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中国台湾科学家发现一种抗新冠病毒老药，比瑞德西韦强10倍

2021-02-24 MedSci原创 MedSci原创

新冠病毒
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中国台湾阳明交通大学采用AI算出#新冠肺炎#解药！

中国台湾阳明交通大学采用AI算出#新冠肺炎#解药！ 通过AI技术发现4款潜力老药，能够抑制新冠病毒活性，分别是巴色匹韦（Boceprevir）、特拉匹韦（Telaprevir）、奈非那韦（Nelfinavir）以及其中一种抗发炎旧药（JMY206）。部分成果已发表于国际顶尖期刊《美国化学学会月刊：纳米》（ACS Nano），目前细胞及动物实验显示其中一款药效比先前瑞德西韦强数十倍，为治疗新冠肺炎带来一线曙光。 JMY206-比瑞德西韦强10倍以上，后者是首个经过完全认证可用于治疗COVID-19病人的抗病毒药物，研究成果来自国立阳明交通大学生物科学与技术学院（NYCU）杨金文院长领导研究团队。JMY 206的治疗作用也已在动物实验中得到证明，它可能是对抗COVID-19的潜在口服药物。   原始出处： Uncovering Flexible Active Site Conformations of SARS-CoV-2 3CL Proteases through Protease Pharmacophore Clusters and COVID-19 Drug Repurpo

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    2022-05-12 杰夫谈

    做完双盲实验再说吧

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=1219027, encodeId=e407121902ee5, content=做完双盲实验再说吧, beContent=null, objectType=article, channel=null, level=null, likeNumber=71, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220404/da41fbf85ff14bf48dc25c8ed6f54958/c6adb3f74d514c41a344d8d28c694117.jpg, createdBy=5ca42405846, createdName=杰夫谈, createdTime=Thu May 12 12:20:56 CST 2022, time=2022-05-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1802672, encodeId=f3c218026e2f0, content=<a href='/topic/show?id=acfae485578' target=_blank style='color:#2F92EE;'>#科学家发现#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=77, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74855, encryptionId=acfae485578, topicName=科学家发现)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=e572480, createdName=旅苦化文_208, createdTime=Sun Aug 29 02:32:34 CST 2021, time=2021-08-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=945921, encodeId=1cb794592156, content=优秀, beContent=null, objectType=article, channel=null, level=null, likeNumber=108, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20200801/19f50cb64c18415eaa3f0911d2873c50/7ab97989a34747339c05d63b82d6663d.jpg, createdBy=efbb4899905, createdName=474576351, createdTime=Sat Mar 06 11:11:07 CST 2021, time=2021-03-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=943914, encodeId=5ed3943914fd, content=这么nb 药物组学和AI一结合 简直就是旧药大洗牌, beContent=null, objectType=article, channel=null, level=null, likeNumber=150, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210226/f23705539a22465dad49b185641246f4/269e005bb68348558ceb01a4a8056073.jpg, createdBy=a54d5390453, createdName=T2DM终结者, createdTime=Sat Feb 27 11:53:05 CST 2021, time=2021-02-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1029160, encodeId=d2ee1029160a0, content=新冠肺炎，疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=74, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Wed Feb 24 20:32:34 CST 2021, time=2021-02-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=926914, encodeId=c0cb926914ef, content=优秀的人, beContent=null, objectType=article, channel=null, level=null, likeNumber=258, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=fc475462808, createdName=ms5000001255976811, createdTime=Wed Feb 24 17:56:52 CST 2021, time=2021-02-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=926911, encodeId=6950926911b5, content=来自台湾大学研究团队针对加快新冠的潜在药物的研究开发了SARS-CoV-2的药物数据库DockCoV2，以预测台湾地区食品药品监督管理局和台湾地区国民健康保险批准的3109种清单药物与新冠病毒有关的5种蛋白质（刺突蛋白、3C样蛋白酶（3CLpro）、RNA依赖性RNA聚合酶（RdRp）、木瓜蛋白酶（PLpro）、核衣壳（N ）蛋白和2种宿主蛋白血管紧张素转换酶II（ACE2）和跨膜丝氨酸蛋白酶II（TMPRSS2））的结合亲和力。该研究结果发表在《核酸研究》（Nucleic Acids Research）杂志上。, beContent=null, objectType=article, channel=null, level=null, likeNumber=219, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20200529/3611e9bb629c4e5b81fbd8ce784b06cc/128487eae357460bb98f67d86230c218.jpg, createdBy=ab235268530, createdName=神盾医疗局局长Jack, createdTime=Wed Feb 24 17:39:21 CST 2021, time=2021-02-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=926909, encodeId=d5f892690902, content=厉害！, beContent=null, objectType=article, channel=null, level=null, likeNumber=200, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=健康达人, createdTime=Wed Feb 24 17:34:05 CST 2021, time=2021-02-24, status=1, ipAttribution=)]
    2021-08-29 旅苦化文_208

    #科学家发现#

    0

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    2021-03-06 474576351

    优秀

    0

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    2021-02-27 T2DM终结者

    这么nb 药物组学和AI一结合 简直就是旧药大洗牌

    0

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    2021-02-24 公卫新人

    新冠肺炎，疫情何时才能消失

    0

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    2021-02-24 ms5000001255976811

    优秀的人

    0

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    2021-02-24 神盾医疗局局长Jack

    来自台湾大学研究团队针对加快新冠的潜在药物的研究开发了SARS-CoV-2的药物数据库DockCoV2，以预测台湾地区食品药品监督管理局和台湾地区国民健康保险批准的3109种清单药物与新冠病毒有关的5种蛋白质（刺突蛋白、3C样蛋白酶（3CLpro）、RNA依赖性RNA聚合酶（RdRp）、木瓜蛋白酶（PLpro）、核衣壳（N ）蛋白和2种宿主蛋白血管紧张素转换酶II（ACE2）和跨膜丝氨酸蛋白酶II（TMPRSS2））的结合亲和力。该研究结果发表在《核酸研究》（Nucleic Acids Research）杂志上。

    0

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    2021-02-24 健康达人

    厉害！

    0

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