Robotics & Machine Learning Daily News2024,Issue(Jan.22) :37-37.

Researchers from Jiangnan University Describe Findings in Machine Learning (Deepppthermo: a Deep Learning Framework for Predicting Protein Thermostability Combining Protein-level and Amino Acid-level Features)

Robotics & Machine Learning Daily News2024,Issue(Jan.22) :37-37.

Researchers from Jiangnan University Describe Findings in Machine Learning (Deepppthermo: a Deep Learning Framework for Predicting Protein Thermostability Combining Protein-level and Amino Acid-level Features)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news originatingfrom Wuxi, People’s Republic of China, by NewsRx correspondents, research stated, “Using wet experimentalmethods to discover new thermophilic proteins or improve protein thermostability is time-consumingand expensive. Machine learning methods have shown powerful performance in the study of protein thermostabilityin recent years.”

Key words

Wuxi/People’s Republic of China/Asia/Amino Acids/Cyborgs/Emerging Technologies/Machine Learning/Peptides/Proteins/Jiangnan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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