A Stochastic Simulation for Evolution in a Changing Environment

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Overview

Title
A Stochastic Simulation for Evolution in a Changing Environment
Contributors
Bronson, Ryan (creator)
Daniel Weinreich (advisor)
Brown University. Karen T. Romer Undergraduate Teaching and Research Awards (research program)
Doi
10.26300/90yf-8708
Date Created
2018
Abstract
Using our stochastic MATLAB simulation of evolution of drug resistance evolution in malaria, we observe patterns in this evolution given different temporal drug regimens. The MATLAB code is designed to account for changing drug concentration due to human metabolism, and we account for the mutational bias observed in P. falciparum that makes certain mutations more likely than others. This computational research may identify a likely optimal drug regime for minimizing drug resistance within malaria patients. We also apply our simulation to a model of drug resistance in which the pathogen metabolizes the drug, therefore decreasing its concentration. In this case, the environment is dependent on the frequency of certain genotypes. This eco-evolutionary application is essential for understanding within-patient evolution of drug resistance.
Keywords
Applied mathematics
Malaria
Computational biology
Evolution
Communicable diseases
Drug resistance
Population genetics--Mathematical models
Extent
1 poster

Citation

Bronson, Ryan, "A Stochastic Simulation for Evolution in a Changing Environment" (2018). Summer Research Symposium. Brown Digital Repository. Brown University Library. https://doi.org/10.26300/90yf-8708

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    Each year, Brown showcases the research of nearly 200 undergraduates at our Summer Research Symposium. More than half of the student-researchers are UTRA recipients, while others receive funding from a variety of Brown-administered and national programs and fellowships. Presenters include ...

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