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. 2023 Feb 24:1–9. Online ahead of print. doi: 10.1007/s11030-023-10601-1

Table 1.

Top-lead compounds having the highest binding affinity to SARS-CoV-2 Mpro predicted by XGBoost model

No NSC ID IUPAC name ΔGML(kcal mol−1)
1 1451 N-benzyl-1-methylpyrazolo[3,4-d]pyrimidin-4-amine  − 8.62
2 162,915 1-pyridin-4-yltriazolo[4,5-c]pyridine  − 8.59
3 23,247 3-[1-(4-methylphenyl)tetrazol-5-yl]pyridine  − 8.56
4 7867 6-chloro-N-(2-chlorophenyl)-1-methylpyrazolo[3,4-d]pyrimidin-4-amine  − 8.55
5 55,770 4-chloronaphthalene-1-carboxamide  − 8.51
6 166,596 3-phenyl-6-thiophen-2-yl-[1,2,4]triazolo[3,4-b][1,3,4]oxadiazole  − 8.51
7 202,705 1-(2,1,3-benzothiadiazol-4-yl)-3-(4-chlorophenyl)urea  − 8.51
8 34,488 N,N-dimethyl-9-phenylpurin-6-amine  − 8.50
9 19,123 6-chloro-1-methyl-N-(4-nitrophenyl)pyrazolo[3,4-d]pyrimidin-4-amine  − 8.45
10 379,639 5-amino-6-chlorotriazolo[1,5-a]quinazoline-3-carbonitrile  − 8.44

The calculated error is the standard error of the mean of four independent trajectories