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 work together to integrate large-scale experimental biological and clinical data across temporal and spatial scales through computational and modeling tools to better understand infectious diseases. Through a collaborative effort, 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.

Main Areas of Focus

  • Provide novel insights into the complex relationship between a pathogen and its host
  • Reveal potential biomarkers to predict disease onset, severity, and progression and response to therapeutic interventions.
  • Identify targets for new therapeutics and intervention strategies Meetings
Programs

Systems Biology and Antibacterial Resistance Program

There are six sites that conduct systems biology research specific to antimicrobial resistance (AMR). The purpose of these projects is to identify, quantify, model, and predict the molecular interactions of AMR bacterial pathogens and their host during infectious disease initiation and progression or in response to antibacterial treatment.

Systems Biology: The Next Generation Program

The centers in the Systems Biology: The Next Generation Program 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.

Steering Committee and Working Groups

Steering Committee

The NIAID/DMID Systems Biology Consortium for Infectious Diseases Steering Committee was established by NIAID in collaboration with the awardees and for example, will attend the annual meetings, review the progress of the centers focused on antimicrobial resistance and infectious diseases. The Steering Committee members have broad scientific and clinical expertise and are not current collaborators of the funded programs.

Working Groups

The NIAID/DMID Systems Biology Consortium for Infectious Diseases established working groups composed of members from each of the centers to foster collaboration in areas of shared expertise and project milestones. The working groups focus on critical areas of the program: modeling, data dissemination, and clinical.

Pathogens and Infectious Diseases Studied

The NIAID/DMID Systems Biology Consortium for Infectious Diseases works with a variety of pathogens from bacteria to viruses, antimicrobial resistance and infectious diseases. Several of these pathogens are considered by NIAID as emerging infectious diseases.

Resources and Data Sharing

Rapid and unrestricted sharing of data and research resources is essential for advancing research on human health and infectious diseases. The utility of data and resources to the scientific community is largely dependent on how quickly these data are deposited into public databases, whether the data are easy to find, accessible, and can be re-used by others. NIAID is committed to rapid release of experimental data including genomic and other large-scale data types and in addition recognizes that clinical data and other metadata associated with the genomic, -omics, and other data are valuable research resources.

Meetings

The NIAID/DMID Systems Biology Consortium for Infectious Diseases hosts a monthly webinar series to share the expertise, technological advances, and scientific breakthroughs at each of the centers, and serves as a platform to foster collaboration and knowledge sharing. This lecture series includes members of the NIAID/DMID Systems Biology Consortium, steering committee, NIAID, and other invited scientists. Monthly lectures are given by participating or invited scientists, ranging from senior investigators to graduate student researchers.

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.

Publications

See PubMed for articles from the current systems biology Centers.

Content last reviewed on September 14, 2018