CascadeMAP autonomously optimized enzyme cascades using microfluidics, machine learning, and agentic AI, processing approximately 295,000 reactions across 7,400 conditions in 7 days.
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CascadeMAP autonomously optimized enzyme cascades using microfluidics, machine learning, and agentic AI, processing approximately 295,000 reactions across 7,400 conditions in 7 days.
Metagenomic enzymes targeting stable bonds in plastics show promise but currently lack sufficient activity for efficient nylon and polyurethane depolymerization.
Liquid n-alkanes can be fully mineralized into carbon dioxide and water through microbial processes, enabling effective bioremediation of petroleum pollution.
Enhancing P450 enzyme components with greater degrees of freedom is key to expanding biocatalytic opportunities in pharmaceutical applications.
Flavin-dependent enzymes demonstrate extensive catalytic promiscuity, enabling non-native transformations through natural and engineered mechanisms across multiple enzyme families.
Enzymatic CO2 fixation pathways can be optimized to convert CO2 into valuable products, with potential for scalable, sustainable biocatalytic applications.
Artificial metalloenzymes can be engineered to function in complex biological environments such as cell lysates, on cell surfaces, and intracellularly, despite challenges.
A conserved RH/QxxR motif enables widespread use of noncanonical redox cofactors in natural enzymes, with Bos taurus ALDH3a1 achieving unprecedented turnover with NMN+.
AI-driven enzyme design achieves highly efficient and safe food enzymes, with advancements enabling the creation of novel biocatalysts and improved stability.
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