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Biophys J, August 1998, p. 612-634, Vol. 75, No. 2
College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109 USA
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ABSTRACT |
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Three-dimensional structures of the transmembrane, seven
-helical domains and extracellular loops of
, µ, and
opioid
receptors, were calculated using the distance geometry algorithm, with
hydrogen bonding constraints based on the previously developed general model of the transmembrane
-bundle for rhodopsin-like G-protein coupled receptors (Biophys. J. 1997. 70:1963). Each
calculated opioid receptor structure has an extensive network of
interhelical hydrogen bonds and a ligand-binding crevice that is
partially covered by a
-hairpin formed by the second extracellular
loop. The binding cavities consist of an inner "conserved region"
composed of 18 residues that are identical in
, µ, and
opioid
receptors, and a peripheral "variable region," composed of 19 residues that are different in
, µ, and
subtypes and are
responsible for the subtype specificity of various ligands. Sixteen
-, µ-, or
-selective, conformationally constrained peptide and
nonpeptide opioid agonists and antagonists and affinity labels were fit
into the binding pockets of the opioid receptors. All ligands
considered have a similar spatial arrangement in the receptors, with
the tyramine moiety of alkaloids or Tyr1 of opioid peptides
interacting with conserved residues in the bottom of the pocket and the
tyramine N+ and OH groups forming ionic interactions or
H-bonds with a conserved aspartate from helix III and a conserved
histidine from helix VI, respectively. The central, conformationally
constrained fragments of the opioids (the disulfide-bridged cycles of
the peptides and various ring structures in the nonpeptide ligands) are
oriented approximately perpendicular to the tyramine and directed
toward the extracellular surface. The results obtained are
qualitatively consistent with ligand affinities, cross-linking studies,
and mutagenesis data.
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INTRODUCTION |
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Three different types of opioid receptors (
,
µ, and
), identified based on their pharmacological properties,
have recently been cloned (see reviews: Reisine, 1995
; Dhawan et al.,
1996
; Zaki et al., 1996
) and assigned to the large superfamily of
rhodopsin-like G protein-coupled receptors (GPCRs). This superfamily of
GPCRs consists of integral membrane proteins that transduce optical and
chemical signals across the cellular membrane (Watson and Arkinstall,
1994
) and share a common 3D structure. The seven-helical structure of
the transmembrane domain has recently been demonstrated by electron
cryomicroscopy (EM) studies of bovine, frog, and squid rhodopsins with
a resolution of 6-9 Å (Schertler et al., 1993
; Unger and Schertler,
1995
; Unger et al., 1997
; Davies et al., 1996
). Many members of the
GPCR family, especially rhodopsin, have been extensively studied by
site-directed mutagenesis and a variety of physicochemical methods.
These experimental data and the analysis of variability and
hydrophobicity patterns in amino acid sequences of GPCRs have made it
possible to assign the transmembrane helices of GPCRs to the peaks in
the rhodopsin EM maps (Baldwin, 1993
), and to construct a number of
different approximate GPCR models (see reviews: Ballesteros and
Weinstein, 1995
; Donnelly et al., 1994
). Some of these models have been
built from the structure of the nonhomologous 7-
-bundle membrane
protein, bacteriorhodopsin (Henderson et al., 1990
), whereas others
have used the low-resolution rhodopsin EM maps and a few experimentally derived constraints to pack together seven "ideal" helices with arbitrarily chosen side-chain conformers (for example, Baldwin, 1997
;
Donnelly et al., 1994
; Herzyk and Hubbard, 1995
). The calculation of a
more precise, atomic-level structure requires refinement of the spatial
positions of entire helices, determination of their precise geometry,
as helices are never "ideal" in proteins (Barlow and Thornton,
1988
), and careful attention to side-chain packing.
To refine the structure of the transmembrane domain, we have developed
and recently described a novel modeling approach that is based on the
presence of numerous polar residues in the hydrophobic, lipid-embedded
-helices of GPCRs (Pogozheva et al., 1997
). It is known that
water-inaccessible polar groups of proteins have a strong tendency to
form H-bonds (McDonald and Thornton, 1994
). In transmembrane
-helices, peptide backbone groups are already paired, whereas the
polar side chains must interact with each other to form intra- or
interhelical H-bonds. The candidate H-bonding pairs can be identified
from the analysis of sequence alignments as polar residues in
intramembrane segments that appear and disappear simultaneously in
various GPCRs. The corresponding H-bonds can then be used as
constraints for packing the seven
-helical fragments by distance
geometry calculations. Moreover, the side-chain H-bonds from many
different GPCRs can be combined to increase the number of
simultaneously applied constraints and to calculate an "average" 7-
-bundle structure. The computational procedure was organized as an
iterative refinement with evolving constraints that begins from an
initial model of the
-bundle and continues until each buried polar
side chain of each of the 410 GPCRs considered can participate in at
least one hydrogen bond in the final structure (the root mean square
deviation, r.m.s.d., between the initial and final structures was ~4
Å) (Pogozheva et al., 1997
). This "saturation of hydrogen bonding
potential" (McDonald and Thornton, 1994
) criterion was very sensitive
to structural mistakes during the refinement procedure. The
transmembrane segments of individual GPCRs are hydrophobic and contain
less than 30% polar residues, but when 410 different amino acid
sequences are simultaneously considered, all interhelical contacts
within the
-bundle are "labeled" by polar side chains forming
intramolecular H-bonds. Displacement of any
-helix from its correct
position breaks some H-bonds, producing unpaired polar side chains
within the lipid bilayer in tens or hundreds of GPCRs.
The "average" atomic structure of the
-bundle has been tested by
using it as a template to calculate the transmembrane domains of
specific GPCRs whose H-bonds and close packing of nonpolar side chains
must be compatible with the same common structure. The models of 28 different GPCRs (including vertebrate and invertebrate rhodopsins and a
number of opioid, chemokine, glycoprotein, cationic amine, melatonin,
and purine receptors) were generated by distance geometry, using
H-bonds specific to each receptor, while using the "average" model
to restrain the spatial positions of the helices. Analysis of the GPCR
models reveals many features that are responsible for structural
stability of the transmembrane
-bundle, such as the formation of
extensive networks of interhelical H-bonds, aromatic and
sulfur-aromatic clusters that are spatially organized as "polarity gradients," close packing of side chains throughout the transmembrane domain, and the formation of interhelical disulfide bonds in many GPCRs
(Lomize et al., 1998
). Some other features of the models are related to
biological function and evolution of GPCRs, such as the formation of a
spatially continuous "minicore" of 43 evolutionarily conserved
residues, a multitude of correlated replacements of residues buried
within the core, a Na+ binding site, and complementarity of
receptor binding pockets to many structurally dissimilar,
conformationally constrained ligands (Lomize et al., 1998
).
As has previously been discussed (Pogozheva et al., 1997
; Lomize et
al., 1998
), the GPCR models obtained are consistent with a large body
of experimental data that were not used in deriving the models and that
therefore can serve as an independent control. The model of rhodopsin,
for example (1boj and 1bok Protein Data Bank files), is in agreement
with the arrangement of
-helices in the low-resolution 3D EM maps;
mapping of water- and lipid-accessible rhodopsin residues by chemical
probes; identification of residues surrounding retinal by site-directed
mutagenesis and cross-linking; the orientations of all-trans
and 11-cis retinal relative to the membrane plane and the
distances from the ligand to the intra- and extracellular surfaces,
determined by linear dichroism and fluorescence quenching;
reconstitution studies of opsin with synthetic retinal analogs; the
conformation and environment of the protonated retinal Schiff base,
studied by Raman, Fourier transform infrared, and 13C
solid-state NMR spectroscopies; cross-linking studies; the compensatory replacements of Glu113 (III:3) by Asp90 (II:21)
or Asp117 (II:7); and many other data (Pogozheva et al.,
1997
). (Superscript residue numbers correspond to the particular
receptor sequences. Numbers in parentheses indicate the helix number
(Roman numerals) and the residue position in 26-residue transmembrane
segments, identified by Baldwin (1993)
(Arabic numerals) and shown in
Fig. 1.) The "average" model of the
-bundle is also in agreement with constraints experimentally derived
by site-directed mutagenesis for other GPCRs, such as the proximity of
Asp397 (II:28) and Lys583 (VII:3) in the
lutropin/choriogonadotropin hormone receptor (Fernandez and Puett,
1996
), Asn87 (II:14) and Asn318 (VII:17) in the
gonadotropin-releasing hormone receptor (Zhou et al., 1994
),
Asp120 (II:14) and Asn396 (VII:17) in the
5-HT2A receptor (Sealfon et al., 1995
),
Asp125(III:7) and Lys331(VII:4) in
1B-adrenergic receptors (Porter et al., 1996
), and the
formation of an artificial Zn2+-binding site by histidine
residues incorporated in positions V:
1, V:3, and VI:27 in mutant NK-1
and
opioid receptors (Elling et al., 1995
; Thirstrup et al., 1996
).
The models of cationic amine receptors (Lomize et al., 1998
) are
consistent with accessibilities of residues from helices III, V, and
VII to water-soluble probes (Javitch et al., 1995
; Fu et al.,
1996
) and with a vast sample of site-directed mutagenesis data
demonstrating, for example, the interaction of AspIII:7 with the
protonated amine of ligands (Fraser et al., 1989
; Javitch et al., 1995
;
Ho et al., 1992
; Mansour et al., 1992
, 1997
; Porter et al., 1996
;
Savarese and Fraser, 1992
; Strader et al., 1987
, 1988
; Wang et al.,
1991
, 1993
), the involvement of SerV:6 of
-adrenoreceptors and
SerV:7 of
-adrenoreceptors in H-bond formation with catechol
ligands, the importance of SerV:10 for ligand binding and activation
(Strader et al., 1989
; Wang et al., 1991
; Hwa et al., 1997
), and the
proximity of the indole rings of Trp109 (III:3) and
Trp330 (VII:8) of the
2-adrenoreceptor to
the azido group of iodoazidopindolol, an affinity label for
-adrenergic receptors (Wong et al., 1988
).
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In the present paper, we discuss in detail the 3D structures of
,
µ, and
opioid receptors calculated from the previously developed
"average" model of the transmembrane domain. This is an especially
interesting case for verification of the receptor models by ligand
docking, because the three different opioid receptor types have a
number of structurally distinct, conformationally constrained ligands,
from small, rigid alkaloids to larger cyclic peptides, with
well-studied structure-activity relationships (SARs). In addition, we
have included in the models the tentative structures of the three
extracellular loops, which were calculated by distance geometry.
Although the ligand-binding pocket consists mainly of residues from the
transmembrane
-bundle, the extracellular loops of opioid receptors
have also been shown to be important for interactions with many ligands
(Chen et al., 1995
; Fukuda et al., 1995
; Hjorth et al., 1995
; Meng et
al., 1995
, 1996
; Minami et al., 1996
; Onogi et al., 1995
; Pepin et al.,
1997
; Varga et al., 1996
; Valiquette et al., 1996
; Wang et al., 1994
,
1995
; Xue et al., 1994
, 1995
; Zhu et al., 1996a
,b
), whereas the
extracellular N-terminus can be deleted in µ and
receptors (Kong
et al., 1994
; Surratt et al., 1994
) or exchanged between receptor
subtypes (Meng et al., 1996
) without affecting the ligand binding.
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METHODS |
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The modeling described here was done in three stages: 1)
distance geometry calculations of transmembrane domains of
, µ, and
opioid receptors from the previously determined "average" transmembrane
-bundle structure; 2) modeling of the extracellular loops of the opioid receptors; and 3) incorporation of various opioid ligands into the calculated receptor structures.
Distance geometry calculations of transmembrane
-bundles for
, µ, and
receptors
The transmembrane 7-
-bundles of
, µ, and
opioid
receptors were calculated using their own specific H-bonds, while using the "average" GPCR model to restrain the spatial positions of the
helices, as previously described for bovine rhodopsin (Pogozheva et
al., 1997
). The positions of the helices were restrained by incorporating C
... C
distances from
the "average" model as the upper limits in calculations with the
distance geometry program DIANA (Güntert et al., 1991
). These
C
... C
limits were increased by 1 Å (0.5 Å for distances of the more loosely packed helix I) to allow some
relaxation of the specific receptor structures relative to the
"average" model, i.e., small shifts of helices that are necessary
to adopt the replacements of side chains in the "core" of the
-bundle.
To examine possible H-bonds and to determine conformers of side chains
in opioid receptors, we applied an iterative distance geometry
refinement approach, which we have previously described (Pogozheva et
al., 1997
). Each iteration of the refinement included 1) examination of
the structures calculated in the previous iteration for new potential
H-bonding partners (spatially proximate polar groups that did not form
H-bonds in the previous iteration of the model), for correlations
in sequence alignments and for structural flaws (violations of
constraints, appearance of hindrances or holes produced by incorrectly
packed side chains, helices that are multiply curved by contradictory
constraints or are loosely packed because of insufficient constraints);
2) modification of distance and angle constraints (H-bonds and
conformers of side chains) to increase the number of simultaneously
formed H-bonds, and to correct discovered flaws; and 3) distance
geometry calculations with the modified constraints. The analysis of
calculated structures (step 1) was performed using the program ADJUST
(Pogozheva et al., 1997
) and the molecular modeling software QUANTA
(Molecular Simulations). The constraints and the corresponding
-bundle structure evolved simultaneously during the refinement.
During the refinement, conformers of most side chains were
unequivocally determined. Final systems of H-bonds are shown in Table
1.
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In calculations with DIANA, the
-helix geometry was restrained by
backbone H-bonds (upper limits for NHi... .
O==Ci
4 distances = 1.9 Å, except those
broken by Pro residues) and by dihedral angle constraints (
=
70° to
50°,
=
50° to
30°). Because the program
requires a single chain, the loops connecting
-helices were
approximated by Glyn fragments, with the number of Gly
residues corresponding to the length of each loop in the
-opioid
receptor. In the later iterations of the calculations, glycine residues
in the extracellular loops were replaced with the amino acids
corresponding to the opioid receptor sequences (see below). The
standard target function minimization strategy (Güntert et al.,
1991
) was used for calculations. The weighting factors for upper and
lower distance limits and van der Waals and angle constraints initially
were 1, 1, 0.6, and 20, respectively, and 1, 1, 2.0, and 5 by the final
two iterations. The HisVI:20 and HisVII:4 side chains were considered
to be uncharged, and all other His, Asp (including AspII:14), Glu, Lys,
and Arg side chains were considered charged.
Modeling the extracellular loops
The extracellular domain of the opioid receptors consists of
three loops (EL-1, EL-2, and EL-3), whose tentative structures are
modeled here, and an N-terminus that was not considered (Fig. 1). It is
apparent from the sequence homology of the loops among the
, µ,
and
receptors, that essentially the same structure can be expected
in the different receptor subtypes. EL-1 and EL-3 are rather short
(four or five residues) (Fig. 1), whereas EL-2 is longer (20 residues
in
and µ receptors and 23 residues in the
receptor) and can
interact directly with all opioid ligands, because it partially covers
the binding cavity between helices III and VII in the model of the
transmembrane
-bundle. Initially, only this longer EL-2 was added to
the transmembrane
-bundle for distance geometry calculations. EL-2
connects transmembrane helices (TMHs) IV and V and is attached to TMH
III by a conserved disulfide bond (Watson and Arkinstall, 1994
), giving
this loop a U-like shape (the peptide chain comes from TMH IV toward
TMH III and returns back to TMH V, as shown in Figs. 4 and 5). Both branches of the U-like EL-2 are too short to form any additional
-helices in the calculated models of the transmembrane domain, and
the geometrical constraints imposed by their attachment to TMH III, IV,
and V force them to adopt extended structures. This extended character
of the peptide chain is also consistent with the general (i,
i + 2) pattern of alternate polar and nonpolar side chains
around the disulfide bond in amino acid sequences of opioid receptors
and rhodopsins, for example. The pattern is of the form
p-n-p-Cys-p-n-p-Ar, where p, n, and Ar denote polar, nonpolar, and
aromatic residues, respectively. We suggest that the two extended
antiparallel stretches of EL-2 near the conserved disulfide bond are
paired in a
-hairpin (residues 195-203 in the
, 214-222 in the
µ, 207-215 in the
receptor), and the two remaining fragments of
EL-2, which connect the
-hairpin to helices IV and V, adopt a
nonregular structure. These connections contain Pro, Gly, and polar
residues and are highly variable in families of opioid receptors and
other GPCRs. The characteristic
Pro203-Ser204-Pro205-Ser206
sequence in the
opioid receptor, for example, is an excellent breaker of both
-helix and
-structure. The nonregular structure of these connections can be also suggested based on insertions in this
region arising in many different GPCRs, such as insertions of
Ser220 and Val205-Asp206 residues
in the
receptor (Fig. 1).
The hypothesized
-hairpin formation is supported by several
observations. First, the
-hairpin provides the formation of many
H-bonds between residues that appear and disappear in a correlated manner in amino acid sequences of opioid receptors, such as
Asp216... Thr220, Lys141...
Asp216, Ser214... Gln314, and
His223... Glu310 (present only in µ receptors), Glu118... Gln201,
Glu118... Lys122, and
Ser204... Arg291 (present only in
receptors), and Lys132... Glu209 and
Asp216... His304 (present only in
receptors). Two insertions in EL-2 of the
receptor are also
correlated: they provide simultaneous lengthening of both nonregular
connections between the
-hairpin and transmembrane helices IV and V,
thus allowing the
-hairpin to stay in the same spatial position.
Second, the
-hairpin can readily be inserted in the cavity between
helices III and VII, without the appearance of interatomic hindrances,
and it forms numerous hydrophobic contacts and several hydrogen bonds
with the transmembrane
-bundle. Third, the structure of the
-hairpin itself is stabilized by hydrophobic contacts of several
interacting nonpolar residues (Val196, Leu200,
and Phe202 in the
receptor; Ile215,
Leu219, and Phe221 in the µ receptor; or
Ile208, Leu212, and Phe214 in the
receptor; see Fig. 5). At the same time, several polar residues
(Gln201 in
; Asp216, Thr218,
Thr221 in µ; Glu209, Thr211,
Gln213 in
receptors) are arranged on the opposite face
of the
-hairpin and form H-bonds with each other and with polar
residues from helix III (Glu/Thr/AspIII:
3 and LysIII:1). Fourth, the
presence of several Ser and Thr residues with high
-sheet
propensities in this region (positions 214, 218, 220, and 222 in the µ opioid receptor, for example) is also consistent with the
hypothesized formation of the
-hairpin.
The probable conformation of the
-turn in the
-hairpin can also
be readily identified. Because the
-turn consists of an odd number
of residues (residues 198-200 in
, 217-219 in µ, 210-212 in
receptor), the only allowed standard type is the type I with a G1
-bulge, i.e., the
R
R
L
motif (Sibanda and Thornton, 1991
). This motif is very common in
protein
-hairpins (Sibanda and Thornton, 1991
) and has been shown to
be independently stable in aqueous solution (deAlba et al., 1996
),
because, unlike the "standard" type I and II
-turns, the
R
R
L turn is consistent
with the direction of twist in
-structure (Richardson and
Richardson, 1989
). In the structure of the µ opioid receptor, this
turn is further stabilized by H-bonds formed by the COO
group of Asp216 with the main-chain NH group of
Thr218, and between the side chains of Thr218
and Thr220 (Fig. 5). The consistency of the
-hairpin
with the entire system of distance constraints for the
-bundle was
further verified by distance geometry calculations for
, µ, and
receptors (the H bonds of the
-hairpin are shown in Table 1).
After incorporation of the
-hairpin in the model, the extracellular
ends of TMHs II, III, VI, and VII were extended by one to three
residues (through residues II:28, III:
3, VI:3, and VII:
2), because
these residues can form fragments of amphiphilic helix with nonpolar
side chains facing the lipid environment. This also provides,
simultaneously, many additional intra- and interhelical H-bonds and
hydrophobic contacts between nonpolar side chains. The remaining
extracellular loop fragments (113-117 (EL-1), 190-194 and 204-209
(EL-2), and 290-294 (EL-3) in the
receptor; 130-136 (EL-1),
209-213 and 223-228 (EL-2), and 309-312 (EL-3) in the µ receptor;
123-127 (EL-1), 200-206 and 216-222 (EL-2), and 303-306 (EL-3) in
the
receptor) were simply considered as short, nonregular connections whose tentative structures were defined by distance geometry calculations based on the appearance of correlated H-bonded residues in the loops (such as Arg291-Asp290
and Asp288-Arg292-Asp293, which
simultaneously appear only in EL-3 of the
receptor), and
constraints for dihedral angles
and
, which fix them in the
allowed areas of the Ramachandran map (the intervals of the angles were
constrained similarly to that in the REDAC strategy; Güntert and
Wuthrich, 1991
). The final structures of the extracellular loops in all
opioid receptors provide close packing of Trp and Phe residues
conserved in EL-1 (positions 114 and 116 in
, 133 and 135 in µ,
and 124 and 126 in
receptors) and the orientation of most
tryptophan, tyrosine, and phenylalanine side chains in the loops toward
the lipid-water interface, where they can interact with lipid
headgroups, as is characteristic for membrane proteins (Deisenhofer and
Michel, 1991
; Schultz, 1992
; Grigorieff et al., 1996
).
Final calculations of the transmembrane domains, including the three
extracellular loops, were made using 64, 69, and 70 side-chain H-bonding constraints for
, µ, and
receptors, respectively (Table 1); constraints for dihedral angles of the main chain in the
loops and for all side chains of the transmembrane
-bundle; C
... C
distance constraints taken from
the "average" model; and restraints on the geometry of the TMHs, as
described above. The constraints also included backbone H-bonds in the
-hairpin of the EL-2 fragment (residues 195-203 in
, 214-222 in
µ, 207-215 in
receptor) and a conserved disulfide bond
connecting this
-hairpin to TMH III. Totals of 877, 896, and 884 angle constraints and 691, 690, and 651 distance constraints were used
for calculations of
, µ, and
receptors, respectively.
The calculations with DIANA yielded well-defined sets of structures for
each (
, µ, and
) opioid receptor (pairwise r.m.s.d. of 212 TMH
C
atoms was <0.7 Å for the 10 structures of each
receptor with the lowest target function). The r.m.s.d. between
C
atoms of TMHs of different (
, µ, and
)
receptors was larger (~0.9 Å). All backbone angles of the models are
within the allowed regions of the Ramachandran map, and all side chains
have standard
1-
4 conformers, as is
automatically provided by the dihedral angle constraints (violations of
the individual angle constraints were <10°). A few violations of van
der Waals constraints of ~0.5 Å were present near Pro residues in
-helices; no violations of H-bond distances greater than 0.6 Å were
found. The structures of receptors with the lowest target function were
selected for ligand docking and energy minimization.
Ligand docking
All opioid ligands were inserted manually into the binding
pockets, using the Molecular Modeling module of QUANTA to move the
ligands and control hindrances and receptor-ligand H-bonds. The docking
was simplified by using only rigid or conformationally constrained
ligands (Fig. 2 and Tables
2 and 3)
whose structures have been solved by x-ray crystallography (Bye, 1976
;
Klein et al., 1987
; Urbanczyk-Lipkowska and Etter, 1987
; Verlinde et
al., 1984
; Calderon et al., 1997
; Doi et al., 1990
; Flippen-Anderson and George, 1994
; Griffin et al., 1986
; Lomize et al., 1994
; Collins et
al., 1996
) or NMR spectroscopy (Mosberg and Sobczyk-Kojiro, 1991
;
Collins et al., 1996
). The procedure of manual ligand docking is
similar to assembling a jigsaw puzzle that consists of two semirigid
pieces; however, three circumstances complicated the process. First,
because most of the ligands are not completely rigid, it was necessary
to consider several possible conformers of their flexible elements,
such as the N-cyclopropylmethyl group in morphine, the
N-phenethyl group in fentanyl, or Tyr1 in cyclic
opioid peptides. Second, in a few cases, described in the Results, it
was necessary to adjust conformers of several receptor side chains in
the binding pocket, which were not unequivocally defined by distance
geometry calculations. Third, because the DIANA-generated receptor
structures were not completely identical (although the r.m.s.d of
C
atoms was low: ~0.7 Å), the ligand docking was
performed with two or three structures with the lowest target function.
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The receptor-ligand H-bonds and ion pairs served as important
attachment points for ligand docking. Two such attachment points are
the carboxyl and imidazole groups of AspIII:7 and HisVI:20, respectively, the only polar groups situated at the bottom of the
binding pocket in all three calculated opioid receptor models (
,
µ, and
). The importance of the AspIII:7 and HisVI:20 residues for
binding opioid ligands has been clearly demonstrated by mutagenesis (Befort et al., 1996b
; Mansour et al., 1997
; Surratt et al., 1994
). In
the receptor models, these carboxyl and imidazole groups are arranged
in such a way that they can interact simultaneously with the
N+ and OH groups, respectively, of the Tyr1 or
tyramine group present in most opioid ligands. Importantly, all
surrounding side chains in the bottom of the binding pockets (IleV:4,
IleVI:19, CysVII:6, IleVII:7) can be tightly packed (arranged without
hindrances or holes) with the tyramine fragment of the ligands. It
should be mentioned that, even without consideration of receptor-ligand
H-bonds, the largest ligands, such as norBNI and cyclic peptides, can
be inserted in the binding pockets without hindrances in only one way,
because they occupy nearly all available space within the pockets, and
any shift of the ligands would produce significant overlaps with
surrounding receptor atoms. However, for some smaller ligands, the mode
(or modes) of docking can be determined only if key attachment points
of the interacting molecules (H-bonds or ionic interactions) are
assumed.
Technically, docking of most ligands was performed in two steps. First,
the tyramine fragment of each ligand was placed in the bottom of the
binding pocket to form H-bonds with AspIII:7 and HisVI:20, while the
rest of the ligand molecule was oriented toward the extracellular
surface. Then the spatial position of the ligand molecule and the
conformation of its flexible elements, which are connected to the
tyramine fragment, were adjusted to exclude all hindrances with
receptor atoms and to form additional H-bonds and hydrophobic contacts
in the binding pocket. For example, the cyclic peptides considered
(Table 3) have rigid, well-defined structures of their cycles
(D-Cys-Phe-D-Pen and
D-Pen-Ala-Phe-D-Pen), but have a considerably
more flexible exocyclic Tyr1 residue and side chain of
Phe3 (Deschamps et al., 1996
; Lomize et al., 1996
). Only
structures of the cycles that were determined by x-ray crystallography
(Lomize et al., 1994
; Flippen-Andersen et al., 1994
; Collins et al.,
1996
) were examined here. The structure of the rigid cycle
(D-Cys-
EPhe-D-Pen) for the
µ-selective agonist JH-42 was considered to be close to the crystal
structure of JOM-13 cycle on the basis of theoretical conformational
analysis (Mosberg et al., 1996
). However, during step 2 of the docking
procedure, the
angle of Tyr1, the
angle of the
second residue, and the
1 angles of the
Phe3(4) and Tyr1 side chains in these peptides
were adjusted to allow the formation of additional H-bonds and to
exclude steric hindrances with the receptor. Some details of the
adjustment for the peptides and other opioid ligands are described in
the Results and Discussion. It should be stressed that the bound
conformations obtained for all ligands were identical or very close to
the crystal structures, both geometrically (Tables 2 and 3) and
energetically (the energy differences between crystal and bound
conformations were 0.5-2.0 kcal/mol after energy minimization of the
ligands with the CHARMm force field (Brooks et al., 1983
; Momany and
Rone, 1992
), using a dielectric constant
= 10 and the adopted-basis
Newton-Raphson method). Conformational analyses of peptides from the
JOM-13 and [D-Pen2,D-Pen5]enkephalin
(DPDPE) series have been discussed elsewhere (Lomize et al.,
1994
, 1996
; Mosberg et al., 1994a
,b
, 1996
). The proposed docking modes
were compared with available SAR, cross-linking, and mutagenesis data,
as described in detail in the Results and Discussion for 16 opioid
ligands.
After manual docking of the ligands with the Molecular Modeling module
of QUANTA, the steric overlaps between ligand and receptor atoms did
not exceed 0.5 Å. All remaining hindrances were removed during 35 subsequent iterations of unconstrained minimization of the complexes
with the CHARMm force field (Brooks et al., 1983
; Momany and Rone,
1992
), using a dielectric constant
= 3 and the adopted-basis
Newton-Raphson method. Initial approximations that yielded energies
greater than
2000 kcal/mol after 35 minimization steps were rejected,
because this demonstrated residual hindrances or distorted geometry of
ligands or receptor. The final energies of accepted receptor-ligand
complexes ranged from
2803 to
2176 kcal/mol, and the structures of
these complexes were not altered after short-term minimization: the
r.m.s.d. between atoms of ligand and of receptor binding site residues
from the initial and minimized structures were <0.1 Å.
| |
RESULTS AND DISCUSSION |
|---|
|
|
|---|
Models of
, µ, and
opioid receptors
The calculated
, µ, and
opioid receptor models are nearly
identical within the transmembrane domain (r.m.s.d. of 212 common C
atoms of the TMHs are ~0.9 Å); however, small
differences are observed in the extracellular loops (Fig.
3) because of unequal numbers of residues
among the receptors (Fig. 1). All opioid receptor models have a
ligand-binding cavity that is partially covered by the extracellular
loops (Fig. 4). The loops create an
almost continuous surface, with the
-hairpin formed by EL-2 in the
middle (Fig. 5), surrounded by the
smaller, nonregular EL-1 and EL-3. This region is represented in 3D EM
maps of frog and bovine rhodopsins by a considerable amount of electron
density that does not contain
-helices (Unger et al., 1997
).
|
|
|
The calculated opioid receptors structures have several clusters of
polar side chains that form extensive networks of interhelical hydrogen
bonds (Fig. 6 and Table 1). Four such
clusters consist of a "core set" of polar residues that are
conserved throughout most GPCRs, augmented by more variable, peripheral
polar residues that are connected to the central "core" by H-bonds
(Pogozheva et al., 1997
). The large, polar cluster I consists of
conserved AsnI:18, AspII:14, SerIII:14, AsnVII:13, SerVII:14, and
AsnVII:17 residues (Asn86, Asp114,
Ser154, Asn328, Ser329, and
Asn332 in the µ receptor) and is supplemented, in opioid
receptors, by the more variable TyrI:7, ThrII:18, AsnIII:10,
Ser/CysVII:15 (Tyr75, Thr118,
Asn150, and Cys330 in the µ receptor).
Cluster I contains a cavity that can be filled by water or by a sodium
ion coordinated with oxygens of the AspII:14, AsnIII:10, SerIII:14,
SerVII:14, and AsnVI:17 side chains. Cluster II is formed around the
conserved AsnII:9-TrpIV:11 pair by TyrIII:9, ThrIII:13, ThrIII:17, and
SerIV:15 (Asn108-Trp192 pair and residues
Tyr149, Thr153, Thr157, and
Ser196 in the µ receptor). Cluster III consists of the
conserved AsnII:4 and TyrVII:21 (Asn104 and
Tyr336 in the µ receptor) and the more variable ThrI:28
and AspVII:25 (Thr97 and Asp340 in the µ receptor), and cluster IV consists of the conserved triad
AspIII:24-ArgIII:25-TyrIII:25 (Asp164, Arg165,
Tyr166 in the µ receptor) at the C-terminus of TMH III,
TyrV:22, and ArgVI:3 (Tyr252, Arg280 in the µ receptor) from the ends of helices V and VI and the more variable
TyrII:6, ThrIII:20, SerIII:22, Lys/AsnIV:2, LysIV:4, AsnIV:7, and Asn IV:10 (Tyr106, Thr160,
Ser162, Asn183, Lys185,
Asn188, Asn191 in the µ receptor). Clusters I
and II are situated in the middle of the transmembrane domain, and III
and IV are close to the intracellular surface. These clusters are
present in most GPCRs because they contain many conserved polar
residues. The opposite, extracellular surface of the
-bundle, which
includes the binding pocket, forms several smaller "variable" polar
clusters that are specific for different subfamilies of GPCRs. Some of
the subfamily-specific clusters are present in all opioid receptors
(GlnII:24-TyrII:28-AspIII:7-TyrVII:11-His/TyrVII:4 and
TyrIII:8-Asp/GluV:-1-LysV:3
(Gln124-Tyr128-Asp147-His310-Tyr316
and Tyr148-Glu229-Lys233 in the µ receptor)), whereas others are found only in µ (Thr137-Lys140-Asp216-Thr218-Thr220,
Ser214-Asn230-Gln314-His223-Glu310,
and Tyr299-Lys303-Ser317; Figs. 5
and 6),
(Glu118-Lys122-Gln201,
Ser204-Arg291-Asp290, and
Asp288-Arg292-Asp293), or
(Asp128-Lys132-Glu209-Gln213,
Lys200-Arg202-Asp204-Asp217-Glu218-Ser220,
Glu297-Thr302-Ser311-Tyr312,
and Asp206-Asp216-His304; Table 1)
subtypes. Extracellular loops 2 and 3 are connected by a
His223... Glu310 H-bond in the µ receptor
(Asp216... His304 and
Ser204... Arg291 in
and
receptors,
respectively). This H-bond is probably structurally important, because
alkylation of His223 by N-ethylmaleimide in the µ receptor reduces the binding affinity of several opioid ligands
(Shahrestanifar et al., 1996
).
|
The positions and tilts of the helices of the transmembrane domain of
our models differ from all previously published models of opioid
receptors (Alkorta and Loew, 1996
; Befort et al., 1996b
; Cappelli et
al., 1996
; Knapp et al., 1995
; Habibi-Nezhad et al., 1996
; Metzger et
al., 1996
) and other GPCRs that have been deposited in the PDB
(Bernstein et al., 1977
), GPCRDB (http://swift.embl-heidelberg.de/7tm/) (Oliveira et al., 1993
), and CORD (http://www.opioid.umn.edu) databases. The largest deviations of our
opioid receptor structure (r.m.s.d. of C
atoms in the range of 4.2-6.5 Å) are
observed when compared with the earliest GPCR models, which were
constructed from nonhomologous bacteriorhodopsin structures, or by
using 2D (projection) EM maps of rhodopsin and a few supplementary
experimental constraints. The incorporation of geometric constraints
derived from 3D EM maps of rhodopsins (Herzyk and Hubbard, 1995
) leads
to a model with a smaller (3.9 Å) deviation from our structure.
Recently an improved approximation of the transmembrane domain
structure has been obtained by the direct fit of two kinked and five
straight helices to the 3D EM map of frog rhodopsin (Baldwin et al.,
1997
). This model has the lowest r.m.s.d (3.3 Å for 179 common
C
-atoms; Fig. 7) when
compared with our structures of the transmembrane domain of the
opioid receptor or bovine rhodopsin. The 3.3-Å r.m.s.d. between this
model and our model of
opioid receptor originates from the outward
shifts of helices II and V, the shift of the C-terminus of helix III,
and from an almost one-turn shift of helices V and VI in the direction
perpendicular to the membrane plane in the model of Baldwin et al.
(1997)
. As a result, and as discussed by the authors themselves, the
model of Baldwin et al. (1997)
contradicts some experimental data, such
as the observed formation of a Zn2+ binding cluster in
positions V:-1 and VI:27 and in positions V:3 and VI:27 (Elling et al.,
1995
; Thirstrup et al., 1996
); formation of H-bonds between residues
III:7, V:3, V:6, V:7 and catecholamine ligands (Strader et al., 1987
,
1988
, 1989
; Wess et al., 1991
); interaction of Asp II:14 and Asn VII:17
(Zhou et al., 1994
; Sealfon et al., 1995
); and the contact of Gly
III:11 and Phe VI:12 in rhodopsin (Han et al., 1996a
,b
). All of these
experimental data are simultaneously satisfied in our models (the
models are compared in more detail by Lomize et al., 1998
).
|
Our previously developed model of rhodopsin considered the possible
rotations of several functionally important, conserved side chains
(GluIII:24, TyrV:22, TrpVI:16, LysVII:11, and TyrVII:21) that can
participate in alternative systems of H-bonds, depending on their
possible
1 conformers (
1
60° or
180°) (Pogozheva et al., 1997
). Analysis of physicochemical data for
rhodopsin indicates that conformational rearrangements of these side
chains could take place during photoactivation of rhodopsin. In opioid
receptors, only gauche+ (
1
60°) rotamers of the corresponding TrpVI:16 and TyrVII:11 and the
trans (
1
180°) rotamer of AspIII:24
have H-bond partners and/or lack hindrances with surrounding atoms.
Therefore rotations of the side chains of these residues are unlikely.
On the other hand, rotations of the TyrV:22 and TyrVII:21 side chains
are possible, because there is space in the models for both rotamers.
Consequently, distance geometry calculations were performed with two
different orientations of the TyrV:22 and TyrVII:21 side chains. The
two sets of structures obtained were almost identical (r.m.s.d. ~0.7 Å). Hence the precision of our calculations is insufficient to discriminate the active and inactive conformations of opioid receptors or to reproduce the shifts of transmembrane helices that probably accompany activation of GPCRs (Sakmar and Fahmy, 1995
; Farrens et al.,
1996
; Sheikh et al., 1996
; Shieh et al., 1997
). Consequently, we
incorporated opioid agonists and antagonists into the same receptor
structures, calculated with trans rotamers of the TyrV:22 and TyrVII:21 side chains, earlier assigned to the active conformation of rhodopsin.
Ligand binding
The calculated
, µ, and
receptor structures have deep
binding cavities, situated in the extracellular side of the
transmembrane domain between helices III, IV, V, VI, and VII. These
cavities are partially covered by the extracellular loops and,
especially, by the central
-hairpin connecting TMHs IV and V (Fig.
4). The binding pockets consist of an inner interhelical "conserved
region" that is identical in
, µ, and
opioid receptors
(GlnII:24, TyrII:28, CysIII:0, LysIII:1, ValIII:3, AspIII:7, TyrIII:8,
MetIII:11, LysV:3, IleV:4, PheV:7, TrpVI:16, IleVI:19, HisVI:20,
CysVII:6, IleVII:7, TyrVII:11, and a conserved Cys in EL-2) and a
peripheral "variable region" that consists of residues from the
ends of TMHs (positions III:-3, III:4, V:-1, V:0, VI:23, VI:26, VI:27,
VI:31, VII:-1, VII:0, VII:3, VII:4) and from the extracellular loops
(for example, positions 193, 194, 195, 196, 197, 291, 293 in EL-2 and
EL-3 of the
receptor). The majority of residues in the binding
pocket have fixed side-chain orientations. However, several residues can have different rotamers to accommodate either bound peptides or
alkaloids: AspIII:7 has
1
60° for peptide
ligands and
1
180° for alkaloid ligands; HisVI:20
has
2
120° or
40° when interacting with
peptide or alkaloid ligands, respectively; LysV:3 assumes a
3 angle of 180° or
60°, and Asp/Glu V:-1 has a
1 angle of
60° or 180° in complexes with cyclic
peptides or complexes with other opiates, respectively. Furthermore,
Tyr312 (VII:3) in the
opioid receptor has a
1 angle of
60° for peptide and nonpeptide ligands,
except for norbinaltorphimine (norBNI), which requires
1
180° to provide additional space for this
bulky ligand.
The structures of the binding pockets were tested for complementarity
to 16 rigid or conformationally constrained opioid ligands with very
different chemical structures and sizes (Fig. 2). Peptides from the
DPDPE and JOM-13 series were chosen because they have small rigid
cycles and have been extensively studied by x-ray crystallography
(Flippen-Andersen et al., 1994
; Lomize et al., 1994
; Deschamps et al.,
1996
), NMR spectroscopy (Mosberg et al., 1990
; Mosberg and
Sobczyk-Kojiro, 1991
; Collins et al., 1996
), and theoretical methods
(Froimowitz, 1990
; Wilkes and Schiller, 1991
). Larger linear and cyclic
opioid peptides are too flexible to be useful for verification
of receptor models. It was found that crystal structures of all ligands
examined, except DPDPE, fit the pockets, with only a few flexible
torsion angles, in some cases, needing to be adjusted (Tables 2 and 3).
The largest ligands (such as DPDPE or norBNI) fill almost all of the
available space within the binding cavities and interact with residues
from both "conserved" and "variable " regions. Smaller
alkaloids (such as morphine and naloxone), on the other hand, interact
predominantly with "conserved" residues in the bottom of the
binding cavity, leaving some free space around the ligand. The results
of extensive structure-activity studies of JOM-13 and DPDPE analogs
(Heyl and Mosberg, 1992a
,b
; Mosberg et al., 1994a
,b
; Haaseth et al.,
1994
) and mutagenesis data (Befort et al., 1996a
,b
; Hjorth et al.,
1995
; Meng et al., 1996
; Pepin et al., 1997
; Surratt et al., 1994
;
Valiquette et al., 1996
) were used to verify the ligand docking.
The complementarity of rigid opiates and their binding pockets in the receptor models is evident from two different criteria. First there is a good geometrical fit; the ligands can be inserted in the bottom of the binding pocket without significant hindrances or holes in the area of contact. Second, and even more important, there is a spatial complementarity of groups with similar polarities, such that nearly all polar groups of the ligands form H-bonds with corresponding polar side chains within the binding pocket, whereas all ligand nonpolar (aliphatic and aromatic) groups form stabilizing hydrophobic contacts with nonpolar side chains of the receptors.
Cyclic peptides
The cyclic pentapeptide DPDPE
(Tyr-c[D-Pen-Gly-Phe-D-Pen]OH) is a standard
-selective ligand that is widely used in studies of opioid receptors
(Mosberg et al., 1983
). Its more constrained [D-Cys2, des-Gly3]
(JOM-13) and [L-Ala3] analogs have high
affinities and selectivities, whereas
[D-Ala3]DPDPE is much less potent (Haaseth et
al., 1994
). JH-42 is a modified version of JOM-13 with
EPhe3 and an amidated C-terminus,
modifications that result in a shift in binding selectivity from
to µ (Ho, 1997
). X-ray crystallography shows that DPDPE and
[L-Ala3]-DPDPE have different, unique
structures of their tetrapeptide cycles (Flippen-Anderson et al., 1994
;
Collins et al., 1996
; Deschamps et al., 1996
), whereas JOM-13 is
present in the crystal in two forms (A and B) of its 11-membered ring,
which are similar, except for the configuration of the disulfide bridge
(S-S torsion angles of 89° and
99°, respectively) (Lomize et al.,
1994
). In all crystal structures of these peptides, the
Phe3(4) side chains have gauche+
(
1
60°) rotamers, but Tyr1
orientations are varied (Deschamps et al., 1996
). The crystal structures of DPDPE and related peptides are consistent with NMR spectroscopy solution data, indicating conformational rigidity of the
cycles (Mosberg et al., 1990
; Mosberg and Sobczyk-Koiro, 1991
; Collins
et al., 1996
; Lomize et al., 1996
). However, theoretical conformational
analyses indicate the possibility of several alternative low-energy
structures of the disulfide-bridged cycle in DPDPE (Froimowitz,
1990
; Wilkes and Schiller, 1991
). All exocyclic elements of these
peptides are very flexible in aqueous solution, i.e., they have
undefined angles
and
1 of Tyr1,
of
D-Cys/Pen2, and
1 of
Phe3(4) (Mosberg et al., 1990
; Mosberg and Sobczyk-Koiro,
1991
; Lomize et al., 1994
; Collins et al., 1996
).
JOM-13
The cyclic tetrapeptide JOM-13 was positioned in the
receptor-binding pocket, using crystal structures A and B of its
11-membered cycle, but with adjusted torsion angles for the exocyclic
Tyr1 residue and
1 of Phe3.
First, Tyr1 was positioned in the bottom of the pocket to
simultaneously form H-bonds between its N+ and OH groups
with O
1 of Asp128 (III:7) and
N
2 of His278 (VI:20), respectively (the
corresponding N... O distances are 2.7 and 3.1 Å, respectively, in
the final model of the receptor-ligand complex). This can be done only
in the trans (
1
180°) orientation of
the Tyr1 side chain. Next, the
gauche+ orientation of Phe3
(
1 =
60°) was chosen based on SAR for JOM-13 analogs
(Mosberg et al., 1994b
, 1996
). Then the spatial position of the
disulfide-bridged 11-membered ring relative to the fixed
Tyr1 was adjusted by rotating torsion angles
of
Tyr1 and
of D-Cys2. The ring
position was adjusted simply to remove all significant hindrances
between the ring and surrounding receptor residues. The
receptor-bound conformation thus determined is very close to crystal
structure B of JOM-13, except for the configuration of the disulfide
bridge (S-S torsion angle
90°), which corresponds to
crystal structure A (Table 3).
The bound conformation of JOM-13 geometrically fits the binding pocket
of the
receptor and forms a number of complex-stabilizing H-bonds
and hydrophobic contacts with surrounding receptor residues (Fig.
8). The binding pocket can be arbitrary
divided into subsites that are complementary to smaller structural
elements of JOM-13, i.e., its Tyr1 residue,
D-Cys2-D-Pen4 disulfide
bridge, Phe3 side chain, and C-terminal COO
group. The positively charged nitrogen of Tyr1 is located
in a relatively polar binding subsite formed by several H-bonded
residues from helices II, III, and VII (Gln105(II:24),
Asp128(III:7), Tyr129(III:8), and
His301(VII:4)). The aromatic ring of Tyr1
occupies the bottom of the cavity between Tyr129(III:8),
Met132(III:11), Ile215(V:4),
Trp274(VI:16), His278(VI:20),
Val281(VI:23), Leu300(VII:3),
Cys303(VII:6), and Ile304(VII:7). There are a
few small empty spaces around Tyr1 in the pocket, which can
accommodate methyl groups in the 2' and 6' positions of
Tyr1 and the extra ring of
trans-Hpp1
(trans-3-(4'-hydroxy)-phenylproline), consistent with the
high affinities observed for the corresponding JOM-13 analogs (Mosberg et al., 1994a
). On the other hand, the C
H-atom of
Tyr1 is in close contact with Tyr129(III:8),
and an additional C
-methyl group incorporated here would
experience steric hindrance with the aromatic ring of
Tyr129(III:8), consistent with the decreased affinities of
MeTyr1, Hai1
(6-hydroxy-2-aminoindan-2-carboxylic acid), and Hat1
(6-hydroxy-2-aminotetralin-2-carboxylic acid) analogs of JOM-13 (Mosberg et al., 1994a
). The Tyr129(III:8) side chain also
forms an O
1/4HN H-bond with the first peptide
group of JOM-13, thus explaining the low affinity of
[NMe-D-Cys2]JOM-13 (Heyl, 1991
). Replacements
of Tyr1 by D-Tyr1 and
Tic1 residues, which have entirely different orientations
of the tyrosine ring within the pocket, produce numerous overlaps with
surrounding receptor atoms, which correlates with the observed low
binding affinities of D-Tyr1 and
Tic1 analogs of JOM-13 (unpublished observations).
|
The disulfide bonded
D-Cys2-D-Pen4 pair of
JOM-13 interacts primarily with the side chains of
Thr211(V:0), Thr285(VI:27),
Ile289(VI:31), and Leu300(VII:3).
-Methylation of Cys2 is expected to decrease binding,
because the
Me group would overlap with Leu300(VII:3) in
the model. This is in agreement with the reduced binding affinity found
for [
Me-D-Cys2] JOM-13 (Heyl, 1991
). The
presence of empty spaces near the C
-hydrogens of
D-Cys2 in the model is consistent with the
comparable affinity observed upon replacement of
D-Cys2 by D-Pen2 in
analogs of JOM-13 (Mosberg et al., 1988
).
The Phe3 side chain of JOM-13 (conformer with
1 =
60°) occupies the bottom of a rather large
nonpolar cavity that is extended toward the extracellular side of the
-bundle and is covered by a
-hairpin formed by EL-2 (the aromatic
ring of Phe3 is located below the conserved
Cys121(III:0)-Cys198(EL-2) disulfide bond and
interacts with Gln105(II:24), Leu125(III:4),
Val297(VII:1), and His301(VII:4); see Fig. 11).
The presence of significant empty space in this cavity might allow a
reorientation of the Phe3 side chain from
1 =
60° to
1 = 180°. In this case, the aromatic ring
of Phe3 would occupy an alternate position, above the
disulfide bond, and would interact primarily with residues from EL-2
(Val197, Cys198) and the extracellular terminus
of TMH III (Glu118(III:-3), Cys121(III:0),
Lys122(III:1), Leu125(III:4)). However, in the
model, this would require a shift of the tripeptide ring system of
JOM-13, which creates steric hindrances between Tyr1 of the
peptide and Tyr129(III:8) of the receptor. Therefore, the
preferred orientation of Phe in the
receptor is gauche
(
1 =
60°), in agreement with the high
affinities of [
zPhe3] and [(2R,
3S)MePhe3] analogs of JOM-13 (Mosberg et al., 1994b
,
1996
), in which the
1 angles of residue 3 are fixed in
this orientation. The reduced
binding affinity observed for
[
EPhe3]JOM-13, in which
1
of Phe3 is fixed at 180° (Mosberg et al., 1996