Stefan M Noha1, Helmut Schmidhammer2, Mariana Spetea2. 1. Computer-Aided Molecular Design (CAMD) Group, Department of Pharmaceutical Chemistry, Institute of Pharmacy and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck , Innrain 80-82, 6020 Innsbruck, Austria. 2. Opioid Research Group, Department of Pharmaceutical Chemistry, Institute of Pharmacy and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck , Innrain 80-82, 6020 Innsbruck, Austria.
Abstract
Among opioids, morphinans are of major importance as the most effective analgesic drugs acting primarily via μ-opioid receptor (μ-OR) activation. Our long-standing efforts in the field of opioid analgesics from the class of morphinans led to N-methylmorphinan-6-ones differently substituted at positions 5 and 14 as μ-OR agonists inducing potent analgesia and fewer undesirable effects. Herein we present the first thorough molecular modeling study and structure-activity relationship (SAR) explorations aided by docking and molecular dynamics (MD) simulations of 14-oxygenated N-methylmorphinan-6-ones to gain insights into their mode of binding to the μ-OR and interaction mechanisms. The structure of activated μ-OR provides an essential model for how ligand/μ-OR binding is encoded within small chemical differences in otherwise structurally similar morphinans. We reveal important molecular interactions that these μ-agonists share and distinguish them. The molecular docking outcomes indicate the crucial role of the relative orientation of the ligand in the μ-OR binding site, influencing the propensity of critical non-covalent interactions that are required to facilitate ligand/μ-OR interactions and receptor activation. The MD simulations point out minor differences in the tendency to form hydrogen bonds by the 4,5α-epoxy group, along with the tendency to affect the 3-7 lock switch. The emerged SARs reveal the subtle interplay between the substituents at positions 5 and 14 in the morphinan scaffold by enabling the identification of key structural elements that determine the distinct pharmacological profiles. This study provides a significant structural basis for understanding ligand binding and μ-OR activation by the 14-oxygenated N-methylmorphinan-6-ones, which should be useful for guiding drug design.
Among opioids, morphinans are of major importance as the most effective analgesic drugs acting primarily via μ-opioid receptor (μ-OR) activation. Our long-standing efforts in the field of opioid analgesics from the class of morphinans led to N-methylmorphinan-6-ones differently substituted at positions 5 and 14 as μ-OR agonists inducing potent analgesia and fewer undesirable effects. Herein we present the first thorough molecular modeling study and structure-activity relationship (SAR) explorations aided by docking and molecular dynamics (MD) simulations of 14-oxygenated N-methylmorphinan-6-ones to gain insights into their mode of binding to the μ-OR and interaction mechanisms. The structure of activated μ-OR provides an essential model for how ligand/μ-OR binding is encoded within small chemical differences in otherwise structurally similar morphinans. We reveal important molecular interactions that these μ-agonists share and distinguish them. The molecular docking outcomes indicate the crucial role of the relative orientation of the ligand in the μ-OR binding site, influencing the propensity of critical non-covalent interactions that are required to facilitate ligand/μ-OR interactions and receptor activation. The MD simulations point out minor differences in the tendency to form hydrogen bonds by the 4,5α-epoxy group, along with the tendency to affect the 3-7 lock switch. The emerged SARs reveal the subtle interplay between the substituents at positions 5 and 14 in the morphinan scaffold by enabling the identification of key structural elements that determine the distinct pharmacological profiles. This study provides a significant structural basis for understanding ligand binding and μ-OR activation by the 14-oxygenated N-methylmorphinan-6-ones, which should be useful for guiding drug design.
Opioids,
such as morphine (Figure ), have a long history of clinical use as the most
effective analgesic drugs for the alleviation of moderate to severe
acute and chronic pain.[1] Since the structure
elucidation of morphine many years ago, its skeleton and its conversion
to new analogues have been intensively explored.[2,3] Consequently,
the morphinan skeleton (Figure ) has been the basis of numerous drug developments, and several
molecules with distinctive pharmacology are available for patient
use or employed as molecular probes in vitro and in vivo.[2−4] The morphinan class of opioid analgesics includes naturally occurring
alkaloids (e.g., morphine, codeine), semisynthetic derivatives (e.g.,
oxycodone, oxymorphone, buprenorphine), and synthetic analogues (e.g.,
levorphanol, butorphanol). They exert the analgesic action primarily
via activation of the μ-opioid receptor (μ-OR).[1,4] However, the desired analgesic effect is accompanied by undesirable
side effects (e.g., respiratory depression, sedation, nausea, or constipation),
and a considerable proneness to the development of tolerance and dependence
is well-known, albeit most often associated with their long-term use.[1,4,5] The μ-OR, as a member of
the Family A (rhodopsin-like) G protein-coupled receptors (GPCRs)
with a common seven transmembrane (7TM) helical architecture,[6,7] has received constantly significant attention as a prominent drug
discovery target toward pain treatment.
Figure 1
Structures
of morphine, the morphinan scaffold, and 14-oxygenated N-methylmorphinan-6-ones, along with sites targeted for
derivatization (i.e., positions 5 and 14).
Structures
of morphine, the morphinan scaffold, and 14-oxygenated N-methylmorphinan-6-ones, along with sites targeted for
derivatization (i.e., positions 5 and 14).Accordingly, our long-standing interest and research efforts
in
the field of opioid analgesics from the class of morphinans led to
innovative molecules with new substitution patterns and more favorable
pharmacological properties, potent analgesia, and fewer undesirable
effects.[1,4,8,9] Modifications at position 14 of the morphinan skeleton
were targeted and opened a new realm of prospects for drug discovery
and development. Though naturally occurring opioids like morphine
are unsubstituted at position 14 (Figure ), strategies for functionalizing this site
gave rise to pharmacologically attractive molecules. Moreover, position
5 in the morphinan scaffold is recognized to represent a feasible
site for tuning functional activities by influencing interactions
with opioid receptors in this class of ligands.[8,9]Recent advances in structural biology integrating new methodological
approaches together with the development of more and more powerful
computational systems enabled the elucidation of X-ray crystal structures
of many GPCRs in different conformations.[10−12] GPCRs constitute
the largest integral membrane protein family in the human genome and
the most frequently targeted receptor class for therapeutic interventions.[10−12] The emerged structural results are generally considered to be highly
significant when a novel three-dimensional (3D) structure of a rhodopsin-like
GPCR is reported, as they allow an atomic-level investigation of the
structural features that promote ligand binding and selectivity and
ultimately give insights into the mechanism(s) of receptor activation.[13−15] Such 3D structures encompass distinctive conformations (i.e., the
apo form and forms with ligands bound to the binding site of the GPCR
as either agonists or antagonists),[10,13,14] providing profound insight and nowadays allowing
increased accuracy regarding computational modeling in GPCR drug design.[10,11] The X-ray crystal structures of protein–ligand complexes
reveal the location of the binding site, which was shown to be predominately
located within the transmembrane region in the case of rhodopsin-like
GPCRs, while also a certain variability was noticed.[10,14] Deciphering the modifications that occur during activation revealed
a subtle alteration in the binding site among members of this prominent
GPCR family, a contraction in most cases, along with a gross and more
uniform change in the conformation in the region forming the cytosolic
surface.[10,11,15] Furthermore,
with increasing knowledge of the structural biology of the GPCRs,
the essential role of distinct structural motifs, called molecular
switches, in receptor activation was proposed.[14,16] Distinct modifications in the relative orientations of the amino
acid residues constituting these molecular switches are considered
to be pivotal, as these changes are reflected to be accompanied by
substantial alterations in receptor conformation and ultimately in
its function. Specifically, ligand binding to the GPCR results in
molecular switches disrupting stabilized intramolecular interactions,
with notable examples including the tyrosine toggle switch, the ionic
lock mimicking hydrogen, and the 3–7 lock.[14,16,17] As the current understanding is mainly based
on information from experimentally determined X-ray structures, 3D
structures of GPCRs in distinct conformations are awaited with considerable
interest, as they may open up new perspectives in structure-based
drug design,[12−14,17] including the thorough
characterization of the role of molecular switches, which typically
are composed of a few predominately conserved amino acid residues
within the family of rhodopsin-like GPCRs.[14,16]In 2012, the first X-ray crystal structure of the murine μ-OR
was published (PDB ID 4DKL), in which the μ-OR is in complex with the irreversible
morphinan antagonist β-funaltrexamine.[6] Whereas this initial structure represented the receptor in an inactive
state, current research takes advantage of the 3D structure of the
μ-OR in the active conformation, reported in 2015, where the
receptor is cocrystallized with the morphinan agonist BU72 (PDB ID 5C1M).[7] Structure-based discovery campaigns have used the high-resolution
μ-OR structures to computationally dock large libraries of molecules,
seeking ligands with new chemotypes as well as to elucidate the mechanism(s)
by which known ligands (i.e., peptides and small molecules) bind to
the μ-OR and activate the receptor.[18−21] In this study, we have addressed
the active μ-OR structure for structure-based docking of μ-OR
agonists from the class of N-methylmorphinan-6-ones.
Encouraged by the interesting outcomes on the in vitro and in vivo
pharmacology of N-methylmorphinan-6-ones differently
substituted at positions 5 and 14 designed by our group,[8,9] we report for the first time on an explorative structure–activity
relationship (SAR) study aiming to gain mechanistic insights via molecular
docking and molecular dynamics (MD) simulations of ligand/μ-OR
interactions of these potent μ-OR agonists.
Results and Discussion
Structural
Description and Pharmacology of 14-Oxygenated N-Methylmorphinan-6-ones
An outline of the substitution
patterns, pharmacology, and key SARs toward identification of new
μ-OR agonists from the class of N-methylmorphinan-6-ones
as effective analgesics with reduced adverse effects is presented
herein. The targeted 14-oxygenated N-methylmorphinan-6-ones
in this study are listed in Table . In examining the specific functional groups at positions
14 and 5, we observed several important trends. We found that substitution
of the hydroxyl group at position 14 of the clinically used μ-OR
agonist oxymorphone (OM, 1) with a methoxy group, leading
to 14-O-methyloxymorphone (14-OMO, 2a),[22] not only increases the μ-OR
affinity by ca. 9-fold but also results in ca. 40-fold improved antinociceptive
potency (Table ).
However, compound 2a induces the typical opioid-like
side effects.[22−24] 14-O-Ethyloxymorphone (14-OEO, 3a) (Table ) displayed similar μ-OR affinity and selectivity compared
to its 14-methoxy analogue 2a but exhibited reduced antinociceptive
potency, although the latter was still ca. 300-fold higher than that
of morphine.[25] Replacement of the 14-methoxy
group in 2a with a benzyloxy group resulted in 14-O-benzyloxymorphone (14-OBO, 4a),[23] which retained the high affinity for the μ-OR,
whereas its antinociceptive potency was comparable to that of 2a and ca. 50-fold and 700-fold greater compared with 1 (OM) and morphine, respectively (Table ). The 14-benzyloxy substituted derivative 4a is a μ-OR agonist eliciting limited inhibition of
gastrointestinal motility in mice at analgesic doses. It exhibited
2.5-fold less constipation than morphine, and it was ca. 7-fold less
potent than 2a in this respect.[23]
Table 1
Structures, Binding
Affinities and
Selectivities for the μ-OR, and Antinociceptive Potencies of
Oxymorphone (1) and Investigated 14-Oxygenated N-Methylmorphinan-6-ones (2–6)a
in vitro μ-OR bindingc
ligand
R1, R2b
μ-OR
affinity (Ki, nM)
μ-OR
selectivity vs δ-OR
μ-OR
selectivity vs κ-OR
antinociceptive potencyd
OM (1)
H, H
0.97
83
63
13,e 18,f 10g
14-OMO (2a)
Me, H
0.10
48
102
810,e 300,f 126,g
14-MM (2b)
Me, Me
0.15
89
168
99,e 82,f 94g
14-OEO (3a)
Et, H
0.15
60
91
316e
14-EM (3b)
Et, Me
0.46
26
94
46e
14-OBO (4a)
Bz, H
0.12
18
10
697g
14-BM (4b)
Bz, Me
0.18
20
14
103g
PPOM (5)
PhPr, Me
0.20
0.7
2
2500,e 24000,f 8500g
BOMO (6)
Me, Bz
0.31
42
73
53,f 50g
Data reviewed in refs (8) and (9).
Bz, benzyl; Et, ethyl; Me, methyl;
PhPr, phenylpropyl.
Determined
by in vitro radioligand
binding assays with rat brain membranes.
Relative to morphine, determined
in mice after s.c. administration using the indicated tests.
Acetic acid-induced writhing test.
Tail-flick test.
Hot-plate test.
Data reviewed in refs (8) and (9).Bz, benzyl; Et, ethyl; Me, methyl;
PhPr, phenylpropyl.Determined
by in vitro radioligand
binding assays with rat brain membranes.Relative to morphine, determined
in mice after s.c. administration using the indicated tests.Acetic acid-induced writhing test.Tail-flick test.Hot-plate test.Of particular attention is another oxymorphone analogue,
14-methoxymetopon
(14-MM, 2b) (Table ). Further chemical derivatization in the class of N-methylmorphinan-6-ones using 2a as the lead
targeted position 5 by introducing a 5-methyl group, giving rise to
the new μ-OR agonist 2b.[26] 14-MM maintained the high affinity for the μ-OR in the subnanomolar
range shown by its 5-unsubstituted analogue 2a as well
as μ-OR-mediated agonism, while showing increased μ-OR
selectivity (Table ). Pharmacologically, it is highly efficacious as a μ-opioid
analgesic in various pain models in animals.[23,24,27−30] Moreover, 2b was
generally described to cause less pronounced opioid adverse actions
in terms of respiratory depression,[28] hypotension,[28] bradycardia,[28] constipation,[29] physical dependence,[27] addiction potential,[27] and tolerance[27,31] in comparison with conventional μ-opioid analgesics such as
morphine. Similar observations on the induction of minimal physical
dependence and less development of tolerance to analgesia compared
with morphine were also made for its 14-ethoxy-substituted analogue14-ethoxymetopon (14-EM, 3b).[27]In view of the interesting in vitro and in vivo functional
profile
of 2b, our work in the field of opioid morphinans was
directed toward the design of 14-MM analogues. Chemical work targeted
14-arylalkyloxy-substituted derivatives of 2b, resulting
in 14-benzyloxymetopon (14-BM, 4b)[23] and the 14-phenylpropoxy-substituted analogue (PPOM, 5)[32] (Table ). These derivatives bind with very high
affinity to the μ-OR, comparable to that of 2b.
The μ-OR selectivity was considerably decreased for the 14-benzyloxy
derivative 4b, and a complete loss of μ-OR selectivity
was observed for 5 (Table ). The two 14-arylalkyloxy substituted morphinans 4b and 5 showed very high antinociceptive activity
in mice.[23,32] Remarkable was the observation that PPOM
is an extremely potent agonist in vivo, with not only considerably
improved analgesic potency compared with 2b (up to 400-fold)
and morphine (up to 24000-fold) (Table ) but also greater efficacy even than etorphine (up
to 25-fold),[32] a μ-OR agonist used
in veterinary medicine for anesthesia.The switch from a methyl
group (2b) to a benzyl group
at position 5 resulted in analogue 6 (BOMO)[24] (Table ). This exchange left the affinity for the μ-OR largely
unchanged (Ki = 0.15 nM for 2b vs 0.31 nM for 6) and produced only a modest decrease
(2-fold) in analgesic potency (Table ). Behavioral studies showed that contrary to morphine,
14-OMO (2a), and 14-MM (2b), no significant
alterations in motor activity were induced by 6 at analgesic
doses.[24] These observations indicated that
replacing the 5-methyl group in 2b with a benzyl group
led to a potent antinociceptive agent with reduced propensity to cause
unwanted motor impairment.
Model for Binding of 14-Oxygenated N-Methylmorphinan-6-ones
to the μ-OR: Molecular Docking, Molecular Dynamics, and SAR
Exploration
In order to rationalize our above-described empirical
SAR observations in the series of 14-oxygenated N-methylmorphinan-6-ones 1–6 (Table ), we explored the
ligand/μ-OR interactions and dynamics of the μ-OR upon
ligand binding. We conducted molecular modeling studies by means of
docking and MD simulations, with the latter being nowadays an important
methodology when studying GPCR versatility associated with functioning
and ligand recognition.[12,33] In this study, following
MD simulations, the snapshots collected during the last 10% of a 1
ns trajectory were analyzed in order to elucidate which functional
groups in the targeted morphinans 1–6 form intermolecular hydrogen bonds and to characterize the propensity
of these moieties to be involved in polar interactions. The influence
on an important molecular switch was also examined, specifically,
the 3–7 lock, a link between TM3 and TM7 characterized as a
hydrogen-bonding interaction formed between D1473.32 and
Y3267.43 in the μ-OR.[14,34,35] Opening of the 3–7 lock was earlier proposed
by the group of Khorana to be the first switch activated in rhodopsin,
and possibly it is one of the first switches that can be activated
upon ligand binding in some other rhodopsin-like GPCRs.[35] In the case of the μ-OR, this switch was
predicted to be considerably affected upon binding of an agonist,
resulting in breaking of the hydrogen bond.[34]Our computational approach was initiated by docking of oxymorphone
(1) into the binding pocket of the active structure of
the murine μ-OR. In line with in vitro experimental data on
the high μ-OR affinity (Ki = 0.97
nM),[23] the results of the docking study
revealed that 1 binds to the μ-OR in a highly favorable
manner with all of the predicted interaction patterns (Table ). The polar group at position
3 of 1 is involved in a hydrogen-bonding network formed
with a few water molecules that are present in the binding pocket
and mediate interactions from the ligand to the receptor via H2976.52. When we overlaid the docking solution for 1 with the experimentally determined pose of BU72,[7] a very good overlap was noticed for the 3-phenol group,
the ligand moiety proposed to be involved in a hydrogen-bonding network
(Figure ). This water-mediated
hydrogen-bonding interaction with H2976.52 is seemingly
common to ligands in the morphinan class.[7] Our docking study also revealed that the hydroxyl group at position
14 in 1 forms a hydrogen bond with D1473.32, while as well the involvement in a charge-enhanced hydrogen bond
was predicted, which again is formed to D1473.32. In this
case, the polar interaction is made by the basic nitrogen. Additionally,
the aromatic ring is embedded by several hydrophobic residues (M1513.36, V2365.42, I2966.51, and V3006.55), that are responsible for hydrophobic interactions (Table and Figures A and 4A). Interestingly, during the MD simulations, we observed a characteristic
for 1 that was not found among the other morphinan ligands,
as additional polar contacts were formed by the 3-phenol group with
considerable tendency (Table ). Furthermore, these results indicated that the 3–7
lock switch is not broken in the presence of 1, which
is comparable to the other investigated molecules 2–6 in this class of morphinans.
Table 2
Ligand/μ-OR
Interaction Pharmacophores
Inferred from Molecular Docking Solutions of Oxymorphone (1) and the Investigated 14-Oxygenated N-Methylmorphinan-6-ones
(2–6)
hydrophobic
interactions
hydrogen bonds
ligand
inferred
from the phenol
inferred
from the introduced group
charge-enhanced
hydrogen bond
interactions
mediated by water molecules
OM (1)
M151, V236, I296, V300
NDa
D147
H297
14-OMO (2a)
M151, V236, I296, V300
ND
D147
H297
14-MM (2b)
M151, V236, I296, V300
ND
D147
H297
14-OEO (3a)
M151, V236, I296, V300
ND
D147
H297
14-EM (3b)
M151, V236, I296, V300
I322
D147
H297
14-OBO (4a)
M151, V236, I296, V300
I144
D147
H297
14-BM (4b)
M151, V236, I296, V300
I144
D147
H297
PPOM (5)
M151, V236, I296, V300
W133, V143, I144
D147
H297
BOMO (6)
M151, V236, I296,
V300
I322
D147
H297
ND denotes not
deduced.
Figure 2
Docking pose of oxymorphone
(1) (cyan) compared with
that of the agonist BU72 (magenta) bound to the active μ-OR
crystal structure. Both ligands are oriented in the binding pocket
in a way that the phenolic hydroxyl groups overlay very well, and
interact via water molecules with H2976.52. Amino acid
residues involved in intermolecular hydrogen bonds, i.e., D1473.32 and H2976.52, are shown. Hydrogen bonds are
depicted as green dashed lines, and the binding pocket surface is
color-coded according to interpolated charge (blue/red = positive/negative).
Figure 3
Binding modes presented for the investigated
14-oxygenated N-methylmorphinan-6-ones: (A) 1 (OM), (B) 2a (14-OMO; X = H) and 2b (14-MM; X = Me), (C) 3a (14-OEO; X = H; 14-O-Et group
shown with dashed lines)
and 3b (14-EM; X = Me), (D) 4a (14-OBO;
X = H) and 4b (14-BM; X = Me), (E) 5 (PPOM),
and (F) 6 (BOMO). The binding pocket amino acid residues
predicted to be involved in critical non-covalent interactions are
also shown. Me, methyl; Et, ethyl. Amino acid residues are labeled
using one-letter amino acid codes.
Figure 4
Docking of the investigated
14-oxygenated N-methylmorphinan-6-ones
to the active crystal structure of the μ-OR. Shown are the binding
poses of (A) 1 (OM, c), (B) 2a (14-OMO,
c) and 2b (14-MM, b), (C) 3a (14-OEO, c)
and 3b (14-EM, b), (D) 4a (14-OBO, c) and 4b (14-BM, b), (E) 5 (PPOM, c), and (F) 6 (BOMO, c), where c/b denotes cyan/blue. Hydrogen bonds are
depicted as green dashed lines, and the binding pocket surface is
color-coded according to the interpolated charge (blue/red = positive/negative).
Table 3
Results from MD Trajectories Inspecting
the Propensity To Form Intermolecular Hydrogen Bonds of Oxymorphone
(1) and the Investigated 14-Oxygenated N-Methylmorphinan-6-ones (2–6)
basic nitrogen
4,5α-epoxy group
3-phenol group
ligand
D147
Y326
Y148
H54
Y148
K233
K303
OM (1)a
82%
4%
0%
82%
0%
0%
60%
14-OMO (2a)
78%
40%
20%
0%
0%
0%
0%
14-MM (2b)
82%
32%
6%
0%
0%
0%
0%
14-OEO (3a)
76%
18%
2%
0%
0%
0%
0%
14-EM (3b)
86%
14%
0%
0%
0%
0%
0%
14-OBO (4a)
46%
18%
8%
0%
0%
0%
0%
14-BM (4b)
80%
8%
0%
0%
0%
0%
0%
PPOM (5)
56%
26%
10%
0%
6%
2%
0%
BOMO (6)
16%
74%
34%
0%
38%
4%
0%
Truncated, as intermolecular hydrogen
bonds formed by the 14-hydroxyl group are not included (as this moiety
is unique to OM and not present in the other molecules of the investigated
morphinan class).
ND denotes not
deduced.Docking pose of oxymorphone
(1) (cyan) compared with
that of the agonist BU72 (magenta) bound to the active μ-OR
crystal structure. Both ligands are oriented in the binding pocket
in a way that the phenolic hydroxyl groups overlay very well, and
interact via water molecules with H2976.52. Amino acid
residues involved in intermolecular hydrogen bonds, i.e., D1473.32 and H2976.52, are shown. Hydrogen bonds are
depicted as green dashed lines, and the binding pocket surface is
color-coded according to interpolated charge (blue/red = positive/negative).Binding modes presented for the investigated
14-oxygenated N-methylmorphinan-6-ones: (A) 1 (OM), (B) 2a (14-OMO; X = H) and 2b (14-MM; X = Me), (C) 3a (14-OEO; X = H; 14-O-Et group
shown with dashed lines)
and 3b (14-EM; X = Me), (D) 4a (14-OBO;
X = H) and 4b (14-BM; X = Me), (E) 5 (PPOM),
and (F) 6 (BOMO). The binding pocket amino acid residues
predicted to be involved in critical non-covalent interactions are
also shown. Me, methyl; Et, ethyl. Amino acid residues are labeled
using one-letter amino acid codes.Truncated, as intermolecular hydrogen
bonds formed by the 14-hydroxyl group are not included (as this moiety
is unique to OM and not present in the other molecules of the investigated
morphinan class).Docking of the investigated
14-oxygenated N-methylmorphinan-6-ones
to the active crystal structure of the μ-OR. Shown are the binding
poses of (A) 1 (OM, c), (B) 2a (14-OMO,
c) and 2b (14-MM, b), (C) 3a (14-OEO, c)
and 3b (14-EM, b), (D) 4a (14-OBO, c) and 4b (14-BM, b), (E) 5 (PPOM, c), and (F) 6 (BOMO, c), where c/b denotes cyan/blue. Hydrogen bonds are
depicted as green dashed lines, and the binding pocket surface is
color-coded according to the interpolated charge (blue/red = positive/negative).Next, to attain insights into
the ligand/μ-OR interaction
patterns of targeted 14-O-alkyl- and 14-O-arylalkyl-substituted oxymorphone derivatives 2–6 designed and synthesized in our laboratory (Table ), we directly docked them into
the empty binding pocket of the active receptor. A summary of the
identified ligand/μ-OR interactions is shown in Table . Whereas derivatives 2–6 showed similar binding modes, we also
observed fairly substantial predicted interaction pattern differences
related to specific structural features. Our docking strategy involved
SAR examinations of the influence of the substituents at positions
5 and 14 on ligand binding.Analogous to the parent compound
oxymorphone (1),
all of the active ligands 2–6 at
the μ-OR form a charged interaction with D1473.32 and a hydrogen bond to H2976.52 via a water network (Table ). We also observed
that the presence of small 14-alkoxy groups, such as methoxy and ethoxy
(2a and 3a, respectively), did not substantially
alter the ligand/receptor interaction outline compared to 1, as the polar contacts of these ligands were comparable to those
of 1 except for the hydrogen bond formed by the 14-hydroxyl
group of 1 to D1473.32. This is a unique characteristic,
as in the other molecules this polar group was modified during derivatization.
Intriguingly, in the case of the 14-benzyloxy-substituted derivative 4a (14-OBO), which displayed potent analgesia while being
less constipative in mice,[23] the intermolecular
hydrogen bonds were predicted to be maintained on the basis of a comparison
of the proposed binding mode of this analogue to the docking solution
for compound 2a (14-OMO). In addition, a further hydrophobic
interaction to I1443.29 could be formed by 4a (Table ). Thus,
the importance of the nature of the substituent at position 14 (i.e.,
alkyl vs arylalkyl) for the binding to the receptor was evident not
only from the SAR assessment within the series of compounds 2a–4a but also for 2b–4b. Morphinan 5 carrying a bulky group (i.e.,
phenylpropoxy) at position 14 was recognized to present additional
ligand/μ-OR interactions, as listed in Table .The relevance of the substitution
pattern at position 5 to the
binding mode of the investigated morphinans was examined with interesting
SAR outcomes. In our previous in vitro activity studies, we found
that replacement of the hydrogen (2a–4a) with a methyl group at position 5 (2b–4b) has a minor influence on the binding affinity to the μ-OR.
An improved selectivity for the μ-OR over the δ-OR and
κ-OR was shown by 2b compared with 2a. In the case of the 14-ethoxy analogues 3a and 3b, the μ-OR versus δ-OR selectivity was decreased
for 5-methyl-substituted 3b, while the μ-OR versus
κ-OR selectivity remained unchanged. From a comparison of 14-benzyloxy-substituted 4a and 4b, it was apparent that a methyl group
at position 5 does not considerably alter the μ-OR selectivity
over the other receptor subtypes (Table ). Additionally, the exchange of H for Me
at position 5 (2a vs 2b) results in a marked
improvement in the side-effect profile.[27−29,31] Thus, we noticed that the function of the receptor following ligand/μ-OR
interaction and activation is affected by analogues of the two corresponding
series 2a–4a and 2b–4b in a different manner, as ligands from the latter series
are somewhat less effective concerning analgesic potency (Table ). This may be a consequence
of the different orientation relative to the receptor due to the additional
group at position 5. In turn, this could result in orientations of
certain ligand groups relative to the receptor that are as not optimal
for the formation of non-covalent interactions between the ligand
and the receptor. Specifically, the proposed binding modes of 2a (14-OMO) and 2b (14-MM) differed in their
relative orientation, although the observed differences were minor,
when we accounted for the non-covalent interactions (Table and Figure B). The observed difference in the analgesic
potency is considerable in the case of these two analogues, which
differ only in the substituent at position 5 (Table ). Thus, we recognized that the variation
in the relative orientation appears to have an important influence
on the analgesic potency (Figure B). Then when we evaluated the MD simulation outcomes,
a subtle difference between these potent N-methylmorphinan-6-ones
was observed, indicating that 2a forms a hydrogen bond
between the 4,5α-epoxy group and Y1483.33, which
was inferred in ca. 20% of the snapshots. Contrarily, the propensity
to form a polar contact to this amino acid residue was comparatively
marginal for 2b (Table ).When comparing docking of 3a (14-OEO)
and the corresponding
analogue with a 5-methyl group, 3b (14-EM), we noticed
that in 3a the 14-O-ethyl group was
not oriented in a way that a hydrophobic interaction could be formed,
in contrast to 3b, which interacted with I3227.39 (Table and Figures C and 4C). This result is in agreement with the ca. 3-fold affinity
difference between the in vitro binding affinities and analgesic potencies
of 3a and 3b (Table ). Examination of 4a (14-OBO)
and 4b (14-BM) revealed that the 14-O-benzyl group was in both cases oriented in such a manner that this
moiety was involved in a hydrophobic interaction with I1443.29 (Table and Figure D). Again, the difference
in the relative orientation seems to have a substantial influence
(Figure D), accounting
for the reported analgesic potency difference between 4a and 4b (Table ). Interestingly, following the analysis with MD simulations,
alterations in the non-covalent interactions also became evident,
as we observed that 4a forms a hydrogen bond to D1473.32 with comparatively low susceptibility, whereas 4b was predicted to bind to the μ-OR by forming a tight interaction
with this residue. Furthermore, rather similar to the situation identified
for the 14-ethoxy analogues (3a and 3b),
we observed that a polar contact was formed to Y1483.33 in the case of 4a whereas not by 4b (Table ).Hence, the
5-methyl group introduced during targeted derivatization
has a considerable influence on the ligand/μ-OR interactions
(e.g., it results in enhanced hydrophobic ligand/receptor interactions
and reduced analgesic potency), as the orientation of the oxymorphone
derivatives relative to the receptor is influenced by this modification,
which we consider as crucial. This may influence the orientation of
further groups (i.e., at position 14) that are predicted to interact
favorably with the μ-OR in some cases but not in others (Table ). In addition, our
results suggest that the susceptibility to affect the 3–7 lock
switch upon agonist binding to the receptor may serve as a possible
explanation for the reduced antinociceptive potency, as the tendency
to affect this molecular switch exhibited by the 5-unsubstituted analogues
(2a–4a) with high antinociceptive
potency was comparatively low (50–76%), whereas the corresponding
5-methyl-substituted analogues (2b–4b) with decreased antinociceptive potency affected this molecular
switch with comparatively high tendency (80–86%) (Figure and Table ). The characteristics of 5 and 6 are outlined below, including distinctive
characteristics concerning their probability to affect the 3–7
lock switch. Another structural characteristic that appears to be
critical and may contribute to the difference in the analgesic potency
includes the hydrogen bond to Y1483.33. In case of the
14-methoxy analogues, we observed that this hydrogen bond was made
to Y1483.33 by both analogues, the 5-unsubstituted 2a and the 5-methyl-substituted 2b (Table ). Figure shows a snapshot from the
end of the MD trajectory in which the probability of intermolecular
hydrogen bonding was evaluated for compound 2b (14-MM).
As the difference in the analgesic potency is comparatively moderate
(Table ), this aspect
seemingly influences the analgesic activity, albeit by evening out
the difference in this case. In case of the 14-ethoxy and 14-benzyloxy
analogues, our results indicated that the situation is different.
However, a polar interaction could be observed with the 5-H derivatives
(3a and 4a) but not the 5-methyl-substituted
ones (3b and 4b) (Table ), apparently contributing to the difference
in the analgesic potency, which is fairly marked in case of these
analogues (Table ).
Notably, compound 2b (14-MM), considered as a highly
promising μ-OR agonist, exhibits improved tolerability, albeit
with reduced analgesic potency. This decline in the antinociceptive
potency shown by the 5-methyl-substituted analogues (2b–4b) may be a consequence of the higher tendency
to affect the 3–7 lock switch (Figure ). Interestingly, further light was shed
on these aspects following the analyses of MD trajectories, as the
emerged results indicated that the tendency to form a hydrogen bond
between the 4,5α-epoxy group and Y1483.33 was not
diminished in case of 2b (14-MM) but was in the case
of the other 5-methyl substituted analogues, compounds 3b and 4b (Table ). In turn, this may positively influence the ratio of analgesic
potency to side effects, as we assume that this characteristic is
highly relevant, evening out the difference regarding the analgesic
potency in this case. These two characteristics together may account
for the improved tolerability that was noticed for 2b.
Figure 5
Tendencies to affect the 3–7 lock switch for derivatives
with a 5-H (2a–4a), 5-methyl (2b–4b, 5), or 5-benzyl group
(6). The mean (±1 standard deviation) is delineated
with blue solid (dashed) lines.
Figure 6
Compound 2b (14-MM) is depicted by showing a snapshot
from the end of the MD trajectory, which was calculated to scrutinize
the propensity to form intermolecular hydrogen bonds between the agonist
and the μ-OR. Amino acid residues involved in polar interactions
are illustrated (i.e., D1473.32 and Y1483.33) along with intermolecular hydrogen bonds (green dashed lines).
Tendencies to affect the 3–7 lock switch for derivatives
with a 5-H (2a–4a), 5-methyl (2b–4b, 5), or 5-benzyl group
(6). The mean (±1 standard deviation) is delineated
with blue solid (dashed) lines.Compound 2b (14-MM) is depicted by showing a snapshot
from the end of the MD trajectory, which was calculated to scrutinize
the propensity to form intermolecular hydrogen bonds between the agonist
and the μ-OR. Amino acid residues involved in polar interactions
are illustrated (i.e., D1473.32 and Y1483.33) along with intermolecular hydrogen bonds (green dashed lines).The 14-phenylpropoxy-5-methyl-substituted
derivative 5 (PPOM) was reported by our group to have
an extremely high antinociceptive
potency,[32] even greater than that of etorphine,
a highly active opioid analgesic used in veterinary medicine to immobilize
large animals. However, the selectivity profile was altered in an
unfavorable manner, as the μ-OR selectivity was significantly
reduced compared with those of the other 5-methyl-substituted analogues 2b–4b because of the introduction of the
14-phenylpropoxy group (Table ). The in vitro and in vivo activity profiles of 5 as a high-affinity μ-OR agonist and one of the most effective
opioids regarding its analgesic potency is consistent with the docking
pose (Figure E). We
detected that a further hydrophobic region was targeted, embedding
the phenyl group of 5 in this region formed by hydrophobic
or aromatic residues (i.e., W133, V1433.28, and I1443.29) (Table and Figure E). In
addition to the strong analgesic activity previously demonstrated
for 5,[32] we evaluated its
propensity to interact with the conserved D1473.32 and
detected that the trend to form a charge-enhanced hydrogen bond to
this amino acid residue was only moderate (Table ). Notably, we found that the probability
of 5 to affect the 3–7 lock switch was comparatively
low, comparable to that of 2a (14-OMO), representing
an exception among the 5-methyl-substituted analogues (Figure ). We thereby noticed that
this finding is in agreement with our hypothesis, as both morphinans
show very high (2a) or even remarkable analgesic potency
(5) (Table ).In the SAR exploration on how the nature of the substituent
at
position 5 affects the ligand/μ-OR interaction profile, we compared
5-H (2a), 5-methyl (2b), and 5-benzyl (6) derivatives. Although they all exhibit similar μ-OR
binding affinities (Table ) and polar interactions with D1473.32 and with
H2976.52 via a water network, other important ligand–receptor
contacts are different or unexpected for 6 (BOMO) (Table and Figures F and 4F), as especially evidenced by the analysis of MD simulations. We
noticed that this potent μ-agonist interacts with D1473.32, albeit with reduced proneness, while the polar contact to the nearby
Y3267.43 was formed rather frequently, which is a unique
characteristic of 6. Furthermore, 6 shows
a notable tendency to form a hydrogen bond to Y1483.33,
by either the 3-phenol group, the 4,5α-epoxy group, or both
during 60–70% of the MD trajectory (Table ). Together with a comparatively low propensity
to affect the 3–7 lock switch (Figure ), these results indicated that 6 adopts a unique binding pose in the μ-OR distinct from those
of the other investigated N-methylmorphinan-6-ones.
However, we observed that the basic nitrogen reorients in an unexpected
manner, moving toward Y3267.43 and away from the conserved
D1473.32, the counterpart in the charge-enhanced hydrogen
bond, which is (more or less) common among the other investigated
opioid ligands (Table ) and which basically is sought to consider the molecule promising,
as polar core moieties should be complementary to the environment.
Conclusions
The newly available high-resolution structure
of the μ-OR
in the active state made it possible to analyze the SAR of targeted
14-oxygenated N-methylmorphinan-6-ones (1–6) by enabling the identification of key elements
in the chemical structure that determine their pharmacological profiles.
We have presented the first thorough molecular modeling study aided
by docking and MD simulations of μ-OR agonists 1–6. This SAR analysis represents a basic approach
that sheds light on the subtle interplay between substituents at positions
5 and 14 in the morphinan scaffold. The results from molecular docking
indicate the crucial role of the relative orientation of the ligand
in the μ-OR binding site, thus influencing the propensity of
critical non-covalent interactions that are required to facilitate
ligand/μ-OR interactions and receptor activation. MD simulations
were utilized in order to rationalize the relevance of functional
groups attached during optimization efforts as well as their interrelated
dependence. We inspected molecular characteristics that could provide
a clarification of the differences in ligand binding and analgesic
potency. Our observations pointed toward the differences in the tendency
to affect the 3–7 lock switch by the investigated morphinans,
therefore providing grounds for an explanatory interaction mechanism
to the μ-OR. Among the analogues unsubstituted at position 5,
compounds 2a–4a, a relatively low
tendency was observed, whereas a higher tendency was marked between
the corresponding 5-methyl-substituted derivatives, compounds 2b-4b, for which reduced analgesic potency was
noticed. In turn, the variation was comparatively small in the case
of compound 2b (14-MM) regarding its analgesic potency.
This may be explained by a second critical characteristic, as the
propensity of a hydrogen bond formed by the 4,5α-epoxy group
was minor, though not diminished in this case. Upon the introduction
of a 14-phenylpropoxy group, the resulting μ-OR agonist, PPOM
(5), showed remarkable analgesic potency. Docking of 5 to the μ-OR revealed that the bulky group at position
14 was favorably accommodated in a hydrophobic region of the binding
site, hence explaining its remarkable antinociceptive activity. Explorations
of 1–6 also allowed us to define
an additional SAR at the key position 5 in the morphinan scaffold.
The 5-benzyl-substituted analogue 6 adopted a unique
binding mode in the μ-OR, distinct from the other investigated
14-oxygenated N-methylmorphinan-6-ones. The structure
of the activated μ-OR provides a valuable model for how ligand/μ-OR
binding is encoded within small chemical differences in otherwise
structurally similar morphinan ligands. Altogether, our current analysis
of the SAR that emerged from molecular modeling investigations on
morphinans 1–6 confirms the SAR derived
from pharmacological assessments, thereby providing a molecular understanding
for their μ-OR activities, and opens up opportunities for structure-based
design and discovery of new analgesics with improved pharmacological
profiles and enhanced therapeutic efficacies.
Methods
Hardware
and Software Specifications
All of the molecular
modeling studies were conducted on a workstation running the Windows
7 operating system and equipped with an Intel Xeon E5-1607 v3 CPU,
32 GB of RAM, and high-end NVIDIA graphic devices (Quadro K620 and
Quadro K5000). For molecular docking, preparation of ligands and μ-OR
protein was conducted using Discovery Studio (version 3.0),[36] and the docking was run by employing GOLD version
5.2.[37,38] This was followed by optimization of the
docking poses conducted with the Discovery Studio. The docking solutions
that were retained were evaluated with LigandScout (version 3.1).[39] MOPAC2016[40] was employed
to perform calculations with a semiempirical quantum-mechanical method.
For the calculation of MD simulations, we utilized the appropriate
protocols within Discovery Studio.[36]
Ligand Preparation
The protonation state of the investigated
morphinans was manually adjusted, assigning the basic nitrogen a positive
charge, which was followed by the generation of conformational models.
Hereto, the more exhaustive “BEST” method with a maximum
of 10 conformers per molecule was employed,[41] along with a variant of the generalized Born model (generalized
Born with molecular volume, GBMV[42]) in
order to account for solvent effects.
Molecular Docking
The X-ray crystal structure of the
murine μ-OR in the active conformation (PDB ID 5C1M)[7] was downloaded from the Protein Data Bank (http://rcsb.org/pdb), and the protein
was prepared by employing the protocol “prepare protein”,
followed by the adaptation of two issues, as the protonation state
of H54 was assigned as neutral, accounting for chemical intuition,
while the acidic group of D1473.32 (superscripts indicate
Ballesteros and Weinstein numbering[43])
was adjusted to the ionized form.[44,45] As non-covalent
interactions to the conserved D1473.32 have a pivotal role,[44,45] this amino acid residue was assigned as a constraint directing the
ligand placement. The previous observations of Huang et al.[7] suggested that a few water molecules are of relevance,
as a hydrogen-bonding network from the receptor to the cocrystallized
ligand BU72 was assumed to be mediated by those water molecules. Therefore,
during the docking procedure the docking protocol was adapted to account
for these water molecules, which surround the phenol moiety of BU72
(HOH505, HOH526, and HOH538), by assigning to them a versatile state
(“toggle and spin”). Afterward, the prepared opioid
ligands were docked into the binding pocket of the μ-OR, defined
by protein residues surrounding the cocrystallized ligand BU72 within
a radius of 6 Å, with up to 10 conformers per ligand and 15 runs
per molecule. In addition, enhanced ligand flexibility was employed
during the docking runs (“flip pyramidal N”). This was
then followed by retaining the three docking solutions per ligand
and conformer that were prioritized by the docking score, obtained
using the ChemPLP function,[46] for which
reasonable docking and scoring performance was suggested;[47,48] the consistency of the results was pointed out utilizing the program
GOLD.[49]
Postprocessing and Evaluation
Docking solutions were
next submitted to pose optimization using Discovery Studio. We employed
the module CDOCKER[50] in “full potential
mode” along with the CHARMM force field.[51] Furthermore, a distinct variant for the estimation of partial
atomic charges was employed in the case of the investigated opioid
ligands (i.e., by assigning charges from the CFF force field[52]), while in the case of the valuable and substantial
μ-OR structure the semiempirical quantum-mechanical method PM7[53] was utilized. Finally, the 3D pharmacophores
taken into account for the evaluation were inferred using LigandScout.[39]
Validation
BU72, the morphinan μ-OR
ligand of
the protein cocrystal active structure,[7] was extracted, and following the preparation of this molecule in
a comparable manner as for the other molecules (as atoms/groups were
adjusted manually, which are ionized at physiological pH, and which
was followed by the generation of a conformational model), BU72 was
then docked into the binding pocket of the μ-OR, followed by
a comparison of the docking solutions to the experimentally determined
pose. Following redocking experiments, the results were evaluated
with the calculation of RMSD values for the highest-ranked pose and
the best pose along with the average RMSD of all of the retrieved
poses. Thereby, reasonable performance of the docking protocol was
suggested (RMSD of the highest-ranked and best pose = 0.870 Å;
average RMSD = 0.917 Å), while further improvement was obtained
by submitting the docking poses to pose optimization (RMSD of the
highest-ranked and best poses = 0.546 and 0.515 Å, respectively;
average RMSD = 0.582 Å).
Molecular Dynamics (MD)
Simulations
The investigated
morphinans and μ-OR complexes resulting from molecular docking
and the pose optimization were submitted to MD simulations. Through
the application of MD simulations, the insight gained through the
molecular docking was extended, as MD is considered to serve as a
more profound basis for molecular analysis of ligand recognition.[54,55] We analyzed in more depth the non-covalent interactions formed between
the targeted ligands and the active μ-OR, which was seen as
the case when the propensity of intermolecular hydrogen bonding was
taken into account. The snapshots collected during the last 10% of
a 1 ns trajectory were evaluated following the MD simulations. The
retained snapshots were inspected to elucidate which groups of morphinan
ligands form intermolecular hydrogen bonds and to characterize the
propensities of these ligand moieties to be involved in polar contacts.
Calculations were performed with the CHARMM force field[51] along with the SHAKE algorithm.[56] The protocol “standard dynamics cascade”
was utilized, and following the assignment of constraints, calculations
were performed holding the protein outside the binding pocket rigid,
by taking into consideration recommendations made for this type of
calculation.[57] We selected a suitable variant
to efficiently analyze the MD trajectories, as solvent effects were
taken into account with a relatively fast variant of implicit treatment
(distance-dependent dielectric constants; dielectric constant = 4).
The frequency of snapshots collected during the MD simulations was
increased from 100 fs (default) to 2 ps, while other parameters were
not adjusted (target temperature = 300 K; time step = 1 fs). Afterward,
the evaluation was accomplished by employing the protocol “analyze
trajectory”, which involved appropriate monitoring tools (i.e.,
intermolecular H-bonds and H-bonds).
Authors: Michael A King; Wendy Su; Claire L Nielan; Albert H Chang; Johannes Schütz; Helmut Schmidhammer; Gavril W Pasternak Journal: Eur J Pharmacol Date: 2003-01-17 Impact factor: 4.432
Authors: Johannes Schütz; Mariana Spetea; Martin Koch; Mario D Aceto; Louis S Harris; Andrew Coop; Helmut Schmidhammer Journal: J Med Chem Date: 2003-09-11 Impact factor: 7.446
Authors: Stefan Günther; Christian Senger; Elke Michalsky; Andrean Goede; Robert Preissner Journal: BMC Bioinformatics Date: 2006-06-09 Impact factor: 3.169
Authors: Maria Dumitrascuta; Tanila Ben Haddou; Elena Guerrieri; Stefan M Noha; Lea Schläfer; Helmut Schmidhammer; Mariana Spetea Journal: J Med Chem Date: 2017-11-03 Impact factor: 7.446
Authors: Maria Dumitrascuta; Marcel Bermudez; Olga Trovato; Jolien De Neve; Steven Ballet; Gerhard Wolber; Mariana Spetea Journal: Molecules Date: 2021-05-28 Impact factor: 4.411