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UID:20250625T082718EDT-1775NXUvBp@132.216.98.100
DTSTAMP:20250625T122718Z
DESCRIPTION:Learning from Life: Lessons from ML and Biophysical Simulations
 \n\nRe Mansbach\, Concordia University\n	Tuesday January 7\, 12-1pm\n	Zoom L
 ink: https://mcgill.zoom.us/j/89914150820\n	In Person: 550 Sherbrooke\, Roo
 m 189\n	\n	Abstract: Proteins and peptides are the molecular motors that kee
 p our cells running. Many of them can be used as drug targets or biomolecu
 lar drugs for therapeutic applications\, but the search space of the possi
 ble amino acid combinations forming even a short peptide is astronomical. 
 To design new peptides for specific applications\, we need a larger-scale 
 understanding of the entire search space. In my lab\, we address these que
 stions through a combination of interpretable machine learning and optimiz
 ation techniques to rationally explore ML-associated search spaces for pep
 tides and the parameterization and application of simulations to understan
 d candidates of particular interest at a detailed molecular level. In this
  presentation\, I will introduce the tools of our trade and discuss how we
  apply them to some of our ongoing projects\, with a particular focus on a
 ntimicrobial peptide understanding and design.\n
DTSTART:20250107T170000Z
DTEND:20250107T180000Z
SUMMARY:QLS Seminar Series - Re Mansbach
URL:/qls/channels/event/qls-seminar-series-re-mansbach
 -361384
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