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Published on: September 10, 2021
SynBioSS: the synthetic biology modeling suite
Anthony D Hill1, Jonathan R Tomshine, Emma M B Weeding
1Department of Chemical Engineering and Materials Science, University of Minnesota, 421 Washington Ave. SE, Minneapolis, MN 55455-0132, USA.
Bioinformatics (Oxford, England)
|September 2, 2008
Summary
Synthetic Biology Software Suite (SynBioSS) provides tools for modeling and simulating synthetic genetic constructs. This software integrates standard biological parts and kinetic parameters for multiscale simulations.
Area of Science:
- Synthetic Biology
- Computational Biology
- Bioinformatics
Background:
- Synthetic genetic construct design requires robust modeling and simulation tools.
- Existing software may lack comprehensive integration of biological parts and kinetic data.
Purpose of the Study:
- To introduce the Synthetic Biology Software Suite (SynBioSS) as a solution for modeling and simulating synthetic genetic constructs.
- To highlight SynBioSS's capabilities in integrating standard biological parts and kinetic parameters.
Main Methods:
- Development of a software suite integrating a registry of standard biological parts.
- Incorporation of a database for kinetic parameters relevant to synthetic biology.
- Implementation of multiscale simulation algorithms with both graphical and command-line interfaces.
Main Results:
- SynBioSS offers a unified platform for the design and analysis of synthetic genetic circuits.
- The software facilitates multiscale simulations, enabling a deeper understanding of construct behavior.
- Integration of diverse data sources (parts registry, kinetic database) enhances simulation accuracy.
Conclusions:
- SynBioSS provides a valuable resource for synthetic biologists, researchers, and educators.
- The software supports the advancement of synthetic biology through improved modeling and simulation capabilities.
- Availability under GNU General Public License promotes accessibility and collaborative development.
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