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. 2021 Aug 27;203:564–574. doi: 10.1016/j.ymeth.2021.08.007

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Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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Fig. 3 — Covid19 Symptoms based analysis. The analysis consists of the following steps. Step-1: Symptoms are searched in the DisGeNET database. Step-2: Symptom associated gene sets are fetched from the DisGeNET database. Step-3: All gene sets are provided as an input to Molbiotools online. Step-4: Common overlapping set of genes are obtained from Molbiotools. Step-5: Curated Covid19 dataset is extracted from the Comparative Toxicogenomics Database (CTD) under respiratory tract disease & viral disease. Step-6: These sets of genes intersect with the common overlapping set of genes obtained from Molbiotools to form a key set of Covid19 related genes. Step-7: This key set of Covid19 related genes, after mapping to their corresponding protein IDs, are compared with the spreader proteins in Human-nCoV PPIN. Step-8: After comparison, top genes are selected in both level-1 and level-2 of Human-nCoV PPIN, which are finally used for the PDS_CS algorithm to determine the most potential candidate FDA drug for COVID19. Here, Fostamatinib/R406 has the highest DCS score.