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In breakthrough, scientists successfully identify drug targets for pan-coronavirus treatment

In breakthrough, scientists successfully identify drug targets for pan-coronavirus treatment Scientists have identified the most highly conserved drug-binding pockets in viral proteins from Covid-19 patient samples and from other coronaviruses, revealing the most promising targets for pan-coronavirus drugs. advertisement UPDATED: July 27, 2021 06:11 IST The study analysed viral proteins across 27 coronavirus species and thousands of samples from Covid-19 patients. (Image used for representation) Scientists have identified the most highly conserved drug-binding pockets in viral proteins from Covid-19 patient samples and from other coronaviruses, revealing the most promising targets for pan-coronavirus drugs. The researchers from the University of Toronto in Canada noted that safe and effective vaccines offer hope for an end to the Covid-19 pandemic.

Scientists Identify Drug Targets For Pan-Coronavirus Treatment

Scientists Identify Drug Targets For Pan-Coronavirus Treatment
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施一公高度评价蛋白结构预测突破 西湖大学全面布局AI生命科学 _ 东方财富网

  AI对人类蛋白结构的预测能力近日又取得了突破性进展。谷歌旗下人工智能公司DeepMind于7月22日在《自然》杂志上发表论文称,其人工智能系统AlphaFold2已经能够预测人类98.5%的蛋白结构。   这些数据集将被完全免费开源,以支持全球科研人员在生命科学领域的研究。用DeepMind创始人哈撒比斯的话来说,他们希望“把Al的力量交到全世界手中”。   科学家将这一颠覆性突破成果的意义与人类基因组计划相提并论。上世纪90年代,人类基因组计划开始成形时,科学家意识到光掌握基因的碱基排列是不够的,还必须了解基因的产物蛋白质。   中国科学院院士、结构生物学家、西湖大学校长施一公认为,AlphaFold对蛋白结构的精准预测,是人工智能对科学领域最大的一次贡献,也是人类在 21 世纪取得的最重要的科学突破之一。   施一公告诉�

施一公高度评价蛋白结构预测突破 西湖大学全面布局AI生命科学

施一公高度评价蛋白结构预测突破 西湖大学全面布局AI生命科学
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