Analytical and numerical techniques will be applied to the study of host-parasite coevolution. In particular, the quasispecies model of Eigen can be manipulated to provide a non-linear set of equations that can describe a wide variety of interacting species. By choosing the parameters of the model, these equations can describe various forms of parasitism, symbiotic commensalism and mutualism. The inclusion of experimental data in these choices should allow for a reasonable description of numerous important parasites, such as Ebola and HIV. Numerically, a set of simulations will be implemented to study the effects of the fitness landscape on evolutionary dynamics. As well, these simulations can be used to gauge the validity of the approximations inherent in our analytical model. Together, these form a complementary set of methods that can shed light on a variety of topics, including population genetics, evolution, drug design and the nature of diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
1F32GM071277-01
Application #
6793909
Study Section
Special Emphasis Panel (ZRG1-F04 (20))
Program Officer
Basavappa, Ravi
Project Start
2004-04-01
Project End
2004-08-31
Budget Start
2004-04-01
Budget End
2004-08-31
Support Year
1
Fiscal Year
2004
Total Cost
$17,570
Indirect Cost
Name
Harvard University
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
082359691
City
Cambridge
State
MA
Country
United States
Zip Code
02138