Literature DB >> 20639523

SynBioSS designer: a web-based tool for the automated generation of kinetic models for synthetic biological constructs.

Emma Weeding1, Jason Houle, Yiannis N Kaznessis.   

Abstract

Modeling tools can play an important role in synthetic biology the same way modeling helps in other engineering disciplines: simulations can quickly probe mechanisms and provide a clear picture of how different components influence the behavior of the whole. We present a brief review of available tools and present SynBioSS Designer. The Synthetic Biology Software Suite (SynBioSS) is used for the generation, storing, retrieval and quantitative simulation of synthetic biological networks. SynBioSS consists of three distinct components: the Desktop Simulator, the Wiki, and the Designer. SynBioSS Designer takes as input molecular parts involved in gene expression and regulation (e.g. promoters, transcription factors, ribosome binding sites, etc.), and automatically generates complete networks of reactions that represent transcription, translation, regulation, induction and degradation of those parts. Effectively, Designer uses DNA sequences as input and generates networks of biomolecular reactions as output. In this paper we describe how Designer uses universal principles of molecular biology to generate models of any arbitrary synthetic biological system. These models are useful as they explain biological phenotypic complexity in mechanistic terms. In turn, such mechanistic explanations can assist in designing synthetic biological systems. We also discuss, giving practical guidance to users, how Designer interfaces with the Registry of Standard Biological Parts, the de facto compendium of parts used in synthetic biology applications.

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Year:  2010        PMID: 20639523      PMCID: PMC2905524          DOI: 10.1093/bib/bbq002

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  24 in total

1.  CADLIVE for constructing a large-scale biochemical network based on a simulation-directed notation and its application to yeast cell cycle.

Authors:  Hiroyuki Kurata; Nana Matoba; Natsumi Shimizu
Journal:  Nucleic Acids Res       Date:  2003-07-15       Impact factor: 16.971

2.  Computer-aided design of modular protein devices: Boolean AND gene activation.

Authors:  H Salis; Y N Kaznessis
Journal:  Phys Biol       Date:  2006-12-22       Impact factor: 2.583

Review 3.  Consistent design schematics for biological systems: standardization of representation in biological engineering.

Authors:  Yukiko Matsuoka; Samik Ghosh; Hiroaki Kitano
Journal:  J R Soc Interface       Date:  2009-06-03       Impact factor: 4.118

4.  Model reduction of multiscale chemical langevin equations: a numerical case study.

Authors:  Vassilios Sotiropoulos; Marie-Nathalie Contou-Carrere; Prodromos Daoutidis; Yiannis N Kaznessis
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2009 Jul-Sep       Impact factor: 3.710

5.  Computational methods in synthetic biology.

Authors:  Yiannis N Kaznessis
Journal:  Biotechnol J       Date:  2009-10       Impact factor: 4.677

6.  TinkerCell: modular CAD tool for synthetic biology.

Authors:  Deepak Chandran; Frank T Bergmann; Herbert M Sauro
Journal:  J Biol Eng       Date:  2009-10-29       Impact factor: 4.355

7.  Writing DNA with GenoCAD.

Authors:  Michael J Czar; Yizhi Cai; Jean Peccoud
Journal:  Nucleic Acids Res       Date:  2009-05-08       Impact factor: 16.971

8.  GeNGe: systematic generation of gene regulatory networks.

Authors:  Hendrik Hache; Christoph Wierling; Hans Lehrach; Ralf Herwig
Journal:  Bioinformatics       Date:  2009-02-27       Impact factor: 6.937

9.  Programming gene expression with combinatorial promoters.

Authors:  Robert Sidney Cox; Michael G Surette; Michael B Elowitz
Journal:  Mol Syst Biol       Date:  2007-11-13       Impact factor: 11.429

Review 10.  Models for synthetic biology.

Authors:  Yiannis N Kaznessis
Journal:  BMC Syst Biol       Date:  2007-11-06
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  16 in total

Review 1.  Computational tools for the synthetic design of biochemical pathways.

Authors:  Marnix H Medema; Renske van Raaphorst; Eriko Takano; Rainer Breitling
Journal:  Nat Rev Microbiol       Date:  2012-01-23       Impact factor: 60.633

2.  proTeOn and proTeOff, new protein devices that inducibly activate bacterial gene expression.

Authors:  Katherine Volzing; Konstantinos Biliouris; Yiannis N Kaznessis
Journal:  ACS Chem Biol       Date:  2011-08-18       Impact factor: 5.100

3.  Stochastic model reduction using a modified Hill-type kinetic rate law.

Authors:  Patrick Smadbeck; Yiannis Kaznessis
Journal:  J Chem Phys       Date:  2012-12-21       Impact factor: 3.488

4.  Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities.

Authors:  Chang F Quo; Chanchala Kaddi; John H Phan; Amin Zollanvari; Mingqing Xu; May D Wang; Gil Alterovitz
Journal:  Brief Bioinform       Date:  2012-07       Impact factor: 11.622

5.  SynBioSS-aided design of synthetic biological constructs.

Authors:  Yiannis N Kaznessis
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

Review 6.  Mathematical models in biology: from molecules to life.

Authors:  Yiannis N Kaznessis
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2011-02-18

7.  Chemical master equation closure for computer-aided synthetic biology.

Authors:  Patrick Smadbeck; Yiannis N Kaznessis
Journal:  Methods Mol Biol       Date:  2015

8.  Solution of Chemical Master Equations for Nonlinear Stochastic Reaction Networks.

Authors:  Patrick Smadbeck; Yiannis N Kaznessis
Journal:  Curr Opin Chem Eng       Date:  2014-08-01       Impact factor: 5.163

Review 9.  Synthetic Biology in Plants, a Boon for Coming Decades.

Authors:  Dipinte Gupta; Gauri Sharma; Pooja Saraswat; Rajiv Ranjan
Journal:  Mol Biotechnol       Date:  2021-08-21       Impact factor: 2.695

10.  PromoterCAD: Data-driven design of plant regulatory DNA.

Authors:  Robert Sidney Cox; Koro Nishikata; Sayoko Shimoyama; Yuko Yoshida; Minami Matsui; Yuko Makita; Tetsuro Toyoda
Journal:  Nucleic Acids Res       Date:  2013-06-12       Impact factor: 16.971

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