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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
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DTSTAMP:20260925T115530Z
UID:982ccafa-7464-43f8-8d00-299670227306
DTSTART:20260910T090000Z
DTEND:20260910T170000Z
DESCRIPTION:Protein complexes play essential roles in many cellular process
 es\, and the arrangement of their subunits is often critical to their func
 tion. AlphaFold Database (AFDB) multimer predictions provide valuable stru
 ctural insights into these assemblies\, but interpreting their confidence 
 scores requires care.This webinar introduces the confidence metrics used t
 o assess AFDB multimer predictions. It begins with the foundational scores
   - predicted Local Distance Difference Test (pLDDT) and Predicted Aligne
 d Error (PAE) -  before examining five metrics used to evaluate predicted
  protein complexes: average pLDDT\, interface predicted Template Modelling
  score (ipTM)\, interaction prediction Score from Aligned Errors(ipSAE)\, 
 predicted DockQ version 2 (pDockQ2)\, and Local Interaction Score (LIS).Th
 e webinar explains how these metrics are calculated\, what they reveal abo
 ut predicted protein–protein interfaces\, and their limitations. In part
 icular\, it explores how disordered regions can affect ipTM and how metric
 s such as ipSAE and LIS reduce this distortion by focusing on confidently 
 predicted interactions.
LOCATION:\, 
SUMMARY:Confidence metrics used in the AlphaFold Database multimers
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/confidence-metrics-used
 -alphafold-database-multimers
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