Robotics & Machine Learning Daily News2024,Issue(Dec.4) :112-113.

University of Cambridge Reports Findings in COVID-19 (Revealing SARS-CoV-2 Mpro mutation cold and hot spots: Dynamic residue network analysis meets machine lear ning)

剑桥大学报告了COVID-19的发现(揭示sars-cov-2 Mpro突变的冷和热点:动态残留网络分析满足机器学习)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :112-113.

University of Cambridge Reports Findings in COVID-19 (Revealing SARS-CoV-2 Mpro mutation cold and hot spots: Dynamic residue network analysis meets machine lear ning)

剑桥大学报告了COVID-19的发现(揭示sars-cov-2 Mpro突变的冷和热点:动态残留网络分析满足机器学习)

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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-冠状病毒的新研究-COVID-19是一篇报道的主题。据新闻报道源于联合王国剑桥,由NewsRx记者报道,研究称,“破译”病毒进化突变的影响和预测未来突变是设计持久病毒的关键以及有效的药物。同时了解当前突变对蛋白质药物靶点的影响预测由于病毒的自然进化和环境压力而发生的突变是可行的仍然是Chall Enging。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to newsoriginating from Cambridge, Unite d Kingdom, by NewsRx correspondents, research stated, “Decipheringthe effect of evolutionary mutations of viruses and predicting future mutations is crucial fo r designing longlastingand effective drugs. While understanding the impact of current mutations on protein drug targetsis feasible, predicting future mutatio ns due to natural evolution of viruses and environmental pressuresremains chall enging.”

Key words

Cambridge/United Kingdom/Europe/COVID -19/Coronavirus/Cyborgs/Emerging Technologies/Genetics/Machine Learning/RN A Viruses/SARS-CoV-2/Severe Acute Respiratory Syndrome Coronavirus 2/Viral/V irology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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