This project will investigate and analyze the complex phenomena of disease progression at the protein network level. A software tool, NetDA (Network-based Disease Analysis) to understand the essential mechanisms of disease progression as transitions between disease stages will be developed. The outcome of this study will help not only in early diagnosis of a disease but also in drug design specific for a disease stage. Undergraduate students will be involved in the research.

The process of disease progression will be analyzed as an event-schedule-like structure, where a) each event representing a disease stage completed by a group of proteins will be analyzed in terms of clique and clique-like graphs, b) transfer of signals from one stage to the next will be analyzed using bipartite and bipartite-like graphs, and c) the strength of signals will be analyzed using diffusion kernels. The outcome of this study will help not only in early diagnosis of a disease but also in drug design specific for a disease stage. The project will integrate research into the undergraduate curriculum by assigning projects, in courses already developed by the PI, to solve problems in the proposed work. The project will provide research experience for undergraduate students using focused short projects during both academic year and summer. There is also a plan for the project to provide research experience for middle and high school students. The project will also develop approaches to introduce K-12 students to programming concepts as well as bioinformatics with the help of graphics. A summer institute is also planned to enhance student participation.

Agency
National Science Foundation (NSF)
Institute
Division of Information and Intelligent Systems (IIS)
Application #
1901628
Program Officer
Sylvia Spengler
Project Start
Project End
Budget Start
2018-06-15
Budget End
2022-05-31
Support Year
Fiscal Year
2019
Total Cost
$393,541
Indirect Cost
Name
Florida International University
Department
Type
DUNS #
City
Miami
State
FL
Country
United States
Zip Code
33199