World’s Fastest Supercomputer Picks COVID-19 Drug

• 作者: Intazam Khan Tasrina Khan Umair Yaqub Qazi Zameer Shervani
• 来源期刊: 传染病进展(英文)
• 学科: 体育
• 关键词: COVID-19 Drug World’s Fastest Supercomputer Fugaku Supercomputer COVID-19 Treatment COVID-19 Prevention
• 年，卷（期）: 2020,（S1）
• 页码范围: 211-225
• 页数: 15页
• 分类号: G86

摘要

We have demonstrated the application of the world’s fastest supercomputer Fugaku located in Japan to select the COVID-19 drugs and stopping the pandemic spread. Using computer simulation out of 2128 potential drug candidates, the world’s fastest supercomputer picked 30 most effective and potential drugs. Twelve of them are under clinical trials outside Japan;some are being tested in Japan. The computer reduced the computation time from one year to 10 days when compared to second superfast computer of the world. Fugaku supercomputer was employed to know the behavior of airborne aerosol COVID-19 virus. 3Cs were suggested: avoid closed and crowded spaces and contacts to stop the pandemic spread. The progress in vaccine development and proper use and type of mask has also been described in this article. The article will benefit greatly to stop spreading and treating the pandemic COVID-19.