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DTSTAMP:20260904T121733Z
UID:b4149f03-99b2-48d9-8299-20f18f84f239
DTSTART:20261119T090000Z
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DESCRIPTION:The Rigden group uses AF and other protein structural bioinform
 atics tools to address diverse challenges\, specialising in the translatio
 n of AF for novel purposes in neighbouring areas of biology. In joint work
 \, co-led by Prof Andy Jones\, we explored whether AF could help select th
 e correct gene structure model\, using original and manually curated pairs
  from two fungi and an apicoplast. We found that where two alternative gen
 e models led to AF predictions that differed in a structured domain\, stru
 cture-derived scores strongly favoured the human-curated version. We furth
 er found that the structure-based signals were complementary to sequence d
 omain analysis. Unsurprisingly\, the AF approach was not helpful for gene 
 structure uncertainty relating to potentially disordered protein regions\,
  highlighting the need for further research. We explored faster tools as a
 lternatives to AF3 and found that Protenix-mini retained the same discrimi
 natory capacity. Since publication we have further explored scoring of com
 plete proteomes and have built a NextFlow pipeline to facilitate adoption 
 of the approach.\n\nThis event is part of a broader webinar series on user
  cases of the AlphaFold resources. For more information about the series a
 nd its webinars\, please visit the following link: [AlphaFold in practice
 : research use cases | EMBL-EBI Training](https://www.ebi.ac.uk/training/e
 vents/alphafold-practice-research-use-cases/)\n\n 
LOCATION:\, 
SUMMARY:AlphaFold for gene structure annotation
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/alphafold-gene-structur
 e-annotation
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