The Long View: Policy Directions in Australia to Support the Industrial Biotechnology Sector

2017 ◽  
Vol 13 (2) ◽  
pp. 72-75
Author(s):  
Dianne Glenn
2005 ◽  
Vol 09 (18) ◽  
pp. 924-929
Author(s):  
Kiran Mazumdar-Shaw

The article written by a very experienced veteran in the biotechnology sector, Dr Mazumdar Shaw describes India's biopharma sector and also shows a sectoral roadmap. It touches on agriculture and food biotechnology, industrial biotechnology, diagnostic biotechnology, regenerative medicine, therapeutic biotechnology, pharmaocogenomics, nanotechnology and bioinformatics.


2015 ◽  
Vol 19 (04) ◽  
pp. 1550031 ◽  
Author(s):  
GUNTER FESTEL

Industrial biotechnology is the application of biotechnology for the environment friendly production and processing of chemicals, pharmaceuticals, materials, and bioenergy. The commercial development is mainly driven by multinational enterprises (MNEs), whereas small and medium enterprises (SMEs) contribute primarily to the technological development. The challenge is that generally a technology transfer gap exists between basic research and development (R&D) at universities or research institutions and the commercialisation of the results by established companies. Based on the analysis of 17 case studies from the industrial biotechnology sector, this paper investigates the technology transfer role of spin-offs from universities and research institutions to close the technology transfer gap. Different technology transfer models have been used between established companies and spin-offs after further developing the technology following the spin-off process. Whereas MNEs are very active in making new technologies available both by acquiring spin-offs or engaging them as service providers, SMEs, due to limited financial resources, are more focused on research cooperations with spin-offs, especially by engaging them as service providers.


Author(s):  
Katherine Connor Linton ◽  
Jeremy Wise ◽  
Philip Stone

2020 ◽  
Vol 17 (1) ◽  
pp. 40-50
Author(s):  
Farzane Kargar ◽  
Amir Savardashtaki ◽  
Mojtaba Mortazavi ◽  
Masoud Torkzadeh Mahani ◽  
Ali Mohammad Amani ◽  
...  

Background: The 1,4-alpha-glucan branching protein (GlgB) plays an important role in the glycogen biosynthesis and the deficiency in this enzyme has resulted in Glycogen storage disease and accumulation of an amylopectin-like polysaccharide. Consequently, this enzyme was considered a special topic in clinical and biotechnological research. One of the newly introduced GlgB belongs to the Neisseria sp. HMSC071A01 (Ref.Seq. WP_049335546). For in silico analysis, the 3D molecular modeling of this enzyme was conducted in the I-TASSER web server. Methods: For a better evaluation, the important characteristics of this enzyme such as functional properties, metabolic pathway and activity were investigated in the TargetP software. Additionally, the phylogenetic tree and secondary structure of this enzyme were studied by Mafft and Prabi software, respectively. Finally, the binding site properties (the maltoheptaose as substrate) were studied using the AutoDock Vina. Results: By drawing the phylogenetic tree, the closest species were the taxonomic group of Betaproteobacteria. The results showed that the structure of this enzyme had 34.45% of the alpha helix and 45.45% of the random coil. Our analysis predicted that this enzyme has a potential signal peptide in the protein sequence. Conclusion: By these analyses, a new understanding was developed related to the sequence and structure of this enzyme. Our findings can further be used in some fields of clinical and industrial biotechnology.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Philipp Noll ◽  
Chantal Treinen ◽  
Sven Müller ◽  
Lars Lilge ◽  
Rudolf Hausmann ◽  
...  

AbstractA key challenge to advance the efficiency of bioprocesses is the uncoupling of biomass from product formation, as biomass represents a by-product that is in most cases difficult to recycle efficiently. Using the example of rhamnolipid biosurfactants, a temperature-sensitive heterologous production system under translation control of a fourU RNA thermometer from Salmonella was established to allow separating phases of preferred growth from product formation. Rhamnolipids as bulk chemicals represent a model system for future processes of industrial biotechnology and are therefore tied to the efficiency requirements in competition with the chemical industry. Experimental data confirms function of the RNA thermometer and suggests a major effect of temperature on specific rhamnolipid production rates with an increase of the average production rate by a factor of 11 between 25 and 38 °C, while the major part of this increase is attributable to the regulatory effect of the RNA thermometer rather than an unspecific overall increase in bacterial metabolism. The production capacity of the developed temperature sensitive-system was evaluated in a simple batch process driven by a temperature switch. Product formation was evaluated by efficiency parameters and yields, confirming increased product formation rates and product-per-biomass yields compared to a high titer heterologous rhamnolipid production process from literature.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Omid Oftadeh ◽  
Pierre Salvy ◽  
Maria Masid ◽  
Maxime Curvat ◽  
Ljubisa Miskovic ◽  
...  

AbstractEukaryotic organisms play an important role in industrial biotechnology, from the production of fuels and commodity chemicals to therapeutic proteins. To optimize these industrial systems, a mathematical approach can be used to integrate the description of multiple biological networks into a single model for cell analysis and engineering. One of the most accurate models of biological systems include Expression and Thermodynamics FLux (ETFL), which efficiently integrates RNA and protein synthesis with traditional genome-scale metabolic models. However, ETFL is so far only applicable for E. coli. To adapt this model for Saccharomyces cerevisiae, we developed yETFL, in which we augmented the original formulation with additional considerations for biomass composition, the compartmentalized cellular expression system, and the energetic costs of biological processes. We demonstrated the ability of yETFL to predict maximum growth rate, essential genes, and the phenotype of overflow metabolism. We envision that the presented formulation can be extended to a wide range of eukaryotic organisms to the benefit of academic and industrial research.


2021 ◽  
pp. 597-606
Author(s):  
Sonja Meyer zu Berstenhorst ◽  
Karl-Erich Jaeger ◽  
Jörg Pietruszka

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