Literature DB >> 24896221

Proposed data model for the next version of the synthetic biology open language.

Nicholas Roehner1, Ernst Oberortner, Matthew Pocock, Jacob Beal, Kevin Clancy, Curtis Madsen, Goksel Misirli, Anil Wipat, Herbert Sauro, Chris J Myers.   

Abstract

While the first version of the Synthetic Biology Open Language (SBOL) has been adopted by several academic and commercial genetic design automation (GDA) software tools, it only covers a limited number of the requirements for a standardized exchange format for synthetic biology. In particular, SBOL Version 1.1 is capable of representing DNA components and their hierarchical composition via sequence annotations. This proposal revises SBOL Version 1.1, enabling the representation of a wider range of components with and without sequences, including RNA components, protein components, small molecules, and molecular complexes. It also introduces modules to instantiate groups of components on the basis of their shared function and assert molecular interactions between components. By increasing the range of structural and functional descriptions in SBOL and allowing for their composition, the proposed improvements enable SBOL to represent and facilitate the exchange of a broader class of genetic designs.

Keywords:  SBOL; modular design; standards; synthetic biology

Mesh:

Year:  2014        PMID: 24896221     DOI: 10.1021/sb500176h

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  3 in total

Review 1.  Engineering biological systems using automated biofoundries.

Authors:  Ran Chao; Shekhar Mishra; Tong Si; Huimin Zhao
Journal:  Metab Eng       Date:  2017-06-07       Impact factor: 9.783

2.  SEVA 2.0: an update of the Standard European Vector Architecture for de-/re-construction of bacterial functionalities.

Authors:  Esteban Martínez-García; Tomás Aparicio; Angel Goñi-Moreno; Sofía Fraile; Víctor de Lorenzo
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 19.160

Review 3.  Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Authors:  Andrew Currin; Neil Swainston; Philip J Day; Douglas B Kell
Journal:  Chem Soc Rev       Date:  2015-03-07       Impact factor: 54.564

  3 in total

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