» Articles » PMID: 28475309

Simbiotics: A Multiscale Integrative Platform for 3D Modeling of Bacterial Populations

Overview
Journal ACS Synth Biol
Date 2017 May 6
PMID 28475309
Citations 18
Authors
Affiliations
Soon will be listed here.
Abstract

Simbiotics is a spatially explicit multiscale modeling platform for the design, simulation and analysis of bacterial populations. Systems ranging from planktonic cells and colonies, to biofilm formation and development may be modeled. Representation of biological systems in Simbiotics is flexible, and user-defined processes may be in a variety of forms depending on desired model abstraction. Simbiotics provides a library of modules such as cell geometries, physical force dynamics, genetic circuits, metabolic pathways, chemical diffusion and cell interactions. Model defined processes are integrated and scheduled for parallel multithread and multi-CPU execution. A virtual lab provides the modeler with analysis modules and some simulated lab equipment, enabling automation of sample interaction and data collection. An extendable and modular framework allows for the platform to be updated as novel models of bacteria are developed, coupled with an intuitive user interface to allow for model definitions with minimal programming experience. Simbiotics can integrate existing standards such as SBML, and process microscopy images to initialize the 3D spatial configuration of bacteria consortia. Two case studies, used to illustrate the platform flexibility, focus on the physical properties of the biosystems modeled. These pilot case studies demonstrate Simbiotics versatility in modeling and analysis of natural systems and as a CAD tool for synthetic biology.

Citing Articles

A Hamilton principle-based model for diffusion-driven biofilm growth.

Klempt F, Soleimani M, Wriggers P, Junker P Biomech Model Mechanobiol. 2024; 23(6):2091-2113.

PMID: 39347863 PMC: 11554842. DOI: 10.1007/s10237-024-01883-x.


Partitioning of a 2-bit hash function across 66 communicating cells.

Padmakumar J, Sun J, Cho W, Zhou Y, Krenz C, Han W Nat Chem Biol. 2024; 21(2):268-279.

PMID: 39317847 DOI: 10.1038/s41589-024-01730-1.


The emerging challenge of endocarditis after transcatheter aortic valve implantation: time for innovative treatment approaches.

Cusumano J, Kalogeropoulos A, Le Provost M, Gallo N, Levine S, Inzana T Clin Microbiol Rev. 2024; 37(4):e0016823.

PMID: 39235238 PMC: 11629618. DOI: 10.1128/cmr.00168-23.


BioNexusSentinel: a visual tool for bioregulatory network and cytohistological RNA-seq genetic expression profiling within the context of multicellular simulation research using ChatGPT-augmented software engineering.

Matzko R, Konur S Bioinform Adv. 2024; 4(1):vbae046.

PMID: 38571784 PMC: 10990683. DOI: 10.1093/bioadv/vbae046.


Is it selfish to be filamentous in biofilms? Individual-based modeling links microbial growth strategies with morphology using the new and modular iDynoMiCS 2.0.

Cockx B, Foster T, Clegg R, Alden K, Arya S, Stekel D PLoS Comput Biol. 2024; 20(2):e1011303.

PMID: 38422165 PMC: 10947719. DOI: 10.1371/journal.pcbi.1011303.