Systems Biology Consortium for Infectious Diseases

The NIAID/Division of Microbiology and Infectious Diseases (DMID) 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.

Programs

Currently Funded: Systems Biology for Infectious Diseases

In response to RFA-AI-21-065 Centers conduct research to 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. 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, and help researchers identify targets for the development of diagnostics, vaccines, and therapeutics.

Previously Funded Systems Biology Centers

For more information, please see the Systems Biology Program History page.
 

Training Opportunities

The NIAID/DMID Systems Biology Consortium for Infectious Diseases is committed to training the next generation of researchers and informing the community about the approaches and resources (datasets, analysis tools, predictive models) generated by the programs.

Consortium training and outreach activities include workshops, annual meeting postdoctoral networking sessions, and a webinar series.

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