Reconstitution and optimization of complex plant natural product biosynthetic pathways in microbial expression systems

J Gao, Y Gou, L Huang, J Lian - Current Opinion in Biotechnology, 2024 - Elsevier
Highlights•Microbial expression systems for sustainable production of plant natural
products.•Multiplex genome editing for rapid construction of complex PNP biosynthetic …

Machine learning framework for wastewater circular economy—Towards smarter nutrient recoveries

A Soo, L Gao, HK Shon - Desalination, 2024 - Elsevier
As the world's supply chains become disrupted through geopolitical instability and the race
towards a net-zero future, policies have been implemented to improve the security of certain …

Machine learning: an advancement in biochemical engineering

R Saha, A Chauhan, S Rastogi Verma - Biotechnology Letters, 2024 - Springer
One of the most remarkable techniques recently introduced into the field of bioprocess
engineering is machine learning. Bioprocess engineering has drawn much attention due to …

The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?

A Crouzet, N Lopez, B Riss Yaw, Y Lepelletier… - Molecules, 2024 - mdpi.com
The journey of drug discovery (DD) has evolved from ancient practices to modern
technology-driven approaches, with Artificial Intelligence (AI) emerging as a pivotal force in …

[HTML][HTML] A data-driven approach for cell culture medium optimization

Y Ozawa, T Hashizume, BW Ying - Biochemical Engineering Journal, 2025 - Elsevier
Cell culture media are critical for cell propagation and bioproduction to be as efficient as
possible to meet medical and pharmaceutical requirements. However, optimizing medium …

[HTML][HTML] Biosynthesis of Edible Terpenoids: Hosts and Applications

M Wang, Z Zhang, X Liu, Z Liu, R Liu - Foods, 2025 - mdpi.com
Microbial foods include microbial biomass, naturally fermented foods, and heterologously
synthesized food ingredients derived from microbial fermentation. Terpenoids, using …

[PDF][PDF] Hybrid quorum sensing and machine learning systems for adaptive synthetic biology: Toward autonomous gene regulation and precision therapies

DA Tuan, PVN Uyen, J Masak - 2024 - preprints.org
Quorum Sensing (QS) and Machine Learning (ML) hybrid systems represent a
groundbreaking innovation in synthetic biology, offering unprecedented control and …

Yeast-MetaTwin for Systematically Exploring Yeast Metabolism through Retrobiosynthesis and Deep Learning

K Wu, H Liu, M Sun, R Mao, Y Jiang, EJ Kerkhoven… - bioRxiv, 2024 - biorxiv.org
Underground metabolism plays a crucial role in understanding enzyme promiscuity, cellular
metabolism, and biological evolution, yet experimental exploration of underground …

Cascade Catalytic Systems for Converting CO2 into C2+ Products

Q Shi, B Zhang, Z Wu, D Yang, H Wu, J Shi, Z Jiang - ChemSusChem - Wiley Online Library
The excessive emission and continuous accumulation of CO2 have precipitated serious
social and environmental issues. However, CO2 can also serve as an abundant …