Robotics & Machine Learning Daily News2024,Issue(Jun.10) :79-80.

Study Data from Northwest University Update Understanding of Machine Learning (A n In Silico Scheme for Optimizing the Enzymatic Acquisition of Natural Biologica lly Active Peptides Based On Machine Learning and Virtual Digestion)

西北大学的研究数据更新了对机器学习的理解(一种基于机器学习和虚拟消化的优化天然生物活性肽酶促获取的网络方案)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :79-80.

Study Data from Northwest University Update Understanding of Machine Learning (A n In Silico Scheme for Optimizing the Enzymatic Acquisition of Natural Biologica lly Active Peptides Based On Machine Learning and Virtual Digestion)

西北大学的研究数据更新了对机器学习的理解(一种基于机器学习和虚拟消化的优化天然生物活性肽酶促获取的网络方案)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-研究人员详细介绍了机器学习的新数据。据《新闻周刊》记者从中国陕西发回的新闻报道,研究表明:“天然生物活性肽(NBAPs)作为一种潜在的天然活性物质,近年来受到越来越多的关注。传统的蛋白水解方法获得有效的生物活性肽非常令人烦恼,特别是由于可以使用多种蛋白酶,这阻碍了对现有生物活性肽的探索。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Shaanxi, People’s Republic of China, by NewsRx journalists, research stated, “As a potential natural active substanc e, natural biologically active peptides (NBAPs) are recently attracting increasi ng attention. The traditional proteolysis methods of obtaining effective NBAPs a re considerably vexing, especially since multiple proteases can be used, which b locks the exploration of available NBAPs.”

Key words

Shaanxi/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Enzymes and Coenzymes/Machine Learning/Pept ides/Peptides and Proteins/Protease/Proteins/Risk and Prevention/Northwest University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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