The serotonin 2A receptor (5-HT2AR) is the mediator of the psychedelic effects of serotonergic psychedelics, which have shown promising results in clinical studies for several neuropsychiatric indications. The 5-HT2AR is able to signal through the Gαq and β-arrestin effector proteins, but it is currently not known how the different signaling pathways contribute to the therapeutic effects mediated by serotonergic psychedelics. In the present work, we have evaluated the subtype-selective 5-HT2AR agonist 25CN-NBOH and a series of close analogues for biased signaling at this receptor. These ligands were designed to evaluate the role of interactions with Ser1593×36. The lack of interaction between this hydroxyl moiety and Ser1593×36 resulted in detrimental effects on potency and efficacy in both βarr2 and miniGαq recruitment assays. Remarkably, Gαq-mediated signaling was considerably more affected. This led to the development of the first efficacious βarr2-biased 5-HT2AR agonists 4a-b and 6e-f, βarr2 preferring, relative to lysergic acid diethylamide (LSD).
The serotonin 2A receptor (5-HT2AR) is the mediator of the psychedelic effects of serotonergic psychedelics, which have shown promising results in clinical studies for several neuropsychiatric indications. The 5-HT2AR is able to signal through the Gαq and β-arrestin effector proteins, but it is currently not known how the different signaling pathways contribute to the therapeutic effects mediated by serotonergic psychedelics. In the present work, we have evaluated the subtype-selective 5-HT2AR agonist 25CN-NBOH and a series of close analogues for biased signaling at this receptor. These ligands were designed to evaluate the role of interactions with Ser1593×36. The lack of interaction between this hydroxyl moiety and Ser1593×36 resulted in detrimental effects on potency and efficacy in both βarr2 and miniGαq recruitment assays. Remarkably, Gαq-mediated signaling was considerably more affected. This led to the development of the first efficacious βarr2-biased 5-HT2AR agonists 4a-b and 6e-f, βarr2 preferring, relative to lysergic acid diethylamide (LSD).
G protein-coupled receptors (GPCRs) form
the largest protein family
in the human genome, mediating signaling from the extracellular to
the intracellular side of the cell membrane via a diverse range of
neurotransmitters, hormones, and peptides.[1−3] These transmembrane
proteins are also the most prominent drug targets, with nearly one-third
of all FDA-approved drugs acting on GPCRs. These receptors typically
transduce physiological signals through intracellular G protein(s).
Upon binding of an agonist, the heterotrimeric G protein interacts
with the receptor, and the Gα subunit dissociates
and initiates the downstream G-protein-mediated signaling cascade.
Despite being the most prevalent targets in drug discovery campaigns,
there have been limitations in understanding the in vivo pharmacological response of GPCR ligands through in vitro assays.[4,5] Particularly the discovery of other effector
proteins, such as β-arrestin 2 (βarr2), has shown the
multifaceted nature of GPCR signaling.[6] To fully untangle this complexity, pathway-selective (or biased)
agonists need to be developed for each signaling pathway, i.e., ligands
that lead to a preferential (ideally specific) activation of one of
the alternative G protein and/or beta-arrestin signaling pathways.The serotonin 2A receptor (5-HT2AR) is the most abundant
excitatory serotonin receptor in the brain and the primary mediator
of the psychedelic effects of serotonergic psychedelics. These psychedelics
can be subdivided into three distinct chemotypes: ergolines, such
as lysergic acid diethylamide (LSD),[7] tryptamines
such as psilocin[8] (which was first isolated
from Psilocybe Mexicana),[9] and phenylalkylamines, such as 2,5-dimethoxy-4-iodoamphetamine
(DOI)[10] and mescaline[11,12] (which was first isolated from Lophophora williamsii).[13] In recent years, there has been increased
scientific interest in these serotonergic psychedelics primarily based
on the work with psilocybin, which has displayed promising effects
in clinical studies focused on various neuropsychiatric indications,
including depression and anxiety,[14−17] substance abuse,[18−20] and obsessive-compulsive disorder (OCD).[21] Besides psilocybin, there has also been a renewed interest in the
medical use of LSD.[22,23] In addition to its 5-HT2AR agonism, psilocybin exhibits high agonist potency at most of the
serotonergic receptors[24,25] and LSD possesses high activity
at an even broader range of monoaminergic receptors.[26] Despite these nonselective receptor profiles, the activation
of 5-HT2AR is considered essential for the psychedelic
effects as well as the apparent therapeutic potential of these compounds.
In general, the phenylalkylamines, and in particular N-benzylphenethylamines (NBOMe’s), have shown selectivity
toward 5-HT2AR. The reader is referred to recent review
articles for a more in-depth discussion on the historical overview
of the NBOMe class.[27,28] Despite efforts from many, the
success rate of developing truly selective 5-HT2AR agonists
has been nominal.[29−31] The most notable exceptions are 25CN-NBOH[32−35] and (S,S)-DMBMPP,[36] which
are the most selective 5-HT2AR agonists reported to date,
with a 52- to 100-fold and 124-fold selectivity over 5-HT2CR, respectively.[33,36]The 5-HT2AR
is able to signal through members of both
Gαq and Gαi/o protein families and
also through beta-arrestin mediated pathways.[37,38] Several psychedelics and 5-HT2AR agonists have been evaluated
for their respective bias profiles toward the Gαq and βarr2 transducers, by means of highly analogous functional
complementation assays.[39−42] Recently, the first partial agonist (Emax = 13%) with bias toward the βarr2 over Gαq-γ9 pathway, compared to the reference 5-HT,
has been disclosed (IHCH-7086).[43] However,
no strongly biased agonist for the G-protein-mediated signaling pathway
has been identified. Herein, we have profiled the subtype-selective
agonist 25CN-NBOH and a series of close analogues for functional selectivity
at 5-HT2AR in Gαq- and βarr2-based
functional assays and have evaluated the role of the simultaneous
interaction of Ser1593×36 with the ammonium and the
benzylic hydroxyl of the ligands,[44] which
led to the discovery of the first efficacious βarr2-biased agonists
for this receptor, relative to LSD.
Results and Discussion
Chemistry
The corresponding phenethylamine analogues
were all prepared according to previously described methods.[10,32,45,46] In short, aldehyde 1 was condensed with nitromethane
and subsequently reduced with lithium aluminum hydride (LAH), to yield
phenethylamine 2 (2C-H) (Scheme ). Compound 3 (2C-B) was prepared
via subsequent bromination of the 4-position.[10] The corresponding N-benzyl derivatives (4a–b) were prepared via reduction amination of 3, in the
presence of the appropriate benzylaldehyde.[45] Analogues 4c–d were prepared from condensation
of 3 with 3-coumaranone or 4-chromanone, respectively.
The resulting imines were reduced with NaBH3CN, which yielded
the racemic secondary amines in 52–58% isolated yield (Scheme ). To obtain phenethylamine 5 (2C-CN), compound 3 was converted to the corresponding
phthalimide. Subsequent copper-catalyzed cyanation on the 4-bromo
moiety and the phthalimide deprotection with NH2NH2[46] led to 5, from
which the corresponding N-benzyl derivatives (6a–e) were prepared via reduction amination in the
presence of the appropriate benzylaldehyde.[32,45]6f was prepared from condensation of 5 with 3-coumaranone. The resulting imine was reduced with NaBH3CN, which yielded the racemic secondary amine in 55% (Scheme ).
The functional characteristics
of 4a–d and 6a–f at the 5-HT2AR were determined by bioassays using the Nanoluciferase Binary
Technology (NanoBiT).[40,41] Briefly, the two nonfunctional
parts of the nanoluciferase are each fused to one of the two interacting
proteins, in this case the 5-HT2AR and the cytosolic proteins,
βarr2 or miniGαq, i.e., the GTPase domain
of the Gαq subunit.[47−49] Upon receptor activation,
the cytosolic proteins are recruited to the intracellular parts of
the receptor, leading to the functional complementation of the split-nanoluciferase
and generation of a luminescent signal, in the presence of the enzyme’s
substrate.[50] Both the potency and efficacy
of the evaluated compounds were determined with this setup. To allow
the comparison of the obtained results with previous results, LSD
was chosen as the reference agonist for Emax and β-factor calculations, and serotonin (5-HT) was included
as a positive control.[41] The functional
data normalized to 5-HT as a reference agonist is included in the
Supporting Material (Table S1). To obtain
the data given in Table , the area under the curve (AUC) of the full (standard) 2 h activation
(time–luminescence) profiles was used to generate concentration–response
curves. For a more detailed comparison of biased agonism of (psychedelic)
phenethylamines with various incubation times, the reader is referred
to Pottie and Poulie et al.[51]
Table 1
Functional Properties of the Compounds
(4a–d and 6a–f) at 5-HT2AR in the βarr2 or miniGαq Recruitment
Assaysa
β-arr2
miniGαq
5-HT2A
EC50 (nM) [CI]
Emax (%) [CI]
EC50 (nM) [CI]
Emax (%) [CI]
β-factor
5-HT
12.1 [8.52–17.4]
110 [105–115]
130 [63.3–270]
222 [197–249]
0.576
LSD
12.9 [8.45–19.7]
99.7 [93.6–106]
13.2 [6.81–25.6]
100 [91.0–110]
0
4a
11.1 [7.65–16.2]
112 [105–118]
48.8 [13.0–157]
28.0 [22.1–34.7]
1.240
4b
11.1 [7.59–16.3]
113 [106–120]
44.4 [19.1–94.6]
38.8 [34.0–44.3]
1.100
(±)-4c
28.6 [18.9–43.3]
96.6 [90.4–103]
23.0 [12.0–44.6]
48.7 [44.0–53.7]
0.279
(±)-4d
132 [108–161]
121 [115–126]
174 [80.9–423]
47.7 [40.4–57.5]
0.558
6a (25CN-NBOH)
2.75 [1.73–4.40]
150 [141–160]
8.59 [3.87–18.1]
123 [110–136]
0.619
6b (25CN-NBOMe)
1.93 [1.17–3.28]
161 [151–171]
6.71 [3.82–11.4]
159 [148–170]
0.526
6c (25CN-NBF)
53.2 [36.8–75.7]
114 [107–121]
168 [77.7–363]
72.5 [62.8–82.9]
0.669
6d (25CN-NBMD)
17.0 [10.4–28.2]
114 [106–123]
45.1 [14.5–128]
83.0 [67.1–100]
0.638
6e
84.5 [64.0–111]
106 [101–112]
301 [46.1–1764]
22.5 [16.4–30.3]
1.250
(±)-6f
108 [68.6–169]
82.9 [75.9–90.2]
631 [n.d.]
18.0 [n.d.]
n.d.
Data obtained
in the βarr2
or miniGαq recruitment assays, using the 2 h time–luminescence
profile to calculate the AUC. The EC50 value is a measure
of agonist potency, and the Emax value
is a measure of agonist efficacy. The Emax values for the compounds are normalized to the Emax of LSD as the reference agonist (data for the compounds
where the Emax are normalized to serotonin Emax values can be found in the Supporting Information). Data are combined from at least three
independent experiments, each performed in duplicate. The reported
β-factor is the average value of the three β-factors obtained
in three independent experiments; β-factors derived from the
“combined” EC50 and the Emax values can be found in Table S2. n.d. is not determined; see text for further details. CI: 95% confidence
interval.
Data obtained
in the βarr2
or miniGαq recruitment assays, using the 2 h time–luminescence
profile to calculate the AUC. The EC50 value is a measure
of agonist potency, and the Emax value
is a measure of agonist efficacy. The Emax values for the compounds are normalized to the Emax of LSD as the reference agonist (data for the compounds
where the Emax are normalized to serotonin Emax values can be found in the Supporting Information). Data are combined from at least three
independent experiments, each performed in duplicate. The reported
β-factor is the average value of the three β-factors obtained
in three independent experiments; β-factors derived from the
“combined” EC50 and the Emax values can be found in Table S2. n.d. is not determined; see text for further details. CI: 95% confidence
interval.The EC50 and Emax values
(normalized to Emax of LSD), as a measure
of potency and efficacy, respectively, for the compounds are summarized
in Table . Additionally,
the EC50 and Emax values of
compounds 4a–b and 6a,c,e–f were also determined at the 5-HT2AR S159A-mutated receptor,
and these data are summarized in Table . The S159A residue was mutated because of its double
interaction with 25CN-NBOH (6a) in the deposited cryo-EM
structure: Ser159 interacts simultaneously with both its ammonium
and its ortho-OH moiety on the benzyl ring.[52] Additionally, Kim et al.[52] previously reported that 6a and serotonin
show 161- and 157-fold decreases in potency in a Gαq-dissociation BRET assay at 5-HT2AR, respectively, with
the introduction of the S159A mutation, while the efficacy of the
two agonists remained roughly unchanged for serotonin and decreased
by a quarter, for 6a. Most of the evaluated ligands lack
the possibility to interact with Ser1593×36, making
it compelling to investigate the influence of this residue on the
biased agonism of these ligands. The agonist concentration–response
curves of all compounds are presented in Figure A (βarr2) and Figure B (miniGαq) for the wild-type
receptor, and Figure A,B, respectively, for the S159A mutated receptor. Figure illustrates the bias plots
of the respective ligands evaluated, and Figure shows the overview of the Kruskal–Wallis
analysis of the bias factors. These data with serotonin as reference
can be found in Figures S2–6 and Table S1, in the Supporting Information.
Table 2
Functional Properties of the Tested
Compounds (4a–b and 6a, c, e–f) at the 5-HT2AR S159A-Mutated Receptor in the βarr2
or miniGαq Recruitment Assaysa
β-arr2
miniGαq
5-HT2A-S159A
EC50 (nM) [CI]
Emax (%) [CI]
EC50 (nM) [CI]
Emax (%) [CI)
β-factor
5-HT
661 [415–1025]
77.4 [71.7–83.4]
1672 [728–4550]
49.3 [41.3–60.4]
0.550
LSD
5.19 [3.20–8.25]
99.9 [93.7–106]
5.38 [2.85–9.81]
99.5 [91.6–108]
0
4a
172 [74.8–443]
89.8 [75.8–108]
154 [n.d.]
21.0 [n.d.]
n.d.
4b
81.9 [52.6–126]
106 [97.5–114]
112 [40.1–327]
44.7 [36.9–53.9]
0.565
6a (25CN-NBOH)
37.7 [23.3–59.9]
114 [105–123]
137 [76.2–247]
70.3 [62.2–78.9]
0.733
6c (25CN-NBF)
661 [504–853]
86.6 [81.5–92.0]
1126 [253–3869]
20.4 [14.1–30.3]
0.731
6e
939 [614–1388]
68.2 [62.6–74.3]
2064 [n.d.]
12.9 [n.d.]
n.d.
(±)-6f
1025 [673–1517]
90.8 [81.9–101]
1653 [n.d.]
13.8 [n.d.]
n.d.
Data obtained in
the βarr2
or miniGαq recruitment assays, using the 2 h time–luminescence
profile to calculate the AUC. The EC50 value is a measure
of agonist potency, and the Emax value
is a measure of agonist efficacy. The Emax values for the compounds are normalized to Emax of LSD as the reference agonist (data for the compounds
where Emax are normalized to serotonin Emax values can be found in the Supporting Information). Data are combined from at least three
independent experiments, each performed in duplicate. The reported
β-factor is the average value of the three β-factors obtained
in three independent experiments; β-factors derived from the
“combined” EC50 and Emax values can be found in Table S2. n.d. is not determined; see text for further details. CI: 95% confidence
interval.
Figure 1
Concentration–response
curves of the tested compounds (4a–d, and 6a–f) at the 5-HT2AR in the βarr2
or miniGαq recruitment
assays. Overlay of the concentration–response curves for each
of the tested substances in the two assay formats. The Emax values for the compounds are normalized to Emax of LSD as the reference agonist (data for
the compounds where Emax are normalized
to serotonin Emax values can be found
in the Supporting Information). Each point
represents the mean of three independent experiments, each performed
in duplicate ± standard error of the mean (SEM). Curves represent
three parametric, nonlinear fits.
Figure 2
Concentration–response
curves of the compounds (4a–b and 6a,c,e–f) at the 5-HT2AR- S159A
mutated receptor in the βarr2 or miniGαq recruitment
assays. Overlay of the concentration–response curves for each
of the tested substances in the two assay formats. The Emax values for the compounds are normalized to Emax of LSD as the reference agonist (data for
the compounds where Emax are normalized
to serotonin Emax values can be found
in the Supporting Information). Each point
represents the mean of three independent experiments, each performed
in duplicate ± standard error of the mean (SEM). Curves represent
three parametric, nonlinear fits.
Figure 3
Qualitative
bias plots, where each panel shows the centered second-order
polynomial fit of the activation values at equimolar concentrations
of the substance in the respective assays in red, and that of the
reference agonist (LSD) in black (WT and S159A mutated receptor overlap
for LSD). Red is data for WT receptor, and blue is data for S159A
mutated receptor. Error bars represent the SEM of the individual data
points per concentration.
Figure 4
Visual
representation of the bias factors (β), where * stands
for p < 0.05 and ** stands for p < 0.01 in the nonparametric Kruskal–Wallis analysis of
significance. Compound 6f is omitted, as no bias factor
could be calculated. LSD is used as the reference agonist (data for
the compounds where serotonin is used as the reference agonist can
be found in the Supporting Information).
Concentration–response
curves of the tested compounds (4a–d, and 6a–f) at the 5-HT2AR in the βarr2
or miniGαq recruitment
assays. Overlay of the concentration–response curves for each
of the tested substances in the two assay formats. The Emax values for the compounds are normalized to Emax of LSD as the reference agonist (data for
the compounds where Emax are normalized
to serotonin Emax values can be found
in the Supporting Information). Each point
represents the mean of three independent experiments, each performed
in duplicate ± standard error of the mean (SEM). Curves represent
three parametric, nonlinear fits.Concentration–response
curves of the compounds (4a–b and 6a,c,e–f) at the 5-HT2AR- S159A
mutated receptor in the βarr2 or miniGαq recruitment
assays. Overlay of the concentration–response curves for each
of the tested substances in the two assay formats. The Emax values for the compounds are normalized to Emax of LSD as the reference agonist (data for
the compounds where Emax are normalized
to serotonin Emax values can be found
in the Supporting Information). Each point
represents the mean of three independent experiments, each performed
in duplicate ± standard error of the mean (SEM). Curves represent
three parametric, nonlinear fits.Qualitative
bias plots, where each panel shows the centered second-order
polynomial fit of the activation values at equimolar concentrations
of the substance in the respective assays in red, and that of the
reference agonist (LSD) in black (WT and S159A mutated receptor overlap
for LSD). Red is data for WT receptor, and blue is data for S159A
mutated receptor. Error bars represent the SEM of the individual data
points per concentration.Visual
representation of the bias factors (β), where * stands
for p < 0.05 and ** stands for p < 0.01 in the nonparametric Kruskal–Wallis analysis of
significance. Compound 6f is omitted, as no bias factor
could be calculated. LSD is used as the reference agonist (data for
the compounds where serotonin is used as the reference agonist can
be found in the Supporting Information).Data obtained in
the βarr2
or miniGαq recruitment assays, using the 2 h time–luminescence
profile to calculate the AUC. The EC50 value is a measure
of agonist potency, and the Emax value
is a measure of agonist efficacy. The Emax values for the compounds are normalized to Emax of LSD as the reference agonist (data for the compounds
where Emax are normalized to serotonin Emax values can be found in the Supporting Information). Data are combined from at least three
independent experiments, each performed in duplicate. The reported
β-factor is the average value of the three β-factors obtained
in three independent experiments; β-factors derived from the
“combined” EC50 and Emax values can be found in Table S2. n.d. is not determined; see text for further details. CI: 95% confidence
interval.The 4-bromo analogues
(4a–c) displayed nanomolar
agonist potency at 5-HT2AR in both the βarr2 (EC50: 11–29 nM) and the miniGαq (EC50: 23–49 nM) recruitment assays, which is in line with
previously reported values for 4-halogen-substituted analogues, such
as 25I-NBOMe and 25I-NBOH.[41] Interestingly,
the Emax values exhibited by these analogues
were reduced compared to 25I-NBOMe and 25I-NBOH, albeit not as pronounced
in the βarr2 assay (Emax: 97–113%
vs 135–141%, respectively) as in the miniGαq assay (Emax: 28–49% vs 111–160%,
respectively) (Table ). Interestingly, extension of the dihydrobenzofuran ring of 4c with one carbon markedly reduced the potency of 4d in both the βarr2 and miniGαq recruitment
assays (EC50: 132 and 174 nM, respectively) compared to
that of 4c, whereas this modification had little influence
on the agonist efficacies in either assay (121 and 48%, respectively)
compared to 4a–c. Despite minor variations in
the potencies and efficacies of the four bromo analogues (4a–d), there was a marked difference in their calculated β-factor.
For example, 4a–b were statistically significant
βarr2-preferring agonists, with β-factors of 1.24 and
1.10, respectively (Table ), relative to LSD in contrast to 4c with a β-factor
of 0.279, which is in line with most other NBOMes.[41]The 4-cyano analogues (6a–f)
displayed more
mixed potency profiles compared to the 4-bromo analogues (4a–d). Compounds 6a–b displayed agonist potencies
in the low nanomolar range at 5-HT2AR in both the βarr2-
(EC50: 2.8 and 1.9 nM, respectively) and the miniGαq-recruitment assays (EC50: 8.6 and 6.7 nM), with Emax values of 150 and 161% in the βarr2-assay
and 123 and 159% in the miniGαq-assay, respectively.
This is in line with the reported values for 25H-NBOH and 25H-NBOMe.[41,42] Compound 6c followed the same trend as 6a–b, albeit with significantly lower potencies and efficacies at the
receptor for the recruitment of both cytosolic mediators. Interestingly, 6d displayed reduced potencies and efficacies in the βarr2
and miniGαq assays compared to those of 6a–b, but both were increased or the same compared to 6c, respectively. This tendency is similar to what is observed with
the 4-bromo analogues (4a–b), which also lack
a hydrogen-bond acceptor in the ortho-position on the benzylic ring.Compounds 6a–d displayed slightly lower Emax values in the miniGαq than
in the βarr2 recruitment assay, and interestingly, the efficacies
displayed by the other compounds in the miniGαq recruitment
assay were only half or even lower than the corresponding efficacies
in the βarr2 assay compared to other NBOMes.[41] This resulted in a particularly strong preference toward
βarr2 recruitment for 4a–b and 6e with calculated β-factors ranging 1.10–1.25, relative
to LSD. While no β-factor for 6f could be calculated
because of its low activity in the miniGαq recruitment
assay, judging from the bias plot (Figure ), it is apparent that this ligand was highly
biased for βarr2 recruitment, relative to LSD Table S2. This observation is numerically reflected when using
a slightly different method of data analysis, as shown in Supplementary Table S2.Of note, even though the obtained
absolute bias factors are different
when serotonin is taken as the reference agonist (Table S1 and Figure S6), these three compounds still show
a preference toward βarr2 recruitment relative to serotonin.
From the bias plot (Figure S5) of compound 6f, also a strong preference toward βarr2 recruitment
relative to serotonin can be deduced. For a more detailed comparison
of biased agonism of (psychedelic) phenethylamines relative to reference
agonists LSD and serotonin, the reader is referred to Pottie and Poulie
et al.[51]Regarding the S159A mutated
5-HT2AR, it should first
be noted that serotonin displayed a significant loss of potency and
efficacy at this mutated receptor compared to the WT receptor in both
the βarr2 and miniGαq recruitment assays. The
fact that the agonist potency of LSD at 5-HT2AR was not
affected by this mutation prompted us to use LSD as the reference
agonist to enable comparisons between the WT and mutated receptor
(Table and Figure S8). The potency of 4a was
reduced at 5-HT2AR S159A compared to WT 5-HT2AR by factors of approximately 15 and 3 in the βarr2 and miniGαq recruitment assays, respectively. On the other hand, agonist
potency of 4b in the βarr2 assay was only negatively
affected by a factor of 7, which is to be expected from the loss of
a hydrogen-bond interaction. Remarkably, the efficacy of 4b remained largely unaffected by the S159A mutation, as neither its
potency nor its efficacy in the miniGαq recruitment
assay was significantly altered. The agonist potency displayed by 6a at the S159A mutated 5-HT2AR in the βarr2
recruitment assay was likewise reduced (approximately 14-fold) as
it has been reported previously.[52] In this
case, the efficacy was also considerably decreased (Emax: 150 and 114% at WT 5-HT2AR and 5-HT2AR S159A, respectively). The same was observed in the miniGαq recruitment assay, with substantially reduced agonist potency
and a significant decrease in efficacy (EC50: 8.6 and 137
nM, Emax: 123 and 70% at WT 5-HT2AR and 5-HT2AR S159A, respectively). The agonist potencies
displayed by 6c at 5-HT2AR S159A were reduced
by factors of 12 and 7 at the mutated receptor compared to the WT
receptor in the βarr2 and miniGαq recruitment
assays, respectively, and its agonist efficacies also decreased substantially
by the introduction of the mutation (Table ). The agonist potencies of 6e–f also decreased by factors of ∼10 at the S159A mutated receptor
in the βarr2 recruitment assay, and the potency of 6e at the mutated receptor in the miniGαq recruitment
assay was more affected compared to that of 6f (6.9-fold
compared to 2.6-fold, respectively). Of note is that, although all
experiments with the mutated receptor were conducted relative to reference
agonists, we cannot fully exclude that different expression levels
of the wild-type and mutated receptor constructs may have some impact.Taken together, from these results it is apparent that regardless
of the benzylic substituent, the 4-bromo analogues and the 4-cyano
analogues do not exhibit the same structure–activity relationship
(SAR). In particular, this is highlighted in the clear difference
in the relative preference exhibited by these two analogue series
when it comes to βarr2 recruitment to the 5-HT2AR
(Figure and Table ). An exception to
this is the fact that 4a and 6e display
the same trend (β-factors of 1.240 and 1.250, respectively).
Furthermore, the change of the benzylic hydroxy in the ortho-position
in 6a, to the meta-position in 6e, resulted
in a significant loss of both agonist potency and efficacy in both
the βarr2 and miniGαq recruitment assays. However,
the efficacy was more significantly reduced in the miniGαq assay, which resulted in a β-factor signifying a stronger
preference toward βarr2 recruitment for 6e. This
suggests that, at least for the 4-cyano analogues, this interaction
with Ser1593×36 is desired for the recruitment of
miniGαq.[32,52]
Binding Mode Analysis
As an attempt to investigate
a hypothesis of a direct interaction from the N-benzyl
moiety to Ser1593×36 as a determinant of bias and
provide structural explanations for the experimental results, compounds 4a–4d and 6a–6f were docked (Figures and 6) into the cryo-EM structure of the human 5-HT2AR bound to 6a (25CN-NBOH) and coupled to a miniGq/Gi2-Gs protein chimera.[52] As validation of the docking protocol, the highest
ranking binding pose of 6a displayed a root-mean-square
deviation (RMSD) of 0.57 Å for all heavy atoms, in comparison
to the experimental ligand coordinates and reproduced all major ligand–receptor
interactions, i.e., the canonical salt-bridge to the Asp1553×32, two hydrogen bonds to Ser1593×36, and aromatic
interactions to Trp3366×48, Phe3396×51, and Phe3406×52 (Figure A).[52] In general,
the docking poses of the other compounds showed the same binding mode
and interactions to the receptor as 6a, with differences
only in the pocket encompassing the N-benzyl moiety
with differing substitution patterns (Figures A–G, 6A–F,
and S7).
Figure 5
Experimental and predicted binding modes
of 4a–b and 6a–e to the 5-HT2AR. (A) Comparison
between the experimental (cyan) and the redocking binding pose of 6a in the cryo-EM structure of the Gq-coupled 5-HT2AR (PDB ID 6WHA)[52] (RMSD of 0.57 Å for heavy atoms).
(B–G) Predicted binding poses and ligand–receptor interactions
for 4a–b and 6b–e to the 5-HT2AR. The ligands are displayed as sticks, while the receptor
is shown as gray lines and cartoon. Ligand–receptor interactions
are displayed as dashed lines and colored in green (aromatic, π–π
staking), yellow (hydrogen bond), and pink (salt-bridge).
Figure 6
Predicted binding mode of both enantiomers of 4c–d and 6f to the 5-HT2AR. A–F. Predicted
binding poses and ligand–receptor interactions for the S- and R-isomers of dihydrobenzofuran (A–D)
and chromane (E, F) substituted PEAs in the 5-HT2AR. The
receptor is shown as gray lines and cartoon, while ligands are displayed
as sticks. Ligand–receptor interactions are displayed as dashed
lines and colored in green (aromatic, π–π staking),
yellow (hydrogen bond), and pink (salt-bridge).
Experimental and predicted binding modes
of 4a–b and 6a–e to the 5-HT2AR. (A) Comparison
between the experimental (cyan) and the redocking binding pose of 6a in the cryo-EM structure of the Gq-coupled 5-HT2AR (PDB ID 6WHA)[52] (RMSD of 0.57 Å for heavy atoms).
(B–G) Predicted binding poses and ligand–receptor interactions
for 4a–b and 6b–e to the 5-HT2AR. The ligands are displayed as sticks, while the receptor
is shown as gray lines and cartoon. Ligand–receptor interactions
are displayed as dashed lines and colored in green (aromatic, π–π
staking), yellow (hydrogen bond), and pink (salt-bridge).Predicted binding mode of both enantiomers of 4c–d and 6f to the 5-HT2AR. A–F. Predicted
binding poses and ligand–receptor interactions for the S- and R-isomers of dihydrobenzofuran (A–D)
and chromane (E, F) substituted PEAs in the 5-HT2AR. The
receptor is shown as gray lines and cartoon, while ligands are displayed
as sticks. Ligand–receptor interactions are displayed as dashed
lines and colored in green (aromatic, π–π staking),
yellow (hydrogen bond), and pink (salt-bridge).Focusing on Ser1593×36, only 6a and 6b, which both have oxygens in the ortho-position
of the N-benzyl moiety (−OH or −OMe),
establish the
two hydrogen bonds to Ser1593×36 (Figure A,B). The fact that 6a and 6b display similar potencies in the two assays
indicates that additional van der Waals interactions of the 2-methoxy
of 6b compensate for a weaker hydrogen bond relative
to the 2-hydroxy substituent on the N-benzyl. While
all other analogues, except 6c, contain either a hydroxy
group or an ether function, our docking poses of 4a–d and 6d–f do not show hydrogen
bonds from the N-benzyl moiety to Ser1593×36 (Figures and 6), corresponding to the lower potencies in both
assays relative to 6a and 6b (Table ). In fact, none of the three
compounds that display significant bias (4a, 4b, and 6e—Figure ) seem to form hydrogen bonds from the N-benzyl substituents to any of the surrounding receptor residues.
The common trait between these three compounds is oxygen in the meta-position
of the N-benzyl. While the docking poses showing
placement of this functional group in a mainly hydrophobic receptor
region (Figures b,c,g
and S7) may explain the observed potency
decreases (Table )
compared to 6a and 6b, they do not provide
a straightforward explanation for why the three compounds display
bias. On the other hand, the meta-position points in the direction
of Ser1623×39 and Ser3737×46, which
could potentially change conformation when the ligands bind (induced-fit),
something that the employed docking protocol does not account for.
The substitution pattern of the N-benzyl may also
impact the distribution of electron density of this aromatic ring
and, thus, affect the interactions with the surrounding aromatic residues
(Figures and 6). Additionally, previous work has shown Leu3627×34 and Tyr3707×42 to play a role in
bias.[43,53] However, Leu3627×34 is outside
of contact distance for all docked compounds and while Tyr3707×42 does display aromatic interactions to the N-benzyl of some compounds, this is not consistent with
whether they show bias or not, e.g., 4b but not 4a displays aromatic contact to Tyr3707×42 (Figure B,C).While the importance of direct hydrogen bonds between 6a and Ser1593×36 is supported by marked and similar
drops in both β-arr2 and miniGαq potencies
(14- and 16-fold) and efficacies (36 and 53%) in the S159A-mutated
5-HT2AR, the effect on the β-factor is remarkably
subtle (0.619 vs 0.733, Tables and 2). Since Ser1593×36 interacts with both the ammonium and the N-benzyl ortho-OH of 6a, we cannot distinguish the influence
of these two hydrogen bonds on the observed agonist potency and efficacy
decreases. Regardless, this residue has little influence on β-arr2
vs miniGαq bias for 6a. Serotonin signaling
is also markedly decreased by the S159A mutation in both assays (55-fold
and 33% in β-arr2 plus 13-fold and 173% in miniGαq), indicating that the removal of the interaction between
Ser1593×36 and the protonated amine (Figure S8) is the root cause for this decrease. The differential
effects by the S159A-mutated 5-HT2AR on the two pathways
observed for serotonin and the other compounds (excluding 6a) may then be due to the lack of the additional hydrogen bond to
Ser1593×36 seen in 6a, which displays
similar decreases. However, the effect of the S159A mutation on the
β-factor for serotonin is again very small (0.576 vs 0.550—Tables and 2). The only compound for which we have data showing a marked
change in bias by the S159A mutation is 4b, where the
β-factor changes from 1.100 to 0.565. This does indicate that
Ser1593×36 in combination with the N-benzyl substitution pattern in fact influences bias between β-arr2
and miniGαq, but apparently not via a direct hydrogen
bond to the N-benzyl substituent. A water-bridged
interaction could potentially play a role, but such an analysis cannot
be performed with the docking protocol used here.Regardless
of the docking failing to provide a detailed explanation
for the differing β-factors and the fact that most compounds
do not display bias between β-arr2 and miniGαq, we can clearly see that the different N-benzyl
substituents result in differential functional profiles in the β-arr2
and miniGαq assays. Regarding 6b as
a reference (as it has similar potency and efficacy in the two assays),
both potency and efficacy are in general higher in the β-arr2
vs the miniGαq assay (Figure S9). Keeping in mind that the highest difference in potency
between the two assays (for 6f) only corresponds to a
6-fold change, this still indicates that the changes we made in the N-benzyl substitution in general have larger effects in
the miniGαq vs the β-arr2 assay, reflected
in either potency and/or efficacy decrease. This demonstrates that
alterations in the N-benzyl substitution pattern
may be used to affect the preference between the two signaling pathways.
Conclusions
In summary, 10 5-HT2AR ligands,
based
on the 5-HT2AR selective agonist 6a (25CN-NBOH),
were successfully
designed and synthesized, with the aims of delineating their functional
selectivity profiles in assays for Gq- and βarr2-mediated 5-HT2AR signaling and to evaluate the role of the hydrogen interaction
of 6a with Ser1593×36 in the receptor.
The ligands were functionally characterized at 5-HT2AR
in the βarr2- and miniGαq-recruitment assays.
Compounds 4a–d, 6c, and 6e–f lacked the possibility for simultaneous interaction of the ammonium
and the ortho-oxygen on the benzyl moiety with Ser1593×36. The lack of interaction between the hydroxy and
Ser1593×36 resulted in detrimental effects for both
potency and efficacy, as assessed by βarr2 and miniGαq recruitment assays. Remarkably, Gq-mediated signaling
was considerably more affected by the compounds’ lack of the
ortho-hydrogen bond acceptor. The exact reasons for this observation
could not be identified computationally, as the precise effect of
the interaction of the benzylic hydroxyl and the interaction of the
ammonium with Ser1593×36 could not be distinguished.Regardless of the docking not being able to provide a detailed
explanation for the differing β-factors and the fact that most
compounds do not display bias between βarr2 and miniGαq, we can clearly see that the different N-benzyl substituents result in differential functional profiles in
the βarr2 and miniGαq assays. Keeping in mind
that the highest difference in potency between the two assays (for 6f) only corresponds to a 6-fold change, this still indicates
that the changes we made in the N-benzyl substitution
in general have larger effects in the miniGαq vs
the βarr2 assay, reflected in either potency and/or efficacy
decrease. This demonstrates that alterations in the N-benzyl substitution pattern can be used to affect the preference
between the two signaling pathways. Overall, these insights led to
the development of 4a-b and 6e-f, the first efficacious 5-HT2AR agonists
to be βarr2-biased, relative to LSD. Of special highlight is
compound 4a with potency and efficacy of 11.1 nM and
112%, respectively, for βarr2 recruitment, while in the miniGαq-recruitment assay, 4a had potency and efficacy
of 48.8 nM and 28.0%, respectively, as referenced by LSD. Compound (±)–6f showed potency and efficacy of 108 nM and
82.9%, respectively, for βarr2, while in the miniGαq-recruitment assay, compound (±)–6f exhibited potency and efficacy of 631 nM and 18.0%, respectively,
as referenced by LSD. Therefore, 4a and 6f are interesting tool compounds to use for further evaluation of
the role of signaling bias at the 5-HT2AR.
Experimental Section
Organic Chemistry
All reactions
involving dry solvents
or sensitive agents were performed under a nitrogen atmosphere and
glassware was dried prior to use. Commercially available chemicals
were used without further purification. Solvents were dried prior
to use with an SG water solvent purification system or dried by standard
procedures, and reactions were monitored by analytical thin-layer
chromatography (TLC, Merck silica gel 60 F254 aluminum
sheets). Flash chromatography was carried out using Merck silica gel
60A (35–70 μm). 1H NMR spectra
were recorded on a 400 MHz Bruker Avance III or 600 MHz Bruker Avance
III HD, and 13C NMR spectra on a 101 MHz Bruker Avance
III or 151 MHz Bruker Avance III HD. Analytical high-performance liquid
chromatography (HPLC) was performed using an UltiMate HPLC system
consisting of an LPG-3400A pump (1 mL/min), a WPS-3000SL autosampler,
and a 3000 Diode Array Detector installed with a Gemini-NX C18 (250
mm × 4.60 mm, 3 μm) column. Solvent A: H2O +
0.1% trifluoroacetic acid (TFA); Solvent B: MeCN-H2O 9:1
+ 0.1% TFA. For HPLC control, data collection, and data handling,
Chromeleon software v. 6.80 was used. Ultrahigh-pressure liquid chromatography-mass
spectrometry (UPLC-MS) spectra were recorded using an Acquity UPLC
H-Class Waters series solvent delivery system equipped with an autoinjector
coupled to an Acquity QDa and TUV detectors installed with an Acquity
UPLCBEH C18 (50 mm × 2.1 mm, 1.7 μm) column. Solvent A:
5% aq MeCN + 0.1% HCO2H: Solvent B: MeCN + 0.1% HCO2H. Usually, gradients from A:B 1:0 to 1:1 (5 min) or A:B 1:0
to 0–50 (5 min) were performed depending on the polarity of
the compounds. For data collection and data handling, MassLynx software
was used. Optical rotations were determined in a thermostated cuvette
on an Anton Paar MCP300 Modular Circular Polarimeter. Compounds were
dried under high vacuum or freeze-dried using a ScanVac Cool Safe
Freeze Drier. The purity of compounds submitted for pharmacological
characterization was determined to be >95%, by HPLC analysis.
General Procedure (A) for the Synthesis of Secondary Amines
The aldehyde (1.1 equiv) was added to a suspension of the phenethylamine
hydrochloride (1 equiv) and Et3N (1.0 equiv) in EtOH. The
reaction mixture was stirred until the formation of the imine was
complete (30 min—3 h). After the addition of NaBH4 (2.0 equiv), the mixture was stirred for 45 min and concentrated
under reduced pressure. The residue was partitioned in CH2Cl2/H2O (1:1 v/v), and the aqueous phase was
further extracted with CH2Cl2 (2×). The
organic layers were combined, dried over NaSO4, filtered,
and evaporated under reduced pressure. The secondary amine product
was purified by column chromatography (CH2Cl2/MeOH/Et3N, 98.2:1.4 + 0.24%) and precipitated by the
addition of 4 M HCl in dioxane (1.5 equiv) under continuous stirring.
The solid was filtered, dried under reduced pressure, dissolved in
a minimum amount of MeOH, and precipitated by the addition of Et2O. The product was collected by filtration and dried under
high vacuum.
General Procedure (B) for the Synthesis of
Conformational Constrained
Derivatives
Glacial acetic acid (3.0 equiv) was added to
a suspension of the targeted amine hydrochloride (1.0 equiv) in methanol/THF
(2:1 v/v). 4-Chromanone (2.5 equiv) or 3-coumaranone (3 equiv) was
added, and the reaction mixture was stirred at room temperature until
the formation of the corresponding imine was complete based on TLC
(CH2Cl2/MeOH/Et3N, 98.2:1.4 + 0.24%).
NaBH3CN (in THF) (1.0 M, 3.0 equiv) was added and the reaction
mixture was monitored by TLC and stirred for 30 min to 3 h. The mixture
was quenched by the addition of NaHCO3(aq), and the residue
was extracted with EtOAc (3×). The combined organic extracts
were dried over Na2SO4, filtered, and evaporated
under reduced pressure. The secondary amine product was purified by
column chromatography (CH2Cl2/MeOH/Et3N, 98.2:1.4 + 0.4%) and precipitated by the addition of 4 M HCl in
dioxane (1.5 equiv) under continuous stirring. The solid was filtered,
dried under reduced pressure, dissolved in a minimum amount of MeOH,
and precipitated by the addition of Et2O. The product was
collected by filtration and dried under high vacuum.
The title compound was prepared according
to General procedure A and in line with reported conditions, and the
characterization was in accordance with reported values.[45]
The title compound was prepared
according to General procedure A and in line with reported conditions,
and the characterization was in accordance with reported values.[45]
The title compound was prepared
according to General procedure A and in line with reported conditions,
and the characterization was in accordance with reported values.[45]
The title compound was prepared
according to General procedure B, which yielded the desired compound
as a white solid in 55%. LCMS (ESI) m/z = 325.2 [M + H]+; 1H NMR (600 MHz, DMSO) δ
9.33 (s, 2H), 7.64 (d, J = 7.5 Hz, 1H), 7.38 (d, J = 6.2 Hz, 2H), 7.14 (s, 1H), 7.02 (t, J = 7.4 Hz, 1H), 6.98 (d, J = 8.1 Hz, 1H), 5.10 (s,
1H), 4.80–4.72 (m, 1H), 4.65 (dd, J = 11.4,
7.9 Hz, 1H), 3.88 (s, 3H), 3.79 (s, 3H), 3.18 (s, 2H), 3.04–2.91
(m, 2H). 13C NMR (151 MHz, DMSO) δ 160.7, 155.2,
150.9, 132.6, 131.7, 127.2, 121.0, 116.3, 115.0, 114.7, 110.4, 98.6,
72.3, 58.1, 56.6, 56.3, 43.2, 27.2.
Pharmacology
Cell Culture
and Transfection
The potency and efficacy
of the synthesized substances are assessed by means of two distinct
yet highly analogous bioassays, monitoring the recruitment of either
β-arrestin 2 (βarr2) or miniGαq to the
activated target receptor (5-HT2AR). Essentially, the experimental
procedures are carried out as described before, employing transiently
transfected cells.[40−42] Human embryonic kidney (HEK) 293T cells are maintained
in Dulbecco’s modified Eagle’s medium (DMEM) (supplemented
with GlutaMAX), containing 10% heat-inactivated fetal bovine serum
(FBS), 100 IU/mL of penicillin, 100 μg/mL streptomycin, and
0.25 μg/mL amphotericin B. The cells are routinely cultured
and incubated at 37 °C, in a humidified atmosphere containing
5% CO2. To quantify the activity of the ligands at the
5-HT2AR, the cells are transfected with the receptor construct
(either the wild type or the S159A mutated 5-HT2AR fused
to the LgBiT component of the NanoBiT system) and either SmBiT-βarr2
or SmBiT-miniGαq. To this end, the cells are seeded
in six-well plates at a density of 500 000 cells per well.
After 24 h, a transfection mixture is prepared consisting of a total
of 3.3 μg of plasmid DNA and FuGENE HD transfection reagent,
in a 3:1 FuGENE:DNA ratio, in OptiMEM I Reduced Serum Medium, incubated
for 10 min, and added to the cells, according to the manufacturer’s
protocol.
Assay Protocol
After overnight incubation
of the transfected
cells, the cells are reseeded in poly-d-lysine coated 96-well
plates at a density of 50 000 cells per well. Following an
additional 24 h incubation (in total, 48 h after transfection), the
assay is started by rinsing the cells twice with 150 μL of Hank’s
Balanced Salt Solution (HBSS) and adding 100 μL of HBSS to each
well. To this, 25 μL of NanoGlo Live Cell Reagent is added (diluted
1/20 in LCS Dilution Buffer, according to the manufacturer’s
protocol) and the plate is transferred to the Tristar2LB 942 multimode
microplate reader (Berthold Technologies GmbH & Co, Germany),
where the luminescent signal is measured during an equilibration phase.
Upon signal stabilization, 10 μL of the 13.5 × concentrated
agonist solutions is added to the wells—obtaining in-well concentrations
of 25 μM–10 μM–1 μM–100 nM–10
nM–1 nM–100 pM–10 pM–1 pM, and the luminescence
is monitored for 2 h. For each condition, the appropriate solvent
controls are included. Each substance is tested in duplicate in at
least three independent experiments, and reference substances LSD
and serotonin are included in every experiment. For optimal comparability,
the two assays are performed immediately after one another, using
the same dilutions.
Cloning of the S159A-Mutated Receptor via
Site-Directed Mutagenesis
(SDM)
To assess the influence of residue S159 on the potency
and efficacy of a selected subset of the substances, an S159A mutated
5-HT2AR was generated using a Phusion Site-Directed Mutagenesis
kit, according to the manufacturer’s protocol. In brief, 200
pg of the template DNA (5-HT2AR-LgBiT) was mixed with the
provided Phusion High Fidelity Mastermix and 0.5 μM of the forward
primer (GTGCTCTTCGCCACGGCCTCCATCATGC) and reverse primer (GTCCAGGTAAATCCAGACTGCACAAAGCTTGC).
The three-step polymerase chain reaction (PCR) was performed in a
Mastercycler Nexus Thermal Cycler (Eppendorf, Hamburg, Germany) under
the following conditions: initial denaturation (98 °C, 30 s),
denaturation (98 °C, 10 s), annealing (71 °C, 20 s), extension
(72 °C, 150 s), and final extension (72 °C, 5 min), of which
the middle three steps were repeated 25 times. Following gel electrophoresis
and purification, the linear product was religated with the provided
T4 DNA ligase in the rapid ligation buffer and transformed into chemically
competent Escherichia coli bacteria.
After plasmid purification using the E.Z.N.A. Plasmid DNA Mini Kit
(VWR International), the correctness of the construct was verified
via Sanger sequencing.
Data Analysis
The resulting data
were analyzed as described
before in more detail.[55] In brief, the
obtained time–luminescence profiles are corrected for interwell
variability and used for the calculation of the area under the curve
(AUC), from which the AUC of the corresponding solvent control is
subtracted. Data are then normalized using GraphPad Prism software
(San Diego, CA), where the maximal response of the reference agonist
is arbitrarily set at 100%. After pooling the data of the individual
experiments, the potency and efficacy values are calculated in GraphPad
Prism through three parametric nonlinear regression analysis. To quantify
the tendency of the measured substances toward preferentially inducing
one pathway or the other, bias factors are calculated via the “intrinsic
relative activity approach.[56,57] In this approach, an
RAi value is calculated for each substance in each of the
measured assays, relative to a reference agonist, using the following
formulaThe obtained values for the respective pathways
are then combined into a bias factor, βiThis formula implies that the value of βi for the reference agonist is 0. A positive bias factor indicates
a preference toward the recruitment of βarr2 over miniGαq, compared to the respective reference agonist. A negative
bias factor then points to a relative preference toward the recruitment
of miniGαq over βarr2. To assess whether the
obtained bias factors are statistically significant from 0, a Kruskal–Wallis
analysis (which is the nonparametric counterpart of one-way analysis
of variance (ANOVA), selected a priori to avoid presumptuous
conclusions) with post hoc Dunn’s multiple comparison was carried
out in GraphPad Prism. To qualitatively visualize the possible preference
of a certain substance towards recruiting either one cytosolic protein
or the other, bias plots were generated via GraphPad Prism. To this
end, the normalized AUC values obtained in the βarr2 assay are
plotted on the x-axis, and those obtained in the
miniGαq assay are plotted on the y-axis. On each plot, both the respective reference agonist and one
substance of interest are plotted, and a curve is fitted through the
centered second-order (quadratic) polynomial fitting.[58]
Computational Methods
All molecular
modeling calculations
were performed in the Schrödinger Drug Discovery Suite (Release
2021–4, Schrödinger LLC, New York, NY, 2021). The ligands
(4a–d, 6a–f, and serotonin)
were sketched in Maestro with the two-dimensional (2D) Sketcher tools,
then the three-dimensional (3D) coordinates, charges, ionization states
at pH 7.0 ± 2.0, and minimized conformations were generated with
LigPrep using the default settings and the OPLS4 force field.[59] For the ligands with multiple protonation states
at physiological pH, only the state with a positive charge in the
amino group (and a total charge of +1.0) was kept, as the salt-bridge
interaction between the positive amine Asp1553×32 is
crucial for ligand binding.[44]The
cryo-EM structure of 5-HT2AR bound to 25CN-NBOH and in
complex to a mini-Gαq protein chimera (accession
code 6WHA)[52] and the crystallographic structure of the LSD-bound
5-HT2AR (accession code 6WGT)[52] were imported
from PDB. For the cryo-EM structure, the coordinates of the G-protein
and other auxiliary proteins were deleted, while for the crystallographic
structure, only one protein chain (chain A) was kept. The 5-HT2AR structures were then prepared using Schrodinger’s
Protein Preparation Wizard[60] to add hydrogens,
create disulfide bonds, generate protonation states for non-protein
components using Epik v5.8[61] at pH 7.0
± 2.0, and complete missing side chains using Prime.[62,63] For the bound ligands, 25CN-NBOH and LSD, the protonation state
with the positive charge in the amine group was selected. The hydrogen-bond
network of the protein was optimized with ProPKA[64,65] at pH 7.0 and using ProtAssign[60] to automatically
optimize Asn, Gln, His, and hydroxyl side chains. This optimization
was followed by two cycles of restrained minimization in the OPLS4
force field and with heavy atom convergence RMSD of 0.30 Å for
each cycle, using Impact v9.3.[66]The prepared 5-HT2AR structures were used to generate
the docking grids. The grids were centered around the experimental
ligand (25CN-NBOH or LSD), with no van der Waals scaling factor applied
to receptor atoms. The side chains of Ser1593×36 Thr1603×37, Ser2395×44, Ser2425×46, and Tyr3707×42 were allowed to rotate. No additional
constraints were applied, and other settings were kept in default
values. The ligands 4a–d and 6a–f were docked in the cryo-EM structure of 5-HT2AR bound
to 25CN-NBOH, while serotonin was docked in the crystallographic structure
of the LSD-bound 5-HT2AR. The dockings were performed in
Glide v9.3[67,68] in extra precision mode and the
OPLS4 force field.[69] The van der Waals
radii of ligand atoms were not scaled, as the docking involved a congeneric
series to the experimental ligand. The sampling of nitrogen inversions,
ring conformations, and the use of enhanced planarity for conjugated
π groups was allowed. Five docking poses were written per ligand,
followed by a post-docking optimization with a rejection threshold
of 0.50 kcal/mol with the application of strain correction. All other
settings were kept in the default values, while docking poses were
selected based on the lowest docking score and lowest RMSD to the
experimentally bound ligand.Ligand–receptor interaction
and structural interaction fingerprints
(SIFt) were calculated with the Pymol plugin Intermezzo (v1.2, Ochoa,
et al., unpublished, available at http://mordred.bioc.cam.ac.uk/intermezzo), with a binding pocket definition comprising the residues within
5.0 Å of 25CN-NBOH (or LSD) in the docking template structure.
PyMOL (The PyMOL Molecular Graphics System, Schrödinger LLC,
New York, 2020) was also used to generate the figures. The GPCRdb
numbering scheme was used to assign the generic residue numbers throughout
the text and figures.[70]
Authors: Andrew S Dixon; Marie K Schwinn; Mary P Hall; Kris Zimmerman; Paul Otto; Thomas H Lubben; Braeden L Butler; Brock F Binkowski; Thomas Machleidt; Thomas A Kirkland; Monika G Wood; Christopher T Eggers; Lance P Encell; Keith V Wood Journal: ACS Chem Biol Date: 2015-12-10 Impact factor: 5.100
Authors: Sudarshan Rajagopal; Seungkirl Ahn; David H Rominger; William Gowen-MacDonald; Christopher M Lam; Scott M Dewire; Jonathan D Violin; Robert J Lefkowitz Journal: Mol Pharmacol Date: 2011-05-24 Impact factor: 4.436
Authors: Tobias Langenhan; Maureen M Barr; Michael R Bruchas; John Ewer; Leslie C Griffith; Isabella Maiellaro; Paul H Taghert; Benjamin H White; Kelly R Monk Journal: Mol Pharmacol Date: 2015-05-15 Impact factor: 4.436
Authors: Chao Lu; Chuanjie Wu; Delaram Ghoreishi; Wei Chen; Lingle Wang; Wolfgang Damm; Gregory A Ross; Markus K Dahlgren; Ellery Russell; Christopher D Von Bargen; Robert Abel; Richard A Friesner; Edward D Harder Journal: J Chem Theory Comput Date: 2021-06-07 Impact factor: 6.006
Authors: Roland R Griffiths; Matthew W Johnson; Michael A Carducci; Annie Umbricht; William A Richards; Brian D Richards; Mary P Cosimano; Margaret A Klinedinst Journal: J Psychopharmacol Date: 2016-12 Impact factor: 4.153
Authors: Peter Gasser; Dominique Holstein; Yvonne Michel; Rick Doblin; Berra Yazar-Klosinski; Torsten Passie; Rudolf Brenneisen Journal: J Nerv Ment Dis Date: 2014-07 Impact factor: 2.254
Authors: Christian B M Poulie; Eline Pottie; Icaro A Simon; Kasper Harpsøe; Laura D'Andrea; Igor V Komarov; David E Gloriam; Anders A Jensen; Christophe P Stove; Jesper L Kristensen Journal: J Med Chem Date: 2022-09-13 Impact factor: 8.039