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DTSTAMP:20260627T184109Z
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DTSTART:20240618T170000Z
DTEND:20240618T170000Z
DESCRIPTION:This webinar is part of a series run by the ELIXIR 3D-BioInfo C
 ommunity. For a complete list of webinars\, see the Community webinars pag
 e.\n\nHosts\n\n \n	\n		\n			Dr. Gonzalo Parra\n				Barcelona Supercomputi
 ng Center\n		\n	\n\n	\n		\n			Dr Neeladri Sen\n				University College Lon
 don (UCL)\n		\n	\n\n\nProgramme\n\nThe encyclopaedia of domains\n\nDr Nico
 la Bordin (UCL – CATH Lab)\n\n\n\nThe Encyclopaedia of Domains (TED) is 
 a comprehensive classification of all globular protein structure domains i
 n AlphaFold Database v4. Harnessing state-of-the-art deep learning methods
  for domain detection\, structure comparison and fold detection\, TED segm
 ents and classifies domains across AFDB\, identifying over 370 million dis
 tinct domains\, surpassing sequence-based resources by over 100 million do
 mains. Nearly 80% of these domains exhibit similarities with known superfa
 milies in CATH\, expanding the resource by over 600-fold. The remaining 20
 % that do not have relatives in any PDB-based resources unveiled over 7 th
 ousand new folds\, some of which have interesting and beautiful symmetries
 .\n\nWe also find some fascinating new architectures. TED uncovers over 10
 \,000 previously undetected structural interactions between superfamilies 
 and extends domain coverage to over 1 million taxa\, enhancing research fo
 r organisms which previously had low to non-existent structural coverage. 
 TED data will be made available in 3D-Beacons as well as a dedicated resou
 rce\, significantly enriching CATH superfamilies.\n\nTowards a complete st
 ructural map of the human proteome\n\nProf. Arne Elofsson (Stockholm Unive
 rsity)\n\nCellular functions are governed by molecular machines that assem
 ble through protein-protein interactions. Their atomic details are critica
 l to studying their molecular mechanisms. Today the structure of virtually
  all individual proteins is available from predictions using AlphaFold. Ho
 wever\, these predictions are limited to individual chains and do not incl
 ude interactions. In this talk I will describe our attempts to increase th
 e structural coverage of protein-protein interactions. Today fewer than 5%
  of hundreds of thousands of human protein interactions have been structur
 ally characterised.\n\n\n\nWe show that combining predictions and experime
 nts can orthogonally confirm higher-confidence models\, and using AlphaFo
 ld2\, we have built 3\,137 high-confidence models\, of which 1\,371 have n
 o homology to a known structure. We are exploring rapid methods to identif
 y protein interaction networks. Finally\, we show how the predicted binary
  complexes can be used to build very larger assemblies using a Monte Carlo
  Tree search method.\n\nYou can find previous webinars from the 3D-BioInfo
  Community on the Community webinars page.
SUMMARY:3D-BioInfo Webinar: High Throughput Structural Bioinformatics
URL;VALUE=URI:https://www.elixir-europe.org/events/3d-bioinfo-webinar-high-
 throughput-structural-bioinformatics
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