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URL:/statistics-and-actuarial-science/events/student-se
 minar-samuel-wong-assistant-professor
SUMMARY:Student Seminar by Samuel Wong\, Assistant Professor
CLASS:PUBLIC
DESCRIPTION:Summary \n\nASSESSING THE IMPACTS OF MUTATIONS TO THE STRUCTURE
  OF COVID-19 SPIKE\nPROTEIN VIA SEQUENTIAL MONTE CARLO\n\n----------------
 ---------\n\nProteins play a key role in facilitating the infectiousness o
 f the\n2019 novel coronavirus. A specific spike protein enables this virus
  to\nbind to human cells\, and a thorough understanding of its 3-dimension
 al\nstructure is therefore critical for developing effective therapeutic\n
 interventions. However\, its structure may continue to evolve over time\na
 s a result of mutations. We take a data science perspective to study\nthe 
 potential structural impacts due to ongoing mutations in its amino\nacid s
 equence. To do so\, we identify a key segment of the protein and\napply a 
 sequential Monte Carlo sampling method to detect possible\nchanges to the 
 space of low-energy conformations for different amino\nacid sequences. Suc
 h computational approaches can further our\nunderstanding of this importan
 t protein structure and complement\nlaboratory efforts.\n\nPLEASE NOTE: T
 his talk will be given through Microsoft Teams. To join\nplease click here
 : Student Seminar by Samuel Wong\n[https://teams.microsoft.com/l/meetup-jo
 in/19%3ameeting_N2I3YTZhY2UtYWUxZi00NjI1LTg4Y2EtOThmZmQyNzVmMmJk%40thread.
 v2/0?context=%7b%22Tid%22%3a%22723a5a87-f39a-4a22-9247-3fc240c01396%22%2c%
 22Oid%22%3a%22cd8a8966-76b6-41dc-aa7e-e66a670beacd%22%7d]\n 
DTSTAMP:20250519T094134Z
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