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DTSTAMP:20260808T230102Z
UID:8145d8fd-bbaf-44be-985a-300b762920af
DTSTART:20240618T170000Z
DTEND:20240618T170000Z
DESCRIPTION:This webinar is part of a series run by the ELIXIR 3D-BioInfo C
 ommunity. There is a complete list of webinars here.  \n			\n				 \n			
 \n		\n	\n\n\n\n	\n		\n			\n				The event is hosted by\n\n				\n					\n				
 		\n							\n							\n							\n						\n						\n							\n								Prof. Shos
 hana Wodak (Chair) \n\n								VIB-VUB Center for structural Biology \n	
 						\n							\n								Dr. Gonzalo Parra\n									 \n\n								Barcelo
 na Supercomputing Center  (BSC)  \n							\n							\n								Dr Neela
 dri Sen   \n									 \n\n								University College London (UCL)    
    \n							\n						\n					\n				\n\n				Programme: \n			\n			 \n		\n	
 \n\n\nThe encyclopaedia of domains\n\nDr Nicola Bordin (UCL – CATH Lab)\
 n\n\n\nThe Encyclopaedia of Domains (TED) is a comprehensive classificatio
 n of all globular protein structure domains in AlphaFold Database v4. Harn
 essing state-of-the-art deep learning methods for domain detection\, struc
 ture comparison and fold detection\, TED segments and classifies domains a
 cross AFDB\, identifying over 370 million distinct domains\, surpassing se
 quence-based resources by over 100 million domains. Nearly 80% of these do
 mains exhibit similarities with known superfamilies in CATH\, expanding th
 e resource by over 600-fold. The remaining 20% that do not have relatives 
 in any PDB-based resources unveiled over 7 thousand new folds\, some of wh
 ich have interesting and beautiful symmetries.\n\nWe also find some fascin
 ating new architectures. TED uncovers over 10\,000 previously undetected s
 tructural interactions between superfamilies and extends domain coverage t
 o over 1 million taxa\, enhancing research for organisms which previously 
 had low to non-existent structural coverage. TED data will be made availab
 le in 3D-Beacons as well as a dedicated resource\, significantly enriching
  CATH superfamilies.\n\n\n	Towards a complete structural map of the human 
 proteome\n\n	Prof. Arne Elofsson\, Stockholm University\n\n	Cellular funct
 ions are governed by molecular machines that assemble through protein-prot
 ein interactions. Their atomic details are critical to studying their mole
 cular mechanisms. Today the structure of virtually all individual proteins
  is available from predictions using AlphaFold. However\, these prediction
 s are limited to individual chains and do not include interactions. In thi
 s talk I will describe our attempts to increase the structural coverage of
  protein-protein interactions. Today fewer than 5% of hundreds of thousand
 s of human protein interactions have been structurally characterised.\n\n	
  \n	\n	We show that combining predictions and experiments can orthogonall
 y confirm higher-confidence models\, and using AlphaFold2\, we have built
  3\,137 high-confidence models\, of which 1\,371 have no homology to a kno
 wn structure. We are exploring rapid methods to identify protein interacti
 on networks. Finally\, we show how the predicted binary complexes can be u
 sed to build very larger assemblies using a Monte Carlo Tree search method
 .\n\n	 \n\n	 \n\n	You can find previous webinars from the 3D-BioInfo Com
 munity on the Community webinars page.\n\n	 
SUMMARY:3D-BioInfo:
URL;VALUE=URI:https://www.elixir-europe.org/events/3d-bioinfo
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