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DTSTART;TZID=America/Chicago:20250625T130000
DTEND;TZID=America/Chicago:20250625T143000
DTSTAMP:20260610T190806
CREATED:20250619T162939Z
LAST-MODIFIED:20250619T162939Z
UID:10435352-1750856400-1750861800@uwm.edu
SUMMARY:Physics Colloquium - Justin A. Trujillo
DESCRIPTION:Speaker: Justin A. Trujillo\, PhD Candidate – UWM Physics \nImplementing Novel Data Analysis Methods to Enhance Biophysical Studies \nStudying the structure\, motions\, and interactions of proteins as they perform their functions is greatly important in biophysics research. Time-resolved serial femtosecond crystallography (TRSFX) has been highly successful at resolving protein structures and motions. However\, TR-SFX data can be challenging to analyze. To address this\, we used a machine learning algorithm and applied it to simulated diffraction data for photoactive yellow protein (PYP). The results show that the machine learning method successfully recovers structural and dynamical information\, demonstrating that this method can be trusted for crystallography and other complex datasets. \nAnother method for studying proteins is fluorescence microscopy paired with Förster resonance energy transfer (FRET). Being highly sensitive to separation distance between fluorescent molecules\, FRET is a precise way to study protein interactions in cells. The quantity of interest in these studies is the FRET efficiency\, which measures energy transfer via FRET between fluorescent molecules. FRET efficiencies calculated from spectrally resolved data allow for the quaternary structure of proteins to be studied using a method known as FRET spectrometry. However\, due to constraints with interpreting data\, this capability has not been used with time-resolved data. In the second part of this work\, we show the results of implementing a novel method of extracting FRET efficiencies from time-resolved data. This new approach may expand FRET spectrometry to be compatible with time-resolved data. \nLocation: Kenwood IRC 2175 \nTime: 1:00PM – 2:30PM \nDate: June 25th\, 2025
URL:https://uwm.edu/physics/event/physics-colloquium-justin-a-trujillo/
LOCATION:Kenwood IRC 2175\, Milwaukee\, WI\, 53211\, United States
CATEGORIES:Physics Colloquia
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