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DTSTAMP:20260829T144422Z
UID:2aeaa344-b4e8-4b17-b219-18eb2740ac33
DTSTART:20261029T090000Z
DTEND:20261029T170000Z
DESCRIPTION:In this webinar\, we will present our research focused on under
 standing the core mechanisms (perturbome) employed by prokaryotic organism
 s to survive and adapt to diverse stress conditions. Our analyses are base
 d on transcriptomic datasets from the bacterial models _Escherichia coli\
 , Pseudomonas aeruginosa\, _and _Staphylococcus aureus_\, in which gene 
 expression analyses and the prioritization of stress-response-associated g
 enes were performed using machine learning\, systems biology\, functional 
 enrichment\, and orthologous analyses.\n\nSubsequently\, we implemented st
 ructural bioinformatics approaches integrating experimentally resolved pro
 tein structures available in PDB and AlphaFold-based predictions for prote
 ins lacking experimental structural data. Using these protein structures\,
  molecular docking and other in silico analyses enabled the identification
  of a preliminary set of compounds and potential conditions capable of inh
 ibiting these molecular targets as a proof of concept. Future experimental
  validation studies are expected to confirm the computational findings obt
 ained through this integrative framework.\n\n_This event is part of a broa
 der webinar series on user cases of the AlphaFold resources. For more info
 rmation about the series and its webinars\, please visit the following lin
 k: _[_AlphaFold in practice: research use cases | EMBL-EBI Training_](htt
 ps://trainingcontent.embl.org/alphafold-practice-research-use-cases)
LOCATION:\, 
SUMMARY:From transcriptomics to structural modeling with AlphaFold: analysi
 s of the central response to stress in bacteria using machine learning and
  structural bioinformatics
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/transcriptomics-structu
 ral-modeling-alphafold-analysis-central-response-stress-bacteria-using
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