scholarly journals Systems Biology as an Integrated Platform for Bioinformatics, Systems Synthetic Biology, and Systems Metabolic Engineering

Cells ◽  
2013 ◽  
Vol 2 (4) ◽  
pp. 635-688 ◽  
Author(s):  
Bor-Sen Chen ◽  
Chia-Chou Wu
Keyword(s):  
Metabolic Engineering ◽  
Systems Biology ◽  
Synthetic Biology ◽  
Integrated Platform ◽  
Systems Metabolic Engineering

Systems Metabolic Engineering Strategies: Integrating Systems and Synthetic Biology with Metabolic Engineering

2019 ◽  
Vol 37 (8) ◽  
pp. 817-837 ◽  
Author(s):  
Kyeong Rok Choi ◽  
Woo Dae Jang ◽  
Dongsoo Yang ◽  
Jae Sung Cho ◽  
Dahyeon Park ◽  
...  
Keyword(s):  
Metabolic Engineering ◽  
Synthetic Biology ◽  
Systems Metabolic Engineering

scholarly journals Omics-Driven Biotechnology for Industrial Applications

2021 ◽  
Vol 9 ◽  
Author(s):  
Bashar Amer ◽  
Edward E. K. Baidoo
Keyword(s):  
Metabolic Engineering ◽  
Systems Biology ◽  
Synthetic Biology ◽  
Metabolic Networks ◽  
Industrial Applications ◽  
Omics Technologies ◽  
Food Biotechnology ◽  
Food And Agriculture ◽  
Pros And Cons ◽  
The Impact

Biomanufacturing is a key component of biotechnology that uses biological systems to produce bioproducts of commercial relevance, which are of great interest to the energy, material, pharmaceutical, food, and agriculture industries. Biotechnology-based approaches, such as synthetic biology and metabolic engineering are heavily reliant on “omics” driven systems biology to characterize and understand metabolic networks. Knowledge gained from systems biology experiments aid the development of synthetic biology tools and the advancement of metabolic engineering studies toward establishing robust industrial biomanufacturing platforms. In this review, we discuss recent advances in “omics” technologies, compare the pros and cons of the different “omics” technologies, and discuss the necessary requirements for carrying out multi-omics experiments. We highlight the influence of “omics” technologies on the production of biofuels and bioproducts by metabolic engineering. Finally, we discuss the application of “omics” technologies to agricultural and food biotechnology, and review the impact of “omics” on current COVID-19 research.

scholarly journals Synthetic Biology Open Language (SBOL) Version 2.3

2019 ◽  
Vol 16 (2) ◽  
Author(s):  
Curtis Madsen ◽  
Angel Goñi Moreno ◽  
Umesh P ◽  
Zachary Palchick ◽  
Nicholas Roehner ◽  
...  
Keyword(s):  
Experimental Data ◽  
Metabolic Engineering ◽  
Systems Biology ◽  
Synthetic Biology ◽  
Molecular Biology ◽  
Special Issue ◽  
Design Elements ◽  
Biological Design ◽  
Support Organization ◽  
Synthetic Biology Open Language

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.

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