scholarly journals Special Issue “Metabolic Engineering and Synthetic Biology Volume 2”

Metabolites ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 35
Author(s):  
An N. T. Phan ◽  
Lars M. Blank

In times of ever-increasing demand for chemicals and the subsequent increase in CO2 in the atmosphere, we have to intensify our efforts to establish a circular (bio) economy [...]

2016 ◽  
Vol 13 (3) ◽  
Author(s):  
Jacob Beal ◽  
Robert Sidney Cox ◽  
Raik Grünberg ◽  
James McLaughlin ◽  
Tramy Nguyen ◽  
...  

SummarySynthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems would be to improve the exchange of information about designed systems between laboratories. The Synthetic Biology Open Language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, filling a need not satisfied by other pre-existing standards. This document details version 2.1 of SBOL that builds upon version 2.0 published in last year’s JIB special issue. In particular, SBOL 2.1 includes improved rules for what constitutes a valid SBOL document, new role fields to simplify the expression of sequence features and how components are used in context, and new best practices descriptions to improve the exchange of basic sequence topology information and the description of genetic design provenance, as well as miscellaneous other minor improvements.


2019 ◽  
Vol 16 (2) ◽  
Author(s):  
Curtis Madsen ◽  
Angel Goñi Moreno ◽  
Umesh P ◽  
Zachary Palchick ◽  
Nicholas Roehner ◽  
...  

AbstractSynthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems is to improve the exchange of information about designed systems between laboratories. The synthetic biology open language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, filling a need not satisfied by other pre-existing standards. This document details version 2.3.0 of SBOL, which builds upon version 2.2.0 published in last year’s JIB Standards in Systems Biology special issue. In particular, SBOL 2.3.0 includes means of succinctly representing sequence modifications, such as insertion, deletion, and replacement, an extension to support organization and attachment of experimental data derived from designs, and an extension for describing numerical parameters of design elements. The new version also includes specifying types of synthetic biology activities, unambiguous locations for sequences with multiple encodings, refinement of a number of validation rules, improved figures and examples, and clarification on a number of issues related to the use of external ontology terms.


2018 ◽  
Vol 15 (1) ◽  
Author(s):  
Robert Sidney Cox ◽  
Curtis Madsen ◽  
James Alastair McLaughlin ◽  
Tramy Nguyen ◽  
Nicholas Roehner ◽  
...  

AbstractSynthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems would be to improve the exchange of information about designed systems between laboratories. The synthetic biology open language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, filling a need not satisfied by other pre-existing standards. This document details version 2.2.0 of SBOL that builds upon version 2.1.0 published in last year’s JIB special issue. In particular, SBOL 2.2.0 includes improved description and validation rules for genetic design provenance, an extension to support combinatorial genetic designs, a new class to add non-SBOL data as attachments, a new class for genetic design implementations, and a description of a methodology to describe the entire design-build-test-learn cycle within the SBOL data model.


2017 ◽  
Vol 241 ◽  
pp. 430-438 ◽  
Author(s):  
Chonglong Wang ◽  
Bakht Zada ◽  
Gongyuan Wei ◽  
Seon-Won Kim

2012 ◽  
Vol 65 ◽  
pp. 82-89 ◽  
Author(s):  
Eric Shiue ◽  
Kristala L.J. Prather

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