SynBioSS-aided design of synthetic biological constructs

Yiannis N. Kaznessis

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Scopus citations


We present walkthrough examples of using SynBioSS to design, model, and simulate synthetic gene regulatory networks. SynBioSS stands for Synthetic Biology Software Suite, a platform that is publicly available with Open Licenses at An important aim of computational synthetic biology is the development of a mathematical modeling formalism that is applicable to a wide variety of simple synthetic biological constructs. SynBioSS-based modeling of biomolecular ensembles that interact away from the thermodynamic limit and not necessarily at steady state affords for a theoretical framework that is generally applicable to known synthetic biological systems, such as bistable switches, AND gates, and oscillators. Here, we discuss how SynBioSS creates links between DNA sequences and targeted dynamic phenotypes of these simple systems.

Original languageEnglish (US)
Title of host publicationMethods in Enzymology
PublisherAcademic Press Inc.
Number of pages16
StatePublished - 2011

Publication series

NameMethods in Enzymology
ISSN (Print)0076-6879
ISSN (Electronic)1557-7988

Bibliographical note

Funding Information:
This work was supported by a grant from the National Science Foundation (CBET-0425882 and CBET-0644792), the National Institutes of Health (American Recovery and Reinvestment Act grant R01GM086865), and the University of Minnesota Biotechnology Institute. Computational support from the Minnesota Supercomputing Institute (MSI) is gratefully acknowledged. This work was also supported by the National Computational Science Alliance under TG-MCA04N033. In addition, the author thanks Jon Tomshine, Ben Swiniarski, and Kostas Biliouris for help with the illustrations.


  • Biochemical networks
  • Hybrid stochastic simulation
  • Markov processes
  • Stochastic chemical kinetics
  • SynBioSS


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