Robotics & Machine Learning Daily News2024,Issue(Mar.15) :35-36.

Tsinghua University Reports Findings in Machine Learning (Descriptor-augmented m achine learning for enzyme-chemical interaction predictions)

Robotics & Machine Learning Daily News2024,Issue(Mar.15) :35-36.

Tsinghua University Reports Findings in Machine Learning (Descriptor-augmented m achine learning for enzyme-chemical interaction predictions)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Descriptors play a pi votal role in enzyme design for the greener synthesis of biochemicals, as they c ould characterize enzymes and chemicals from the physicochemical and evolutionar y perspective. This study examined the effects of various descriptors on the per formance of Random Forest model used for enzyme-chemical relationships prediction.”

Key words

Beijing/People’s Republic of China/Asi a/Chemicals/Cyborgs/Emerging Technologies/Enzymes and Coenzymes/Machine Lea rning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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