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. 2024 Mar 11;13(3):252. doi: 10.3390/antibiotics13030252

Table 3.

Statistical analysis of the five largest clusters for InhA, FabI, FabV, and FabK.

Enzyme Cluster IntSim a %Cmp b nCl c nCl/nCmp d nCmp e %Actives nCmpE f Q3 g pIC50 h
FabI 1 0.30 46.7 22 208 77.4 445 6.6 9.4
FabI 2 0.43 13.3 59 72.9 6.9 8.1
FabI 3 0.41 9.0 0.049 40 47.5 5.8 6.9
FabI 4 0.11 7.2 32 75 6.7 6.7
FabI 5 0.29 4.7 21 33.3 5.9 6.6
FabK 1 0.30 88.2 3 45 53.3 51 7.6 8.6
FabK 2 0.08 9.8 0.059 5 20 5.1 5.3
FabV 1 0.40 100 1 0.067 15 33.3 15 6.4 7.0
InhA 1 0.28 16.4 77 162 38.9 990 6.2 7.2
InhA 2 0.52 11.5 114 36.0 7.0 9.7
InhA 3 0.48 7.4 0.078 73 45.2 6.5 7.7
InhA 4 0,20 6.9 68 95.6 8.4 8.7
InhA 5 0.47 6.6 65 10.8 5.1 6.0

a IntSim—Intracluster similarity, b %Cmp—Proportion of compounds in an enzyme dataset, c nCl—Number of clusters, d nCl/nCmp—Number of clusters divided by the number of compounds, e nCmp—Number of compounds in a cluster, f nCmpE—Number of compounds in an enzyme dataset, g Q3—Third quartile of pIC50 values in a cluster, h pIC50—highest pIC50 value in a dataset.