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-19
  • Start & end year

    2020
    2021
  • Known Financial Commitments (USD)

    $179,529
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Trey Ideker
  • Research Location

    United States of America
  • Lead Research Institution

    University Of California-San Diego
  • Research 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.