GPCR subtypes possess distinct functional and pharmacological profiles, and thus development of subtype-selective ligands has immense therapeutic potential. This is especially the case for the angiotensin receptor subtypes AT1R and AT2R, where a functional negative control has been described and AT2R activation highlighted as an important cancer drug target. We describe a strategy to fine-tune ligand selectivity for the AT2R/AT1R subtypes through electronic control of ligand aromatic-prolyl interactions. Through this strategy an AT2R high affinity (Ki = 3 nM) agonist analogue that exerted 18,000-fold higher selectivity for AT2R versus AT1R was obtained. We show that this compound is a negative regulator of AT1R signaling since it is able to inhibit MCF-7 breast carcinoma cellular proliferation in the low nanomolar range.
GPCR subtypes possess distinct functional and pharmacological profiles, and thus development of subtype-selective ligands has immense therapeutic potential. This is especially the case for the angiotensin receptor subtypes AT1R and AT2R, where a functional negative control has been described and AT2R activation highlighted as an important cancer drug target. We describe a strategy to fine-tune ligand selectivity for the AT2R/AT1R subtypes through electronic control of ligand aromatic-prolyl interactions. Through this strategy an AT2R high affinity (Ki = 3 nM) agonist analogue that exerted 18,000-fold higher selectivity for AT2R versus AT1R was obtained. We show that this compound is a negative regulator of AT1R signaling since it is able to inhibit MCF-7breast carcinoma cellular proliferation in the low nanomolar range.
G-protein-coupled receptors (GPCRs) orchestrate
most cellular responses
to neurotransmitters and hormones.[1] They
form a major therapeutic platform for an array of diseases, with 50%
of clinically marketed drugs targeting this receptor family.[2] GPCR subtypes within a subfamily usually possess
distinct functional and pharmacological profiles,[3] and thus development of subtype-selective ligands has immense
untapped therapeutic potential. This is clearly evident for two of
the Angiotensin II (AII) receptor subtypes, AT1R and AT2R. Although
they are recognized with similar affinity by the hormone AII (NH2-DRVYIHPF-OH),[4,5] the effects of AT2R activation
(vasodilation, apoptosis, and antiproliferation) antagonize those
mediated by AT1R (cellular growth and proliferation for AT1).[6,7] Since AT2R stimulation has been implicated in tumor suppression,[8,9] tissue repair and regeneration, this receptor has been assigned
as an important pharmaceutical drug target.[8,10−13] Therefore, a fine-tuning of the different functional responses of
AT1R and AT2R by the use of receptor subtype-selective ligands could
be a powerful therapeutic tool.[12]However, significant challenges are posed for the rational design
of GPCR subtype-selective ligands due to the high sequence conservation
within the receptor subfamily.[3] Indeed,
in the absence of detailed knowledge of ligand–receptor recognition
interactions for AT2R, identification of AT2R-selective ligands came
after long and delicate synthetic efforts.[10,14] Here, we describe a strategy to fine-tune ligand selectivity for
the AT2R/AT1R subtypes through electronic control of ligand aromatic-prolyl
interactions (Figure 1). On the basis of this
strategy, a highly AT2R-selective (18,000-fold higher selectivity
(IC50AT1R/IC50AT2R)) and high affinity agonist
analogue (Ki = 3 nM) that exerted antiproliferative
activity against MCF-7breast carcinoma cells was obtained, pointing
to a rational way to generate highly receptor subtype-selective drugs.
Figure 1
3D model of the AII–AT1R complex and the electronic
tuning
strategy used in this work for AII. (a) Key interactions between the
hormone AII (yellow stick and surface) and AT1R (gray stick), comprising
hydrogen bonds (red dashed line) and hydrophobic contacts (green dashed
line). (b) Conserved regions between AT1R and AT2R depicted in gray
stick and surface; unconserved regions are highlighted in a red stick
representation. ECL1, ECL2 correspond to the extracellular loops 1
and 2 and TM2, 4, 5, and 6 correspond to transmembrane regions 2,
4, 5, and 6, respectively. (c) The sequence of the hormone AII with
its C-terminus highlighted. (d,e) The H6 of AII was altered
in this work with 4-X substituted phenylalanine on the frame of an
electronic strategy to regulate the compactness of the AII C-terminus.
In (d) electron-rich aromatic residues stabilize the aromatic-prolyl
interactions and lead to compactness,[18] and in (e) electron-deficient aromatic residues result in less favorable
aromatic-prolyl interactions and relatively reduced compactness.
Engineering
the Hormone AII To Be Selective for AT2R
Recent exciting
advances in the field of GPCR structural biology
have provided unprecedented insights into the GPCR fold and the ligand
binding pocket architecture.[1] This knowledge
has allowed the generation of models for the AT1R bound to AII.[15−17] AII binds to the two receptors with similar affinity (KdAT1R = 1.8 nM, KdAT2R = 2.3 nM; Supplementary Table
S3). To guide the design of subtype-selective ligands for AT2R/AT1R,
we constructed the receptor models bound to AII and screened for potential
hotspot areas that could be discriminative between the two receptor
subtypes (Figure 1). AT2R and AT1R are characterized
by a sequence identity of 36.5% and similarity of 56.7% (see also
full sequence alignment, Supplementary Figure
S1). Even higher identity (40.4%) and similarity (60.1%) are
observed in the transmembrane region, where a large portion of the
ligand binds. Although in our model AII was embedded in a receptor
area with high conservation in both receptors (gray stick and surface,
Figure 1b), a diverse region was located at
the extracellular loop 2 (ECL2) (red stick, Figure 1b) and the orthosteric pocket (top of TM5 and middle of TM6)
that could serve as a ligand-receptor subtype selectivity region.
At this point, one has to bear in mind that the ECL2 is a very flexible
region and therefore challenging to model. From our model and in accordance
with literature data,[15,16] it was pinpointed that the C-terminus
of AII, which carries a Pro at position 7 followed by Phe (Figure 1c,b), penetrates deeper into the receptor ligand
binding site.3D model of the AII–AT1R complex and the electronic
tuning
strategy used in this work for AII. (a) Key interactions between the
hormone AII (yellow stick and surface) and AT1R (gray stick), comprising
hydrogen bonds (red dashed line) and hydrophobic contacts (green dashed
line). (b) Conserved regions between AT1R and AT2R depicted in gray
stick and surface; unconserved regions are highlighted in a red stick
representation. ECL1, ECL2 correspond to the extracellular loops 1
and 2 and TM2, 4, 5, and 6 correspond to transmembrane regions 2,
4, 5, and 6, respectively. (c) The sequence of the hormone AII with
its C-terminus highlighted. (d,e) The H6 of AII was altered
in this work with 4-X substituted phenylalanine on the frame of an
electronic strategy to regulate the compactness of the AII C-terminus.
In (d) electron-rich aromatic residues stabilize the aromatic-prolyl
interactions and lead to compactness,[18] and in (e) electron-deficient aromatic residues result in less favorable
aromatic-prolyl interactions and relatively reduced compactness.Exploring these unconserved receptor
regions revealed the presence
of more hydrophobic and larger residues that limit the binding pocket
of AT2R relative to AT1R in our obtained structural models (VAT2R
1694 Å3 < VAT1R 1825 Å3; for calculation
see Supporting Information). It could thus
follow that a more hydrophobic and compact motif that exploits this
receptor region should be sought for an analogue to be selective for
AT2R. Similar observations on the ligand-receptor subtype selectivity
were highlighted for other GPCR families such as the nociceptin δ-OR
receptors: although presenting high residue conservation on their
ligand binding site, ligand selectivity for those receptors was based
on a few critical alterations of smaller to larger residues.[19] However, ligand selectivity for β-adrenergic
receptor (AR) subtypes was assigned to polar residue alteration.[20]We postulated that an electronic strategy[18,21] could be adopted in the C-terminus of AII, where Pro7 is located, to control and tune the compactness of the C-terminus
of AII analogues and thus their receptor subtype selectivity (Figure 1c–e). According to this strategy, an aromatic-prolyl
interaction can be stabilized by a C–H/π interaction,
where the aromatic ring donates electron density (π-electron
donor) to the electron-deficient C–H bonds of the pyrrolidine
ring.[18] Therefore, electron-rich aromatic
residues, shaped after appropriate positioning of an electron-donating
group (such as -OH) at the 4-X position of an aromatic ring, preceding
a proline, should have the potential to stabilize the aromatic-prolyl
interaction (Figure 1d). Thus, this interaction
should lead to a more compact conformation for the specific residues
and high selectivity for the AT2R. In contrast, electron-deficient
aromatic residues, created after installing an electron-withdrawing
group (i.e., NO2) at the 4-X position of an aromatic ring,
followed by a proline, should lead to less favorable interactions
and thus lower compactness and lower selectivity for AT2R (Figure 1e). Thus, we hypothesized that appropriate manipulation/tuning
of the electronics of an aromatic ring (position 6 of AII) adjacent
to a proline ring (position 7 of AII) could result in a delicate electronic
control/tuning of C–H/π interactions and thus regulation
of GPCR-ligand subtype selectivity.To test the validity of
this hypothesis, we synthesized AII analogues,
substituting the His at position 6 of the AII with 4-substituted phenylalanine
with electron-rich (-OH), electron-neutral (-H and -OPO3H2), and electron-deficient (-NO2) groups.
To monitor the compactness of the synthesized molecules, we used as
an internal sensor the NMR derived % cis character
of the Aro6–Pro7 amide bond, since it
has been established that the strength of the aro-pro compactness
follows a positive correlation with the cis isomerization
state of the aromatic-prolyl amide bond.[18] The 4-NO2-phenylalanineAII analogue, an electron-deficient
aromatic residue (Hammett substituent constant σpara = 0.78), should mostly disfavor the aro-pro interaction and present
a minor cis conformation, whereas phenylalanine and
phospho-tyrosine (σpara ≈ 0.00 and 0.26, respectively)
should generate moderate compactness and cis conformation.
Finally, tyrosine, an electron-rich aromatic residue (σpara ≈ −0.37), should favor aro-pro compactness.
Supporting this hypothesis, our NMR data indicated that electron-rich
residues favored the aromatic-prolyl interaction and the cis amide bonds, with the following ranking order of aromatic substituents:
−-OH > -H ≈ -OPO3H2 > -NO2 (the % cis was found to be 40%, 20%, 25%,
and 5%, respectively).
[Y]6-AII Shows Enhanced cis Isomerization
and Aromatic-Prolyl Compactness in Solution
To further probe
the [Y]6-AII analogue structure in solution we used NMR.
A selected region of the 1H–1H 2D NOESY
spectrum of the analogue is shown in Figure 2. Interestingly, in aqueous solution [Y]6-AII showed two
distinct sets of proton resonances that correspond to discrete cis and trans conformational populations.
This was in contrast to the native AII where a single set of peaks
was observed, representing the single conformer (trans) (Supplementary Figure S2–S4).
This structural plasticity (coexistence of nearly equal populations
in solution of two different discrete conformations) could be favorable
for recognition selectivity. Due to excellent dispersion of the resonances
of the cis and trans conformers,
deconvolution and complete resonance assignment was achieved (Supplementary Tables S1 and S2). Structure calculations
for the distinctive cis and trans isomers were performed, and the structural origin of the stabilization
of the relevant conformational potencies was mapped (Figure 2). As was expected, for the [Y]6-AII cis isomer the calculations produced a family of structures
with the aromatic rings of Tyr6 and Phe8 stacked
around the Pro7 ring, thus leading to a compact hydrophobic
motif (Figure 2b). The structural architecture
of this motif was found to mimic closely the conformation adopted
by Tyr-Pro-Phe minicores recorded in the crystallographic protein
database (Supplementary Figure S5). The
compactness of the cis over the trans form was also probed through a more reduced accessibility of the
peptide bonds as determined from both the amide proton temperature
coefficients and translational diffusion values (i.e., for Tyr4 we determined a diffusion coefficient of 1.9 × 10–10 m2 s–1 for the cis and 2.3 × 10–10 m2 s–1 for the trans, Supplementary Figure S6).
Figure 2
(a) Selected region of
a 350 ms NOESY spectrum of [Y]6-AII (90% H2O/10%
D2O). The red and green lines
denote the NOE connectivities for the trans and cis isomers, respectively. Solution structures of the distinctive cis (b) and trans (c) conformers of the
engineered AII analogue.
(a) Selected region of
a 350 ms NOESY spectrum of [Y]6-AII (90% H2O/10%
D2O). The red and green lines
denote the NOE connectivities for the trans and cis isomers, respectively. Solution structures of the distinctive cis (b) and trans (c) conformers of the
engineered AII analogue.
[Y]6-AII Analogue Is Selective for AT2R
Since
the [Y]6-AII analogue experimentally fulfilled the
selectivity criteria for AT2R hypothesized at the onset of this study,
we measured its binding to AT1R and AT2R recombinantly expressed in
mammalian cells. Interestingly, the analogue ligated AT2R with high
affinity (Ki = 3.4 ± 0.8 nM), whereas
saturable binding to AT1R was in the submillimolar range (Supplementary Table S3). In order to elucidate
whether the [Y]6-AIIAT2R subtype selectivity was due to
the effectiveness of the electronic tuning of the aromatic-prolyl
interaction, we then performed binding experiments of the rest of
the analogues to the AT1R and AT2R (Figure 3, Supplementary Tables S4 and S5). Notably,
the AT2R/AT1R fold selectivity of all the AII analogues was directly
correlated to the aro-pro compactness of the analogues as described
above (Figure 3, Supplementary
Table S5): the [Y]6-AII analogue presented a 18,000-fold
higher selectivity (IC50AT1R/IC50AT2R); [4-OPO3H2-F]6-AII and [F]6-AII showed
similar receptor subtype selectivities (4479 and 4786, respectively).
In contrast and as expected, [4-NO2-F]6-AII
presented a much lower (26-fold less) selectivity for the AT2R/AT1R
receptor subtypes (694).
Figure 3
(a) Competition binding assays of [Y]6-AII analogue
to AT1R, AT2R wild type, and mutants: AT1R, open circle; wild type
AT2R, black circles; AT2R-Y189A, blue diamonds; AT2R-Y189N, green
triangle; AT2R-F272(6.51)A, red square; AT2R-F272(6.51)H, orange triangle. Kd and Ki values
are given in Supplementary Table S3. (b,c)
Plots of fold selectivity values for the two AII receptor subtypes
(IC50(AT1R)/IC50(AT2R)]) versus % of cis (b) and the value of Hammet substituent constants σpara (c) for the different AII analogues (see also Supplementary Table S5). (d) PC12W cells, either
transduced with the Ad-AT2R or untransduced, were used for the evaluation
of the AT2R agonistic effect of [Y]6-AII in the presence
of either 1 nM AII or [Y]6-AII. Agonist-induced neurite
outgrowth by AII or [Y]6-AII for 24 h stimulation was quantified
by counting neurite-positive cell numbers in five randomly selected
photos/well. The neurite outgrowth-positive cells were defined as
the cells with neurite length longer than their cell diameters. This
experiment was carried out in triplicate and repeated twice.
(a) Competition binding assays of [Y]6-AII analogue
to AT1R, AT2R wild type, and mutants: AT1R, open circle; wild type
AT2R, black circles; AT2R-Y189A, blue diamonds; AT2R-Y189N, green
triangle; AT2R-F272(6.51)A, red square; AT2R-F272(6.51)H, orange triangle. Kd and Ki values
are given in Supplementary Table S3. (b,c)
Plots of fold selectivity values for the two AII receptor subtypes
(IC50(AT1R)/IC50(AT2R)]) versus % of cis (b) and the value of Hammet substituent constants σpara (c) for the different AII analogues (see also Supplementary Table S5). (d) PC12W cells, either
transduced with the Ad-AT2R or untransduced, were used for the evaluation
of the AT2R agonistic effect of [Y]6-AII in the presence
of either 1 nM AII or [Y]6-AII. Agonist-induced neurite
outgrowth by AII or [Y]6-AII for 24 h stimulation was quantified
by counting neurite-positive cell numbers in five randomly selected
photos/well. The neurite outgrowth-positive cells were defined as
the cells with neurite length longer than their cell diameters. This
experiment was carried out in triplicate and repeated twice.
Potential Localization
of the [Y]6-AII Analogue in
the AT2 Receptor: Modeling and Functional Data
In order to
assess the origin of the highest selectivity of the [Y]6-AII analogue to the AT2R over the AT1R, the relevant analogue was
docked into the two receptors (Figure 4). Residues
that interact with the [Y]6-AII analogue in both receptors
(Supplementary Figure S7) are also listed
in Supplementary Table S6 containing their
residue ID as well as the corresponding Ballesteros-Weinstein numbering.[22]
Figure 4
Structure of [Y]6-AII in complex with AT1R (a) and AT2R
(b). [Y]6-AII is shown in yellow stick and surface, and
unconserved regions in AT1R and AT2R are shown in red stick and surfaces.
Red dashed lines correspond to hydrogen bonds, and green dashed lines
to hydrophobic contacts. Residues depicted in blue stick were mutated
for validation of the binding mode.
[Y]6-AII adopted a more compact
and stacked conformation in the Tyr6-Pro7-Phe8 region, as well as a slightly deeper penetration into the
binding pocket of AT2R with respect to AT1R (see also Supplementary Figure S8). To this contributed
unconserved regions between the two receptors that were mainly mapped
in TM5 (top region) and the ECL2 region.Structure of [Y]6-AII in complex with AT1R (a) and AT2R
(b). [Y]6-AII is shown in yellow stick and surface, and
unconserved regions in AT1R and AT2R are shown in red stick and surfaces.
Red dashed lines correspond to hydrogen bonds, and green dashed lines
to hydrophobic contacts. Residues depicted in blue stick were mutated
for validation of the binding mode.On the other hand, unconserved residues in the ECL2 of AT2R
(red
stick and surface, Figure 4) and in particular
the aromatic Y189 that contributes to the formation of
a hydrophobic groove that favorably accommodated V3 of
[Y]6-AII seem to push the analogue deeper in the transmembrane
region of the AT2R to develop the favorable F8 ([Y]6-AII)–F272(6.51) (AT2R) stacking interaction
(the Ballesteros-Weinstein numbering[22] of
F272 is shown in parentheses). Y189 and F272(6.51) of AT2R, which seem to develop the aforementioned
favorable interactions with the N- and C-termini of [Y]6-AII, are altered to N174 and H256(6.51), respectively,
in AT1R. In order to verify that, among others, these residues are
also responsible for the [Y]6-AII affinity and selectivity
to AT2R/AT1R, we made the following AT2R mutants: Y189A,
Y189N, F6.51A, and F272(6.51)H. These
changes introduced in AT2R polar residues or residues of smaller size
near the ligand binding pocket, thus emulating the environment in
the AT1R ligand binding pocket. Both AII and [Y]6-AII were
used to probe the binding pocket of AT2R and its variants. The affinity
of AII, which has histidine at position 6, was not altered for the
AT2R mutants with respect to the wild type receptor. It was interesting
to note that the affinity of AII was slightly higher for the AT2R
mutants emulating the environment in the AT1R (Y189N and
F272(6.51)H) compared to the Y189A and F272(6.51) AT2R variants (Supplementary
Table S3). However, [Y]6-AII presented a largely
reduced affinity for the AT2R variants by a factor of 4 to 5 folds
with respect to the wild type receptor (Supplementary
Table S3). Overall, these data support the initial hypothesis
that the [Y]6-AII superior selectivity to AT2R is based
on a more hydrophobic and compact binding pocket (compared to AT1R).
[Y]6-AII Analogue Is an AT2R Agonist and a Negative
Regulator of AT1R Signaling
To evaluate if the tight binder
and subtype AT2R-selective [Y]6-AII analogue could serve
as a desired AT2R agonist, we monitored its effect on cell differentiation
(neurite outgrowth) in AT2R-overexpressing PC12W cells. PC12W cells
have been shown to be capable of expressing AT2R in lengthy serum-free
culture conditions,[23] and their neurite
outgrowth is stimulated by AII.[24] As shown
in Figure 3d, both AII and the [Y]6-AII analogue significantly stimulated neurite outgrowth in the AT2R
transduced cells. This phenotype was ligand dose-dependent in the
range of 1 pM to 100 nM for both AII and [Y]6-AII.A functional negative crosstalk among AT2R and AT1R has been extensively
described in several pathophysiological conditions including cancer,[25,26] evidencing AT2R activation as an important cancer drug target.[8,9,27] To probe the efficacy of our
AT2R-selective [Y]6-AII agonist to act as a negative regulator
of AT1R signaling, we focused on MCF-7breast carcinoma cells where
both AT1R and AT2R are expressed[28] and
native AII stimulates cellular proliferation through AT1R binding.[28] We assessed the effect of [Y]6-AII
in MCF-7 cell proliferation by growth curves comparing [Y]6-AII-treated cells with vehicle-treated control cells (Supplementary Figure S11). As was expected, [Y]6-AII efficiently inhibited MCF-7 proliferation at concentrations
of 10–8 M and showed evidence of antiproliferative
effects at 10–9 M (IC50 of ∼5
× 10–8 M).Here, we demonstrated that
AII receptor subtype selectivity could
be precisely sculpted by tuning the electronic character of a simple
substitution of the hydrogen in the para-position
of phenylalanine introduced at position 6 of AII (4-x-Phe6). Specifically, the [Y]6-AII analogue with an electron-donating
group (-OH) resulted in a selective and high affinity binder for AT2R
(Ki = 3.4 ± 0.8 nM), whereas electron-withdrawing
groups diminished high selectivity for this receptor subtype. Most
importantly, this receptor recognition phenotype is directly correlated
to the compactness of the 4-X-Phe6-Pro7-Phe8 motif induced by this electronic control. AII analogues containing
electron-deficient aromatic residues at position 6 presented reduced
selectivity for the AT2 receptor in contrast to electron-rich aromatic
residues. For instance, [4-NO2-F]6-AII displayed
26 times lower AT2R selectivity in comparison to [Y]6-AII,
but low micromolar affinity for AT1R. Along the same line, [F]6-AII presented almost 4 times lower selectivity for AT2R in
comparison to the [Y]6-AII analogue. This is the first
time that a strategy is described to control ligand-receptor subtype
selectivity via delicate tuning of aromatic electronics. This strategy
could be potentially adapted to other peptidergic GPCR subtypes where
the ligand encompasses a proline or an aromatic-proline motif (i.e.,
see Supplementary Table S7). Indeed, we
were intrigued to indirectly validate the strength of this methodology
through uncovering a correlation of ligand stereoelectronic control
with receptor subtype specificity for the Proteolytically Activated
PAR1 and PAR4 receptor subtypes.[29] Although
authors of this study had not originally pinpointed the stereoelectronic
significance of 4-X-Phe substitution in their strategy to design PAR1/PAR4
selective ligands, they used 4-substituted phenylalanine at position
2 of the GYPGKF native sequence, which carries an electron-rich (-OH),
with electron-neutral (-H), and electron-deficient (-F) groups, and
produced analogues conferring PAR4 selectivity, no receptor subtype
selectivity, and higher PAR1 selectivity, respectively (Supplementary Table S8).The selective,
high affinity, and equipped with discrete conformational
plasticity AT2R analogue [Y]6-AII (we name it AGT2AG),
derived in the frame of this strategy, stimulates the activity of
AT2R in PC12W cells and also inhibits MCF-7breast carcinoma cellular
proliferation. In vivo experiments are currently
underway to test the potential of [Y]6-AII as a negative
regulator in the growth of breast and pancreatic carcinoma cells through
AT2R signaling.
Authors: Andreas G Tzakos; Alexandre M J J Bonvin; Anasstasios Troganis; Paul Cordopatis; Mario L Amzel; Ioannis P Gerothanassis; Nico A J van Nuland Journal: Eur J Biochem Date: 2003-03
Authors: M Nakajima; H G Hutchinson; M Fujinaga; W Hayashida; R Morishita; L Zhang; M Horiuchi; R E Pratt; V J Dzau Journal: Proc Natl Acad Sci U S A Date: 1995-11-07 Impact factor: 11.205
Authors: T Ichiki; P A Labosky; C Shiota; S Okuyama; Y Imagawa; A Fogo; F Niimura; I Ichikawa; B L Hogan; T Inagami Journal: Nature Date: 1995-10-26 Impact factor: 49.962
Authors: Richard Perryman; Alexander Renziehausen; Hamidreza Shaye; Androniki D Kostagianni; Antonis D Tsiailanis; Thomas Thorne; Maria V Chatziathanasiadou; Gregory B Sivolapenko; Mohamed Ahmed El Mubarak; Gye Won Han; Barbara Zarzycka; Vsevolod Katritch; Guillaume Lebon; Cristiana Lo Nigro; Laura Lattanzio; Sophie V Morse; James J Choi; Kevin O'Neill; Zoi Kanaki; Apostolos Klinakis; Tim Crook; Vadim Cherezov; Andreas G Tzakos; Nelofer Syed Journal: Proc Natl Acad Sci U S A Date: 2022-08-02 Impact factor: 12.779
Authors: U Muscha Steckelings; Robert E Widdop; Edward D Sturrock; Lizelle Lubbe; Tahir Hussain; Elena Kaschina; Thomas Unger; Anders Hallberg; Robert M Carey; Colin Sumners Journal: Pharmacol Rev Date: 2022-10 Impact factor: 18.923
Authors: Daniel Clayton; Iresha Hanchapola; Walter G Thomas; Robert E Widdop; Alexander I Smith; Patrick Perlmutter; Marie-Isabel Aguilar Journal: Front Pharmacol Date: 2015-01-30 Impact factor: 5.810
Authors: Harry Ridgway; Graham J Moore; Thomas Mavromoustakos; Sotirios Tsiodras; Irene Ligielli; Konstantinos Kelaidonis; Christos T Chasapis; Laura Kate Gadanec; Anthony Zulli; Vasso Apostolopoulos; Russell Petty; Ioannis Karakasiliotis; Vassilis G Gorgoulis; John M Matsoukas Journal: Comput Struct Biotechnol J Date: 2022-04-09 Impact factor: 6.155