Strain Pathway Optimization

Synthetic biology is a rapidly growing field that has revolutionized the way we think about the production of biological compounds. One of the key challenges in synthetic biology is the optimization of metabolic pathways in strains to produce high-value compounds. Metabolic pathway optimization involves the design, engineering, and optimization of the enzymatic and regulatory processes that control the production of specific compounds in microbial cells. However, the complexity of cellular metabolism and the limited understanding of the underlying mechanisms make the optimization of metabolic pathways a tedious and time-consuming process. Therefore, new approaches are required to accelerate the pathway optimization process and improve the efficiency and accuracy of the metabolic engineering process.

CD Biosynsis is committed to providing our clients with cutting-edge services based on the latest advances in synthetic biology and machine learning for metabolic pathway optimization to accelerate the development of biotechnological production processes.

Figure 1: Graphical abstract of modular metabolic engineering for pathway and strain optimization. (Biggs, B. W., Paepe, B. D. et al. 2014)

Our Services for Pathway Optimization

Our services for metabolic pathway optimization are designed to provide our clients with a comprehensive solution for the design, engineering, and optimization of metabolic pathways in microbial cell factories.

We use genome-scale metabolic models (GEMs) to predict the metabolic behavior of microbial cells under different conditions. GEMs are mathematical representations of the cellular metabolism that can be used to predict the metabolic fluxes and the production of specific compounds. At CD Biosynsis, we use GEMs to identify target genes and metabolic pathways for optimization.

We use a range of computational and experimental approaches to optimize multistep metabolic pathways. Our approach involves

--the identification of rate-limiting steps,

--the optimization of enzyme expression levels,

--the engineering of regulatory elements

to improve pathway efficiency.

We use directed evolution and rational design to engineer rate-limiting enzymes in metabolic pathways. Our approach involves the construction of high-throughput screening systems to identify enzyme variants with improved activity and specificity.

We use synthetic biology approaches to engineer gene regulatory elements to control the expression of target genes in metabolic pathways. Our approach involves the design and construction of

--synthetic promoters,

--riboswitches,

--other regulatory elements,

to improve pathway efficiency.

Our Advantages

Our team of experts has extensive experience in synthetic biology and metabolic engineering.

Our services are based on an integrated approach that combines computational and experimental approaches to optimize metabolic pathways.

We use state-of-the-art technologies, including machine learning and high-throughput screening, to accelerate the pathway optimization process and improve the efficiency and accuracy of the metabolic engineering process.

We provide customized solutions for our clients, tailored to their specific needs and requirements.

Conclusion

Metabolic pathway optimization is an essential tool in the development of microbial cell factories for the production of high-value compounds. CD Biosynsis is committed to providing clients with cutting-edge services for metabolic pathway optimization to accelerate the development of biotechnological production processes. Contact us if you have any problem with pathway optimization research.

References

1. Menni, C., Mccallum, L., et al. Metabolomic profiling identifies novel associations with electrolyte and acid-base homeostatic patterns. Scientific Reports, 9(1). (2019).
2. Biggs, B. W., Paepe, B. D., et al. Multivariate modular metabolic engineering for pathway and strain optimization. Current Opinion in Biotechnology, 29C (1), 156-162 (2014).
3. Markus, J., Daniel, G., et al. Combinatorial pathway optimization for streamlined metabolic engineering. Current Opinion in Biotechnology, 47, 142-151 (2017).
4. Torres, N., Voit, E. Pathway Analysis and Optimization in Metabolic Engineering. Cambridge: Cambridge University Press. (2002) doi:10.1017/CBO9780511546334
5. Garcia-Ruiz, E., HamediRad, M., et al. Pathway Design, Engineering, and Optimization. In: Zhao, H., Zeng, AP. (eds) Synthetic Biology – Metabolic Engineering. Advances in Biochemical Engineering/Biotechnology, vol 162. Springer, Cham. (2016). https://doi.org/10.1007/10_2016_12

Please note that all services are for research use only. Not intended for any clinical use.