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DTSTART;TZID=America/New_York:20260218T120000
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CREATED:20260122T195707Z
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UID:10001550-1771416000-1771419600@asrc.gc.cuny.edu
SUMMARY:Spring '26 Biochem Seminar: Edward P. O'Brien\, Jr.
DESCRIPTION:How a novel class of protein misfolding is associated with changes in enzyme activity\, proteostasis\, aging\, and disease \nUtilizing simulations\, experimental data\, and data science\, my lab predicted the existence of a previously undiscovered\, widespread class of protein misfolding that can result in soluble\, loss-of-function states\, some of which evade the proteostasis network. This class of misfolding involves structural changes in geometric motifs called non-covalent lasso entanglements\, which are found in 70% of the native structures of globular proteins. In this talk\, I will synthesize six lines of evidence: (1) proteome-wide and atomistic simulations establish the prevalence and physical plausibility of self-entanglement; (2) translation-speed changes from synonymous mutations can re-partition folding trajectories into slowly interconverting\, near-native entangled ensembles with reduced catalytic efficiency; (3) native-like surfaces coupled to these topological barriers explain how some misfolded states bypass chaperones; that these misfolded states are associated with (4) increased nascent protein degradation through the ubiquitin-proteasome pathway in human fibroblast cells\, (5) with structural changes in proteins that occur during yeast mother cell aging\, and (6) with a higher likelihood of harboring pathogenic mutations in human diseases. Taken together\, simulations and experiments areconverging on a unified picture in which entanglement misfolding is common\, biologically consequential\, and measurable. \nPlease use this link to access Zoom. \nPlease contact Hyacinth Camillieri at hcamillieri@gc.cuny.edu if you have any questions.
URL:https://asrc.gc.cuny.edu/event/spring-26-biochem-seminar-edward-p-obrien-jr/
LOCATION:ASRC Auditorium\, 85 St. Nicholas Terrace\, New York\, NY\, 10031\, United States
CATEGORIES:Structural Biology
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