# Cytoscape: A Modeling Platform for Biomolecular Networks

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2020 · $179,529

## Abstract

This application is being submitted in response to NOT-HG-20-030. We will use data-driven network and
hierarchical modeling techniques enabled by Cytoscape ecosystem tools and resources to build models of
SARS-CoV-2 infection and will use the models to propose mechanisms of variance in host response based on
the analysis of population genetic and COVID-19 disease outcome data. These data-driven models will inform
research in population risk stratification and potential COVID-19 therapies. Our models, analysis results, and
toolset will be made available to the research community via a website and data repository. The models will be
derived from molecular and genetic interaction data and will be used to analyze population data on
SARS-CoV-2 infection, comorbidities, and clinical outcomes currently being collected by the UK BioBank. The
analysis will be updated periodically with each release of data, maintaining an up-to-date resource for the
research community. The modeling tools and pipelines will be user-friendly and well-documented, enabling
researchers to build alternative models or to analyze other population data.

## Key facts

- **NIH application ID:** 10166303
- **Project number:** 3R01HG009979-17S1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO
- **Principal Investigator:** Trey Ideker
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $179,529
- **Award type:** 3
- **Project period:** 2020-09-22 → 2021-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10166303

## Citation

> US National Institutes of Health, RePORTER application 10166303, Cytoscape: A Modeling Platform for Biomolecular Networks (3R01HG009979-17S1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10166303. Licensed CC0.

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