首页> Research square> Identification of promising high-affinity inhibitors of SARS-CoV-2 main protease from African Natural Products Databases by Virtual Screening.

Identification of promising high-affinity inhibitors of SARS-CoV-2 main protease from African Natural Products Databases by Virtual Screening.

导出 LinkOut

翻译打印收藏纠错

第一作者： Oudou,Diabate

第一单位： University of Sciences, Technics and Technologies of Bamako (USTTB).

作者： Oudou,Diabate ^[1] ; Cheickna,Cisse ^[1] ; Mamadou,Sangare ^[2] ; Opeyemi,Soremekun ^[2] ; Segun,Fatumo ^[1] ; Jeffrey G,Shaffer ^[3] ; Seydou,Doumbia ^[1] ; Mamadou,Wele ^[1]

作者单位： University of Sciences, Technics and Technologies of Bamako (USTTB). ^[1] The African Computational Genomics (TACG) Research group. ^[2] Tulane University School of Public Health and Tropical Medicine. ^[3]

关键词 African Natural Products Main Protease SARS-CoV-2 Virtual Screening

DOI 10.21203/rs.3.rs-2673755/v1

PMID 36993208

发布时间 2025-05-30

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Research square

相似文献

中文期刊
外文期刊
学位论文
会议论文

浏览0

点击下载本期目录封面

检索历史清除

Identification of promising high-affinity inhibitors of SARS-CoV-2 main protease from African Natural Products Databases by Virtual Screening.

Research square

相似文献

同项目论文

Research square

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Identification of promising high-affinity inhibitors of SARS-CoV-2 main protease from African Natural Products Databases by Virtual Screening.

Research square

相似文献

同项目论文

Research square

相关期刊

检索历史清除