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Long, Q.-X., Liu, B.-Z., Deng, H.-J., Wu, G.-C., Deng, K., Chen, Y.-K., Liao, P., Qiu, J.-F., Lin, Y., Cai, X.-F., Wang, D.-Q., Hu, Y., Ren, J.-H., Tang, N., Xu, Y.-Y., Yu, L.-H., Mo, Z., Gong, F., Zhang, X.-L., Tian, W.-G., et al. (2020) Antibody Responses to SARS-CoV-2 in Patients with COVID-19. Nature Medicine, 26, 845-848.

has been cited by the following article:

• TITLE: World’s Fastest Supercomputer Picks COVID-19 Drug

  AUTHORS: Zameer Shervani, Intazam Khan, Tasrina Khan, Umair Yaqub Qazi

  KEYWORDS: COVID-19 Drug, World’s Fastest Supercomputer, Fugaku Supercomputer, COVID-19 Treatment, COVID-19 Prevention

  JOURNAL NAME: Advances in Infectious Diseases, Vol.10 No.3, October 14, 2020

  ABSTRACT: 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.