also 
 covers multimer predictions\, prediction of ligand binding sites\, and mol
 ecular docking approaches.\n\nBy the end of the course\, participants shou
 ld be able to generate protein structure predictions and critically assess
  the quality and limitations of the computational methods used.\n\nTeachin
 g is primarily hands-on\, with short presentations and demonstrations intr
 oducing the concepts and methods needed to predict\, analyse\, and visuali
 se protein structures.\n\n\n      Book this event or register interest\n  
     This event is not yet open for booking. Please choose the section that
  applies to you.\n      \n      University of Cambridge member\n      Regi
 ster interest\n      External participant\n      Register interest\n      
 \n      \n\n== Intended audience ==\n\nThis course is suitable for:\n\n* r
 esearchers and students interested in protein structure analysis\n* partic
 ipants who want practical experience with computational protein structure 
 prediction methods\n* researchers seeking to use predicted protein structu
 res to investigate biological function\n* participants interested in visua
 lisation and interpretation of protein structural data\n\n== Course fees =
 =\n\nAll fees are per full training day.\n\n{| class="wikitable"\n|-\n! Ca
 tegory\n! Fee\n|-\n| Industry full charge\n| £130.00\n|-\n| Academic / Go
 vernment / charity concessionary\n| £65.00\n|-\n| Cambridge University st
 aff members / postdocs / visitors\n| £65.00\n|-\n| Cambridge University r
 egistered students\n| Free\n|-\n| Cambridge University registered students
  non-attendance\n| £22.00\n|-\n| Special events\n| Per event\n|}\n\nPayme
 nt options will be provided in booking confirmation emails sent after regi
 stration.\n\n[More details…](https://bioinfotraining.bio.cam.ac.uk/postg
 raduate/eligibility)\n\n== General information ==\n\nMore detailed informa
 tion is available on our dedicated [cancellation and non-attendance policy
 ](https://bioinfotraining.bio.cam.ac.uk/cancellation-and-non-attendance)\,
  [waiting list](https://bioinfotraining.bio.cam.ac.uk/waiting-list)\, [acc
 essibility](https://bioinfotraining.bio.cam.ac.uk/accessibility-support)\,
  [privacy policies](https://bioinfotraining.bio.cam.ac.uk/privacy-and-cook
 ie-policies) and [terms &amp\; conditions](https://bioinfotraining.bio.cam
 .ac.uk/https%3A/bioinfotraining.bio.cam.ac.uk/events/terms-and-conditions)
  pages.\n\nGuidance on visiting Cambridge and finding accommodation is ava
 ilable [here](https://bioinfotraining.bio.cam.ac.uk/about).
LOCATION:Craik-Marshall Building
SUMMARY:Protein Structure Prediction and Analysis (IN-PERSON)
URL;VALUE=URI:http://training.csx.cam.ac.uk/bioinformatics/event/6431572
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