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<p class=MsoNormal><b>Fall 2009 Seminar Series on Computational and Systems
Biology<o:p></o:p></b></p>
<p class=MsoNormal>Friday, November 6, 2009<o:p></o:p></p>
<p class=MsoNormal>3:00 pm – 4:00 pm<o:p></o:p></p>
<p class=MsoNormal>Room 32-463D<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Presenting:<o:p></o:p></p>
<p class=MsoPlainText><b><span style='font-size:11.0pt;font-family:"Calibri","sans-serif"'>Drug
interactions and their impact on the evolution of resistance<o:p></o:p></span></b></p>
<p class=MsoNormal>
<o:p></o:p></p>
<p class=MsoNormal>Professor Roy Kishony<o:p></o:p></p>
<p class=MsoNormal>Department of Systems Biology<o:p></o:p></p>
<p class=MsoNormal>Harvard Medical School<o:p></o:p></p>
<p class=MsoNormal> <o:p></o:p></p>
<p class=MsoPlainText><span style='font-size:11.0pt;font-family:"Calibri","sans-serif"'>The
application of antibiotics is hindered by a well-known "catch-22":
The use of a drug promotes the emergence and spread of drug-resistant mutants
that ultimately render it ineffective. While certain combination therapies are
known to be more effective than single drugs, the impact of such treatments on
the evolution of drug resistance is unclear. I will describe a combined
theoretical-experimental approach to understand drug interactions and their effect
on the evolution of resistance. Our results demonstrate how we can understand
the genetic source of drug interactions and how drug interactions can be used
to diminish and even invert the selection pressure for antibiotic resistance. <o:p></o:p></span></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal> Light refreshments to be served at 2:45 pm <o:p></o:p></p>
<p class=MsoNormal> Host: Jeff Gore (<a href="mailto:jeffgore@gmail.com">jeffgore@gmail.com</a>),
Department of Physics<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
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