BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260829T120348Z
UID:a3af3d94-b88d-4204-bcbb-afc731afb377
DTSTART:20261007T090000Z
DTEND:20261007T170000Z
DESCRIPTION:This webinar is based on Albert and colleagues recent study exp
 loring the use of AlphaFold-predicted protein structures for drug discover
 y against Chagas disease\, a neglected tropical disease caused by the para
 site _Trypanosoma cruzi_. The study used AlphaFold-predicted models of _
 T. cruzi_ proteins to carry out a structure-based virtual screening of app
 roximately 30\,000 compounds. From this screening\, top-ranked candidates 
 were selected for experimental testing\, and two already approved drugs sh
 owed significant specific antiparasitic activity. These results illustrate
 d how AlphaFold-based virtual screening can support drug discovery efforts
  and accelerate the identification of new compounds against neglected trop
 ical diseases\, where the absence of experimentally determined structures 
 is problematic.\n\nBuilding on this experience\, the webinar will walk thr
 ough how AlphaFold can be applied to structure-based drug discovery more b
 roadly\, using Chagas disease study as an example. It will briefly introdu
 ce AlphaFold\, covering its confidence metrics and where to download or ge
 nerate predicted models. From there\, the webinar will show the steps need
 ed for running a virtual screening campaign: predicting and assessing bind
 ing pockets\, downloading chemical libraries\, tools for molecular docking
 \, and processing and interpreting the resulting data. Throughout\, a part
 icular attention will be given to the caveats and limitations of using pre
 dicted rather than experimentally determined structures for docking\, draw
 ing on the challenges encountered in their study. The webinar will close b
 y discussing what to keep in mind when adapting this workflow to other cas
 es.\n\n_This event is part of a broader webinar series on user cases of th
 e AlphaFold resources. For more information about the series and its webin
 ars\, please visit the following link: _[_AlphaFold in practice: research
  use cases | EMBL-EBI Training_](https://trainingcontent.embl.org/alphafol
 d-practice-research-use-cases)
LOCATION:\, 
SUMMARY:Using AlphaFold protein models for structure-based virtual screenin
 g of chemical libraries
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/using-alphafold-protein
 -models-structure-based-virtual-screening-chemical-libraries
END:VEVENT
END:VCALENDAR
