Robotics & Machine Learning Daily News2024,Issue(Dec.3) :122-122.

New Machine Learning Findings from Beijing University of Chemical Technology Rep orted (Machine Learning Meets Enzyme Engineering: Examples In the Design of Poly ethylene Terephthalate Hydrolases)

北京化工大学的机器学习新发现(机器学习与酶工程相结合:聚对苯二甲酸乙二醇酯水解酶设计实例)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :122-122.

New Machine Learning Findings from Beijing University of Chemical Technology Rep orted (Machine Learning Meets Enzyme Engineering: Examples In the Design of Poly ethylene Terephthalate Hydrolases)

北京化工大学的机器学习新发现(机器学习与酶工程相结合:聚对苯二甲酸乙二醇酯水解酶设计实例)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可用。根据新闻报道中华人民共和国北京,NewsRx编辑,研究称,“使用机器的趋势”为了开发有前途的生物催化剂,学习方法越来越多。利用实验研究结果和仿真数据表明,这些方法有利于酶发动机的设计,甚至有利于新型调色剂的设计酶。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting out ofBeijing, People’s Republic of Chi na, by NewsRx editors, research stated, “The trend of employing machinelearning methods has been increasing to develop promising biocatalysts. Leveraging the e xperimentalfindings and simulation data, these methods facilitate enzyme engine ering and even the design of new-tonatureenzymes.”

Key words

Beijing/People’s Republic of China/Asi a/Alkenes/Cyborgs/Emerging Technologies/Engineering/Enzymes and Coenzymes/Hydrocarbons/Hydrolases/Machine Learning/Organic Chemicals/Polyenes/Polyeth ylenes/Beijing University of Chemical Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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