BMC BioinformaticsSynthetic BiologyPeer-reviewed journal article
Biology System Description Language (BiSDL): a modeling language for the design of multicellular synthetic biological systems
Leonardo GiannantoniiD, Roberta BardiniiD, Alessandro SavinoiD, Stefano Di CarloiD
Abstract
BackgroundThe Biology System Description Language (BiSDL) is an accessible, easy-to-use computational language for multicellular synthetic biology. It allows synthetic biologists to represent spatiality and multi-level cellular dynamics inherent to multicellular designs, filling a gap in the state of the art. Developed for designing and simulating spatial, multicellular synthetic biological systems, BiSDL integrates high-level conceptual design with detailed low-level modeling, fostering collaboration in the Design-Build-Test-Learn cycle. BiSDL descriptions directly compile into Nets-Within-Nets (NWNs) models, offering a unique approach to spatial and hierarchical modeling in biological systems. ResultsBiSDLs effectiveness is showcased through three case studies on complex multicellular systems: a bacterial consortium, a synthetic morphogen system and a conjugative plasmid transfer process. These studies highlight the BiSDL proficiency in representing spatial interactions and multi-level cellular dynamics. The language facilitates the compilation of conceptual designs into detailed, simulatable models, leveraging the NWNs formalism. This enables intuitive modeling of complex biological systems, making advanced computational tools more accessible to a broader range of researchers. ConclusionsBiSDL represents a significant step forward in computational languages for synthetic biology, providing a sophisticated yet user-friendly tool for designing and simulating complex biological systems with an emphasis on spatiality and cellular dynamics. Its introduction has the potential to transform research and development in synthetic biology, allowing for deeper insights and novel applications in understanding and manipulating multicellular systems.
- Citations
- 7
- FWCI
- 0.95
- Field percentile
- top 29%
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
- Capturing Multicellular System Designs Using the Synthetic Biology Open Language (SBOL)
Bradley D. Brown, Bryan Bartley, … Anil Wipat·ACS Synthetic BiologyPeer-reviewed·Jul 31, 2020
- Digitize your Biology! Modeling multicellular systems through interpretable cell behavior
Jeanette Johnson, Daniel R. Bergman, … Paul Macklin·CellPeer-reviewed·Jul 26, 2025
- Scalable composition frameworks for multicellular logic
Sarah Guiziou, Pauline Mayonove, … Jéróme Bonnet·bioRxiv·Jun 16, 2017
- Programmatic modeling for biological systems
Alexander L. R. Lubbock, Carlos F. Lopez·Current Opinion in Systems BiologyPeer-reviewed·May 24, 2021
- ISiCell: involving biologists in the design process of agent-based models in cell biology
Florian Cogoni, David Bernard, … Sylvain Cussat‐Blanc·bioRxiv·Jun 30, 2023
- Tellurium: A Python Based Modeling and Reproducibility Platform for Systems Biology
Kiri Choi, J. Kyle Medley, … Herbert M. Sauro·bioRxiv·Jun 2, 2016