Literature DB >> 17804435

A syntactic model to design and verify synthetic genetic constructs derived from standard biological parts.

Yizhi Cai1, Brian Hartnett, Claes Gustafsson, Jean Peccoud.   

Abstract

MOTIVATION: The sequence of artificial genetic constructs is composed of multiple functional fragments, or genetic parts, involved in different molecular steps of gene expression mechanisms. Biologists have deciphered structural rules that the design of genetic constructs needs to follow in order to ensure a successful completion of the gene expression process, but these rules have not been formalized, making it challenging for non-specialists to benefit from the recent progress in gene synthesis.
RESULTS: We show that context-free grammars (CFG) can formalize these design principles. This approach provides a path to organizing libraries of genetic parts according to their biological functions, which correspond to the syntactic categories of the CFG. It also provides a framework for the systematic design of new genetic constructs consistent with the design principles expressed in the CFG. Using parsing algorithms, this syntactic model enables the verification of existing constructs. We illustrate these possibilities by describing a CFG that generates the most common architectures of genetic constructs in Escherichia coli. AVAILABILITY: A web site allows readers to experiment with the algorithms presented in this article: www.genocad.org. SUPPLEMENTARY INFORMATION: Sequences and models are available at Bioinformatics online.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17804435     DOI: 10.1093/bioinformatics/btm446

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  26 in total

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

Authors:  Emma Weeding; Jason Houle; Yiannis N Kaznessis
Journal:  Brief Bioinform       Date:  2010-02-24       Impact factor: 11.622

Review 2.  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

3.  Towards programming languages for genetic engineering of living cells.

Authors:  Michael Pedersen; Andrew Phillips
Journal:  J R Soc Interface       Date:  2009-04-15       Impact factor: 4.118

4.  Intrinsic biocontainment: multiplex genome safeguards combine transcriptional and recombinational control of essential yeast genes.

Authors:  Yizhi Cai; Neta Agmon; Woo Jin Choi; Alba Ubide; Giovanni Stracquadanio; Katrina Caravelli; Haiping Hao; Joel S Bader; Jef D Boeke
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-26       Impact factor: 11.205

5.  Programming languages for synthetic biology.

Authors:  P Umesh; F Naveen; Chanchala Uma Maheswara Rao; Achuthsankar S Nair
Journal:  Syst Synth Biol       Date:  2011-02-20

6.  Optimizing DNA assembly based on statistical language modelling.

Authors:  Gang Fang; Shemin Zhang; Yafei Dong
Journal:  Nucleic Acids Res       Date:  2017-12-15       Impact factor: 16.971

7.  Rule-based design of synthetic transcription factors in eukaryotes.

Authors:  Oliver Purcell; Jean Peccoud; Timothy K Lu
Journal:  ACS Synth Biol       Date:  2014-01-03       Impact factor: 5.110

8.  GenoCAD for iGEM: a grammatical approach to the design of standard-compliant constructs.

Authors:  Yizhi Cai; Mandy L Wilson; Jean Peccoud
Journal:  Nucleic Acids Res       Date:  2010-02-18       Impact factor: 16.971

9.  Modeling structure-function relationships in synthetic DNA sequences using attribute grammars.

Authors:  Yizhi Cai; Matthew W Lux; Laura Adam; Jean Peccoud
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

10.  Writing DNA with GenoCAD.

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.