Table 3 Summary of tricyclic core series optimization guided by ligand-based relative binding (L-RB-FEP+) and protein residue mutation (PRM-FEP+) predictions

From: Harnessing free energy calculations for kinome-wide selectivity in drug discovery campaigns with a Wee1 case study

 

Compound 8

Compound 13

Compound 14

Chemical structure

 Wee1 L-RB-FEP+ IC50 [nM]

n/a

2

0.5

 Wee1 ADP-Glo IC50 [nM]

0.6

42.3

1.0

 PLK1 ADP-Glo IC50 [nM]

> 10,000

> 10,000

> 10,000

PRM-FEP+ ΔpKi

   

 Asn → Thr

−1.1

−2.0

−2.0

 Asn → Phe

−4.0

−3.8

−4.2

 Asn → Met

−1.8

−2.5

−2.4

 Asn → Leu

−3.6

−4.0

−3.8

 Asn → Val

−1.9

−2.5

−3.0

Subpanel by GK < 100-fold (scanMAX by GK with %Ctrl < 10)

   

 % Thr kinases hit

0 (4)

0

25 (11)

 % Phe kinases hit

0 (2)

0

0 (1)

 % Met kinases hit

0 (1)

0

0 (3)

 % Leu kinases hit

0 (1)

0

0 (1)

 % other kinases hit

0 (5)

0

0 (5)

scanMAX: number of hits, selectivity score

   

 S(35)

20, 0.05

 

29, 0.072

 S(10)

8, 0.02

 

14, 0.035

 S(1)

4, 0.01

 

5, 0.012

scanMAX plots

 

  1. Increasingly negative PRM-FEP+ ΔpKi values predict more selective inhibition of Wee1 over the off-target kinases. Compounds were screened in the scanMAX panel of 403 wild-type human kinases at 500 nM; % kinases hit and selectivity scores are calculated as described in Table 1.