» Articles » PMID: 26840718

SpringSaLaD: A Spatial, Particle-Based Biochemical Simulation Platform with Excluded Volume

Overview
Journal Biophys J
Publisher Cell Press
Specialty Biophysics
Date 2016 Feb 4
PMID 26840718
Citations 35
Authors
Affiliations
Soon will be listed here.
Abstract

We introduce Springs, Sites, and Langevin Dynamics (SpringSaLaD), a comprehensive software platform for spatial, stochastic, particle-based modeling of biochemical systems. SpringSaLaD models biomolecules in a coarse-grained manner as a group of linked spherical sites with excluded volume. This mesoscopic approach bridges the gap between highly detailed molecular dynamics simulations and the various methods used to study network kinetics and diffusion at the cellular level. SpringSaLaD is a standalone tool that supports model building, simulation, visualization, and data analysis, all through a user-friendly graphical user interface that should make it more accessible than tools built into more comprehensive molecular dynamics infrastructures. Importantly, for bimolecular reactions we derive an exact expression relating the macroscopic on-rate to the various microscopic parameters with the inclusion of excluded volume; this makes SpringSaLaD more accurate than other tools, which rely on approximate relationships between these parameters.

Citing Articles

Parallelization of particle-based reaction-diffusion simulations using MPI.

Guo S, Korolija N, Milfeld K, Jhaveri A, Sang M, Ying Y bioRxiv. 2024; .

PMID: 39713431 PMC: 11661114. DOI: 10.1101/2024.12.06.627287.


Bridging molecular to cellular scales for models of membrane receptor signaling.

Peterson K, Slepchenko B, Loew L bioRxiv. 2024; .

PMID: 39677765 PMC: 11643039. DOI: 10.1101/2024.12.04.626844.


Measurement of solubility product reveals the interplay of oligomerization and self-association for defining condensate formation.

Chattaraj A, Baltaci Z, Chung S, Mayer B, Loew L, Ditlev J Mol Biol Cell. 2024; 35(9):ar122.

PMID: 39046778 PMC: 11449392. DOI: 10.1091/mbc.E24-01-0030.


Measurement of solubility product in a model condensate reveals the interplay of small oligomerization and self-association.

Chattaraj A, Baltaci Z, Mayer B, Loew L, Ditlev J bioRxiv. 2024; .

PMID: 38328089 PMC: 10849621. DOI: 10.1101/2024.01.23.576869.


Technologies for whole-cell modeling: Genome-wide reconstruction of a cell in silico.

Kaizu K, Takahashi K Dev Growth Differ. 2023; 65(9):554-564.

PMID: 37856476 PMC: 11520977. DOI: 10.1111/dgd.12897.


References
1.
Schoneberg J, Ullrich A, Noe F . Simulation tools for particle-based reaction-diffusion dynamics in continuous space. BMC Biophys. 2015; 7:11. PMC: 4347613. DOI: 10.1186/s13628-014-0011-5. View

2.
Sorokina O, Sorokin A, Armstrong J, Danos V . A simulator for spatially extended kappa models. Bioinformatics. 2013; 29(23):3105-6. PMC: 3834793. DOI: 10.1093/bioinformatics/btt523. View

3.
Falkenberg C, Blinov M, Loew L . Pleomorphic ensembles: formation of large clusters composed of weakly interacting multivalent molecules. Biophys J. 2013; 105(11):2451-60. PMC: 3853317. DOI: 10.1016/j.bpj.2013.10.016. View

4.
Schaff J, Fink C, Slepchenko B, Carson J, Loew L . A general computational framework for modeling cellular structure and function. Biophys J. 1997; 73(3):1135-46. PMC: 1181013. DOI: 10.1016/S0006-3495(97)78146-3. View

5.
Michalski P, Loew L . CaMKII activation and dynamics are independent of the holoenzyme structure: an infinite subunit holoenzyme approximation. Phys Biol. 2012; 9(3):036010. PMC: 3507550. DOI: 10.1088/1478-3975/9/3/036010. View