Thomas M Keck1,2, R Benjamin Free3, Marilyn M Day3, Sonvia L Brown4, Michele S Maddaluna4, Griffin Fountain1, Charles Cooper1, Brooke Fallon1, Matthew Holmes1, Christopher T Stang3, Russell Burkhardt5, Alessandro Bonifazi5, Michael P Ellenberger5, Amy H Newman5, David R Sibley3, Chun Wu1, Comfort A Boateng4. 1. Department of Chemistry & Biochemistry, Department of Molecular & Cellular Biosciences, College of Science and Mathematics , Rowan University , 201 Mullica Hill Road , Glassboro , New Jersey 08028 , United States. 2. Cooper Medical School of Rowan University , 401 Broadway , Camden , New Jersey 08103 , United States. 3. Molecular Neuropharmacology Section, National Institute of Neurological Disorders and Stroke-Intramural Research Program , National Institutes of Health , Bethesda , Maryland 20892 , United States. 4. Department of Basic Pharmaceutical Sciences, Fred Wilson School of Pharmacy , High Point University , One University Parkway , High Point , North Carolina 27268 , United States. 5. Medicinal Chemistry Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse-Intramural Research Program , National Institutes of Health , 333 Cassell Drive , Baltimore , Maryland 21224 , United States.
Abstract
The dopamine D4 receptor (D4R) plays important roles in cognition, attention, and decision making. Novel D4R-selective ligands have promise in medication development for neuropsychiatric conditions, including Alzheimer's disease and substance use disorders. To identify new D4R-selective ligands, and to understand the molecular determinants of agonist efficacy at D4R, we report a series of eighteen novel ligands based on the classical D4R agonist A-412997 (1, 2-(4-(pyridin-2-yl)piperidin-1-yl)- N-( m-tolyl)acetamide). Compounds were profiled using radioligand binding displacement assays, β-arrestin recruitment assays, cyclic AMP inhibition assays, and molecular dynamics computational modeling. We identified several novel D4R-selective ( Ki ≤ 4.3 nM and >100-fold vs other D2-like receptors) compounds with diverse partial agonist and antagonist profiles, falling into three structural groups. These compounds highlight receptor-ligand interactions that control efficacy at D2-like receptors and may provide insights into targeted drug discovery, leading to a better understanding of the role of D4Rs in neuropsychiatric disorders.
The dopamine D4 receptor (D4R) plays important roles in cognition, attention, and decision making. Novel D4R-selective ligands have promise in medication development for neuropsychiatric conditions, including Alzheimer's disease and substance use disorders. To identify new D4R-selective ligands, and to understand the molecular determinants of agonist efficacy at D4R, we report a series of eighteen novel ligands based on the classical D4R agonist A-412997 (1, 2-(4-(pyridin-2-yl)piperidin-1-yl)- N-( m-tolyl)acetamide). Compounds were profiled using radioligand binding displacement assays, β-arrestin recruitment assays, cyclic AMP inhibition assays, and molecular dynamics computational modeling. We identified several novel D4R-selective ( Ki ≤ 4.3 nM and >100-fold vs other D2-like receptors) compounds with diverse partial agonist and antagonist profiles, falling into three structural groups. These compounds highlight receptor-ligand interactions that control efficacy at D2-like receptors and may provide insights into targeted drug discovery, leading to a better understanding of the role of D4Rs in neuropsychiatric disorders.
The dopamine D4 receptor (D4R) is a G protein-coupled
receptor and a member of the D2-like subfamily of dopamine
receptors (including D2R, D3R, and D4R). D2-like receptors have high sequence homology and
share a Gαi/o-coupled signaling mechanism, but differ
substantially in localization within the brain and at the subcellular
level.[1] Compared with D2Rs and
D3Rs, D4Rs have the lowest level of expression
in the brain and show a unique distribution pattern, with most located
in the prefrontal cortex (PFC) and hippocampus. The other D2-like receptors are primarily in the striatum, basal ganglia, and
pituitary gland regions, regions associated with D2R-targeting
antipsychotic drugs and the motor and endocrine side effects commonly
observed with them.[2,3] In contrast, D4Rs expressed
in PFC and hippocampus affect attention, exploratory behavior,[3] and performance in novel object recognition[4,5] and inhibitory avoidance[6] cognitive tasks.
Therefore, pharmacological activation of D4Rs may be useful
to treat cognitive deficits associated with schizophrenia[7−10] and attention-deficit/hyperactivity disorder.[10,11] Additional research has explored D4R agonism as a strategy
to reduce the adverse effects of opioid drugs like morphine.[12,13] D4R antagonism may be useful to treat substance use disorders
(SUDs), particularly psychostimulant addiction, and l-DOPA-induced
dyskinesias.[10,14−20] The importance of targeting D4Rs in treating these complex
pathologies, especially with regards to the extent of receptor activation
or inhibition, remains unknown, partially because of a lack of suitable
compounds for investigating these pathways.A-412997 (1, 2-(4-(pyridin-2-yl)piperidin-1-yl)-N-(m-tolyl)acetamide, Figure ) was initially characterized
as a “full agonist” (83% intrinsic activity) at D4R, with high selectivity over D2R and D3R and in vivo effects that included induction of penile erection
in rats.[21,22] Subsequent in vivo evaluations showed improved
cognitive performance in social recognition tasks, novel object recognition
tasks, and 5-trial repeated acquisition inhibitory avoidance tasks
following treatment by 1 [or similar D4R agonists
PD168077 (2) and CP226269 (3)], suggesting
an important role for D4R signaling in mediating short-term
memory and cognition.[5,23]
Figure 1
Three classic D4R-selective
partial agonists.
Three classic D4R-selective
partial agonists.The goals of this study
were to develop new D4R agonists
with a range of efficacy levels and to identify the molecular components
that engender ligand efficacy at D4R. To that end, we employed
a rational drug design strategy incorporating classic structure–activity
relationship (SAR) analysis around lead compound 1. These
studies were enhanced by detailed in silico molecular dynamics (MD)
simulations exploiting the recently reported crystal structure of
D4R.[24] Furthermore, comparative
analyses were done using the D3R crystal structure[25] and the recently reported D2R structure.[26]We synthesized a library of analogues
primarily featuring modifications
in the phenylpiperidinyl region of 1, with additional
variations in linker chain length and substitutions on the amidylphenyl
region. Following extensive in vitro analyses, including binding and
functional studies, we determined that selected modifications resulted
in novel analogues with improved subtype selectivity. Furthermore,
we identified three classes of modifications that resulted in altered
efficacy profiles at all D2-like receptors. In order to
determine key receptor–ligand interactions, and identify the
molecular substrates of a putative “efficacy switch,”
the library was docked in receptor models of D2R, D3R, and D4R using MD simulations.
Chemistry
Ligands were synthesized as outlined in Scheme using routine N-alkylation reactions previously
reported.[21,27] The commercially available m-toluidine 4 was converted to intermediate 2-chloro-N-(m-tolyl)acetamide 5 by
reacting with 2-chloroacetyl chloride in the presence of triethylamine
and ethyl acetate at room temperature.[28] Using the same procedure, intermediates 14, 19, and 24 were synthesized in a similar manner, as indicated
in Scheme , with either
a one- or two-carbon linker. The intermediate compounds 5, 14, 19, and 24 were used
to alkylate different commercially available arylpiperazine or arylpiperidine
amines in the presence of K2CO3 in CH3CN under reflux conditions to yield the desired target compounds 6–9, 10–13, 15–17, 20–22, and 25–28, respectively,
with the exception of the synthesis of 1-(naphthalen-1-yl)piperazine
which was previously reported[29] via nucleophilic
substitution reaction with naphthalen-1-amine.
Scheme 1
Synthesis of 2-(4-(Pyridin-2-yl)piperidin-1-yl)-N-(m-tolyl)acetamide Analogues
Reagents and conditions: (a)
triethylamine, EtOAc, RT; (b) CH3CN, K2CO3, reflux, appropriate arylpiperazine or arylpiperidine.
Synthesis of 2-(4-(Pyridin-2-yl)piperidin-1-yl)-N-(m-tolyl)acetamide Analogues
Reagents and conditions: (a)
triethylamine, EtOAc, RT; (b) CH3CN, K2CO3, reflux, appropriate arylpiperazine or arylpiperidine.
Pharmacological Results and Discussion
SARs at Dopamine D2-like Receptors
A primary
objective of this study was to design ligands with high D4R binding affinity and subtype selectivity. The compound 1 and several designed analogs are shown in Figure . In order to obtain D4R ligands
with high affinity and selectivity, using compound 1 as
our lead compound, we employed three modification strategies, creating
2-(piperidin-4-yl)pyridinyl analogs, altering the linker chain length,
and creating N-(m-tolyl)acetamide
analogs.
Figure 2
Three classes of modifications to the structure of 1 resulting in differing binding and efficacy profiles at D2-like receptors. (A) Substitution of the piperidine ring for piperazine
induced a gain of efficacy at D2R and D3R with
insubstantial changes to D4R efficacy. (B) Substitution
of the pyridine ring with a phenyl or napthyl moiety produced modest
D4R subtype selectivity improvements and lowered partial
agonist efficacy at D4R with no agonist activity at D2R or D3R. (C) Para-substituted pyridine rings produced
highly D4R-selective antagonists.
Three classes of modifications to the structure of 1 resulting in differing binding and efficacy profiles at D2-like receptors. (A) Substitution of the piperidine ring for piperazine
induced a gain of efficacy at D2R and D3R with
insubstantial changes to D4R efficacy. (B) Substitution
of the pyridine ring with a phenyl or napthyl moiety produced modest
D4R subtype selectivity improvements and lowered partial
agonist efficacy at D4R with no agonist activity at D2R or D3R. (C) Para-substituted pyridine rings produced
highly D4R-selective antagonists.Of note, when 1 was evaluated in two different
functional
assays, its profile was clearly that of a partial agonist rather than
a full agonist as it is often described in the literature. In the
agonist mode for both the cyclic AMP (cAMP) accumulation and β-arrestin
recruitment assays, 1 had an Emax of 61.9 and 22.5%, respectively, when normalized to dopamine.The 2-pyridine moiety of 1 was replaced with a phenyl
in 6, para-tolyl in 7,
4-chlorophenyl in 8, and 5-methylpyridin-2-yl in 9. The piperidine attached to the linker chain was replaced
with a piperazine to form 10, replaced with a pyrimidine
to form 11, replaced with a 5-chloropyridin-2-yl to form 12, and replaced with a naphthyl substituent to obtain 13. To evaluate the contribution of the alkyl chain to the
binding affinity and selectivity, we synthesized alkyl chain length
analogs of compounds 1, 10, and 11, adding an extra methylene to the linker chain in compounds 15, 16, and 17, respectively. Finally,
we probed the contribution of the N-(3-methylphenyl)acetamide
moiety via replacement of the methyl with ethyl (compounds 20, 21, and 22, compared to compounds 1, 10, and 12, respectively) or
replaced of the entire N-(3-methylphenyl)acetamide
moiety with heteroaromatics (compounds 25–28).In order to best evaluate comparative affinities, two different
radioligands were used in competition binding studies: [3H]N-methylspiperone, a high-affinity D2-like antagonist, and [3H]-(R)-(+)-7-OH-DPAT,
a D2-like agonist. Importantly, the binding affinities
of D2-like agonists and high-efficacy partial agonists
are considerably higher when competing against an agonist radioligand
because high-affinity agonist binding incorporates an efficacy measure
in that the greater the efficacy for inducing G protein coupling,
the greater the “apparent” affinity will be. On the
other hand, antagonist binding, and competition for it, is unlinked
from efficacy and therefore unbiased. Therefore, because these radioligands
probe different receptor states, they provide complimentary views
of ligand binding,[30] which are particularly
valuable when examining affinity of partial agonists.Several
modifications of 1 resulted in modest improvements
in D4R affinity as measured by competition assays with
[3H]N-methylspiperone (up to ∼3-fold)
and [3H]-(R)-(+)-7-OH-DPAT (up to ∼3-fold).
However, marked improvements in D4R selectivity over D2R and D3R resulted from a variety of modifications,
typically driven by a loss of affinity at D2R and D3R.2-Pyridine substitutions resulted in a potency gain
when the piperidinyl
moiety was replaced with piperazinyl (e.g., 10 and 21). Adding an extra methylene to the linker chain, as in
compounds 15, 16, and 17, significantly
diminished D4R affinity and selectivity. These results
are consistent with previous studies that determined the importance
of carboxamide linker length for D2-like receptor selectivity.[31] Replacement of the methyl with an ethyl at the N-(3-methylphenyl)acetamide moiety (compounds 20, 21, and 22) did not substantially alter
affinity or selectivity for D4R compared to methyl analogues 1, 10, and 12, respectively. Replacement
of the entire N-(3-methylphenyl)acetamide moiety
with heteroaromatics (compounds 25–28) uniformly
led to loss of affinity and selectivity.Overall, we noted three
broader classes of modifications with distinct
binding and efficacy profiles across the D2-like receptors;
as outlined in Figure , these include (1) substitution of the piperidine ring for piperazine,
(2) substitution of the pyridine ring with a phenyl or napthyl moiety,
and (3) para-substituted pyridine rings. These classes formed the
basis for further SAR profiling and modeling studies using MD simulations.The parent compound, 1, showed 115-fold and 31-fold
higher affinity for D4R over D2R and D3R, respectively, as measured by [3H]N-methylspiperone competition. When examined using [3H]-(R)-(+)-7-OH-DPAT competition, 1 had higher
affinity at all subtypes (consistent with an agonist radioligand being
displaced by a compound that favors the activated receptor[30]) and showed a similar selectivity profile of
64-fold and 42-fold higher affinity for D4R over D2R and D3R, respectively. Full binding results are
presented in Table . Functional characterization revealed 1 to be a partial
agonist at D4R as measured in β-arrestin assays (Emax = 22.5%, EC50 = 473 nM) (Figure A,B) and cAMP inhibition
assays (Emax = 61.9%, EC50 =
2.7 nM) (Figure B,C).
The higher efficacy observed in the cAMP assay is likely due to spare
receptors and/or amplification of cAMP accumulation versus recruitment
of β-arrestin. Consistent with a partial agonist profile, 1 and related analogs were partial antagonists when run in
antagonist mode (Figure B,D), blocking function to a similar degree as their maximal agonist
activity. This would be expected for a compound that is a partial
agonist that maintains affinity for the orthosteric part of the receptor,
thereby acting as a partial antagonist in antagonist assays. Importantly, 1 showed no measurable agonist response on D2R-mediated
β-arrestin recruitment but behaved as a low affinity full antagonist
(Figure E). Furthermore, 1 has very low potency and efficacy at the D3R
(Figure F). Complete
functional results are presented in Tables and 3. These data
indicate that 1 is a potent and highly selective partial
agonist at the D4R.
Table 1
Human Dopamine D2-like
Receptor Binding Data in HEK293 Membranes for Ligands with Varying
Arylpiperazine and Arylamide Moietiesa
Ki values
determined by competitive inhibition of [3H]N-methylspiperone or [3H]-(R)-(+)-7-OH-DPAT
binding in membranes harvested from HEK293 cells stably expressing
hD2R, hD3R, or hD4R. All Ki values are presented as means ± SEM.
Figure 3
Compounds 10 (red) and 21 (gray) show
similar pharmacology to parent compound 1 (black). D4R-expressing stable cells lines were plated and compounds
were assayed for agonist (A) and antagonist (B) activity on β-arrestin
recruitment. Similarly, D4R-mediated inhibition of cAMP
accumulation was also examined in both agonist (C), and antagonist
(D) modes, as indicated. Assays were conducted as described in the Experimental Methods; briefly, agonist assays were
conducted by incubating the cells with the indicated concentration
of test compound and measuring luminescence. Antagonist assays were
conducted by incubating the compound with an EC80 concentration
of dopamine (1 μM for β-arrestin and 10 nM in cAMP) and
the indicated concentration of the test compound. For cAMP assays,
cells were first stimulated with 10 μM forskolin. Agonist mode
assays are expressed as a percentage of the maximum dopamine response,
whereas antagonist mode assays are expressed as a percentage of dopamine’s
EC80 response. Emax and EC50 values are shown in Tables and 3. Data were fit using
nonlinear regression of individual experiments performed in triplicate
and are shown as means ± SEM; n = 3. Dopamine
and sulpiride were run during each assay as positive controls for
a full agonist and full antagonist respectively (data not shown).
Compounds were also tested for both agonist and antagonist activity
on cells stably expressing the closely related D2R (E)
or D3R (F). Assays were conducted as described in the Experimental Methods. Agonist mode assays (open
symbols) are expressed as a percentage of the maximum dopamine response
observed for each receptor, whereas antagonist mode assays (solid
symbols) are expressed as a percentage of dopamine’s EC80 response. Emax and EC50 values are shown in Tables and 3. Data were fit using nonlinear
regression of individual experiments performed in triplicate and are
shown as means ± SEM; n = 3.
Table 2
Efficacy as Measured
via Modulation
of cAMP Accumulationa
D2R efficacy
D4R efficacy
EC50
IC50
compound
cAMP Emax %b
cAMP EC50(nM)
cAMP Ant. %c
cAMP IC50(nM)
cAMP Emax %b
cAMP
EC50(nM)
cAMP Ant. %c
cAMP IC50(nM)
D2R/D4R
D2R/D4R
1
inactive
inactive
ND
>50000
61.9
± 4.7
2.7 +
0.9
53.8 ± 6.0
68.4 ± 32.8
ND
>735
6
inactive
inactive
100 + 0.00
16447 + 3540
32.9 ± 3.9
15.4 ± 13.2
46.7 ± 6.0
2.0 ± 0.05
ND
8224
7
inactive
inactive
100 ± 0
44834 ± 28125
inactive
inactive
95.8 ± 2.2
3064 ± 1220
ND
15
8
inactive
inactive
97.5 ± 2.5
71437 ± 28563
inactive
inactive
100 ± 0
70157 ± 20766
ND
1.0
9
inactive
inactive
100 ± 0
71065 ± 20 585
inactive
inactive
100 ± 0
453 ± 15
ND
157
10
18.96
± 5.2
763 ±
386
ND
>100000
64.2 ± 5.7
3.6 ± 1.3
43.2 ± 1.8
82.7 ± 37.9
214
>1210
11
54.4 ± 7.5
2092 ± 46
ND
>100000
64.6 ± 4.2
3.4 + 2.0
45.0 ± 7.7
463 ± 157
612
>216
15
83.1 ± 4.2
50.1 ± 25
ND
>100000
28.1 ± 1.6
349 ± 75
77.6 ± 5.2
6343 ± 2524
0.14
>16
16
79.7 ± 8.4
154 ± 31
ND
>100000
30.0 ± 2.1
612 ± 563
84.2 ± 6.0
1629 ± 255
0.25
>61
17
inactive
inactive
ND
>100000
13.7 ± 1.2
568 ± 456
87.0 ± 3.4
2120 ± 534
ND
>47
12
inactive
inactive
98.3 ± 1.7
66077 ± 18646
inactive
inactive
93.4 ± 2.6
4701 ± 1466
ND
14
13
inactive
inactive
100 ± 0
68329 ± 31671
27.8 ± 8.4
108.5 ± 94.3
73.8 ± 13.6
2521 ± 1067
ND
27
20
inactive
inactive
96.6 ± 3.5
16278 ± 11601
25.6 ± 7.2
539 ± 151
70.8 ± 15
1908 ± 242
ND
9
21
18.80
± 8.19
1600
± 396
88 ±
6.1
40466 ±
29968
58.0 ±
1.8
28.7 ± 9.9
58.4 ± 9.7
1311 ± 814
56
31
22
inactive
inactive
100 ± 0
46795 ± 27644
inactive
inactive
100 ± 0
7059 ± 1136
ND
7
25
38.6 ±
3
1965 ± 44
100 ± 0
>100000
47.3 ± 7.9
1075 ± 390
100 ± 0
86493 ± 3130
2.0
>1.1
26
inactive
inactive
100 ± 0
86617 ± 13383
inactive
inactive
100 ± 0
40000 ±
9421
ND
2
27
inactive
inactive
98.1 ± 1.5
94255 ± 5745
inactive
inactive
100 ± 0
>100000
ND
<1
28
inactive
inactive
76.2 ± 17.6
72516 ± 18052
inactive
inactive
100 ± 0
>100000
ND
<1
Values determined by nonlinear regression
of individual experiments run in triplicate as detailed in materials
and methods under cAMP accumulation assays. All EC50, IC50, and Emax values are presented
as means ± SEM; n = 3–4. ND indicates
not determined due to an incomplete curve. Inactive indicates no measurable
activity in indicated assay.
A measure of agonism as defined
by the maximum inhibition of cAMP observed for each compound.
A measure of antagonism as defined
by the maximum blockade of dopamine mediated cAMP inhibition by each
compound.
Table 3
Efficacy
as Measured via Modulation
of β-Arrestin Recruitmenta
D2R efficacy
D3R efficacy
D4R efficacy
EC50
IC50
compound
β-arr Emax
β-arr EC50(nM)
β-arr Ant. %
β-arr IC50
β-arr Emax
β-arr EC50(nM)
β-arr Ant. %
β-arr IC50
β-arr Emax
β-arr EC50(nM)
β-arr Ant. %
β-arr IC50
D2R/D4R
D3R/D4R
D2R/D4R
D3R/D4R
1
inactive
inactive
94.8 ± 2.8
5846 ± 1802
ND
>100000
ND
>100000
22.5 ± 3.98
473 ± 457
81.7 ± 2.7
191 ± 98
ND
>4
31
>524
6
inactive
inactive
99.7 ± 0.3
7692 ± 2301
inactive
inactive
ND
>50000
14 ±
0.3
242 ± 89
93.3 ± 1.8
135 ± 65
ND
ND
57
>371
7
inactive
inactive
100 ± 0
89153 ± 10847
inactive
inactive
inactive
inactive
inactive
inactive
100 ± 0
7352 ± 1749
ND
ND
12
ND
8
inactive
inactive
100 ± 0
>100000
inactive
inactive
inactive
inactive
inactive
inactive
100 ± 0
42357 ± 30018
ND
ND
>2
ND
9
inactive
inactive
100 ± 0
>100000
inactive
inactive
inactive
inactive
inactive
inactive
98.1 ± 2
394 ± 78
ND
ND
>254
ND
10
23.9 ± 5.1
26175 ± 12448
76.5 ± 6.9
16010 ± 5174
49.4 ± 2.0
6354 ± 2617
inactive
>100000
30.7 ± 6.4
394 ± 294
78.9 ± 3.1
313 ± 215
66
>16
51
>320
11
39.6 ± 5.3
8321 ± 3455
78.9 ± 8.6
25008 ± 5017
58.4 ± 6.6
5581 ± 1614
inactive
>100000
24.7 ± 5
278 ± 167
80.6 ± 3.0
197 ± 115
30
>20
127
>509
15
48.9 ± 6.8
2480 ± 1834
72.1 ± 7.9
7627 ± 1573
55.4 ± 1.57
970 ± 115
ND
>50000
inactive
inactive
98.7 ± 1.0
3805 ± 2944
12
>5
2.0
>26
16
44.1 ± 6.3
1455 ± 572
77.7 ± 3.7
7067 ± 2290
41.4 ± 5.83
1601 ± 867
ND
>50000
inactive
inactive
97.9 ± 1.2
1086 ± 597
ND
>1
7.0
>46
17
inactive
inactive
94.6 ± 5.4
11847 ± 2000
inactive
inactive
ND
>50000
inactive
inactive
97.1 ± 0.8
430 ± 195
ND
ND
28
>116
12
inactive
inactive
100 ± 0
>100 000
inactive
inactive
inactive
inactive
inactive
inactive
100 ± 0
7777 ± 2166
ND
ND
>13
ND
13
inactive
inactive
100 ± 0
>100 000
inactive
inactive
inactive
inactive
16.4 ± 3.9
9212 ± 6238
96.7 ± 2.7
4252 ± 1077
ND
ND
>24
ND
20
inactive
inactive
100 ± 0
67613 ± 17748
inactive
inactive
inactive
inactive
inactive
inactive
91.7 ± 6.8
2622 ± 678
ND
ND
26
ND
21
18.7 ± 0.4
3887 ± 1878
100 ± 0
88447 ± 11553
44.7 ± 5.9
2755 ± 472
100 ± 0
88 205 ± 9631
26.2 ± 5.1
133 ± 60.3
59.7 ± 4.6
370 ± 105
29
21
239
238
22
inactive
inactive
100 ± 0
70703 ± 29297
inactive
inactive
inactive
inactive
inactive
inactive
80.4 ± 6.0
10449 ± 2482
ND
ND
6.8
ND
25
21.3 ± 6.8
48503 ± 27571
inactive
inactive
18.6 ± 2.7
2802 ± 2507
inactive
inactive
19.0 ± 2.7
2657 ± 121
100 ± 0
25780 ± 9773
18
1.0
ND
ND
26
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
93.1 ± 7
23450 ± 11959
ND
ND
ND
ND
27
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
ND
ND
ND
ND
28
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
inactive
100 ± 0
>100000
ND
ND
ND
ND
Values
determined by nonlinear regression
of individual experiments run in triplicate as detailed in materials
and methods under β-arrestin assays. All EC50, IC50, and Emax values are presented
as means ± SEM; n = 3–4. ND indicates
not determined due to an incomplete curve. Inactive indicates no measurable
activity in indicated assay.
Compounds 10 (red) and 21 (gray) show
similar pharmacology to parent compound 1 (black). D4R-expressing stable cells lines were plated and compounds
were assayed for agonist (A) and antagonist (B) activity on β-arrestin
recruitment. Similarly, D4R-mediated inhibition of cAMP
accumulation was also examined in both agonist (C), and antagonist
(D) modes, as indicated. Assays were conducted as described in the Experimental Methods; briefly, agonist assays were
conducted by incubating the cells with the indicated concentration
of test compound and measuring luminescence. Antagonist assays were
conducted by incubating the compound with an EC80 concentration
of dopamine (1 μM for β-arrestin and 10 nM in cAMP) and
the indicated concentration of the test compound. For cAMP assays,
cells were first stimulated with 10 μM forskolin. Agonist mode
assays are expressed as a percentage of the maximum dopamine response,
whereas antagonist mode assays are expressed as a percentage of dopamine’s
EC80 response. Emax and EC50 values are shown in Tables and 3. Data were fit using
nonlinear regression of individual experiments performed in triplicate
and are shown as means ± SEM; n = 3. Dopamine
and sulpiride were run during each assay as positive controls for
a full agonist and full antagonist respectively (data not shown).
Compounds were also tested for both agonist and antagonist activity
on cells stably expressing the closely related D2R (E)
or D3R (F). Assays were conducted as described in the Experimental Methods. Agonist mode assays (open
symbols) are expressed as a percentage of the maximum dopamine response
observed for each receptor, whereas antagonist mode assays (solid
symbols) are expressed as a percentage of dopamine’s EC80 response. Emax and EC50 values are shown in Tables and 3. Data were fit using nonlinear
regression of individual experiments performed in triplicate and are
shown as means ± SEM; n = 3.Ki values
determined by competitive inhibition of [3H]N-methylspiperone or [3H]-(R)-(+)-7-OH-DPAT
binding in membranes harvested from HEK293 cells stably expressing
hD2R, hD3R, or hD4R. All Ki values are presented as means ± SEM.Values determined by nonlinear regression
of individual experiments run in triplicate as detailed in materials
and methods under cAMP accumulation assays. All EC50, IC50, and Emax values are presented
as means ± SEM; n = 3–4. ND indicates
not determined due to an incomplete curve. Inactive indicates no measurable
activity in indicated assay.A measure of agonism as defined
by the maximum inhibition of cAMP observed for each compound.A measure of antagonism as defined
by the maximum blockade of dopamine mediated cAMP inhibition by each
compound.Values
determined by nonlinear regression
of individual experiments run in triplicate as detailed in materials
and methods under β-arrestin assays. All EC50, IC50, and Emax values are presented
as means ± SEM; n = 3–4. ND indicates
not determined due to an incomplete curve. Inactive indicates no measurable
activity in indicated assay.Replacing the piperidinyl ring of 1 with a piperazine
(Figure , class 1)—typified
by 10 and 21—resulted in similar
binding and agonist efficacy profiles at D4R, improved
subtype selectivity (Tables and 2), and a gain in efficacy at
both D2R and D3R (Figure and Tables and 3). Replacing the pyridinyl
ring of 1 with a phenyl or napthyl moiety (Figure , class 2)—typified
by 6 and 13—resulted in improved
subtype selectivity, and importantly a diminished-efficacy partial
agonist profile at D4R. These compounds showed no measurable
agonist efficacy at either D2R or D3Rs (Figure ). A para-substitution
on the pyridinyl ring of 1 (Figure , class 3)—typified by 12 and 9—resulted in compounds that lost all agonist
efficacy but retained high-affinity binding at D4R, with
very minimal binding at D2R or D3R. The compounds
showed potent antagonism of the D4R response with minimal
low potency D2R blockade and no measurable affinity or
efficacy at D3R. Therefore, this class of compounds represents
highly selective D4R antagonists with no measurable agonist
efficacy on any D2-like receptor (Figure , Tables –3).
Figure 4
Compounds 13 (yellow) and 6 (blue) show
diminished agonist activity at the D4R compared to parent
compound 1 (black). D4R-expressing stable
cells lines were plated and compounds were assayed for agonist (A)
and antagonist (B) activity on β-arrestin recruitment. Similarly,
D4R-mediated inhibition of cAMP accumulation was also examined
in both agonist (C), and antagonist (D) modes, as indicated. Assays
were conducted as described in the Experimental Methods; briefly, agonist assays were conducted by incubating the cells
with the indicated concentration of test compound and measuring luminescence.
Antagonist assays were conducted by incubating the compound with an
EC80 concentration of dopamine (1 μM for β-arrestin
and 10 nM in cAMP) and the indicated concentration of test compound.
For cAMP assays, cells were first stimulated with 10 μM forskolin.
Agonist mode assays are expressed as a percentage of the maximum dopamine
response, whereas antagonist mode assays are expressed as a percentage
of dopamine’s EC80 response. Emax and EC50 values are shown in Tables and 3. Dopamine and sulpiride were run during each assay as positive controls
for a full agonist and full antagonist, respectively (data not shown).
Data were fit using nonlinear regression of individual experiments
performed in triplicate and are shown as means ± SEM; n = 3.
Figure 5
Compounds 12 (green) and 9 (purple) are
full antagonists at the D4R. D4R-expressing
stable cells lines were plated and compounds were assayed for agonist
(A) and antagonist (B) activity on β-arrestin recruitment. Similarly,
D4R-mediated inhibition of cAMP accumulation was also examined
in both agonist (C), and antagonist (D) modes, as indicated. Assays
were conducted as described in the Experimental Methods; briefly, agonist assays were conducted by incubating the cells
with the indicated concentration of test compound and measuring luminescence.
Antagonist assays were conducted by incubating the compound with an
EC80 concentration of dopamine (1 μM for β-arrestin
and 10 nM in cAMP) and the indicated concentration of test compound.
For cAMP assays, cells were first stimulated with 10 μM forskolin.
Assays were conducted as described in the Experimental
Methods. Agonist mode assays are expressed as a percentage
of the maximum dopamine response, whereas antagonist mode assays are
expressed as a percentage of dopamine’s EC80 (1
μM in β-arrestin and 10 nM in cAMP) response. Emax and EC50 values are shown in Tables and 3. Dopamine and sulpiride were run during each assay as positive
controls for a full agonist and full antagonist respectively (data
not shown). Data were fit using nonlinear regression of individual
experiments performed in triplicate and are shown as means ±
SEM; n = 3.
Compounds 13 (yellow) and 6 (blue) show
diminished agonist activity at the D4R compared to parent
compound 1 (black). D4R-expressing stable
cells lines were plated and compounds were assayed for agonist (A)
and antagonist (B) activity on β-arrestin recruitment. Similarly,
D4R-mediated inhibition of cAMP accumulation was also examined
in both agonist (C), and antagonist (D) modes, as indicated. Assays
were conducted as described in the Experimental Methods; briefly, agonist assays were conducted by incubating the cells
with the indicated concentration of test compound and measuring luminescence.
Antagonist assays were conducted by incubating the compound with an
EC80 concentration of dopamine (1 μM for β-arrestin
and 10 nM in cAMP) and the indicated concentration of test compound.
For cAMP assays, cells were first stimulated with 10 μM forskolin.
Agonist mode assays are expressed as a percentage of the maximum dopamine
response, whereas antagonist mode assays are expressed as a percentage
of dopamine’s EC80 response. Emax and EC50 values are shown in Tables and 3. Dopamine and sulpiride were run during each assay as positive controls
for a full agonist and full antagonist, respectively (data not shown).
Data were fit using nonlinear regression of individual experiments
performed in triplicate and are shown as means ± SEM; n = 3.Compounds 12 (green) and 9 (purple) are
full antagonists at the D4R. D4R-expressing
stable cells lines were plated and compounds were assayed for agonist
(A) and antagonist (B) activity on β-arrestin recruitment. Similarly,
D4R-mediated inhibition of cAMP accumulation was also examined
in both agonist (C), and antagonist (D) modes, as indicated. Assays
were conducted as described in the Experimental Methods; briefly, agonist assays were conducted by incubating the cells
with the indicated concentration of test compound and measuring luminescence.
Antagonist assays were conducted by incubating the compound with an
EC80 concentration of dopamine (1 μM for β-arrestin
and 10 nM in cAMP) and the indicated concentration of test compound.
For cAMP assays, cells were first stimulated with 10 μM forskolin.
Assays were conducted as described in the Experimental
Methods. Agonist mode assays are expressed as a percentage
of the maximum dopamine response, whereas antagonist mode assays are
expressed as a percentage of dopamine’s EC80 (1
μM in β-arrestin and 10 nM in cAMP) response. Emax and EC50 values are shown in Tables and 3. Dopamine and sulpiride were run during each assay as positive
controls for a full agonist and full antagonist respectively (data
not shown). Data were fit using nonlinear regression of individual
experiments performed in triplicate and are shown as means ±
SEM; n = 3.Individual compounds within classes 1–3 resulted in
modest
changes to overall efficacy and potency as overviewed in Tables –3. For this reason, we chose to focus on typified
examples of a range of agonist efficacy (higher, medium, and none)
at the D4R. Using these classes, we performed MD simulations
to identify interaction sites on the receptor that may play a pivotal
role in engendering agonist selectivity and efficacy.
MD Studies
To gain insights on probable ligand interactions
at D4R, a set of seven ligands from the parent compound
and the three class of modifications (i.e., 1, 6, 9, 10, 12, 13, and 21) were docked to the crystal structures
of D2R,[26] D3R,[25] and D4R.[24] Each receptor–ligand combination was subjected to 100 ns
MD simulations, followed by the simulation interaction diagram (SID)
and clustering analysis as described in the Experimental
Methods section. The results are included in the Supporting Information (Tables S2–S4 and
Figures S2–S39). Comparisons of structural and dynamic properties
of each ligand–receptor system, with reference to the parent
compound 1 for each receptor system, are listed in Table S1. Although the same class modifications
caused similar changes in the majority of the analyzed properties,
some subtle differences are also identified. A representative ligand–receptor
system from each class modification is presented here.In order
to explore class 1 modifications that showed a gain of efficacy at
D2R and D3R with minimal changes in D4R binding or efficacy, 10 was selected to be presented
here along with parent compound 1. The comparative ligand
binding at of 10 D2R (Figure ) and D3R (Figure ) revealed that the modest ligand change—the
substitution of a piperazine for a piperidine—induced a dramatic
shift in the binding orientation at D2R and D3R: compared to the parent compound 1, 10 took on a rotated orientation in both receptors, in which the arylamide
portion of the 10 occupies a region of the binding pocket
that accommodates the 2-(piperidin-4-yl)pyridinyl portion of 1. This pose allows 10 to better engage with
the conserved transmembrane (TM) 3 aspartate residue (D3.32) located within the orthosteric binding pocket of biogenic amine
receptors like dopaminergic receptors.[32] Additionally, there was new engagement with conserved V2.61, and additional TM5 and TM6 helix shifts in both receptors. In contrast,
the binding orientation of 10 at D4R is similar
to that of 1 (Figure S7),
although a shift in the orientation of the pyridinylpiperidine ring
system deeper into the receptor was observed. 21 docked
similarly to 10 at D2R and at D4R (i.e., rotated 180° in comparison to 1), but
differed at D3R in which the pose was similar to that of 1, possibly indicating a different activation mechanism for
D3R by this compound.
Figure 6
1 and 10 docked
at D2R. (A–D)
Comparative alignment of 1 (red ligand, yellow TM domains)
and 10 (blue ligand, purple TM domains) following MD
simulations of the D2R (PDB: 6CM4(26)). (E–H)
Analysis of ligand interactions with specific side chains of 1 (E,G) and 10 (F,H). Although the structural
difference between 1 and 10 is only a piperidine
vs a piperazine ring, this drives a dramatic shift in ligand orientation
in which 10 is “flipped” and rotated by
180° about its longitudinal axis, with its pyridine ring deepest
in the binding pocket. This allows the basic nitrogen of the neighboring
piperazine ring to engage the conserved aspartate in TM3, a common
feature of dopaminergic agonists.
Figure 7
1 and 10 docked at D3R. (A–D)
Comparative alignment of 1 (red ligand, yellow TM domains)
and 10 (blue ligand, purple TM domains) following MD
simulations of the D3R (PDB: 3PBL(25)). (E–H)
Analysis of ligand interactions with specific side chains of 1 (E,G) and 10 (F,H). As seen in the D2R model, 10 is also “flipped” and rotated
by 180° about its longitudinal axis in the binding pocket at
D3R compared to 1. This allows for a different
set of hydrophobic interactions and the engagement of the basic nitrogen
of the piperazine ring to with the conserved aspartate in TM3.
1 and 10 docked
at D2R. (A–D)
Comparative alignment of 1 (red ligand, yellow TM domains)
and 10 (blue ligand, purple TM domains) following MD
simulations of the D2R (PDB: 6CM4(26)). (E–H)
Analysis of ligand interactions with specific side chains of 1 (E,G) and 10 (F,H). Although the structural
difference between 1 and 10 is only a piperidine
vs a piperazine ring, this drives a dramatic shift in ligand orientation
in which 10 is “flipped” and rotated by
180° about its longitudinal axis, with its pyridine ring deepest
in the binding pocket. This allows the basic nitrogen of the neighboring
piperazine ring to engage the conserved aspartate in TM3, a common
feature of dopaminergic agonists.1 and 10 docked at D3R. (A–D)
Comparative alignment of 1 (red ligand, yellow TM domains)
and 10 (blue ligand, purple TM domains) following MD
simulations of the D3R (PDB: 3PBL(25)). (E–H)
Analysis of ligand interactions with specific side chains of 1 (E,G) and 10 (F,H). As seen in the D2R model, 10 is also “flipped” and rotated
by 180° about its longitudinal axis in the binding pocket at
D3R compared to 1. This allows for a different
set of hydrophobic interactions and the engagement of the basic nitrogen
of the piperazine ring to with the conserved aspartate in TM3.13 (Figure ), representing class 2 modifications
that showed a partial
loss of efficacy at D4R, and 9 (Figure ), representing class 3 modifications
that showed a complete loss of efficacy at D4R, are shown
in models of D4R alongside the parent compound 1. 13 uniquely engaged with S2.64, E2.65, and T7.39, and induced conformational shifts in several
TM domains and intra/extracellular loops. 9 showed grater
engagement with ECL2 and uniquely interacted with C3.25 and W6.48. Whereas 13 adopted a pose similar
to 1, 9 adopted a rotated orientation in
which the arylamide portion of the 9 occupies a region
of the binding pocket that accommodates the 2-(piperidin-4-yl)pyridinyl
portion of 1 (Table S1). The
results seen in these two comparisons are consistent with previous
observations in which regiosubstitutions on an aryl ring of a terminal
arylpiperazine can modulate efficacy at D4R.[33,34] In particular, the inclusion of a para substitution on the terminal
arylpiperazine has reliably produced D4R antagonists for
a wide variety of molecules with diverse substituents on the secondary
pharmacophore.
Figure 8
1 and 13 docked at D4R. (A–D)
Comparative alignment of 1 (red ligand, yellow TM domains)
and 13 (blue ligand, purple TM domains) following MD
simulations of the D4R (PDB: 5WIU(24)). (E–H)
Analysis of ligand interactions with specific side chains of 1 (E,G) and 13 (F,H). The bulky napthyl ring
of 13 shifts the overall fit within the extended binding
pocket, partially disrupting the engagement of the basic nitrogen
of the piperazine ring to with the conserved aspartate in TM3.
Figure 9
1 and 9 docked at
D4R. (A–D)
Comparative alignment of 1 (red ligand, yellow TM domains)
and 9 (blue ligand, purple TM domains) following MD simulations
of the D4R (PDB: 5WIU(24)). (E–H) Analysis
of ligand interactions with specific side chains of 1 (E,G) and 9 (F,H). The inclusion of a single para substitution
on the pyridine ring of 9 induces a “flipped”
orientation of the ligand, in which the binding pose is rotated by
180° about its longitudinal axis, with its pyridine ring deepest
in the binding pocket driving the arylamide into a deeper binding
position.
1 and 13 docked at D4R. (A–D)
Comparative alignment of 1 (red ligand, yellow TM domains)
and 13 (blue ligand, purple TM domains) following MD
simulations of the D4R (PDB: 5WIU(24)). (E–H)
Analysis of ligand interactions with specific side chains of 1 (E,G) and 13 (F,H). The bulky napthyl ring
of 13 shifts the overall fit within the extended binding
pocket, partially disrupting the engagement of the basic nitrogen
of the piperazine ring to with the conserved aspartate in TM3.1 and 9 docked at
D4R. (A–D)
Comparative alignment of 1 (red ligand, yellow TM domains)
and 9 (blue ligand, purple TM domains) following MD simulations
of the D4R (PDB: 5WIU(24)). (E–H) Analysis
of ligand interactions with specific side chains of 1 (E,G) and 9 (F,H). The inclusion of a single para substitution
on the pyridine ring of 9 induces a “flipped”
orientation of the ligand, in which the binding pose is rotated by
180° about its longitudinal axis, with its pyridine ring deepest
in the binding pocket driving the arylamide into a deeper binding
position.
Conclusions
Evidence
from human genetic studies and animal models suggest that
D4R signaling may mediate behavioral traits including impulsivity,[35] novelty seeking,[35−38] fear and anxiety,[39,40] and sensitivity to drugs of abuse.[40−43] While modulation of postsynaptic
D4R expression in the PFC is typically hypothesized to
mediate the reported in vivo effects of D4R agonists and
antagonists, evidence suggests important roles of D4R expression
in the nucleus accumbens shell[44] and within
the lateral habenula,[45] in which the receptor
may be preferentially activated by norepinephrine rather than dopamine.[46,47] Furthermore, little is known about the physiological relevance of
independent D4R-mediated signaling pathways (e.g., cAMP
and β-arrestin) in the manifestation of behavioral outputs.
A recent report identified a D4R-selective compound containing
an unsubstituted phenylpiperazine that potently and partially activated
Gαi but inhibited β-arrestin2 recruitment and
identified likely ligand–residue interactions that affect receptor
activation states.[48] There is much left
to be determined about the physiological role of D4R signaling
in modulating attention and cognitive processes, and new selective
agonists and antagonists of these receptors will be valuable tools
for deduction of signaling importance by these receptors.New
highly selective D4R partial agonists and antagonists
will be useful to better characterize the role of D4R signaling
in vivo. While we have primarily focused on selectivity against the
very closely related D2R and D3R, it will be
important to establish global selectivity of these compounds for in
vivo experimentation through a broader screening of biogenic amine
receptors. To this end, we investigated a subset of these compounds
on the related D1-like DARs. None of the tested compounds
showed any measurable agonist or antagonist effect at either the D1R or D5R (Figure S1).
Comprehensive binding and functional studies, in concert with detailed
molecular modeling analyses using newly published crystal structures,
provides a platform for developing high-affinity and highly subtype
selective ligands of varying efficacies. This study aimed to identify
key molecular interactions that dictate D4R potency, efficacy,
and subtype selectivity.The parent compound, 1, was confirmed to be a high-affinity
(low nM Ki value) partial agonist (Emax = 23–62%) at D4R. Illustrative
of broader trends from our library, the compound Ki values for all D2-like receptors determined
using [3H]-(R)-(+)-7-OH-DPAT competition
assays tended to be lower (more potent) than those obtained using
[3H]N-methylspiperone. As expected, the
divergence between these values increased with agonist efficacy, consistent
with previous experience regarding agonist versus antagonist radioligands.[30]Key modifications to the 1 pharmacophore provided
modest gains to D4R affinity, but dramatic gains in selectivity
over D2R and D3R, likely because of a substantial
decrease in D2R and D3R engagement by the analogs.
Interestingly, the manner of these substitutions produced three classes
of lead compound: (1) those with binding and efficacy profiles similar
to 1 at D4R but gains in efficacy at D2R and D3R; (2) those with improved D4R binding and subtype selectivity with lower partial agonist efficacy;
and (3) those with improved D4R binding and subtype selectivity
with full antagonist characteristics. MD simulations suggest that
the gain in D2R and D3R efficacy seen in compounds
like 10 could be partially due to achieving a rotated
ligand pose that more fully engages the conserved TM3 aspartate. Similarly,
the complete shift to antagonism at D4R seen in compounds
like 9 could be partially due to inducing an alternate
binding pose that either no longer allows full engagement of the orthosteric
binding site and occupation of an alternative secondary binding pocket
or a ligand-dependent alteration of the receptor energy landscape
leading to the stabilization of a different receptor conformation.These molecular models provide testable predictions relative to
the unique interaction sites of these diverse compounds within the
D4R. These interactions likely underlie agonist efficacy
of a given compound. Interestingly, compounds can be “rank
ordered” by levels of agonist efficacy starting with 1 having the highest D4R activation, followed by
class 1 compounds (which show similar agonist efficacy) and then class
2 compounds (which show less agonist efficacy) and class 3 compounds
that lack any agonist efficacy. As expected, these compounds align
the opposite way for antagonist efficacy, wherein a lower agonist
efficacy correlates with a higher antagonist efficacy. Examined this
way, one can see that it may be possible to “dial-in”
or “dial-out” levels of D4R stimulation via
adjusting compound structure, and therefore interaction sites on the
receptor, leading to divergent levels of partial agonism. Future studies
will involve further SAR and receptor mutagenesis studies to verify
these models. We are optimistic that some of the analogues may be
developed into useful in vivo research tools and plan to examine absorption,
distribution, metabolism, and excretion characteristics of selected
analogues. It is interesting to speculate that a collection of partial
agonists with varying efficacies may allow for the fine-tuning of
D4R activation, potentially leading to a fuller understanding
of functional consequences of varying signaling levels for D4R-targeted therapeutics for neuropsychiatric disorders.
Experimental Methods
Synthesis
Reaction conditions and
yields were not optimized.
Anhydrous solvents were purchased from Aldrich and were used without
further purification. All other chemicals and reagents were purchased
from Sigma-Aldrich Co. LLC, Combi-Blocks, TCI America, OChem Incorporation,
Acros Organics, and Alfa Aesar. All amine final products were converted
into either the oxalate or hydrochloride salt. Spectroscopic data
and yields refer to the free base form of compounds. Flash chromatography
was performed using silica gel (EMD Chemicals, Inc.; 230–400
mesh, 60 Å) by using a Teledyne ISCO CombiFlash RF system. 1H NMR spectra were acquired using a Varian Mercury Plus 400
spectrometer at 400 MHz. Chemical shifts are reported in parts-per-million
and referenced according to deuterated solvent for 1H spectra
(CDCl3, 7.26, CD3OD, 3.31 or D2O,
4.79). Combustion analysis was performed by Atlantic Microlab, Inc.,
(Norcross, GA), and the results agree within ±0.4% of calculated
values (Table S5). Melting point determination
was conducted using a Stanford Research Systems OptiMelt automated
melting point apparatus and are uncorrected. On the basis of NMR and
combustion data, all final compounds are >95% pure. All compounds
within this series are covered under an existing patent,[49] but only 1,[21,22]6,[22] and 10(16,21) have been previously described in the peer-reviewed
literature.
General Method A
2-Chloro-N-(m-tolyl)acetamide
(5)[21,27,28]
2-Chloroacetyl chloride (1.16 g, 10.3 mmol) was added to
a solution of m-toluidine (1.00 mL, 9.33 mmol) in
ethyl acetate (30 mL) and triethylamine (1.43 mL, 10.3 mmol) at 0
°C. The reaction mixture was allowed to warm to room temperature
and stirred overnight under a N2 atmosphere. After the
reaction was complete, the solvent was removed in vacuo. The crude
mixture was diluted with water (100 mL) and EtOAc (100 mL) and then
extracted with EtOAc (3 × 100 mL) and washed with brine (100
mL). The combined organic layer was dried over MgSO4, filtered,
and concentrated. The product was purified by column chromatography
(10–90% EtOAc/hexanes gradient) to give 5 (1.30
g, 76% yield) as an off-white solid. 1H NMR (CDCl3): δ 8.19 (s, 1H), 7.38–7.33 (m, 1H), 7.26–7.22
(m, 1H), 6.99 (d, J = 7.6 Hz, 1H), 4.18 (s, 2H),
2.36 (s, 3H).
K2CO3 (2.57 g, 18.6 mmol) and NaI
(50 mg) were added
to a solution of 2-chloro-N-(m-tolyl)acetamide
(570 mg, 3.10 mmol) and commercially available 4-phenylpiperidine
(500 mg, 3.10 mmol) in an anhydrous acetonitrile (12 mL) solution.
The reaction mixture was stirred at reflux (80 °C) for 20 h under
a N2 atmosphere. The reaction mixture was cooled to room
temperature, and the solvent was removed in vacuo. The residue was
diluted with water (100 mL) and EtOAc (100 mL) and then extracted
with EtOAc (3 × 100 mL) and washed with brine (100 mL). The combined
organic layer was dried over MgSO4, filtered, and concentrated.
The crude product was purified by column chromatography (10–90%
EtOAc/hexanes gradient) to give pure product 6 (710 mg,
74% yield) as an off-white solid. mp 70–71 °C; 1H NMR (CDCl3): δ 9.15 (s, 1H), 7.42–7.40
(m, 2H), 7.38–7.31 (m, 2H), 7.24–7.20 (m, 4H), 6.93
(d, J = 7.2 Hz, 1H), 3.15 (s, 2H), 3.10–3.02
(m, 2H), 2.59–2.52 (m, 1H), 2.43–2.38 (m, 2H), 2.36
(s, 3H), 1.94–1.90 (m, 4H). Anal. (C20H24N2O·HCl·1/4H2O) C, H, N.
Compound 13 was synthesized as
described for 6 using K2CO3 (2.62
g, 18.9 mmol), NaI (50.0
mg), 1-(naphthalen-1-yl)piperazine[29] (670
mg, 3.16 mmol), and 2-chloro-N-(m-tolyl)acetamide (580 mg, 3.16 mmol) in an anhydrous acetonitrile
(6 mL) solution. The crude product was purified by column chromatography
(40–60% EtOAc/hexanes gradient) to give pure product 13 (546 mg, 48% yield) as a brown oil; 1H NMR (400
MHz, CDCl3): δ 9.17 (s, 1H), 8.20 (d, J = 7.5 Hz, 1H), 7.85 (s, 1H), 7.60 (d, J = 8.2 Hz,
1H), 7.55–7.47 (m, 2H), 7.43 (d, J = 11.4
Hz, 3H), 7.24 (d, J = 8.4 Hz, 1H), 7.15 (d, J = 7.3 Hz, 1H), 6.96 (d, J = 7.4 Hz, 1H),
3.34–3.27 (m, 2H), 3.23 (br s, 4H), 2.95 (br s, 4H), 2.38 (s,
3H). Anal. (C23H25N3O·2HCl)
C, H, N.
3-Chloro-N-(m-tolyl)propanamide
(14)
Compound 14 was synthesized
as described for 5 by adding 3-chloropropanoyl chloride
(1.30 g, 10.3 mmol) to a solution of m-toluidine
(1 mL, 9.33 mmol) in ethyl acetate (30 mL) and triethylamine (1.44
mL). The crude product was purified by column chromatography (20–80%
EtOAc/hexanes gradient) to give compound 14 (1.43 g,
78% yield) as a white solid. 1H NMR (CDCl3):
δ 7.44 (s, 1H), 7.36–7.22 (m, 2H), 6.99 (d, J = 7.4 Hz, 1H), 3.96–3.92 (m, 2H), 2.85 (t, J = 6.3 Hz, 2H), 2.39 (s, 3H).
Compound 22 was synthesized as described for 6 using K2CO3 (1.26 g, 9.12 mmol), 1-(5-chloropyridin-2-yl)piperazine
(300 mg, 1.52 mmol), and 2-chloro-N-(3-ethylphenyl)acetamide
(300 mg, 1.52 mmol) in an anhydrous acetonitrile (6 mL) solution.
The crude product was purified by column chromatography (20–80%
EtOAc/hexanes gradient) to give pure product 22 (480
mg, 88% yield) as a white solid. mp 101–103 °C; 1H NMR (400 MHz, CDCl3): δ 9.03 (s, 1H), 8.11 (s,
1H), 7.46–7.34 (m, 3H), 7.25–7.23 (m, 1H), 6.95 (d, J = 7.5 Hz, 1H), 6.59 (d, J = 8.9 Hz, 1H),
3.57 (t, J = 4.9 Hz, 4H), 3.17 (d, J = 2.7 Hz, 2H), 2.71 (t, J = 4.7 Hz, 4H), 2.61 (t, J = 8.1 Hz, 2H), 1.32–1.13 (m, 3H). Anal. (C19H23ClN4O·2HCl·3/4H2O) C, H, N.
2-Chloro-N-(pyridin-3-yl)acetamide
(24a)
Compound 24a was synthesized
as described
for 5 by adding 2-chloroacetyl chloride (0.71 mL, 17.5
mmol) to a solution of pyridin-3-amine (1.50 g, 16.0 mmol) in ethyl
acetate (25 mL) and triethylamine (0.4 mL). The crude product was
purified by column chromatography (20–80% EtOAc/hexanes gradient)
to give 24a (1.17 g, 43% yield) as a white solid. 1H NMR (400 MHz, D2O): δ 9.37–9.08
(m, 1H), 8.60–8.32 (m, 2H), 8.06–7.87 (m, 1H), 5.67
(s, 2H).
2-Chloro-N-(pyrimidin-5-yl)acetamide
(24b)
Compound 24b was synthesized
as
described for 5 by adding 2-chloroacetyl chloride (0.46
mL, 5.78 mmol) to a solution of pyrimidin-5-amine (500 mg, 5.26 mmol)
in ethyl acetate (10 mL) and triethylamine (0.4 mL). The crude product
was purified by column chromatography (20–80% EtOAc/hexanes
gradient) to give 24b (510 mg, 57% yield) as a brown
solid. 1H NMR (400 MHz, D2O): δ 9.17 (s,
1H), 8.54 (s, 2H), 8.01 (s, 1H), 5.66 (s, 2H).
Compound 28 was synthesized as described for 6 using K2CO3 (866 mg, 6.26 mmol), 1-(5-chloropyridin-2-yl)piperazine
(207 mg, 1.04 mmol), and compound 24b 2-chloro-N-(pyrimidin-5-yl)acetamide (180 mg, 1.04 mmol) in an anhydrous
acetonitrile (6 mL) solution. The crude product was purified by column
chromatography (20–80% EtOAc/hexanes gradient) to give pure
product 28 (157 mg, 45% yield) as a yellowish oil; 1H NMR (400 MHz, CDCl3): δ 9.21 (s, 1H), 9.08–8.98
(m, 3H), 8.15 (d, J = 3.7 Hz, 1H), 7.47 (d, J = 8.9 Hz, 1H), 6.63 (d, J = 9.2 Hz, 1H),
3.62 (br s, 4H), 3.30–3.23 (m, 2H), 2.77 (br s, 4H). Anal.
(C15H17ClN6O·C2H2O4·1.5H2O) C, H, N.
Radioligand
Binding Studies
HEK293 cells stably expressing
human D2LR, D3R, or D4.4R were grown
in a 50:50 mix of Ham’s F12 and Dulbecco’s modified
Eagle’s medium culture media, supplemented with 2 mM l-glutamine, 20 mM N-(2-hydroxyethyl)piperazine-N′-ethanesulfonic acid (HEPES), 0.1 mM non-essential
amino acids, 1× antibiotic/antimycotic, 10% heat-inactivated
fetal bovine serum, and 200 μg/mL hygromycin (Life Technologies,
Grand Island, NY) and grown in an incubator at 37 °C and 5% CO2. Upon reaching 80–90% confluence, cells were harvested
using pre-mixed Earle’s balanced salt solution (EBSS) with
5 mM ethylenediaminetetraacetic acid (EDTA) (Life Technologies) and
centrifuged at 3000 rpm for 10 min at 21 °C. The supernatant
was removed and the cell pellet was resuspended in 10 mL hypotonic
lysis buffer (5 mM Tris, 5 mM MgCl2, pH 7.4 at 4 °C)
and then centrifuged at 20000 rpm for 30 min at 4 °C. The membrane
pellet was resuspended in fresh binding buffer for either [3H]N-methylspiperone (PerkinElmer, Waltham, MA) binding
experiments [fresh EBSS buffer made from 8.7 g/L Earle’s balanced
salts without phenol red (US Biological, Salem, MA), 2.2 g/L sodium
bicarbonate, pH 7.4] or [3H]-(R)-(+)-7-OH-DPAT
(ARC, Saint Louis, MO) binding experiments (50 mM Tris, 10 mM MgCl2, 1 mM EDTA, pH 7.4). A Bradford protein assay (Bio-Rad, Hercules,
CA) was used to determine the protein concentration. Membranes were
used fresh for [3H]-(R)-(+)-7-OH-DPAT
binding experiments or diluted to 500 μg/mL and stored in a
−80 °C freezer for later use in [3H]N-methylspiperone binding experiments.All test compounds
were freshly dissolved in 30% dimethyl sulfoxide (DMSO) and 70% H2O to a stock concentration of 100 μM. To assist the
solubilization of free-base compounds, 10 μL of glacial acetic
acid was added along with the DMSO. Each test compound was then diluted
into half-log serial dilutions and tested in triplicate using the
30% DMSO vehicle. Competitive-inhibition experiments were conducted
in 96-well plates containing 300 μL fresh binding buffer, 50
μL of diluted test compound, 100 μL of membrane suspension
([3H]N-methylspiperone: 20 μg/well
for D2R and D3R, 30 μg/well for D4R; [3H]-(R)-(+)-7-OH-DPAT: 80
μg/well for D2R, 40 μg/well for D3R, 60 μg/well for D4R), and 50 μL of radioligand
diluted in binding buffer ([3H]N-methylspiperone:
0.4 nM final concentration for all receptors; [3H]-(R)-(+)-7-OH-DPAT: 1.5 nM final concentration for D2R, 0.5 nM final concentration for D3R, 3 nM final concentration
for D4R). Aliquots of [3H]N-methylspiperone and [3H]-(R)-(+)-7-OH-DPAT
solution were also quantified accurately to determine how much radioactivity
was added. Nonspecific binding was determined using 10 μM (+)-butaclamol
(Sigma-Aldrich, St. Louis, MO), and total binding was determined with
30% DMSO vehicle. The reaction was incubated for 60 ([3H]N-methylspiperone) or 90 min ([3H]-(R)-(+)-7-OH-DPAT) at room temperature and terminated by
filtration through PerkinElmer UniFilter-96 GF/B plates, presoaked
in 0.5% polyethylenimine, using a Brandel 96-well plate harvester
manifold (Brandel Instruments, Gaithersburg, MD). Filters were washed
three times (∼1 mL/well) with ice cold binding buffer. After
drying, 65 μL PerkinElmer MicroScint 20 scintillation cocktail
was added to each well and filters were counted after at least 18
h of incubation using a PerkinElmer MicroBeta Microplate Counter.
IC50 values for each compound were determined from dose–response
curves and Ki values were calculated using
the Cheng–Prusoff equation in GraphPad Prism 6 (GraphPad Software,
San Diego, CA).[50]Kd values for [3H]N-methylspiperone
and [3H]-(R)-(+)-7-OH-DPAT were determined
via separate homologous competitive binding experiments at each receptor. Ki values for each compound/receptor/radioligand
combination were calculated from at least three independent experiments
and are reported as means ± SEM.
Functional Assays
β-Arrestin
Recruitment Assay
Assays were conducted
with minor modifications as previously published by our laboratory,[31,51−54] using the DiscoverX PathHunter technology (DiscoverX, Inc., Fremont,
CA). Briefly, CHO-K1 cells stably expressing the human D2R long isoform, D3R, or D4R (DiscoverX, Inc.),
were maintained in Ham’s F12 media supplemented with 10% fetal
bovine serum, 100 U/mL penicillin, 100 μg/mL streptomycin, and
800 μg/mL G418 and 300 μg/mL hygromycin at 37 °C,
5% CO2, and 90% humidity. The cells were seeded in this
media at a density of 2625 cells/well in 384-well black, clear-bottom
plates. Compounds were diluted in phosphate-buffered saline in the
presence of 0.2 μM sodium metabisulfite. Following overnight
incubation, the cells were treated with multiple concentrations of
compound and incubated at 37 °C for 90 min. DiscoverX reagent
was then added to cells according to the manufacturer’s recommendations
followed by 45–60 min incubation at room temperature. Luminescence
was measured on a Hamamatsu FDSS μCell reader. Data were collected
as RLUs and subsequently normalized to a percentage of the control
luminescence seen with a maximum concentration of dopamine for agonist
mode assays and the EC80 of dopamine for antagonist mode
assays. The Hill coefficients of the concentration–response
curves did not significantly differ from unity.
cAMP Inhibition
Assay
D4R- and D2R-mediated inhibition
of forskolin-stimulated cAMP production was
assayed using the PerkinElmer LANCE Ultra cAMP assay kit (PerkinElmer,
Inc., Waltham, MA). CHO-K1 cells stably expressing the human D2R long isoform or D4R were maintained in Ham’s
F12 supplemented with 10% fetal bovine serum, 100 U/mL penicillin,
100 μg/mL streptomycin, and 800 μg/mL G418 and 300 μg/mL
hygromycin at 37 °C, 5% CO2, and 90% humidity. Cells
were seeded in Hank’s balanced salt solution (with CaCl and
MgCl2) with 5 mM HEPES buffer and 0.2 μM sodium metabisulfite
at a density of 5000 cells/well in 384-well white plates. Compounds
and forskolin were made in the same buffer. Immediately after plating,
cells were treated with 2.5 μL of compound (at various concentrations)
and 2.5 μL of forskolin and incubated at room temperature for
30 min. The final concentration of forskolin was 10 μM. When
running assay in antagonist mode, the EC80 of dopamine
(10 nM) was added with the forskolin solution. Eu-cAMP tracer and
ULight-anti-cAMP solutions were added as directed by the manufacturer
and cells were incubated for 2 h in the dark at room temperature,
after which a time-resolved fluorescence resonance energy transfer
(TR-FRET) signal was measured using a BMG Labtech PHERAstar Fs (BMG
Labtech USA, Cary, NC). Values were normalized to a percentage of
the control TR-FRET signal seen with a maximum concentration of dopamine
for agonist mode assays and the EC80 of dopamine for antagonist
mode assays. The Hill coefficients of the concentration–response
curves did not significantly differ from unity with the data fitting
to a single site model.
Molecular Docking Studies
Crystal
Structures of D2R, D3R, and D4R
In this study, we used the crystal structure of
the human dopamine D2, D3, and D4 receptor in complex with antagonists risperidone (PDB: 6CM4(26)), eticlopride (PDB: 3PBL(25)), and nemonapride
(PDB: 5WIU(24)), respectively. Each of the three crystal structures
was prealigned in membrane using the OPM web server.[55]
Protein Structure Preparation
The
structures of D2R, D3R, and D4R were
further prepared
using Maestro Protein Preparation Wizard.[56] First, the hydrogens and missing side chains were added. Second,
the protonation state of the receptor was optimized at pH = 7. Third,
a restrained minimization was performed to relax the receptor structure
using OPLS3 force field.[57]
Ligand Preparation
The 2D structures of 1, 6, 9, 10, 12, 13, and 21 were first constructed in
ChemDraw and then converted into a 3D structure using Maestro Elements.
Next, the protonation state was generated at pH = 7 using the pKa prediction program Epik that is based on the
Hammett and Taft methodologies.[56] Lastly,
the geometry of each ligand was optimized using an energy minimization.
Ligand Docking
The orthosteric ligand pockets of D2R, D3R, and D4R were specified by the
crystal ligands risperidone, eticlopride, and nemonapride, respectively,
and a 3D box was formed around each crystal ligand to enclose the
orthosteric ligand binding pocket. Each ligand was first docked using
the Glide XP scoring function with default procedures and parameters.[58,59] Reproductions of the crystal binding poses of risperidone, eticlopride,
and nemonapride in D2R, D3R, and D4R, respectively, provide a solid validation for our XP docking protocol
(Figures S2–S4). To refine the docking
poses of noncrystal ligands, induced fit docking (IFD) was conducted
on the complex from the Glide XP docking.
MD Simulation System Setup
Seven MD simulation systems
were built using the complexes from the IFD. Each pre-aligned complex
was placed in a double lipid membrane formed by 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine lipids[60] and then solvated in an orthorhombic water box with a buffer distance
of 10 Å using the SPC water model.[61] Each system was neutralized using Na+ ions, added with
a salt concentration of 0.15 M NaCl. The OPLS3 force field[57] was used to represent the receptor–ligand–lipid
system.
Relaxation and Production Runs
Using Desmond, each
system was first relaxed using the default relaxation protocol for
membrane proteins.[62] After the relaxation,
a 100.0 ns production run was conducted under the NPT ensemble for each system using the default protocol. A temperature
of 300 K was controlled using the Nosé–Hoover chain
coupling scheme[63] with a coupling constant
of 1.0 ps. A pressure of 1 atm was controlled using the Martyna–Tuckerman–Klein
chain coupling scheme[63] with a coupling
constant of 2.0 ps. M-SHAKE[64] was applied
to constrain all bonds connecting hydrogen atoms, enabling a 2.0 fs
time step in the simulations. The k-space Gaussian
split Ewald method[65] was used to treat
long-range electrostatic interactions under periodic boundary conditions
(charge grid spacing of ∼1.0 Å, and direct sum tolerance
of 10–9). The cutoff distance for short-range nonbonded
interactions was 9 Å, with the long-range van der Waals interactions
based on a uniform density approximation. To reduce the computation,
nonbonded forces were calculated using an r-RESPA integrator[66] where the short-range forces were updated every
step and the long-range forces were updated every three steps. The
trajectories were saved at 100.0 ps intervals for analysis.
SID
Analyses
The SID tool was used to generate graphical
information about the behavior and interaction of the protein and
ligand during simulation. The analysis gives us graphical representation
of root mean square deviation (RMSD), root mean square fluctuation,
secondary structures changes, protein–ligand contacts, and
ligand torsion profiles of rotatable bonds.
Convergence of Simulations
To check the convergence
of the simulations, we investigated the protein Cα and ligand
RMSD plots for each system (Figures S34–S36). The relatively flat plots within last 20 ns indicate that the
complex systems have reached a steady state.
Trajectory Clustering Analyses
The Desmond trajectory
clustering tool[67] was used to group complex
structures for each system. The backbone RMSD matrix was used as structural
similarity metric and hierarchical clustering with average linkage[67] was selected as the clustering method. The merging
distance cutoff was set to be 2.5 Å. For all systems, a dominant
cluster with was identified to have more than 80% of the trajectory
population.
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