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Vol. 63, Issue 1, 36-43, January 2003
Departments of Neurology (B.J.E., S.C.S.), Physiology and Biophysics (I.V., H.W.), Pharmacology and Biological Chemistry (H.W., S.C.S.), and the Fishberg Research Center in Neurobiology (S.C.S.), Mount Sinai School of Medicine, New York, New York
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Abstract |
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Based on experiment and computational simulation, we present a structural explanation for the differing efficacies of indole agonists at the human serotonin 5-HT2A receptor (5HT2AR). We find that serotonin [5-hydroxytryptamine (5-HT)] forms hydrogen-bonds with Ser3.36 in helix 3 and Ser5.46 in helix 5. Disruption of these hydrogen bonds by methyl-substitution of the cationic primary amine or of the backbone N1-amine, respectively, leads to a reduction in agonist efficacy. Computational simulation predicts that mutation of Ser3.36 to Ala should allow a similar interaction with helix 3 both for agonists that have unmodified cationic amine side chains and for those with substituted amines. Experimentally, this mutation was found to largely eliminate the differences in efficacy caused by cationic amine substitution for a series of indole congeners. Similarly, substitution of the N1-amine, which interacts with Ser5.46, reduced efficacy more markedly at the wild-type (WT) than at the Ser5.46Ala mutant receptor. Computational modeling of binding pocket interactions of ligands with WT and mutant receptor constructs demonstrate how the Ser3.36 and Ser5.46 interactions serve to modify the agonist's favored position in the binding pocket. A striking correlation was found between differences in the position assumed by the indole ring and differences in agonist activity. These data support the hypothesis that the position of the agonist interacting with the receptor is influenced by specific interactions in helices 3 and 5 and determines the degree of receptor activation by agonist through a mechanism that is likely to be shared by other G-protein coupled receptors in this class.
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Introduction |
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Structure-function
studies in many G protein-coupled receptors have identified ligand
docking sites that are used differentially by specific agonists (for
some reviews see (Ballesteros and Weinstein, 1995
; Portoghese, 2001
;
Shi and Javitch, 2002
; Visiers et al., 2002a
). We showed that in
binding to the 5-HT2AR, the charged amine side chain of 5-HT interacts
with both Asp3.32 and Ser3.36, but that
N,N-dimethyl 5-hydroxytryptamine
(N,N-dMe-5-HT) and d-lysergic acid
diethylamide (LSD) do not interact with Ser3.36 because the substituted
amine produces a steric clash (Almaula et al., 1996b
). Such differences
in the mode of interaction of various ligands in the receptor binding
pocket affect not only affinity (Almaula et al., 1996b
) but can also
change the manner in which the ligand is docked in the receptor. The
5HT2AR is ideally suited for probing the pharmacological consequences
of such changes in the binding pattern of ligands and the specific
molecular mechanisms by which ligand-receptor interactions can
influence efficacy, because of the availability of a series of
structural congeners that vary in maximal response they can elicit
relative to that of 5-HT (E
). These
observations suggest that partial agonism can result from alterations
in a specific mode of docking the ligand in the receptor. In the
present study, we demonstrate that this is a general phenomenon for
indoleamine agonists and explore the underlying molecular mechanism
whereby altered positioning is translated into altered efficacy. The
results provide the basis for proposing a structure-based mechanistic
hypothesis for the molecular mechanism of partial agonism. This
hypothesis is supported by data collected specifically with the
5-HT2AR, but it involves conserved structural motifs (Visiers et al.,
2002a
) that are likely to make the findings applicable to many
neurotransmitter receptors.
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Materials and Methods |
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Residue Numbering Scheme.
Receptor residues are numbered
according to a consensus numbering scheme described previously
(Ballesteros and Weinstein, 1995
). For the 5HT2AR used in this study,
Ser159 in helix 3 is Ser3.36 and Ser242 in helix 5 is Ser5.46.
Cell Lines and DNA Constructs.
Constructs for the WT and
mutant receptors were prepared as described previously (Sealfon et al.,
1995
). The inserts were subcloned from pAlter (Promega, Madison WI) by
SmaI-XbaI digestion. For expression, the insert
was subcloned into the EcoRV and XbaI sites of
pcDNA3 (Invitrogen, Carlsbad, CA). The mutations were confirmed by
sequencing the mutation site in the expression vector. For radioligand
binding studies, COS-1 cells were transiently transfected with WT,
Ser3.36Ala, and Ser5.46Ala mutant 5HT2AR constructs as described
previously (Ebersole and Sealfon, 2002
). For functional studies, stable
cell lines were derived by transfection of human embryonic kidney 293 cells as described previously (Ebersole and Sealfon, 2002
).
Radioligand Binding.
[3H]Ketanserin
saturation and competition binding assays were carried out with
membranes prepared from transfected COS-1 cells, and data were analyzed
as described previously (Ebersole and Sealfon, 2002
). Competition
binding data were fit to a one-site model for reasons we have described
previously (Almaula et al., 1996a
). For those experiments in which the
slope factors were less than unity, fit to a two-site model in general
did not improve the fits. The addition of guanine nucleotides to the
incubation mixtures did not change the slope factors of those
competition curves with slope factors of less than 1, which suggests
that the presence of interconverting affinity states is not the reason
for shallow slope factors. Therefore, the
Ki values reported are apparent Ki values to facilitate comparison of
ligand affinities when different concentrations of radioligand were used.
Phosphatidylinositol Turnover.
The accumulation of
[3H]inositol phosphates
([3H]IP) was measured as described previously
(Ebersole and Sealfon, 2002
). The response to all ligands in all lines
was linear for at least 20 min; therefore, assays were routinely
carried out for 18 min. Because the response in WT cells was linear for
at least 45 min, measurements of Emax
for low-efficacy ligands (E

).
Computational Methods.
The protocol for constructing the
three-dimensional model of the transmembrane bundle of the 5HT2AR based
on the rhodopsin structure (Palczewski et al., 2000
) template has been
described previously (Ballesteros and Weinstein, 1995
; Visiers et al.,
2002a
). The ends of all the transmembrane helices and their relative
orientation were determined as described previously (Ballesteros and
Weinstein, 1995
; Ballesteros et al., 1998
; Visiers et al., 2002a
).
Constraints include experimental data for ligand interaction at
positions Asp3.32 (Wang et al., 1993
) and Ser3.36 (Almaula et al.,
1996b
), the orientation of the conserved Arg-cage (Ballesteros et al., 1998
; Shapiro et al., 2002
; Visiers et al., 2002b
) and the aromatic cluster in TM6 (Javitch et al., 1998
; Visiers et al., 2002a
), data from
cysteine scanning mutagenesis (for review, see Ballesteros et al.,
2001
), fluorescence microscopy (Gether et al., 1995
), spin labeling
(Yang et al., 1996
), and the rhodopsin crystal structure (Palczewski et
al., 2000
). Initial positions of the explicit internal waters included
in the model were obtained from a cavity-biased grand canonical
ensemble Monte Carlo simulation (Mezei, 1980
, 1987
, 1989
) using the
program MMC (http://inka.mssm.edu/~mezei/mmc). Bound waters were
identified by chemical potential (Mezei and Guarnieri, 1998
), which was
tuned first to reproduce the experimental density in the "bulk"
water beyond the 5-Å layer surrounding the receptor immersed in a
large water reservoir. A final run of 106 MC step length
was used to extract 10 equally spaced configurations and the external
waters were stripped away, yielding an average of 50 waters per receptor.
carbons. The average of the last
50 ps was calculated after 300 and 600 ps of the production run,
minimized, and used in further comparisons. Conformational differences
are reported as Root Mean Square Difference value (RMSD). Simulations
were done with CHARMM (Brooks et al., 1983Sources of Chemicals. 4-HT, 1-N-Me-5-HT, and 1-N-Me-TRYP were from Sigma/RBI (Natick, MA) as part of the NIMH Chemical Synthesis Program (contract N01MH30003). LSD, 2-bromo-LSD, N,N-dMe-4-HT were from the National Institute on Drug Abuse (Bethesda, MD). N-Me-5-MeOT was from the National Institute of Mental Health (Bethesda, MD). Other drugs were from Sigma/RBI.
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Results |
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Effects of Ser3.36Ala and Ser5.46Ala Mutations on Ligand Affinity
The structures and abbreviations used for the ligands are shown in
Fig. 1. The affinities of the ligands for
the WT and mutant receptors were determined in membranes prepared from
transiently transfected COS cells. Mutation of either Ser3.36 or
Ser5.46 to Ala had little effect on the affinity of the antagonist
[3H]ketanserin [for WT,
Kd = 0.84 nM; for Ser3.36Ala,
Kd = 1.1 nM (Almaula et al., 1996b
);
for Ser5.46Ala, Kd = 0.49 nM (Almaula et al., 1996a
], but the effects on agonists varied:
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Ser3.36Ala.
The effect of Ser3.36Ala mutation on binding
affinity was greatest for ligands with an unsubstituted cationic
nitrogen. Thus, 5-HT, 5-MeOT, 4-HT, and TRYP showed an 8- to 20-fold
decrease in affinity for the mutant receptor (Table
1). In contrast, the affinities of
ligands with di-substituted or ring-embedded cationic nitrogens for the
mutant receptor changed only slightly. This was striking among the
ergoline compounds, where affinities changed 2.2-fold or less. Within a
congeneric series, changes in affinity of mono-substituted ligands
(N-Me-5-HT, N-Me-5-MeOT, and
N-Me-TRYP) were intermediate to those of the unsubstituted
and disubstituted ligands, suggesting a reduced but significant ability
to interact with Ser3.36 in the WT receptor.
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Ser5.46Ala.
5-HT and TRYP showed a 4-fold decrease in affinity
for the Ser5.46Ala mutant receptor (Table
2), as would be predicted from loss of a
favorable hydrogen-bonding interaction with Ser5.46. In contrast,
1-N-Me-5-HT and 1-N-Me-TRYP, whose
N1-substitution would preclude hydrogen bonding with Ser5.46 in the WT
receptor, showed an approximately 2-fold increase in affinity for the
Ser5.46Ala mutant.
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Effects of Ser3.36Ala and Ser5.46ala Mutations on Pharmacological Efficacy
The elimination of the Ser3.36 or Ser5.46 side chains was predicted to lead to a differential repositioning of unsubstituted and substituted agonists in the binding pocket (see computational simulations below) so that their final orientation is more similar than in the WT receptor. If the positioning of a ligand influences the degree of receptor activation, then the Ser-to-Ala mutations should reduce the differences in relative efficacy of substituted and unsubstituted congeners. This predicted role of the interaction with Ser3.36 or Ser5.46 in determining the comparative ability of agonists to activate the receptor was evaluated by measuring the accumulation of [3H]IP in cells stably expressing similar levels of WT or mutant receptors. Bmax values derived from [3H]ketanserin saturation binding studies for WT, Ser3.36, and Ser5.46 were 310 ± 53, 378 ± 73, and 249 ± 60 fmol/mg protein, respectively (mean ± S.E., n = 3-7 determinations).
Ser3.36Ala.
The E


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Ser5.46Ala.
At the WT receptor, the
E





Ligand Orientation in Molecular Models of Receptor Complexes
To explore the relationship of ligand positioning to
E
Orientation of 5-HT and N,N-dMe-5-HT
in the WT Receptor.
The initial placement of 5-HT in the WT was
near optimal (Fig. 3A), yielding a small
RMSD (0.4 Å) between the structures initially and after the
optimization described under Materials and Methods. In
contrast, when N,N-dMe-5-HT was placed in the
same starting orientation as 5-HT in WT, a steric clash between the
methyl group of N,N-dMe-5-HT and the hydroxyl
group of Ser3.36 (distance, 1.8Å) caused a reorganization upon
structural relaxation (RMSD, 2.1 Å compared with the starting
structure). In the new orientation, the methyl-substituted side chain
of N,N-dMe-5-HT avoids the steric clash at 3.6 Å from the Ser3.36 hydroxyl group. The RMSD between the final
conformations adopted by 5-HT and N,N-dMe-5-HT in
the WT receptor after 300 ps of simulation is 1.5 Å (Fig. 3B). At the
end of 600 ps of production run, the two ligands are further separated
(RMSD, 5.3 Å).
|
Orientation of 5-HT and N,N-dMe-5-HT in Ser3.36Ala Mutant Receptor. In this mutant, 5-HT loses the hydrogen bond with Ser3.36 and 5-HT moves away during the simulation (Fig. 3C). Because it is no longer restrained by a double hydrogen bond between its amine nitrogen and both Asp3.32 and Ser3.36 (Fig. 3A), 5-HT is positioned differently from its orientation in the WT receptor. The final orientation of N,N-dMe-5-HT in the Ser3.36A mutant is also the result of the reorganization of the ligand and the protein, but in this case, the steric clash between the methyl group of N,N-dMe-5-HT and the Ala at position 3.36 is weaker than in the WT (the distance between the methyl group and Ala3.36 is 2.1 Å). Consequently, the indole moiety of N,N-dMe-5-HT adopts a final orientation that is near that of 5-HT in the same mutant receptor (RMSD, 1.0 Å for all nonhydrogen atoms) (Fig. 3D).
Orientation of 5-HT and 1-N-Me-5-HT in the WT and
Ser5.46 Ala Mutant Receptor.
In the starting orientation, the
indole nitrogen of 5-HT is positioned at 2.8Å from the Ser5.46
hydroxyl group. In the structure of the complex resulting from the
simulation, a water molecule acts as a bridge between the indole
nitrogen of 5-HT and the Ser5.46 hydroxyl group (Fig.
4A). The methyl group on N1 in
1-N-Me-5-HT would clash against Ser5.46 in a 5-HT-like
starting orientation, but it moves away during the simulation (Fig.
4B). The relatively large RMSD value (3.1 Å) for the two ligands, 5-HT
and 1-N-Me-5-HT, in the WT indicates that they are
positioned quite differently, as seen in Fig. 4, A and B.
|
of Ala5.46). When 1-N-Me-5-HT is docked in the binding site
of the Ser5.46Ala mutant in the same starting orientation as 5-HT, the
mutation decreases the steric clash of the N1-methyl group only
modestly. Consequently, 1-N-Me-5-HT still moves away from
residue 5.46 during the simulation. The displacement of
1-N-Me-5-HT induced by the steric clash avoidance is almost
the same in magnitude and direction as the one that 5-HT undergoes in
the same mutant receptor as a result of the lack of hydrogen bonding to
5.46. Consequently, after simulation, 5-HT and 1-N-Me-5-HT
end up in nearly overlapping orientations (RMSD, 1.1Å) (Fig. 4C)
(Video versions of Figs. 3, A-C, and 4C are available at
http://transport.physbio.mssm.edu/5ht/index2.html).
| |
Discussion |
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The combination of pharmacological studies of WT and mutant
constructs of the 5HT2AR with modeling of the corresponding
ligand-receptor complexes for the series of congeneric compounds
explores the relationship between agonist activity and ligand position
in the receptor. Although not specifically tested in this study,
simulations and previous studies indicate that many side chains in
helices 3, 5, 6, and 7 contribute to the stabilization of the complexes formed by the bulky ligands studied here. These residues include Asp3.32(155), Ser3.36(159), Ser5.38(234), Ser5.46(242), Phe6.51(339), Phe6.52(340), Asp6.55(343), and Ile6.56(344) (Almaula et al., 1996a
,b
;
Roth et al., 1997
; Kristiansen et al., 2000
; Shapiro et al., 2000
;
Visiers et al., 2002a
; I. Visiers and H. Weinstein, unpublished
data). However, the present results and previous reports (Johnson et
al., 1994
; Almaula et al., 1996a
,b
) indicate that only ligands with
free, unsubstituted primary amines interact with Ser3.36 and that
ligands with substitutions on the indole N1 clash at the Ser5.46
position. The changes in the relative E
The largest changes in affinity caused by the Ser3.36Ala mutation are observed for ligands with unsubstituted amines (5-HT, 5-MeOT, 4-HT, and TRYP). Progressively smaller affinity changes are observed with methyl substitution, dimethyl substitution, and ring embedding, respectively. The larger decrease in the affinity of unsubstituted ligands for the Ser3.36Ala mutant receptor is consistent with the loss of one of the two sites of interaction of the ligand with helix 3. It is noteworthy how closely the relative changes in the EC50 values of the ligands for the [3H]IP accumulation response curve parallel the relative changes in ligand binding affinity. Moreover, increases in EC50 values in the mutant receptor are largest for ligands with unsubstituted amines and smallest for ligands with di-substituted or ring-embedded amines (Table 1), thus strengthening the direct relationship between the substitution and the resulting pharmacological response.
The changes in E



The studies of the helix 5 interaction site identify a similar role for
this locus in agonist positioning and agonist activation. The
E

; Visiers
et al., 2002a
). This aromatic cluster, anchored by the conserved
Trp6.48, may serve as the main activation trigger used by this class of
agonists (Visiers et al., 2000
, 2002a
), because it was shown that the
orientation of Trp6.48 changes upon activation (Lin and Sakmar, 1996
).
It seems likely that the favored position and tilt of the indole ring
of the ligands studied here determines its ability to interact with
this aromatic cluster (Visiers et al., 2002a
) and, thereby, its
efficacy to activate the receptor. If eliciting a full agonist response
requires a specific set of ligand-receptor interactions that are
achieved in a particular position of the ligand in the receptor, then
the energetically preferred position of a partial agonist must be different. The full agonist position and its dynamic consequences for
receptor activation may be achievable by the partial agonist with lower
probability than by the full agonist and hence apply only for a
fraction of the ligand's residence time in the receptor.
Our data from mutagenesis and computational simulations provide insight
into the molecular mechanisms underlying partial agonism and explain
how such subtle alterations in ligand structure can lead to altered
agonist efficacy. We propose that ligand positioning in the binding
pocket that is determined by the orienting interactions of ligands with
Ser3.36 and Ser5.46 are required for full agonist activity by virtue of
their effects on ligand positioning in the binding pocket. These
results thus implicate ligand positioning as a major determinant of
drug efficacy. Notably, a cluster of aromatic residues in TM6 has been
proposed as a sensor of such positioning of the agonist (Visiers et
al., 2002a
). This aromatic cluster belongs to the special class of
conserved structural microdomain/functional microdomain motifs that
include as well the Glu/Asp-Arg-Tyr motif in helix 3 and the
Asn-Pro-Xxx-Xxx-Tyr motif in helix 7 and have been shown to conserve
their role in mechanisms of G protein-coupled receptor function (for
review, see Visiers et al., 2002a
; Huang et al., 2001
; Prioleau et al.,
2002
; Visiers et al., 2002b
) for some recent examples). It is very
likely, therefore, that the structurally specific mechanism described
here for the first time to explain the manner in which the position of
the ligand in the binding site affects its pharmacological efficacy, is
generalizable to other families of G protein-coupled receptors in this
class A of rhodopsin-like receptors.
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Acknowledgments |
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We thank Juan Ballesteros for valuable discussions and Irina Ivanova for expert technical assistance.
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Footnotes |
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Received August 8, 2002; Accepted October 11, 2002
Supported by United States Public Health Service grants KO5-DA00060 and DA12923.
B.J.E. and I.V. contributed equally to this study
Address correspondence to: Harel Weinstein, D.Sc., Department of Physiology and Biophysics, Box 1218, Mt. Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029. E-mail: harel.weinstein{at}mssm.edu
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Abbreviations |
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5-HT, 5-hydroxytryptamine;
WT, wild-type;
IP, inositol phosphate;
5HT2AR, 5-HT2A receptor;
RMSD, root-mean-square
difference value;
E
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2 adrenergic receptor: evidence for ligand-specific conformational changes.
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