H. Park et al. / Bioorg. Med. Chem. Lett. 25 (2015) 3784–3787
3785
used as the receptor model in the de novo design for our structure-
activity relationship (SAR) study. The structure-guided design of
new p38 MAPK inhibitors was performed in three steps. First, the
structural modifications were made to the initial p38 MAPK inhibi-
tor (1) to obtain the better scaffold from which a number of new
potent inhibitors could be derivatized. This led to the identification
structure-based de novo design with two constraints. First, we
selected only the structures similar to 1 with Tanimoto coefficient
higher than 8.0 to ensure tight binding in the ATP binding site of
p38 MAPK. The output structures were then screened further for
having the lower
with the increased binding affinity.
D
Gabq values than 1 to select the new scaffolds
of phenyl-(2-phenylamino-thiazol-5-yl)-methanone (2) as
promising scaffold for designing new p38 MAPK inhibitors.
a
Due to the two severe constraints imposed in the de novo
design, we were able to find only one structure (2) that was antic-
ipated to be a promising scaffold from which new potent p38
MAPK inhibitors could be derivatized. As can be seen in Figure 1,
it differs from 1 only in the lack of –NH2 moiety on the central thi-
azole ring. The calculated binding free energy and solvation free
In the second step, various derivatives of 2 were generated
based on the calculated binding mode of 2 in the ATP-binding site
of p38 MAPK. This started with the structural analysis of the ATP-
binding pocket using the POCKET module of the LigBuilder pro-
gram.20 The structure of p38 MAPK in complex with 2 obtained
from docking simulations with the AutoDock program21 served
as the input to find the key interaction residues in the ATP-
binding site. To generate various derivatives of 2 as the candidates
for a potent inhibitor, the proper chemical moieties at the substitu-
tion positions were selected with the genetic algorithm. To score
and rank the generated derivatives, we used the empirical scoring
function suggested by Wang et al. that included van der Waals,
hydrogen bond, electrostatic, and entropic terms.22 To reduce the
computational burden, only the generated derivatives that could
satisfy the bioavailability rules as a drug candidate23 were selected
for further analysis. Based on the filtration criteria, we obtained
2259 derivatives that were estimated to have higher inhibitory
activity against p38 MAPK than 2.
Although the effects of ligand solvation have been shown to be
critically important in protein–ligand association,19 the current
scoring function of the LigBuilder program lacks a solvation term.
In the third step of de novo design, therefore, the derivatives of 2
generated with LigBuilder were further screened with a new bind-
ing free energy function constructed by combining an appropriate
solvation free energy term to the original scoring function of the
AutoDock program. This modified scoring function can be
expressed as follows:24
energy (
of 1. Keeping it in mind that the binding free energy of a protein–
ligand complex in aqueous solution (
Gabq) can be approximated as
the difference between that in the gas phase (
Gbgas) and the Gsol
value of ligand, we computed the two energy components sepa-
rately to estimate their relative contributions to
Gabq. Judging from
the lower
Ggbas value of 1 than 2, the former seems to bind more
DG
sol) of 2 are shown in Table 1 in comparison with those
D
D
D
D
D
tightly in the ATP-binding site of p38 MAPK than the latter.
However, the biochemical potency of 1 seems to be limited by
the relatively high desolvation cost (ꢀ
DG
sol) for binding to p38
MAPK. As a consequence, 1 and 2 are predicted to be almost
equally potent p38 MAPK inhibitors. This result exemplifies the
necessity of the solvation free energy term in the scoring function
to estimate the relative inhibitory activities. The significant contri-
bution of D D
Gsol to Gabq also indicates that in order to enhance the
potency of a p38 MAPK inhibitor with structural modifications, the
resulting increase in the strength of enzyme-inhibitor interactions
should be sufficient to surmount the increased stabilization in
aqueous solution. In the de novo design to find new potent p38
MAPK inhibitors, we selected 2 as the molecular core instead of 1
because the former had the more chance for derivatization than
the latter due to the structural simplicity.
Using the binding free energy function in Eq. 1, the derivatives
of 2 generated with LigBuilder were rescored according to the
binding affinity in the ATP-binding site of p38 MAPK. Top-ranked
derivatives (100 compounds) were then selected as virtual hits,
which were inspected for synthetic availabilities. Finally, twenty
derivatives of 2 were synthesized and tested for inhibitory activity
against p38 MAPK.27 The general synthetic route for the prepara-
tion of substituted aminothiazole derivatives is shown in
Scheme 1.
!
XX
Aij Bij
D
Gabq ¼ W
12 ꢀ
v
dW
rij
r6ij
i¼1 j¼1
!
XX
XX
qiqj
j¼1 eðrijÞrij
Cij Dij
þ Whbond
EðtÞ 12 ꢀ
þ Welec
10
ij
rij
r
i¼1 j¼1
i¼1
!
2
r
X
X
ij
2
2
r
þ WtorNtor
þ
Si Omi ax
ꢀ
Vjeꢀ
ð1Þ
i¼1
j–i
To address the possibility of tight binding of 2 in the ATP-
binding site, we carried out docking simulations between p38
MAPK and 2 using the modified scoring function shown in Eq. 1.
In the calculation of the molecular solvation free energies of the
derivatives of 2, we used the atomic parameters developed by Park
because they proved to be useful for estimating the solvation free
energies of various organic molecules in SAMPL4 blind prediction
challenge.25 This modification of the scoring function seems to
have an effect of raising the probability of finding the actual p38
MAPK inhibitors because the overestimation of the binding affinity
of a polar group can be avoided effectively. Indeed, the superiority
of this modified scoring function to the previous one was well-
appreciated in recent studies for virtual screening of kinase
inhibitors.26
Although 1 is a submicromolar p38 MAPK inhibitor, it seems to
be a poor molecular core to serve as a starting point of drug discov-
ery due to the presence of an amino moiety on the central thiazole
ring. This functional group is actually responsible for high desolva-
tion cost by facilitating the formation of multiple hydrogen bonds
with water molecules,25 which would have the effect of limiting
the inhibitory activity of a candidate inhibitor derived from 1.
Therefore, we decided to make some structural modifications of
1 to obtain the better inhibitor scaffold than 1 with similar
biochemical potency. This could be made possible by the
R2
O
O
R1
S
N
S
N
NH
NH
H2N
H
1
2
Figure 1. Structural modifications of 1 to find the better inhibitor scaffold for de
novo design.
Table 1
Calculated
energy value is given in kcal/mol
D , DG D
Ggbas sol, and Gabq values of 2 in comparison with those of 1. Each
Scaffold
D
Ggbas
D
Gsol
D
Gabq
1
2
ꢀ24.8
ꢀ21.4
ꢀ13.7
ꢀ10.1
ꢀ11.1
ꢀ11.3