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Published on: March 9, 2017
Pathway engineering for sustainable biomanufacturing: integrating AI, systems biology, enzyme engineering, and
1Center for Sustainable Resource Science, RIKEN, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.
Current Opinion in Biotechnology
|July 15, 2026
Summary
Sustainable biomanufacturing uses microbial cell factories for renewable production. Advances in pathway engineering, AI, and automation create a predictive framework for developing robust microbial production systems.
Area of Science:
- Biotechnology and metabolic engineering
- Synthetic biology applications
- Sustainable biomanufacturing and bioeconomies
Background:
- Microbial cell factories are central to sustainable biomanufacturing, replacing fossil fuels with renewable bioeconomies.
- Traditional pathway engineering was empirical, limiting efficiency and predictability.
- There is a growing need for advanced, integrated approaches to optimize microbial production systems.
Purpose of the Study:
- To review recent advances transforming microbial pathway engineering into a predictive discipline.
- To highlight the integration of artificial intelligence, enzyme engineering, and dynamic regulation.
- To present a multiscale framework for accelerating the development of microbial production systems.
Main Methods:
- Artificial intelligence-assisted retrosynthesis for biosynthetic route design.
- Genome-scale metabolic models and host-aware simulations for pathway evaluation.
- Machine learning, high-throughput screening, and cell-free platforms for enzyme engineering.
- Dynamic regulation using biosensor-based feedback systems.
- Automation and design-build-test-learn workflows.
Main Results:
- Pathway engineering has evolved from empirical to a predictive and integrated discipline.
- AI expands route design, while metabolic models and simulations optimize pathways under cellular constraints.
- Enzyme engineering is increasingly integrated with pathway design.
- Dynamic regulation and automation accelerate the development of microbial production systems.
Conclusions:
- Recent advances establish a multiscale framework for microbial biomanufacturing.
- The integration of AI, advanced modeling, and automation significantly accelerates the development of robust microbial production systems.
- This integrated approach is key to advancing sustainable bioeconomies through efficient bioproduction.
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