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新型口服广谱抗病毒药物——EIDD-2801 被引量:3
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作者 孟晗 于芳 +1 位作者 何宇鹏 李行舟 《临床药物治疗杂志》 2020年第7期12-15,共4页
EIDD-2801是核苷类似物N4-羟基胞苷(NHC)的异丙酯前体药物,对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)、中东呼吸综合征冠状病毒(MERS-CoV)、严重急性呼吸综合征病毒(SARS-CoV)以及A型流感病毒等具有广谱抗病毒活性。在体外模型中,NHC... EIDD-2801是核苷类似物N4-羟基胞苷(NHC)的异丙酯前体药物,对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)、中东呼吸综合征冠状病毒(MERS-CoV)、严重急性呼吸综合征病毒(SARS-CoV)以及A型流感病毒等具有广谱抗病毒活性。在体外模型中,NHC能够有效抑制MERS-CoV、SARS-CoV和SARS-CoV-2(包括瑞德西韦耐药株)复制,对委内瑞拉马脑炎病毒和鼠肝炎病毒等也有显著的抑制作用;无明显的细胞毒性;食蟹猕猴中口服生物利用度较差。EIDD-2801旨在改善NHC体内药代动力学以及人类和非人类灵长类动物的口服生物利用度。EIDD-2801在体内被水解为NHC,进入宿主细胞后代谢为具有药理活性的NHC5’-三磷酸形式。在H1N1流感病毒感染雪貂的动物模型中,EIDD-2801口服给药,在7 mg/kg剂量下,可将流感病毒载量降低数个数量级,并可减轻发热、呼吸道上皮组织病变和炎症。目前EIDD-2801已经进入临床研究阶段,是一个有前途的治疗SARS-CoV-2的药物。本文就EIDD-2801的基本信息,作用机制,药代动力学,临床前研究以及临床试验等作一概述。 展开更多
关键词 eidd-2801 N4-羟基胞苷 口服给药 抗病毒活性
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Preparing anti-SARS-CoV-2 agent EIDD-2801by a practical and scalable approach,and quick evaluation via machine learning
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作者 Zhen Qin Bin Dong +5 位作者 Renbing Wang Dechun Huang Jubo Wang Xi Feng Jinlei Bian Zhiyu Li 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2021年第11期3678-3682,共5页
EIDD-2801 is an orally bioavailable prodrug,which will be applied for emergency use authorization from the U.S.Food and Drug Administration for the treatment of COVID-19.To investigate the optimal parameters,EIDD-2801... EIDD-2801 is an orally bioavailable prodrug,which will be applied for emergency use authorization from the U.S.Food and Drug Administration for the treatment of COVID-19.To investigate the optimal parameters,EIDD-2801 was optimized via a four-step synthesis with high purity of 99.9%.The hydroxylamination procedure was telescoped in a one-pot and the final step was precisely controlled on reagents,temperature and reaction time.Compared to the original route,the yield of the new route was enhanced from 17% to 58% without column chromatography.The optimized synthesis has been successfully determinated on a decagram scale:the first step at 200 g and the final step at 20 g.Besides,the relationship between yield and temperature,time,and reagents in the deprotection step was investigated via Shapley value explanation and machine learning approach-decision tree method.The results revealed that reagents have the greatest impact on yield estimation,followed by the temperature. 展开更多
关键词 eidd-2801 SARS-CoV-2 Antiviral drug Decision tree Shapley value
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