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AI Develops Multi-Step Enzyme Capable of Breaking Down Certain Plastics

Photo credit: arstechnica.com

Advancements in Enzyme Design Yield Promising Results

Recent innovations in enzymatic research have led to significant breakthroughs, particularly through the integration of computer modeling and screening techniques. A notable study utilized a novel approach that incorporated a PLACER screening step, which dramatically increased the identification of enzymes exhibiting catalytic activity, seeing a boost of over three times.

However, initial findings revealed a challenge: the enzymes, while efficient at cleaving ester bonds, participated in the reaction rather than acting as true catalysts. This meant they were unable to facilitate multiple reactions sequentially. To address this, researchers employed PLACER to search for structural configurations capable of achieving a critical intermediate state in the reaction process. This adjustment yielded a more promising outcome, with about 18 percent of the tested enzymes successfully cleaving the ester bond. Notably, two of these enzymes, dubbed “super” and “win,” demonstrated the ability to undergo several rounds of reactions, marking a significant milestone in enzyme development.

Further optimization involved alternating rounds of structure suggestions via RFDiffusion alongside PLACER screening. This iterative approach not only increased the occurrence of functional enzymes but also led to the design of an enzyme with catalytic abilities comparable to those found in biological systems. Remarkably, the team was able to engineer an esterase specifically targeting the bonds in PET, a widely used plastic, showcasing the potential for solving environmental concerns through enzyme technology.

While the process of designing enzymes is notably intricate, the shift towards computational methods alleviates some of the logistical burdens associated with traditional approaches, such as synthesizing DNA and culturing bacteria for enzyme production. Interestingly, the newly engineered enzymes displayed minimal sequence similarity to their naturally occurring counterparts, suggesting that the potential exists for greater versatility in designing enzymes for unconventional substrates.

Looking ahead, the implications of this research could extend into synthetic biology. One thought-provoking consideration is the prospect of introducing engineered enzymes, essential for bacterial survival, into live microbial populations and allowing them to evolve. It raises an intriguing possibility that natural evolutionary processes might enhance even the most sophisticated enzyme designs crafted through human ingenuity.

For further details, refer to the study published in Science in 2024. DOI: 10.1126/science.adu2454.

Source
arstechnica.com

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