Spatial modeling algorithms for reactions and transport in biological cells.
Emmet A Francis1,2, Justin G Laughlin2,3, Jørgen S Dokken4
1Department of Pharmacology, University of California San Diego School of Medicine, La Jolla, CA, USA.
Nature Computational Science
|December 20, 2024
Summary
SMART software simulates complex cell signaling networks in realistic geometries. This computational tool enhances understanding of biological processes by efficiently modeling biochemical reactions and transport.
Area of Science:
- Computational Biology
- Biophysics
- Cellular Signaling
Background:
- Cell signaling networks are crucial for cellular functions but challenging to model.
- Existing models struggle with realistic cell geometries and spatiotemporal dynamics.
Purpose of the Study:
- Introduce Spatial Modeling Algorithms for Reactions and Transport (SMART), a novel software package.
- Enable efficient and accurate simulation of cell signaling in complex biological environments.
Main Methods:
- SMART utilizes high-level user specifications to assemble and solve mathematical models.
- Employs finite element analysis (FEA) via the FEniCS Project for accurate simulations.
- Incorporates experimentally derived, realistic cellular geometries represented by tetrahedral meshes.
Main Results:
- Demonstrated SMART's application to YAP/TAZ mechanotransduction, neuronal and cardiomyocyte calcium signaling, and mitochondrial ATP generation.
- Validated the software's accuracy, flexibility, and efficiency across diverse biological systems.
- Showcased successful modeling across various temporal and spatial scales.
Conclusions:
- SMART provides a powerful and versatile platform for simulating cell signaling.
- Facilitates in-depth analysis of complex biological processes within realistic cellular contexts.
- Advances computational approaches in systems biology and biophysics.
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