# Computational Core

> **NIH NIH U54** · JOHNS HOPKINS UNIVERSITY · 2020 · $252,933

## Abstract

Summary - Computational Core 
The proposed computational core will provide theory and modeling hands-on expertise to all of the projects in 
the Center. At any time, there will be at least one postdoc or graduate student of the Core actively interfacing 
with each project. Regular monthly meetings between project PIs and the modeling core will help to clarify the 
experimental and modeling objectives of each project for enhanced integration. Significance of experimental 
and modeling results will be discussed at these meetings, and future experiments and modeling work will be 
planned. The computational core will also actively develop user-friendly software packages for assisting data 
collection, as well as Matlab routines and software for running simulations by non-experts. Tutorials on 
modeling concepts, modeling results, and developed software will be conducted at center-wide retreats as well 
as center symposia twice a year. All of the developed software packages will be made available to researchers 
in the Center as well as the larger community. The aims of the computational aims are: (1) Develop a 3D 
computational framework for simulating single-cell migration simultaneously with reaction-diffusion-advection 
equations for complex biochemical signaling pathways. (2) Construct a computational platform for simulating 
discrete numbers of interacting motile cells. Incorporate key physical parameters as well as coarse-grained 
modeling of biochemical signaling pathways. (3) Bridge from discrete models of single cells to 3D continuum 
algorithms for simulating the migration of multicellular groups.

## Key facts

- **NIH application ID:** 10016200
- **Project number:** 5U54CA210173-05
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** SEAN X SUN
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $252,933
- **Award type:** 5
- **Project period:** 2016-08-29 → 2022-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10016200

## Citation

> US National Institutes of Health, RePORTER application 10016200, Computational Core (5U54CA210173-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10016200. Licensed CC0.

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