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DTSTART:20200308T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20200819T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20200819T170000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/student-se
 minar-samuel-wong-assistant-professor
SUMMARY:Student Seminar by Samuel Wong\, Assistant Professor
CLASS:PUBLIC
DESCRIPTION:ASSESSING 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 of the\n2019 
 novel coronavirus. A specific spike protein enables this virus to\nbind to
  human cells\, and a thorough understanding of its 3-dimensional\nstructur
 e is therefore critical for developing effective therapeutic\nintervention
 s. However\, its structure may continue to evolve over time\nas a result o
 f mutations. We take a data science perspective to study\nthe potential st
 ructural impacts due to ongoing mutations in its amino\nacid sequence. To 
 do so\, we identify a key segment of the protein and\napply a sequential M
 onte Carlo sampling method to detect possible\nchanges to the space of low
 -energy conformations for different amino\nacid sequences. Such computatio
 nal approaches can further our\nunderstanding of this important protein st
 ructure and complement\nlaboratory efforts.\n\nPLEASE NOTE: This talk wil
 l be given through Microsoft Teams. To join\nplease click here: Student Se
 minar by Samuel Wong\n[https://teams.microsoft.com/l/meetup-join/19%3ameet
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DTSTAMP:20260409T215549Z
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