The Systems Biology Consortium for Infectious Diseases is a group of interdisciplinary scientists that bridge disparate scientific disciplines including microbiology, immunology, infectious diseases, microbiome, mathematics, physics, bioinformatics, computational biology, machine learning, statistical methods, and mathematical modeling. These teams integrate large-scale experimental biological and clinical data across temporal and spatial scales. Scientists iteratively test and validate hypotheses to gain insight into the overall complexity of the biological, biochemical, and biophysical molecular processes within microbial organisms as well as their interaction with the host. The research findings drive innovation and discovery, with the goal of developing novel therapeutic and diagnostic strategies, and predictive signatures of disease to alleviate infectious disease burden and provide solutions to complex public health challenges and disease outbreaks.
Currently funded centers
SARS-CoV adaptations through a Systems Biology Lens (SYBIL)
PI: Adolfo Garcia-Sastre, Icahn School of Medicine at Mount Sinai
Successful Clinical Response in Pneumonia Therapy (SCRIPT) Systems Biology Center
PI: Richard Wunderink, Northwestern University at Chicago
Center for Viral Systems Biology (CViSB)
PI: Kristian Andersen, Scripps Research
Systems Epigenomics of Persistent Bloodstream Infection
PI: Michael Yeaman, University of California, Los Angeles
Host Pathogen Mapping Initiative (HPMI)
PI: Nevan Krogan, University of California, San Francisco