Systems Biology for Infectious Diseases (U19 Clinical Trial Not Allowed)
Funding Agency:
- National Institutes of Health
The Systems Biology for Infectious Diseases Centers address complex questions across bacterial, viral, fungal, and parasitic pathogens and their vectors, where applicable, with high-throughput (HTP) generation, analysis and computational modeling of large datasets (e.g. “omics”). The proposed initiative will continue to support this cross-disciplinary approach with an emphasis on integration of large datasets and metadata (e.g. primary, systems, and electronic health records (EHR)) to generate actionable hypotheses. For the purpose of this initiative, the systems biology approach consists of repeated cycles of experimental data generation, analysis and integration, modeling of systems-wide networks structures and dynamics, predictions of microbial and host ‘systems’ responses to changes/perturbations/alterations of experimental conditions and experimental validation, and building predictive models of system-wide molecular networks structure and dynamics to identify predictive markers of infectious diseases. Multi-component projects will be supported to transform clinical data/metadata to predict onset and severity across infectious diseases by:
- Integrating clinical metadata, large datasets, and technologies in the context of infectious diseases.
- Applying findings to predict disease outcome and inform treatment and/or mitigation options.
- Validating predictions and obtaining mechanistic insight from laboratory and animal studies.
- Refining predictive models to improve accuracy.
Budgets for direct costs of up to $1,500,000 per year may be requested. Application budgets need to reflect the actual needs of the proposed project.
January 14, 2022
Reed Shabman, Ph.D.; National Institute of Allergy and Infectious Diseases (NIAID)
Telephone: 301-761-6433; Email: reed.shabman@nih.gov