BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
DTSTART:20260329T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20261025T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20261002T104548Z
UID:6abf50dd35897674323374@ist.ac.at
DTSTART:20261013T100000
DTEND:20261013T110000
DESCRIPTION:Speaker: Anjali Yadav\nhosted by Edouard Hannezo\nAbstract: Bac
 teriophages interact with their bacterial hosts across a remarkable range 
 of scales. Successful infection requires a virus to encounter a host\, rem
 ain associated with it long enough to locate an appropriate receptor\, tra
 nsfer its genome into the cell\, and ultimately propagate in an environmen
 t where host populations are themselves structured and dynamic. Each of th
 ese stages is shaped by stochasticity\, spatial organization\, and physica
 l constraints\, making phage–bacteria systems a rich setting for studyin
 g how microscopic processes influence ecological outcomes.In this talk\, I
  will discuss theoretical and computational approaches to several aspects 
 of this problem. At the population level\, bacterial growth into microcolo
 nies can qualitatively alter classical predator–prey dynamics\, generati
 ng heterogeneous colony-size distributions and stabilizing phage–host co
 existence. At the scale of an individual infection event\, receptor findin
 g can be viewed as a stochastic search problem in which multivalent tail-f
 iber attachment must balance stable association with the ability to explor
 e the cell surface. Moving further into the infection process\, coarse-gra
 ined polymer simulations provide a framework for examining how genome tran
 slocation may couple to the activity of molecular motors such as host and 
 phage RNA polymerases.Together\, these examples illustrate how phage–hos
 t dynamics emerge from interactions between processes operating at very di
 fferent scales\, and how relatively simple physical and stochastic models 
 can help connect molecular mechanisms with population-level behavior.
LOCATION:Sunstone Bldg / Ground floor / Big Seminar Room A / 27 seats (I23.
 EG.102)\, ISTA
ORGANIZER:cpetz@ist.ac.at
SUMMARY:Anjali Yadav: How Phages Find\, Invade\, and Coexist with Their Hos
 ts: Multiscale Models of Phage–Bacteria Interactions 
URL:https://talks-calendar.ista.ac.at/events/6676
END:VEVENT
END:VCALENDAR
