This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: Many have voiced concerns that artificial intelligence will take jobs away from humans. But assistant professor of chemistry Zhongyue (John) Yang, along with his former doctoral student Qianzhen Shao (now a postdoc at Stanford) and other team members, has created an AI tool that aims to elevate the work that scientists do—not replace them.
MutexaGPT can speed up the "customization" of enzymes that drive countless chemical reactions essential to our daily lives. Engineered enzymes synthesize new medications, preserve nutrient-rich foods and help recycle polymers to reduce plastic waste. MutexaGPT takes plain-English, intuition-driven requests as input and leverages large language model agents to elicit missing information, build physics-based models and convert the results into actionable design proposals.
The study is published in Nature Computational Science. "I know there are increasing concerns about AI replacing humans in the workforce, and I share them," Yang said. "However, with MutexaGPT, we are not using AI to get things done more efficiently without people.
We are showing that with AI you can translate human intuition, which is often imaginative and incredible, to create a workable plan." He noted that enzymes, which are specialized proteins that speed up chemical reactions, can be viewed as nature's catalysts. Each enzyme consists of hundreds of amino acids, and changing even a single amino acid, which is called a mutation, can lead to substantial change in its function. "Now comes the major challenge, as no one knows how to predict mutations that alter genetic code without relying heavily on trial and error in industry," Yang said.
"For the enzyme engineering market, which yields hundreds of billions of dollars in revenue each year, this simply means large amounts of super expensive testing and resource costs. MutexaGPT aims to change this paradigm by enabling researchers to use natural language to explore, predict and design enzyme mutations, drawing on artificial intelligence and fundamental principles of chemistry and physics." Among the tasks MutexaGPT can assist with is cold-active enzyme technology—engineering enzymes into versions that maintain high catalytic competence at lower temperatures. This is vital for cold-temperature processes like lactose-free milk and food preservation that ensures retention of heat-sensitive nutrients.
Another practical application is the manufacture of laundry detergents that break down complex stains without the need for hot water. Similarly, designing enzymes with greater catalytic efficiency and selectivity makes pharmaceutical manufacturing more sustainable by reducing energy consumption, chemical waste and reliance on harsh reaction conditions. As for the name of this tool, Mutexa is short for "Alexa for Mutant." Yang said, "The name reflects our original vision of creating an Amazon Alexa–like intelligent assistant for designing enzyme mutants.
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