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SUMMARY:Perutz Lecture 2023: Decoding the protein dance - Prof. Dr. Paola 
 Picotti\, Associate Professor for Molecular Systems Biology\, Institute of
  Molecular Systems Biology\, ETH Zurich
DTSTART:20231120T110000Z
DTEND:20231120T120000Z
UID:TALK199741@talks.cam.ac.uk
CONTACT:Scientific Meetings Co-ordinator
DESCRIPTION:Significant progress has been recently achieved in the predict
 ion of protein structures\, due to advances such as AlphaFold\, RosettaFol
 d and in general deep-learning based methods. These tools are revolutioniz
 ing the field of structural biology by providing reliable predictions of p
 rotein 3D structures. Despite these developments\, predicting protein dyna
 mics remains a formidable challenge due to the inherent complexity of dyna
 mic motions of proteins and the scarcity of experimental data on alternati
 ve protein conformational states. Detecting and characterizing protein con
 formational changes on a large scale would be however very relevant as the
 y can profoundly alter protein function and activity. In my talk\, I will 
 present a mass spectrometric method that enables in situ analyses of prote
 in conformational changes for thousands of proteins simultaneously and acr
 oss conditions. The approach probes dynamic alterations of protein structu
 res due to post-translational modifications\, binding of other molecules\,
  cleavages and protein aggregation events. Such a structural ‘omics read
 out\, combined with predicted or experimental protein structural data\, en
 ables screening for pathological or physiological protein conformations fr
 om cells and tissues\, supports the generation of mechanistic hypotheses a
 nd bridges system and molecular views. I will present applications of this
  approach to the in situ detection of drug-target interactions and the ide
 ntification of a novel class of structural disease biomarkers.
LOCATION:In person in the Max Perutz Lecture Theatre (CB2 0QH) 
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