Robotics & Machine Learning Daily News2024,Issue(Apr.22) :73-73.

Investigators at Huazhong University of Science and Technology Detail Findings i n Machine Learning (Prediction of Order Parameters Based On Protein Nmr Structur e Ensemble and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.22) :73-73.

Investigators at Huazhong University of Science and Technology Detail Findings i n Machine Learning (Prediction of Order Parameters Based On Protein Nmr Structur e Ensemble and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Wuhan, People’s Repu blic of China, by NewsRx correspondents, research stated, “Thefast motions of p roteins at the picosecond to nanosecond timescale, known as fast dynamics, are c loselyrelated to protein conformational entropy and rearrangement, which in tur n affect catalysis, ligand bindingand protein allosteric effects. The most used NMR approach to study fast protein dynamics is the modelfree method, which use s order parameter S2 to describe the amplitude of the internal motion of local group.”

Key words

Wuhan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Huazhong University of Scienc e and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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