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. 2022 Dec 30;26(1):105920. doi: 10.1016/j.isci.2022.105920

Table 3.

Docking results using AF structural models

Receptor ICM EF1 ECR EF1 PRC
Native ligand RMSD (Å)
A/Sa EF HR
ABL1 24.8 16.0 21/65 19.5 0.32 0.66
PNPH 13.6 18.6 18/69 17.9 0.26 1.2
ADRB2 6.3 3.4 1/16 2.5 0.06 2.03
IGF1R 9.5 7.5 3/19 10.1 0.16 5.01
CDK2 8.1 10.2 3/10 10.9 0.30 8.3
COX1 1.9 1.3 4/74 2.5 0.05 >10
PRGR 15.7 12.6 36/107 18.3 0.34 0.93
ANDR 0.8 0.0 0/169 0.0 0.00 6.5
LFA1 1.5 2.9 0/14 0.0 0.00 7.7
PTN1 24.1 29.5 15/40 21.3 0.38 1.6
UROK 17.3 2.5 1/25 2.5 0.04 2.01
FABP4 0.0 0.0 0/11 0.0 0.00 5.2
KPCB 3.7 11.8 1/35 1.9 0.03 6.3
HSP90 4.6 0.0 0/32 0.0 0.00 4.5
ESR1 1.1 8.3 36/206 10.2 0.17 2.5
DRD3 0.6 10.4 7/33 8.5 0.21 7.2
KITH 18.7 22.1 13/32 20.7 0.41 1.0
PDE5A 3.5 10.3 29/141 14.4 0.21 9.32
FA7 9.6 13.1 5/12 23.2 0.42 2.33
HXK4 4.3 1.1 0/5 0 0 9.64
PYRD 7.2 3.6 3/53 3.3 0.06 8.8
Average 8.4 8.8 8.9 0.16

EF1 is shown for ICM and ECR. The PRC consensus method is evaluated by EF and HR. The corresponding equations can be found in STAR Methods. All these metrics are dimensionless.

a

Active/Selected.