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UID:0-1089@lptms.universite-paris-saclay.fr
DTSTART;TZID=Europe/Paris:20260220T110000
DTEND;TZID=Europe/Paris:20260220T120000
DTSTAMP:20260209T135825Z
URL:http://www.lptms.universite-paris-saclay.fr/seminars/physics-biology-i
 nterface-seminar-gergo-gogl/
SUMMARY:Physics-Biology Interface seminar: Gergö Gógl - Salle des sémina
 ires du FAST et du LPTMS\, bâtiment Pascal n°530 - 20 Fév 26 11:00
DESCRIPTION:Interactomics 2.0: From partially mapped qualitative protein-pr
 otein interaction graphs to biophysically characterized interaction networ
 ks\nGergö Gógl (U. Nice Côte-d'Azur)\nFor decades\, the study of the hu
 man protein-protein interaction networks\, a.k.a. the interactome has been
  dominated by qualitative "discovery" methods. While these tools have prov
 ided invaluable maps of cellular organization\, they often lack the biophy
 sical resolution required to understand the true dynamics of the cell and 
 often miss weak and transient interactions that make up the bulk fabric of
  molecular interaction networks. We recently developed new generation inte
 ractomic tools\, such as the native holdup approach\, that allows us to sh
 ift from asking who interacts with whom to quantifying how strong is the d
 riving force of each interaction and under what conditions they form. Our 
 approach offer a high-throughput solution for the biophysical characteriza
 tion of large-scale systems that\, unlike traditional approaches\, allows 
 the direct measurement of equilibrium dissociation constants at proteome s
 cales within complex cellular lysates taking into consideration indirect i
 nteractions\, post-translational modifications and other biological mechan
 isms. Most importantly\, we can finally study weak and transient complexes
  that were hiding in the blind spot of conventional interactomics for deca
 des. We will discuss the technical implementation of nHU on large scale\, 
 the challenges of scaling quantitative measurements\, and how this "bottom
 -up" biophysical data provides a more predictive framework for understandi
 ng cellular signaling and disease-state perturbations.
CATEGORIES:physbio,seminars
LOCATION:Salle des séminaires du FAST et du LPTMS\, bâtiment Pascal n°53
 0\, rue André Riviere\, Orsay\, 91405\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=rue André Riviere\, Orsay\
 , 91405\, France;X-APPLE-RADIUS=100;X-TITLE=Salle des séminaires du FAST 
 et du LPTMS\, bâtiment Pascal n°530:geo:0,0
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TZID:Europe/Paris
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DTSTART:20251026T020000
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