Nature Computational ScienceSystems BiologyPeer-reviewed journal article
Spatial Modeling Algorithms for Reactions and Transport (SMART) in Biological Cells
Emmet A. FrancisiD, Justin G. LaughliniD, Jørgen S. DokkeniD, Henrik Nicolay Topnes FinsbergiD, Christopher T. LeeiD, Marie Elisabeth RognesiD, Padmini RangamaniiD
Abstract
Biological cells rely on precise spatiotemporal coordination of biochemical reactions to control their many functions. Such cell signaling networks have been a common focus for mathematical models, but they remain challenging to simulate, particularly in realistic cell geometries. Herein, we present our software, Spatial Modeling Algorithms for Reaction and Transport (SMART), a package that takes in high-level user specifications about cell signaling networks and molecular transport, and then assembles and solves the associated mathematical and computational systems. SMART uses state-of-the-art finite element analysis, via the FEniCS Project software, to efficiently and accurately resolve cell signaling events over discretized cellular and subcellular geometries. We demonstrate its application to several different biological systems, including YAP/TAZ mechanotransduction, calcium signaling in neurons and cardiomyocytes, and ATP generation in mitochondria. Throughout, we utilize experimentally-derived realistic cellular geometries represented by well-conditioned tetrahedral meshes. These scenarios demonstrate the applicability, flexibility, accuracy and efficiency of SMART across a range of temporal and spatial scales.
- Citations
- 14
- FWCI
- 1.90
- Field percentile
- top 13%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Multi-algorithm particle simulations with Spatiocyte
Satya N.V. Arjunan, Koichi Takahashi·Methods in molecular biologyPeer-reviewed·Jan 1, 2017
- pSpatiocyte: a high-performance simulator for intracellular reaction-diffusion systems
Satya N.V. Arjunan, Atsushi Miyauchi, … Koichi Takahashi·BMC BioinformaticsPeer-reviewed·Jan 29, 2020
- MCell4 with BioNetGen: A Monte Carlo Simulator of Rule-Based Reaction-Diffusion Systems with Python Interface
A. Husar, M. Ordyan, … T. J. Sejnowski·bioRxiv·May 17, 2022
- Hybrid vesicle and reaction-diffusion modeling with STEPS
Iain Hepburn, Jules Lallouette, … Erik De Schutter·Communications BiologyPeer-reviewed·May 15, 2024
- Mechanochemical Feedback between Cell Shape and Intracellular Mechanics Revealed by a Finite-Element Framework
Alessandro Contri, Emmet A. Francis, … Padmini Rangamani·bioRxiv·Jul 6, 2026
- Compartmental and spatial rule-based modeling with Virtual Cell (VCell)
M. L. Blinov, J. C. Schaff, … L. M. Loew·bioRxiv·Aug 3, 2017