BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Predictive models of bacterial response and the evolution of resis
 tance to antibiotics - Bartek Waclaw\, University of Edinburgh
DTSTART:20200117T160000Z
DTEND:20200117T170000Z
UID:TALK132547@talks.cam.ac.uk
CONTACT:Diana Fusco
DESCRIPTION:The emergence and spread of antibiotic-resistant microorganism
 s is an increasingly serious global problem. Despite significant advances 
 in our understanding of genetic alterations and molecular mechanisms behin
 d resistance\, quantitative models that could accurately predict the respo
 nse of bacterial populations to antibiotic treatment are rare.  In this ta
 lk I will discuss our attempts at constructing such predictive\, experimen
 t-driven models.\n\nI will first discuss experimental approaches (single-c
 ell imaging\, continuous culture systems\, automated liquid handling platf
 orms\, whole-genome sequencing) that we use to understand short- and long-
 term bacterial response to a sudden exposure to an antibiotic. I will then
  show how the experimental results can be understood using physics-inspire
 d models of increasing complexity: from a simple stochastic birth-death mo
 del of sensitive and resistant cells to individual-based simulations with 
 explicit modelling of molecular mechanisms of antibiotic’s mode of actio
 n. Finally\, I will discuss how these models can be used to make testable 
 predictions to falsify different biological hypotheses about the emergence
  of antibiotic resistance.
LOCATION:Rutherford building\, Seminar Room B
END:VEVENT
END:VCALENDAR