Cytoscape: A Modeling Platform for Biomolecular Networks
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 3R01HG009979-17S1
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Key facts
Disease
COVID-19Start & end year
20202021Known Financial Commitments (USD)
$179,529Funder
National Institutes of Health (NIH)Principal Investigator
Trey IdekerResearch Location
United States of AmericaLead Research Institution
University Of California-San DiegoResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Prognostic factors for disease severity
Special Interest Tags
Data Management and Data Sharing
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
This application is being submitted in response to NOT-HG-20-030. We will use data-driven network andhierarchical modeling techniques enabled by Cytoscape ecosystem tools and resources to build models ofSARS-CoV-2 infection and will use the models to propose mechanisms of variance in host response based onthe analysis of population genetic and COVID-19 disease outcome data. These data-driven models will informresearch in population risk stratification and potential COVID-19 therapies. Our models, analysis results, andtoolset will be made available to the research community via a website and data repository. The models will bederived from molecular and genetic interaction data and will be used to analyze population data onSARS-CoV-2 infection, comorbidities, and clinical outcomes currently being collected by the UK BioBank. Theanalysis will be updated periodically with each release of data, maintaining an up-to-date resource for theresearch community. The modeling tools and pipelines will be user-friendly and well-documented, enablingresearchers to build alternative models or to analyze other population data.