The drug efflux pump P-glycoprotein (P-gp) has been shown to promote multidrug resistance (MDR) in tumors as well as to influence ADME properties of drug candidates. Here we synthesized and tested a series of benzophenone derivatives structurally analogous to propafenone-type inhibitors of P-gp. Some of the compounds showed ligand efficiency and lipophilic efficiency (LipE) values in the range of compounds which entered clinical trials as MDR modulators. Interestingly, although lipophilicity plays a dominant role for P-gp inhibitors, all compounds investigated showed LipE values below the threshold for promising drug candidates. Docking studies of selected analogues into a homology model of P-glycoprotein suggest that benzophenones show an interaction pattern similar to that previously identified for propafenone-type inhibitors.
The drug efflux pump P-glycoprotein (P-gp) has been shown to promote multidrug resistance (MDR) in tumors as well as to influence ADME properties of drug candidates. Here we synthesized and tested a series of benzophenone derivatives structurally analogous to propafenone-type inhibitors of P-gp. Some of the compounds showed ligand efficiency and lipophilic efficiency (LipE) values in the range of compounds which entered clinical trials as MDR modulators. Interestingly, although lipophilicity plays a dominant role for P-gp inhibitors, all compounds investigated showed LipE values below the threshold for promising drug candidates. Docking studies of selected analogues into a homology model of P-glycoprotein suggest that benzophenones show an interaction pattern similar to that previously identified for propafenone-type inhibitors.
Membrane transporters are increasingly
recognized for playing a
key role in safety profiles of drug candidates, predominantly by their
involvement in drug–drug interactions.[1,2] One
of the most intensively studied families in this context is the ATP-binding
cassette (ABC) transporter superfamily.[3−5] Several members of these
ATP-driven transporters are expressed at tissue barriers and thus
influence uptake and elimination of drugs and drug candidates.[6] Originally they have been linked to development
of multidrug resistance (MDR) in tumor therapy, as they transport
a wide variety of natural product toxins such as anthracyclines, vincristine,
and taxanes out of tumor cells.[7,8] Thus, P-glycoprotein
(P-gp/ABCB1), discovered in 1976 and considered the paradigm ABC transporter,[9,10] shows a remarkably broad substrate pattern, transporting numerous
structurally and functionally diverse compounds across cell membranes.[3] P-gp is expressed at the blood–brain barrier
(BBB), the blood–cerebrospinal fluid (B-CSF) barrier, and the
intestinal barrier, thus modulating the absorption and excretion of
xenobiotics across these barriers.[6] P-gp
and its ligands (substrates and inhibitors) are therefore extensively
studied both with respect to reversing multidrug resistance in tumors
and for modifying ADME-Tox properties of drug candidates,[11] such as central nervous system (CNS) active
agents.[12,13] Within the past two decades, numerous modulators
of P-gp mediated drug efflux have been identified[14,15] and several entered clinical studies up to phase III. However, up
to now no compound achieved approval, which is mainly due to severe
side effects and lack of efficacy. This further emphasizes the physiological
role of efflux transporters in general and P-gp in particular[16] and stresses the need for a more detailed knowledge
on the structure and function of these proteins and the molecular
basis of their interaction with small molecules.[17] The latter has been approached by numerous SAR and QSAR
studies, which revealed that high lipophilicity seems to be a general
prerequisite for high P-gp inhibitory potency, valid across different
chemical scaffolds. This is also in line with recent structure-based
studies, which indicate an entry pathway via the membrane bilayer.[18,19]In recent years the concepts of “Binding energy
of the ligand per atom” or ligand efficiency (LE)[20−22] and lipophilic efficiency (LipE),[23,24] which combines
both “potency and lipophilicity,” have
been shown to be useful tools in the lead optimization process.[25,26] In the light of our extensive SAR and QSAR studies on propafenone
analogues[27,28] (Figure 1) and related
compounds, we also utilized benzophenone-based probes, which contain
a photoactive arylcarbonyl group as part of the pharmacophore. This
led to the identification of key amino acid residues interacting with
these ligands.[29,30] Within this study, we extended
the set of benzophenones in order to identify compounds with higher
potency, utilizing also the concepts of LE and LipE. In addition,
docking studies of selected compounds into a homology model of P-gp
were performed to shed light on the potential binding mode of these
compounds and to compare it with the binding hypothesis derived for
analogous propafenones.[17]
Figure 1
Selected propafenone
analogues used in this study.
Selected propafenone
analogues used in this study.
Results and Discussion
Chemistry
Synthesis of benzophenone analogues 6–24 was carried out in analogy to the
synthesis of propafenone derivatives.[27] Briefly, the respective ortho-, meta-, or para-hydroxy benzophenone (1a–c) was alkylated with epichlorohydrine yielding ortho-, meta-, and para-oxiranes 2a–c. Subsequent nucleophilic
oxirane ring-opening with primary or secondary amines (R1) gave target
compounds 6–19. Excessive amount
of oxirane 2a upon nucleophilic ring-opening with piperazine
yielded the homodimer 23, whereas equimolar amounts of
both partners predominantly gave the piperazine analogue 5 (Scheme 1).
Scheme 1
Reagents and conditions:
(i)
NaOH, epicholorohydrine, reflux for 24 h; (ii) methanol, respective
amine (R1), reflux for 24 h (5–19, 23).
Reagents and conditions:
(i)
NaOH, epicholorohydrine, reflux for 24 h; (ii) methanol, respective
amine (R1), reflux for 24 h (5–19, 23).Further treatment of
piperazine analogue 5 with phenylisocyanate
and its thio-analogue as described by Pitha et al.[31] yielded 21 and 22, respectively. O-Alkylation of 2-hydroxy-5-methyl acetophenone (3) with epichlorohydrine yielded 4, which, upon subsequent
nucleophilic ring-opening by piperazine 5 yielded the
heterodimer 24 (Scheme 2).
Scheme 2
Reagents and conditions:
(i)
NaOH, epicholorohydrine, reflux for 24 h; (iv) p-tolyl
isocyanate, CH2Cl2, stirring 2 h (X = O), p-tolylisothiocyanate, CH2Cl2, stirring
2 h (X = S); (v) methanol, reflux 5 h.
Reagents and conditions:
(i)
NaOH, epicholorohydrine, reflux for 24 h; (iv) p-tolyl
isocyanate, CH2Cl2, stirring 2 h (X = O), p-tolylisothiocyanate, CH2Cl2, stirring
2 h (X = S); (v) methanol, reflux 5 h.
Biological Activity
Biological activity of target compounds 6–24 was assessed using the daunorubicin
efflux protocol as described previously.[32] Briefly, multidrug resistant CCRF-CEM vcr 1000 cells were preloaded
with daunorubicin and efflux was monitored by time-dependent decrease
in mean cellular fluorescence in the absence and presence of various
concentrations of compounds. IC50 values were calculated
from concentration–response curves derived from first-order
rate constant of transport (i.e.Vmax/Km) as a function of compound concentration.[32] Thus, the effect of different modulators on
the transport rate is measured in a direct functional assay. Values
are given in Table 1 and are the mean of at
least three independently performed experiments. Generally, interexperimental
variation was below 20%.
Table 1
Chemical Structure, Ligand Efficiency
(LE), Lipophilic Efficiency (LipE), and Pharmacological Activity of
Compounds 6–24
Position of the side chain at central
aromatic ring.
Position of the side chain at central
aromatic ring.
Structure–Activity Relationships
Table 1 shows the P-gp inhibitory potency of compounds 6–24. The IC50 values cover
a broad range, spanning from 0.05 μM for the dimer 23 up to 13.37 μM for the morpholine analogue 15. Besides the ortho-benzophenone dimer 23, also the ortho analogues showing an arylpiperazine moiety (6, 9) are highly active. Interestingly, the heterodimer 24 is one of the least active compounds in the data set, together
with the morpholine derivatives 15 and 16. With respect to substitution pattern at the central aromatic benzene
moiety, the rank order for arylpiperazine substituted compounds generally
is ortho > meta > para. An analogous trend has also been observed
for propafenone analogues.[33] However, for
compounds bearing piperidine or morpholine moieties, this trend is
partly reversed. In the case of piperidine derivatives, the para-derivative
is slightly more active than the meta analogue (1.20 vs 3.55 vs 2.18).
Interestingly, also for the morpholine analogues, the para-derivative
is by a factor of 2 more active than ortho-derivative (P = 0.01). Thus, the influence of the substitution pattern at the
central aromatic ring seems to be more pronounced if the vicinity
of the nitrogen comprises large, lipophilic moieties. This is in line
with our previous findings using hydrophobic moments as descriptors
in QSAR studies.[34]To assess the
role of lipophilicity as a general predictor for high potency, we
also calculated logP values using the software Bio-Loom version 1.5[35] and correlated them with pIC50 values
(Figure 2). Boi-Loom, which calculates logP
values by a fragment-based approach, was validated against experimental
logP values by Sakuratani et al.[36] The r2 value of 0.56 indicates that also in the series
of benzophenones biological activity increases with the lipophilicity
of the compounds. This is in agreement with the notion that compounds
most probably enter the binding cavity of P-gp directly from the membrane
bilayer.[18] This is additionally supported
by the recent X-ray structure of mouse P-gp, which shows a large inner
cavity accessible from the membrane via putative entry ports composed
of transmembrane helices 4/6 on one side and 10/12 on the other side.[19]
Figure 2
Correlation of P-gp inhibitory potency of compounds 6–24 (expressed as pIC50 values)
vs
calculated logP values of the ligands.
Correlation of P-gp inhibitory potency of compounds 6–24 (expressed as pIC50 values)
vs
calculated logP values of the ligands.The 4-hydroxy-4-phenyl-piperidine analogue 19 is located
above the clogP/pIC50 correlation line (pIC50, 5.76 calcd vs 6.51 obs), which further confirms our previous results
on the importance of the 4-hydroxy-4-phenyl-piperidine moiety for
high biological activity of propafenone derivatives.[37] These results were recently supported by extensive docking
studies of propafenone analogues.[17] It
is also interesting to note that the homodimer 23 is
about one log unit more potent than predicted by the clogP/pIC50 plot (pIC50, 6.10 calcd vs 7.27 obs). A pairwise
comparison of equilipophilic compounds 23 vs 21 (clogP, 4.27 vs 4.28; IC50, 0.05 vs 0.48 μM) and 19 vs 20 (clogP, 3.65 vs 3.64; IC50, 0.31 vs 1.21 μM) indicates that mutual activity differences
might also be due to difference in molecular size. The dimer 23 (44 heavy atoms) is about 1 order of magnitude more active
then 21 (35 heavy atoms). Similarly, 19 (32
heavy atoms) is about a factor of 4 more active than 20 (24 heavy atoms). This also points toward a commonly observed phenomenon
in lead optimization programs, i.e., activity increases with the size
of the molecules. Therefore, ligand efficiency (LE)[20−22] and lipophilic
efficiency (LipE)[23,24] profiles of inhibitors/substrates
of P-gp have been used to identify the derivatives with the best activity/size
(or logP) ratio, which should provide further insights for the design
of new ligands.[25,26]
Ligand Efficiency (LE)
LE, most commonly defined as
the ratio of free energy of binding to the number of heavy atoms,
is a simple metric for assessing whether a ligand derives its potency
from optimal fit with the target protein or simply by virtue of making
many contacts.[38] To get more information
on the most promising P-gp inhibitors and to compare them to well
established P-gp inhibitors/substrates, we calculated ligand efficiency
values of benzophenones 6–24, selected
propafenone analogues (Figure 1), as well as
P-gp inhibitors which entered clinical studies. Ligand efficiencies
were calculated as described in the Materials
and Methods section. For benzophenones, small ligands such
as the N-propyl derivative 20 and the
piperidine analogue 12 show higher efficiency values
(0.35; 0.33) than the large dimers 23 and 24 (0.23; 0.18). For the whole data set, it can be observed that ligand
efficiencies drop dramatically when the size of the ligands increases
above 50 heavy atoms (Figure 3).
Figure 3
Plot of ligand efficiency
vs heavy atom count for benzophenone
analogues, compounds which entered clinical studies and selected propafenones.
Plot of ligand efficiency
vs heavy atom count for benzophenone
analogues, compounds which entered clinical studies and selected propafenones.A similar trend has been observed in the literature,
with LE showing
generally a dependency on ligand size.[21] As LE in principle is supposed to normalize for the size of the
ligand, various proposals have been made to solve this problem.[22,39] As the heavy atom count of the ligands in our data set varies from
24 to 86 (20; valspodar), LE values were subsequently
scaled as described by Reynolds et al.[21,22] to retrieve
a size-independent ligand efficiency value (LE_Scale). This was achieved
by fitting the top ligand efficiency versus heavy atom count to a
simple exponential function, as outlined by Reynolds et al.,[21] (eq 1; Figure 3). Subsequently, the ratio of ligand efficiency
over normalized ligand efficiency scale gives a scoring function called
“Fit Quality” (FQ) (eq 2). According
to Reynolds et al., fit quality scores close to 1.0 or above indicate
near optimal ligand binding, while low fit quality scores are indicative
of suboptimal binding.Use of this criterion shows that most
of the compounds under clinical
investigation show FQ scores above 1, including zosuquidar, ONT093,
elacridar, and tariquidar, along with benzophenones 6 and 23, as well as propafenone and its analogues GPV062
and GPV576 (Figure 4; Table 2).
Figure 4
Fit quality scores vs heavy atom counts of benzophenones 6–24, compounds which entered clinical
studies, and selected propafenones. FQ score around 1 indicate a near optimal ligand binding affinity for a given number
of heavy atoms.
Table 2
Pharmacological Activities, Ligand
Efficiency (LE), and Lipophilic Efficiency (LipE) Profiles of Selected
Propafenones and P-gp Inhibitors Which Entered in Clinical Studies
compd
pIC50
HA
LE
clogP
LipE
Verapamil
6.24
33
0.27
4.47
1.77
Elacridar
7.14
42
0.24
4.21
2.93
Tariquidar
7.48
48
0.22
5.55
1.93
Zosuquidar
7.23
39
0.26
4.96
2.27
ONT093
7.50
37
0.29
7.30
0.19
Valspodar
6.30
86
0.10
15.09
–8.79
Cyclosporine A
6.99
85
0.12
14.36
–7.37
Niguldipine
6.15
45
0.20
7.80
–1.65
Propafenone
6.48
25
0.37
3.64
2.84
GPV576
8.25
35
0.33
6.02
2.23
GPV062
7.24
34
0.30
4.15
3.09
GPV005
6.22
27
0.33
4.38
1.84
Fit quality scores vs heavy atom counts of benzophenones 6–24, compounds which entered clinical
studies, and selected propafenones. FQ score around 1 indicate a near optimal ligand binding affinity for a given number
of heavy atoms.It is interesting to note that especially those compounds
which
were specifically designed as P-gp inhibitors (ONT093, zosuquidar,
elacridar, tariquidar) show higher FQ values than those originating
from drug repurposing attempts (verapamil, cyclosporine, and its analogue
valspodar). With respect to propafenone analogues, GPV576 is the hitherto
most active analogue we synthesized showing a highly lipophilic but
quite compact substituent at the nitrogen atom (4-tolylpiperazine).
Interestingly, the top ranked benzophenone analogue 6 also has a 4-tolylpiperazine moiety. This might point toward the
tolylpiperazine substituent for being a privileged substructure for
P-gp inhibitors. GPV062 bears a 4-hydroxy-4-phenyl-piperidine moiety,
which has been shown to influence biological activity independent
of lipophilicity, resulting in an almost 10-fold increase of inhibitory
potency when compared to compounds having other substituents at the
nitrogen atom. This points toward a distinct additional interaction
mediated by the 4-hydroxy group, most probably in the form of a hydrogen
bond. Finally, propafenone itself shows a very good value, thus retrospectively
demonstrating its validity as starting point for structural modifications.
However, it should be noted that during its catalytic cycle the transporter
undergoes a major conformational change and that it might well be
that some inhibitors exert their effect by slow off kinetics rather
than by strong binding to the apo state. In this case, LE values derived
from IC50 values for transport inhibition should be taken
cautiously.As already outlined, lipophilicity has been shown
in numerous studies
to be a general predictor for high P-gp inhibitory potency. This most
probably is due to the proposed access path of the compounds, which
seems to be directly from the membrane bilayer. On the other hand,
high lipophilicity is very often associated with poor oral drug-like
properties. This led to the assumption that clogP values between 2
and 3 are considered optimal in an oral drug program and prompted
Leeson et al., to introduce the concept of lipophilic efficiency.[23]
Liphophilic Efficiency (LipE)
LipE is a parameter that
combines both potency and lipophilicity and is defined as a measure
of how efficiently a ligand exploits its lipophilicity to bind to
a given target. Briefly, in a lead optimization series, there is a
greater likelihood of achieving good in vivo performance when potency
can be increased without increasing logP or logD values. To explore
this concept also for P-gp inhibitors, we calculated LipE values for
the whole set of benzophenones as well as for the compounds used for
the LE study (Table 2). The clogP values vary
from 2.66 to 15.09, leading to a lipophilic efficiency range between
−8.79 and +3.08. This is somewhat surprising, as it has been
reported that a lipophilic efficiency greater than 5 combined with
clogP values between 2 and 3 is considered optimal for a promising
drug candidate.[23,24] None of the clinically tested
P-gp inhibitors fulfils these requirements. Only the 4-hydroxy-4-phenyl-piperidine
analogous propafenone GPV062 as well as the dimer 23 exhibit
values slightly higher than 3. All other compounds show values lower
than 3 (Figure 5). It is tempting to speculate
whether this is due to the unique entrance pathway directly from the
membrane bilayer, which requires a different logP profile than for
compounds which access their binding site directly from the extracellular
or intracellular aqueous compartment.
Figure 5
Plot of clogP vs biological activity of
inhibitors of P-gp; LipE
values higher than 5 are considered to be the threshold for compounds
of clinical interest; ● benzophenones, ■ propafenones,
▲ compounds which entered clinical trials.
Plot of clogP vs biological activity of
inhibitors of P-gp; LipE
values higher than 5 are considered to be the threshold for compounds
of clinical interest; ● benzophenones, ■ propafenones,
▲ compounds which entered clinical trials.To study in more detail whether the unique access
path of P-gp
inhibitors directly from the membrane bilayer is linked to this unexpectedly
low LipE values, we studied the distribution of LipE profiles for
a set of targets showing different access pathways of their ligands:
P-glycoprotein (via the membrane bilayer), the serotonin transporter
SERT (from the extracellular environment), and the hERG potassium
channel (from the cytoplasm) (Figure 6). LipE
values of inhibitors of SERT (extracted from the ChemBL database),[40] hERG blockers,[41] and
propafenone-type inhibitors of P-gp (in-house data) were calculated
as described in the Materials and Methods section.
Figure 6
Schematic representation of access of inhibitors/substrates to
the binding sites of P-gp, SERT, and hERG along three different pathways.
Ligands of P-gp approach the binding cavity via the membrane bilayer;
in SERT the ligands get access from the extracellular environment,
while in hERG this access occurs via the cytoplasm.
Schematic representation of access of inhibitors/substrates to
the binding sites of P-gp, SERT, and hERG along three different pathways.
Ligands of P-gp approach the binding cavity via the membrane bilayer;
in SERT the ligands get access from the extracellular environment,
while in hERG this access occurs via the cytoplasm.The LipE distribution profile of SERT inhibitors
extracted from
the ChemBL database identified about 13% of the compounds that cross
the LipE threshold of 5 (Figure 7). These compounds
cover a wide range of IC50 (0.01 nM to 10 mM) and clogP
(−3.42 to 4.66) (SM Figure 1). Moreover,
15 SERT inhibitors have been identified with clogP ∼ 2.5, LipE
> 5, and IC50 < 10 nM, none of them was listed as
a
marketed drug. In the case of hERG, only 2.5% of the compounds cross
the LipE threshold of 5 that showed a potency distribution from 5
nM to 18 μM and clogP values between −0.77 and 2.21 (SM
Figure 1). Only two compounds, almokalant and
dofetilide, complied with the desired profile (clogP ∼ 2.5,
LipE > 5, potency values <10 nM). Dofetilide is a registered
class
III antiarrhythmic agent, while almokalant is in phase II clinical
investigations.[42,43]
Figure 7
LipE distribution profiles of ligands
of P-gp, SERT, and the hERG
potassium channel.
LipE distribution profiles of ligands
of P-gp, SERT, and the hERG
potassium channel.LipE profiles of P-gp inhibitors could not identify
any compound
that reaches the standard threshold value of 5. Most of the ligands
fall in the LipE range of 1–2 (39%) or 2–3 (28%), with
wide a range in distribution of their clogP (0.40 to 6.02) as well
as IC50 (5.60 nM to 1.20 mM) values (SM Figure 1). Thus, the LipE threshold for ligands of P-gp
needs to be reconsidered. Nevertheless, from the benzophenone data
set presented here, compounds 16, 19, 20, and 23 might be the most promising ones as
their LipE values are between 2 and 3, a range where most of the compounds
which in the past entered clinical trials are located.
Docking into a Homology Model of P-Glycoprotein
To
get insights into the potential binding mode of propafenone-type benzophenones,
we selected compounds 6, 19, and 20 and the dimer 23 for further in silico studies. Compounds 19, 20, and 23 were selected as
they are ranked high both in LipE and FQ scores, and 6 was additionally included as it is top ranked with respect to FQ.
Interestingly, this selection resembles the key features observed
for propafenone analogues: compound 6 shows a 4-tolylpiperazine
substituent (analogous to GPV576), compound 19 is analogous
to GPV062 (4-hydroxy-4-phenyl-piperidine), and derivative 20 is the direct propafenone analogue (N-propyl).
The docking protocol follows those previously published[44] and is provided in detail in the Materials and Methods section.The analysis
of the interaction pattern of selected docking poses indicates that
the benzophenone scaffold interacts with F343 and F303 near the entry
gate, whereas the lipophilic substituents in the vicinity of the basic
nitrogen atom are surrounded by hydrophobic amino acid residues L724,
I720, V981, I840, I836, and I765 located at TM 7, 8, 9, and 12 (Figure 8). This further supports the importance of high
lipophilicity and also is in line with previous studies performed
by Pajeva and Wiese, who showed that for a series of inhibitors of
P-gp hydrophobicity represents a space directed molecular property
rather than a simple overall descriptor.[45] The top ranked cluster of poses are in close vicinity of our previously
purposed binding positions for benzopyrano[3,4-b][1,4]oxazines,
where compounds having 4aS,10bR configuration
interact mainly with amino acid residues of TM 4, 5, and 6 near the
entry gate, while compounds having 4aR,10bS configuration are positioned deeper inside the binding
cavity, being mainly surrounded by hydrophobic amino acid residues
of TM 7, 8, 9, and 12.[44] Interestingly,
the top scored dimer 23 is positioned in a way to bridge
these two positions (Figure 8). Moreover, this
pose might also aid in the explanation for the activity differences
of homodimer 23 (0.05 μM) and heterodimer 22 (9.48 μM): The additional benzene ring in the best
scored pose of homodimer 23 is surrounded by several
hydrophobic amino acids (I836, L720, I840, and L724).
Figure 8
Ligand–protein
interaction profile of the best scored pose
of benzophenone dimer 23. Blue circle represent the putative
position of benzopyrano[3,4-b][1,4]oxazines having
4aS,10bR configuration, while the
green circle indicates the position of diastereoisomers with 4aR,10bS configuration.
Ligand–protein
interaction profile of the best scored pose
of benzophenone dimer 23. Blue circle represent the putative
position of benzopyrano[3,4-b][1,4]oxazines having
4aS,10bR configuration, while the
green circle indicates the position of diastereoisomers with 4aR,10bS configuration.A representative docking pose of the 4-hydroxy-4-phenyl-piperidine
derivative 19 showed an H-bond interaction between the
4-hydroxy group and A985 (Figure 9A). This
further supports our SAR data and strengthens the importance of 4-hydroxy-4-phenyl-piperidine
moieties for high inhibitory potency of propafenones and benzophenones.
Furthermore, A985 was also identified as interacting with verapamil
and the cyclic peptide (AQZ59-SSS) cocrystallized in mouse P-gp.[19] A binding pocket of 4.5 Å around interacting
amino acid residues of TM 7, 8, 9, and 12 showed two small hydrophobic
cavities (encircled in Figure 9B), occupying
the hydrophobic substituents at the basic nitrogen atom of the ligands.
A closer look of the overlaid poses shows that the benzophenone substituent
in dimer 23 fits well in the hydrophobic pockets, which
might explain its high FQ score.
Figure 9
(A) Ligand
protein interaction pattern of clustered pose of 19.
(B) Overlaid clustered poses (green, 23;
blue, 19; yellow, 20; brown, 6). Two important hydrophobic binding cavities have been formed by
amino acid residues of TM 7, 8, 9, and 12, indicated by two circles.
Overall, benzophenones shared
a similar interaction profile as
propafenones. Amino acids S952, F434, F336, L724, and Y307 have been
identified as common interacting amino acid residues of all three
classes of propafenone type inhibitors of P-gp (SM Figure 3). Selected benzophenone analogues have been previously
used as photoaffinity ligands to characterize the drug-binding domain
of propafenone-type analogues. In these studies, TM 3, 5, 6, 8, 10,
11, and 12 were identified as potential interacting helices.[30,46,47] This is well in line with our
docking studies, which show main interactions with TM 5 and 6 near
the entry gate and TM 7, 8, 9, and 12 deeper inside the cavity (SM
Figure 4). No significant cluster of poses
has been identified on the second wing (2/11 interface), which might
be due to the asymmetry in the template used for building the homology
model of P-gp, thus narrowing the available space at this side.(A) Ligand
protein interaction pattern of clustered pose of 19.
(B) Overlaid clustered poses (green, 23;
blue, 19; yellow, 20; brown, 6). Two important hydrophobic binding cavities have been formed by
amino acid residues of TM 7, 8, 9, and 12, indicated by two circles.
Conclusions
Calculation of ligand efficiency and lipophilic
efficiency values
for a set of P-gp inhibitors shows that ligands of P-gp exhibit LipE
values below the threshold of 5 considered to be optimal for clinical
candidates. This might be due to the unique entrance pathway of these
classes of compounds, taking a route directly from the membrane bilayer.
However, LipE and LE values of benzophenones 6, 19, and 20, as well as of the dimer 23, are close to compounds which entered clinical studies, thus qualifying
them for further lead optimization cycles. Docking studies further
strengthen the evidence provided by QSAR studies that the benzophenones
bind to the same region as propafenone-type inhibitors. Moreover,
the dimer 23 seems to bridge the two distinct binding
sites recently proposed for benzopyrano[3,4-b][1,4]oxazines.
This further supports the general assumption of a binding zone with
distinct, but overlapping binding sites for individual scaffolds as
a basis for the promiscuity of P-gp.
Experimental Section
Material and Methods
The data set used consists of
a set of previously published benzophenones 9(37) and 12, 19, and 20(29) as well as a series of newly
synthesized analogues. Melting points were determined on Leica Galen
III (ser. no. 1413 WT) and are uncorrected. Purity of the compounds
was checked by elemental analysis, and all values were within ±0.3%.
Elemental analysis was performed at Microanalytical Laboratory of
the Institute of Physical Chemistry (Mag. Johannes Theiner), University
of Vienna. The equipment used was a 2400 CHN-Elemental Analyzer from
Perkin-Elmer. Mass spectra were recorded on a Maldi-TOF, Kratos Instruments,
matrix assisted laser-desorption-ionization time-of-flight, reflection
mass spectrometer. NMR spectra were recorded on a Bruker spectrospin
for 200 MHz 1H NMR and 50 MHz for 13C NMR. CDCl3 and DMSO at room temperature were used as internal standards.
Column chromatographic separations were performed by using silica
gel 60 (Particle size 40–63 μm, 230–300 mesh)
from J. T. Baker or Merck. Thin layer chromatography (TLC) was performed
on silica gel 60F254 TLC plates from Merck.
General Procedure for the Preparation of (2-Oxiranylmethoxy-phenyl)-phenyl-methanone
C16H14O3 (2a)
First, 10 g (51 mmol) of 2-hydroxy-benzophenone was dissolved in
epichlorohydrine (120 mL), treated with 2.04 g (51 mmol) of sodium
hydroxide, and refluxed for 24 h. Then, after cooling, the residue
was filtered off and washed with diethyl ether. Subsequently, the
solvent was removed by rotary evaporation. The remaining oil was taken
up in diethyl ether and washed with water (175 mL). The organic phase
was then dried over anhydrous sodium sulfate. After removal of the
solvent by rotary evaporation, yellow oil was obtained, yield 12.81
g (98.85%). 1H NMR (CDCl3) δ 2.37–2.66
(m, 2H, CH2-O-CH), 2.96–3.00 (m, 1H, CH), 3.92–4.15
(m, 2H, Ar-O-CH2), 6.97–7.81 (m, 9H, arom H). 13C NMR (CDCl3) δ 44.03 (CH-CH2-O), 49.59 (CH), 68.62 (Ar-O-CH2), 112.72, 121.13, 128.05
(arom C), 129.00 (Ar-CO), 129.38, 129.69, 131.97, 132.66 (arom C),
137.93 (Ph-CO), 156.08 (Ar-O), 196.15 (CO).
General Procedure for the Preparation of (3-Oxiranylmethoxy-phenyl)-phenyl-methanone
C16H14O3 (2b)
First, 5 g (25.25 mmol) of 3-hydroxy-benzophenone was dissolved in
epichlorohydrine (60 mL), treated with 1.01 g (25.25 mmol) of sodium
hydroxide, refluxed for 6 h, and stirred overnight. Then the residue
was filtered off and washed with diethyl ether. After removal of the
solvents under reduced pressure, the resulting oil was taken up in
diethyl ether and washed with water several times. The organic layers
were combined, dried over anhydrous sodium sulfate, and evaporated
to dryness yielding yellow oil. For further purification a column
chromatography (silica gel, ether/petrol ether, 70 + 30) was performed.
Subsequent removal of the solvents under reduced pressure gave white
opalescent oil, yield 6 g (93.6%). 1H NMR (CDCl3) δ 2.71–2.74 (m, 1H, HA), 2.86 (t, 1H, J = 4.42, HB), 3.29–3.37 (m, 1H, CH),
3.93 (dd, 1H, J = 5.94/11.12, HX), 4.28
(dd, H, J = 2.90/10.98, HY), 7.10–7.78
(arom H). 13C NMR (CDCl3) δ 44.34 (CH2–O), 49.81 (CH), 68.76 (Ar-O-CH2), 114.93,
119.17, 123.10, 128.11, 129.18, 129.81, 132.31, (arom C), 137.28,
138.70 (C), 158.24 (Ar-O), 196.08 (CO).
General Procedure for the Preparation of (4-Oxiranylmethoxy-phenyl)-phenyl-methanone
C16H14O3 (2c)
first, 6 g (30.30 mmol) of 4-hydroxy-benzophenone was dissolved in
epichlorohydrine (50 mL), treated with 2 g (50 mmol) of sodium hydroxide,
refluxed for 5 h, and stirred overnight. The residue was filtered
off and washed with diethyl ether. Subsequently, the solvent was removed
by rotary evaporation. The remaining opalescent oil was taken up in
diethyl ether and washed with water several times. The organic phase
was then dried over anhydrous sodium sulfate. After removal of the
solvents by rotary evaporation, a white solid was obtained, yield
6.7 g (87.54%). 1H NMR (CDCl3) δ 2.76
(dd, 1H, J = 2.66/4.8, HA), 2.92 (t, 1H, J = 4.64, HB), 3.35–3.40 (m, 1H, CH),
3.96–4.0 (dd, 1H, J = 5.81–11.12, HX), 4.29–4.36 (dd, 1H, J = 2.91/11.11,
HY), 6.95–7.00 (m, 2H, H-3, H-5), 7.42–7.56
(m, 5H, H-2, H-6, H-3′, H-4′, H-5′), 7.72–7.83
(m, 2H, H-2′, H-6′). 13C NMR (CDCl3) δ 44.51 (CH2-O), 49.84 (CH), 68.82 (Ar-O-CH2), 114.07, 128.14, 129.65, 131.90, 132.46, (arom C), 130.54
(Ar-CO), 138.06 (Ph-CO), 161.93 (Ar-O), 195.41 (CO).
General Procedure for the Preparation of [2-(2-Hydroxy-3-piperazine-1-yl-propoxy)-phenyl]-phenyl-methanone
(5)
First, 1.82 g (7.20 mmol) of (2-oxiranylmethoxy-phenyl)-phenyl-methanone
(2a) was dissolved in 20–30 mL of methanol, 1.6
g (18.6 mmol) of piperazine was added, and then the reaction mixture
was refluxed for 5 h. After removal of the solvent by rotary evaporation,
a column chromatography was performed (silica gel, CH2Cl2/methanol/concentrated NH3, 100/10/1) subsequent
evaporation to dryness yielded 1.88 g (77.33%) of yellow oil which
was solidified on cooling. 1H NMR (CDCl3) δ
2.01–2.42 (m, 6H, CH2-N-(CH2)2), 2.77–2.81 (m, 4H, (CH2)2-N), 3.68–3.75
(m, 1H, CH), 3.90–3.94 (m, 2H, O–CH2), 6.96–7.79
(m, 9H, arom H). 13C NMR (CDCl3) δ 45.86
(N-(CH2)2), 54.30 ((CH2)2-NH), 60.79 (CH2-N), 65.27 (CH), 70.76 (O-CH2), 112.56, 121.05, 128.28, 129.51, 130.07, 132.33, 132.83 (arom C),
128.79 (Ar-CO), 138.36 (Ph-CO), 156.55 (arom C-O), 196.56 (CO).
First, 700 mg (2.75 mmol) of (4-oxiranylmethoxy-phenyl)-phenyl-methanone
(2c) was dissolved in 10 mL of piperidine and refluxed
for 2.5 h. Then after removal of piperidine under reduced pressure,
a yellow oil was obtained. For further purification, a column chromatography
was performed (silica gel, CH2Cl2/methanol/concentrated
NH3, 95/5/1 after removal of piperidine the percentage
of methanol was increased to 80/20/1). Solvents were removed by rotary
evaporation to yield light-yellow oil, which crystallized from ethyl
acetate. Further recrystallization from methanol/diethyl ether yielded
400 mg (42.8%) white crystals; mp 106 °C. 1H NMR (CDCl3) δ 1.49–1.72 (m, 6H, CH2), 2.58–2.73
(m, 6H, CH2-N-(CH2)2), 4.05–4.08
(m, 2H, O-CH2), 4.20–4.29 (m, 1H, CH), 4.32 (s,
1H, OH), 6.97 (d, 2H, J = 8.85, H-3, H-5), 7.45–7.82
(m, 7H, arom H). 13C NMR (CDCl3) δ 23.65,
25.33 (CH2), 54.78 (N-(CH2)2), 61.21 (CH2-N), 64.89 (CH), 70.64 (O-CH2), 114.06, 128.15, 129.67 (arom Cr), 130.38 (Ar-O), 131.89,
132.48 (arom C), 138.13 (Ph-CO), 162.21 (Ar-O), 195.49 (CO). MS m/e 340.3 (M+, 100%). Anal.
Calcd for C21H25NO3: C, 71.77; H,
7.55; N, 3.99. Found: C, 71.68; H, 7.51; N, 4.02.
First, 356 mg (1.40 mmol) of (2-oxiranylmethoxy-phenyl)-phenyl-methanone
(2a) was dissolved in 20–30 mL of methanol and
then 50.8 mg (0.59 mmol) of piperazine was added and the reaction
mixture was refluxed for 5 h. Then after removal of the solvent by
rotary evaporation, a column chromatography was performed (silica
gel, CH2Cl2/methanol/concentrated NH3, 100/10/1). Subsequent evaporation to dryness gave yellow oil, which
crystallized from isopropyl alcohol to leave 424 mg (51%) of white
solid; mp 125–135 °C. 1H NMR (CDCl3) δ 1.98–2.42 (m, 12H, CH2-N-(CH2)2-N-CH2), 3.10 (s, 1H, OH),
3.70–3.76 (m, 2H, 2CH), 3.94–4.07 (m, 5H, O-CH2, OH), 6.99–7.83 (m, 18H, arom H). 13C NMR (CDCl3) δ 53.13 (N-(CH2)4-N), 60.06 (CH2-NH), 65.47 (CH), 70.78 (O-CH2), 112.62, 121.10, 128.28, 129.53, 130.09, 132.33, 132.82 (arom C),
128.81 (Ar-CO), 138.34 (Ph-CO), 156.55 (Ar-O), 196.46 (CO). MS m/e 594.7 (M, 100%). Anal. Calcd for C36H38N2O6: C, 70.57; H, 7.14;
N, 4.22. Found: C, 70.91; H, 7.02; N, 4.26.
First, 500 mg (2.43 mmol) of 1-(5-methyl-2-oxiranylmethoxy-phenyl)-ethanone
(4) was dissolved in 10 mL of methanol, treated with
857.1 mg (2.52 mmol) of [2-(2-hydroxy-3-piperazine-1-yl-propoxy)-phenyl]-phenyl-methanone
(5), and refluxed for 5 h. Then after removal of solvent
under reduced pressure, a column chromatography was performed (silica
gel, CH2Cl2/methanol/concentrated NH3, 120/10/1). Subsequent removal of the solvents under reduced pressure
yielded 1.20 g (90.67%) of an orange oil: mp 89–93 °C. 1H NMR (CDCl3) δ 2.05–2.13 (m, 2H,
CH2-N), 2.29 (s, 3H, CH3), 2.33–2.55
(m, 10H, N-(CH2)4-N-CH2), 2.62 (s,
3H, CO-CH3), 2.98–3.01 (m, 1H, OH), 3.69–4.10
(m, 6H, 2O-CH2-CH), 6.83–7.80 (m, 12H, arom H). 13C NMR (CDCl3) δ 20.22 (CH3-Ar),
31.81 (CH3-CO), 53.20 (N-(CH2)2),
60.03, 60.49 (N-CH2), 65.43, 65.51 (CH), 70.75, 71.12 (O-CH2), 128.03, 128.82 (Ar-CO), 130.25 (CH3-Ar), 112.61,
112.79, 121.10, 128.27, 129.51, 130.08, 130.59, 132.32, 132.81, 134.12
(arom C), 138 (Ph-CO), 156.00, 156.55 (Ar-O), 196.46 (CO), 199.88
(Ar-CO-CH3). MS m/e 594.7
(M+, 100%). Anal. Calcd for C32H38N2O6: C, 61.82; H, 6.65; N, 4.51. Found: C, 61.60; H, 6.91;
N, 4.37.
Computational Studies
Ligand efficiency (LE = Δg) values of the data were calculated by normalizing binding
free energy of a ligand for number of heavy atoms. Free energy calculation
was carried out as described by Hopkins et al. (eq 3). According to Hopkins et al., IC50 from
percentage inhibition can be substituted for Kd (dissociation
constant potency)[48] which was further confirmed
by experimental results of Kuntz and co-workers.[38]Ligand efficiency calculations was done
for a temperature of 310
K and given in kcal per heavy atom (eq 4).A size independent fit quality score
was obtained as described
by Reynolds et al.[21] by fitting the maximum
LE over a large range of molecular size. All calculations regarding
ligand efficiency were done by using Excel spreadsheet. IC50 values of the propafenone type inhibitors (GPV576, GPV005, GPV062,
and propafenone) were determined experimentally by a daunorubicin
efflux essay.[37,49] Inhibition of rhodamine 123 efflux
in the transfectant mouse lymphoma line L5178 VMDR1 C.06 were used
to characterize the MDR-modulating activity values of verapamil, niguldipine,
and cyclosporine A. IC50 values of tariquidar,[50] elacridar,[51,52] valdapodar,[53] zosuquidar,[54,55] and ONT-093[56] were taken from literature (Table 2). IC50 values for most of the compounds in clinical
studies were reported by using rhodamine 123 efflux essays. We use
these values, as there is a direct correlation between the IC50 values from daunorubicin and rhodamine 123 efflux essays.[57]
Lipophilic Efficiency (LipE)
LipE of benzophenones
were calculated (eq 5) and compared with the
compounds which reached clinical studies (verapamil, tariquidar, valspodar,
elacridar, zosuquidar, ONT-093, niguldipine, and cyclosporine A) as
well as with selected propafenone analogues.clogP values of the data set were computed
by using the Bio-Loom software package,[35] and the LipE calculations were performed by using Excel spreadsheet.
To compare the standard threshold of LipE along three different entry
pathways of ligands into respective binding pockets of P-gp, hERG
and SERT, a data set from literature was used. It includes 744 SERT
inhibitors extracted from the ChEMBL database,[40] 313 hERG blockers[41] from literature,
and 372 inhibitors of P-gp mediated daunorubicin efflux (in-house
data). The data sets are available at our homepage (pharminfo.univie.ac.at)
and from Chemspider (www.chemspider.com).
Docking
Compounds 6, 19, 20, and 23 were docked in their neutral form
into an open state homology model of human P-gp[17] based on the X-ray structure of mouse P-gp (PDB: 3G5U)[19] by using the software package GOLD. To avoid any bias,
we considered the whole transmembrane domain region as binding pocket.
Then 100 poses per ligand were obtained, and finally ligand protein
complexes were minimized by LigX, a minimization tool implemented
in MOE, by using the MMFF94 force field.A complete work flow
of poses selection has been provided in Supporting
Information (SM Workflow 1). Briefly, agglomerative Hierarchical
Cluster analysis of the consensus rmsd matrix based on the common
scaffold of the ligands identified two interesting clusters of poses
containing all four ligands. However, additional five clusters have
been identified containing three out of four ligands. All seven clusters
were occupying the center of the binding cavity mainly interacting
with amino acid residues of TM 1, 5, 6, 7, 8, 10, and 11 (SM Figure 2A).
For a more detailed analysis of the ligand–protein interaction
profiles of selected ligands, we used the two clusters containing
all four ligands (SM Figure 2B).To prioritize
among the two clusters, a rescoring of all docking
poses by using four different scoring functions in MOE (ASE, affinity
dG, Alpha HB, London dG) was performed. Subsequently, for each ligand,
the top 10 ranked poses according to consensus scoring were taken
and analyzed. Out of these 40 poses, seven poses were present in cluster
1 while only one showed up in cluster 2. In addition, taking only
the top ranked pose per ligand, two (6, 23) out of four ligands were located in cluster 1 (SM Figure 2B). Additionally, cluster 1 was supported by photo
affinity labeling and SAR data of the series. Therefore
interaction position of cluster 1 was supposed to be the most likely
one for benzophenones.
Biological Assay
Cell Lines
The resistant CCRF vcr1000 cell line was
maintained in RPMI 1640 medium containing 10% fetal calf serum (FCS)
and 1000 ng/mL vincristine. The selecting agent was washed out 1 week
before the experiments. This cell line was selected due to its distinct
P-gp expression.
Inhibition of Daunorubicin Efflux
IC50 values
for daunorubicin efflux inhibition were determined as reported.[32] Internal concentration (3 μM) of daunorubicin
in the efflux inhibition assays was identified at least an order of
magnitude below the Km values published
for P-gp.[59,60]Briefly, cells were sedimented, the
supernatant was removed by aspiration, and the cells were resuspended
at a density of 1 × 106/mL in RPMI 1640 medium containing
daunorubicin (Sigma Chemical Co., St. Louis, MO) at a final concentration
of 3 μmol/L. Cell suspensions were incubated at 37 °C for
30 min. Tubes were chilled on ice and centrifuged at 500g in an Eppendorf 5403 centrifuge (Eppendorf, Hamburg, Germany). Supernatants
were removed, and the cell pellet was resuspended in medium prewarmed
to 37 °C containing either no inhibitor or compounds at various
concentrations ranging from 20 to 200 μM, depending on the solubility
and expected potency of the inhibitor. Eight concentrations (serial
1:3 dilution) were tested for each inhibitor. After 60, 120, 180,
and 240 s, aliquots of the incubation mixture were transferred to
tubes containing an equal volume of ice-cold stop solution (RPMI medium
containing GPV31 at a final concentration of 5 μmol/L). Zero
time points were determined by immediately pipetting daunorubicin-preloaded
cells into ice-cold stop solution. Samples drawn at the respective
time points were kept in an ice water bath and measured within 1 h
on a Becton Dickinson FACS Calibur flow cytometer (Becton Dickinson,
Vienna, Austria). Viable cells were selected by setting appropriate
gates for forward and side scatter. The excitation and emission wavelengths
were 482 and 558 nm, respectively. Five thousand gated events were
accumulated for the determination of mean fluorescence values.
Authors: Gerhard F Ecker; Edina Csaszar; Stephan Kopp; Brigitte Plagens; Wolfgang Holzer; Wolfgang Ernst; Peter Chiba Journal: Mol Pharmacol Date: 2002-03 Impact factor: 4.436
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