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. 2022 Jun 16;10:902123. doi: 10.3389/fpubh.2022.902123

Table 4.

Drugs predicted for COVID-19 with their prediction probability and reference links.

DrugBank ID Drug name Targets Prediction Confidence References
1 DB01054 Nitrendipine AAK1 0.909 (85)
2 DB12610 Ebselen FURIN AAK1 0.916 (86, 87)
3 DB04954 Tecadenoson AAK1 0.912 (88)
4 DB12831 Gabexate ACE2
CTSL
0.912 (89)
5 DB12945 Dihydralazine TMPRSS2
CTSL
ACE2
0.946 (90)
6 DB13014 Hypericin AAK1 0.901 (91)
7 DB13025 Tiapride FURIN
AAK1
0.917 (92)
8 DB13132 Artemisinin CTSL
ACE2
0.964 (93, 94)
9 DB13141 Ambroxol acefyllinate TMPRSS2
CTSL
ACE2
0.94 (95, 96)
10 DB13620 Potassium gluconate AAK1 0.911 (97, 98)
11 DB13875 Harmaline GAK
FURIN
ACE2
0.943 (99, 100)
12 DB13876 Brofaromine TMPRSS2
CTSL
ACE2
0.948 (101)

The mentioned drugs are the results of the drugs from the Random Forest model and model combination (Random Forest + Tree Ensembl). The first two drugs are the result of the combination models. Moreover, the table contains the drugs and their DrugBank IDs which are validated from the literature for their use in COVID-19. It supports and adds to the credibility of our developed ML models. Additionally, the COVID-19 targets in the form of Uniprot IDs along with prediction confidence and literature-based evidence.