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<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt"><span style="color:rgb(32,31,30);font-family:"Segoe UI","Segoe UI Web (West European)","Segoe UI",-apple-system,system-ui,Roboto,"Helvetica Neue",sans-serif;font-size:15px;background-color:rgb(255,255,255);display:inline!important">Dear
Mathematical Biology Enthusiasts,</span></div>
<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt"><span style="color:rgb(32,31,30);font-family:"Segoe UI","Segoe UI Web (West European)","Segoe UI",-apple-system,system-ui,Roboto,"Helvetica Neue",sans-serif;font-size:15px;background-color:rgb(255,255,255);display:inline!important"><u><b><br>
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<div>Tomorrow, our seminar speaker will Professor David Ardell:<br>
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<div>David Ardell, Professor Molecular and Cellular Biology<br>
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<div>Title: <span style="color:rgb(32,31,30); font-family:"Segoe UI","Segoe UI Web (West European)","Segoe UI",-apple-system,system-ui,Roboto,"Helvetica Neue",sans-serif; background-color:rgb(255,255,255)">
Decoding the Cellular Language of tRNA-protein Interactions</span><br>
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<div>When: 9:30 - 10:30am, Wednesday November 6<br>
Where: ACS 362B</div>
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<div><span>If you are interested in being on our mailing list, you can sign yourself up here: https://tinyurl.com/yygy45aw<br>
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<div>In addition, the full Fall 2019 schedule for our Math Bio Seminar is now posted on the Applied Math website (https://appliedmath.ucmerced.edu/node/52).<br>
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<div>I encourage you to take a look at what we have planned for the semester and to feel free to suggest future speakers and topics for next Semester.<br>
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<div>Looking forward to seeing everyone tomorrow morning.<br>
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<span></span>Best,</div>
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<div>Suzanne<br>
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<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt"><span style="color:rgb(32,31,30);font-family:"Segoe UI","Segoe UI Web (West European)","Segoe UI",-apple-system,system-ui,Roboto,"Helvetica Neue",sans-serif;font-size:15px;background-color:rgb(255,255,255);display:inline!important"><u><b><br>
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<div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:12pt"><span style="color:rgb(32,31,30);font-family:"Segoe UI","Segoe UI Web (West European)","Segoe UI",-apple-system,system-ui,Roboto,"Helvetica Neue",sans-serif;font-size:15px;background-color:rgb(255,255,255);display:inline!important"><u><b>Abstract:
</b></u>Cells compute their phenotypes through diffusion-driven assortative interactions of biomolecules such as RNAs and proteins. I will give a condensed overview in four parts describing our research on the evolving structural code governing tRNA-protein
interactions. In the first part I describe first steps in targeting new drugs against the tRNA-protein interaction network in eukaryotic pathogens. The development of chemotherapeutic drugs against eukaryotic pathogens is especially challenging. We used an
information criterion, rather than a conservation criterion, to bioinformatically predict Class-Informative Features (CIFs) of tRNAs in humans and in eight clades of trypanosomes, and found that tRNA CIFs are broadly conserved over approximately 250 million
years of trypanosome evolution, and show data that parasite-specific interactions are “druggable”. I will then describe </span><span style="color:rgb(32,31,30);font-family:"Segoe UI","Segoe UI Web (West European)","Segoe UI",-apple-system,system-ui,Roboto,"Helvetica Neue",sans-serif;font-size:15px;background-color:rgb(255,255,255)">research
into factors contributing to relatively rapid evolution of CIFs, and the application of CIFs to the construction of phyloclassifiers of genomes. I will close describing more mathematical and conceptual aspects of our theory applying coding theory to explain
structural aspects of tRNA-protein interactions. Here I will describe our new rugged fitness landscape model and discuss its implications for the origins of the tRNA-interaction network.</span></div>
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