Robotics & Machine Learning Daily News2024,Issue(Aug.19) :157-157.

Accelerated enzyme engineering by machine-learning guided cellfree expression

Robotics & Machine Learning Daily News2024,Issue(Aug.19) :157-157.

Accelerated enzyme engineering by machine-learning guided cellfree expression

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org:“Enzyme engineering is limited by the challenge of rapidly generating and using large datasets ofsequence-function relationships for predictive design.“To address this challenge, we developed a machine learning (ML)-guided platform that integratescell-free DNA assembly, cell-free gene expression, and function al assays to rapidly map fitness landscapesacross protein sequence space and op timize enzymes for multiple, distinct chemical reactions.

Key words

Biotechnology/Biotechnology - Synthetic Biology/Cyborgs/Emerging Technologies/Engineering/Enzymes and Coenzymes/Ma chine Learning/Synthetic Biology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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