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. 2021 Sep 1;12:728960. doi: 10.3389/fgene.2021.728960

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Copyright © 2021 Fang, Wu, Ye, Cai, Xu, Gu, Wang, Liu, Tan and Du.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Network-based in silico prediction of approved drugs against COVID-19. Circos plot exhibiting 53 potential drug candidates identified by network proximity analysis. The full version exhibiting all the predicted approved drugs (p < 0.05) is provided in Supplementary Table 3. All drugs are grouped by their first-level Anatomical Therapeutic Chemical Classification (ATC) codes. Twenty best drug candidates were selected based on multiple studies from antivirus in vivo and anti-inflammation. Note: A: alimentary tract and metabolism; C: cardiovascular system; D: dermatologicals; J: anti-infectives for systemic use; L: antineoplastic and immunomodulating agents; M: musculo-skeletal system; N: nervous system; R: respiratory system; and O: others.