Christodoulos floudas, the Stephen C. Macaleer ’63 Professor in Engineering and Applied Science, and Princeton engineering doctoral student Meghan Bellows-Peterson have developed a way of using mathematical models to identify potential drugs for fighting HIV.
Collaborating with researchers at the Johns Hopkins University School of Medicine, Floudas and Bellows-Peterson combined concepts from optimization theory with computational biology to take some of the guesswork out of discovering new drugs.
Using their program, the researchers were able to find a way of selecting peptides that could fit a binding site on HIV.
The program uses a more sophisticated method to sort through millions of possible peptides to identify the few which show potential, which reducing the amount of time and resources it takes to find new drugs.
The team’s findings were reported in the Nov. 17, 2010 issue of “Biophysical Journal.” The scientists hope to extend the use of their model to other diseases, particularly cancer.