The Systems Biology for Infectious Diseases Research Programs develop and validate predictive models of infectious disease initiation, progression, and outcomes. These models are derived from the study of the architecture and dynamics of systems-wide host/pathogen molecular interaction networks during infection, using integrated datasets generated from a combination of “omics” technologies. The research findings will provide a deeper understanding of the overall complexity of the biological, biochemical, and biophysical molecular processes within microbial organisms as well as their interaction with the host.
Main Areas of Focus
- To provide data and reagents that result from research conducted
- To provide training for the broader infectious disease scientific community to promote the use of the systems biology approach
- New York University (Contact PI: Elodie Ghedin)
- Icahn School of Medicine at Mt. Sinai (Contact PI: Adolfo Garcia-Sastre)
- Center for Infectious Disease Research (Contact PIs: Alan Aderem, David Sherman)
- University of Wisconsin Madison (Contact PI: Yoshihiro Kawaoka)
- Emory University
Systems biology studies work specific to antibacterial resistance is carried out by by the following institutions. Select the name of the institution for a project description from NIH RePORTER.
- Baylor College of Medicine (Contact PI: Tor Savidge)
- Boston College (Contact PI: Tim van Opijnen)
- Los Angeles Biomedical Institute at Harbor-UCLA Med (Contact PI: Michael Yeaman)
- University of Michigan (Contact PI: Vincent Young)
- University of California San Diego (Contact PI: Bernhard Palsson)
- Sloan-Kettering Institute for Cancer Research (Contact PI: Eric Pamer)
News and Announcements
- Scientists seek a way to predict antibiotic resistance - November 2016
- Baylor and Texas Children’s receive $7.5 million NIH grant to combat common bacteria infection, antibiotic resistance – September 2016
- Scientists Receive $9.5M NIH Grant to Combat Antibiotic Resistance—April 2016
- Don’t let the bad bugs win: U-M team seeks to outsmart C. difficile with new $9.2 million effort—March 2016
- Quantifying influenza virus diversity and transmission in humans - FluDynemo, Elodie Ghedin
All data and other resources generated by a systems biology center are owned jointly by all members of the center. Research data, protocols, and computational and statistical models must be made freely and publicly available to the scientific community.