Protein arginine methylation is a posttranslational modification critical for a variety of biological processes. Misregulation of protein arginine methyltransferases (PRMTs) has been linked to many pathological conditions. Most current PRMT inhibitors display limited specificity and selectivity, indiscriminately targeting many methyltransferase enzymes that use S-adenosyl-l-methionine as a cofactor. Here we report diamidine compounds for specific inhibition of PRMT1, the primary type I enzyme. Docking, molecular dynamics, and MM/PBSA analysis together with biochemical assays were conducted to understand the binding modes of these inhibitors and the molecular basis of selective inhibition for PRMT1. Our data suggest that 2,5-bis(4-amidinophenyl)furan (1, furamidine, DB75), one leading inhibitor, targets the enzyme active site and is primarily competitive with the substrate and noncompetitive toward the cofactor. Furthermore, cellular studies revealed that 1 is cell membrane permeable and effectively inhibits intracellular PRMT1 activity and blocks cell proliferation in leukemia cell lines with different genetic lesions.
Protein arginine methylation is a posttranslational modification critical for a variety of biological processes. Misregulation of protein arginine methyltransferases (PRMTs) has been linked to many pathological conditions. Most current PRMT inhibitors display limited specificity and selectivity, indiscriminately targeting many methyltransferase enzymes that use S-adenosyl-l-methionine as a cofactor. Here we report diamidine compounds for specific inhibition of PRMT1, the primary type I enzyme. Docking, molecular dynamics, and MM/PBSA analysis together with biochemical assays were conducted to understand the binding modes of these inhibitors and the molecular basis of selective inhibition for PRMT1. Our data suggest that 2,5-bis(4-amidinophenyl)furan (1, furamidine, DB75), one leading inhibitor, targets the enzyme active site and is primarily competitive with the substrate and noncompetitive toward the cofactor. Furthermore, cellular studies revealed that 1 is cell membrane permeable and effectively inhibits intracellular PRMT1 activity and blocks cell proliferation in leukemia cell lines with different genetic lesions.
Arginine methylation
is a posttranslational modification catalyzed
by protein arginine N-methyltransferases (PRMTs).
This family of enzymes transfers the methyl group from S-adenosyl-l-methionine (AdoMet, SAM) to the guanidino group
of specific arginine residues, leading to mono- or dimethylated arginine
residues and releasing S-adenosyl-l-homocysteine
(AdoHcy, SAH) as a co-product. This posttranslational modification
regulates a wide diversity of biological processes, from chromatin
remodeling, signal transduction, RNA splicing, and DNA repair to cell
proliferation and differentiation.[1−4] In humans, nine PRMTs have been identified
so far and are classified into two major groups, type I (PRMT1, -3,
-4, -6, and -8) and type II (PRMT5 and -9) according to the specificity
and stereochemistry of the methylated product. Type I PRMT enzymes
catalyze the formation of asymmetric ω-NG,NG-dimethylarginine (ADMA) residues,
whereas the formation of symmetric ω-NG,NG-dimethylarginine (SDMA) residues
is maintained by type II enzymes. PRMT1, the predominant mammalian
type I enzyme, is identified by yeast two-hybrid screening.[5] PRMT1 is ubiquitously expressed and responsible
for over 85% of the arginine methylation in mammalian cells.[6] PRMT1 has been demonstrated to impact a number
of disease pathways. For instance, PRMT1 is an essential element in
the oncogenic MLL fusion complexes and confers an aberrant transcriptional
activation property critical for the induction of leukemia.[7] PRMT1 is also overexpressed in breast cancer
and has altered substrate specificity.[8] PRMT1-variant 2 is a marker of unfavorable prognosis in colon cancerpatients.[9] Importantly, given the close
correlation of PRMT1 activity with the up-regulation of serum ω-NG,NG-asymmetric dimethyarginine amino acid, which
is an endogenous nitric oxide synthase (NOS) inhibitor, PRMT1 has
causal relationship with broad cardiovascular implications and inflammatory
responses such as diabetes and hypertension.[10−12]PRMTs
belong to a highly conserved family of proteins in eukaryotes
with a conserved catalytic methyltransferase domain. The three-dimensional
structures of a few type I PRMTs have been determined.[13,14] The structure of the mammalianPRMT1 revealed a two-domain architecture
composed of a common AdoMet binding domain and a barrel-like domain
with the active site situated between them. Given that the amino acid
sequences constituting the AdoMet binding region in PRMTs are largely
invariant, specificity in the binding of target proteins likely plays
a major role in the substrate selective methylation performed by these
enzymes. The selective inhibition of specific PRMTs over others is
highly desirable and could yield potential new therapeutics with minimum
off-target toxicity. Also, isoform-selective inhibitors are powerful
chemical genetic tools for dissecting the enzymatic functions of PRMT1
with spatial and temporal resolution in selected disease pathways.[15]A steady progress has been witnessed in
the past years in developing
PRMT chemical modulators. Substrate-based chemical modalities provide
a facile way to PRMT inhibition. AdoMet analogues such as sinefungin
and methylthioadenosine were used in the early stage as chemical tools
for studying PRMT function, regardless of their pan-antimethylation
activity. Interestingly, recent work showed that some compounds containing
the structural scaffold of AdoMet linked to arginine motifs can lead
to inhibitors with certain isoform selectivity.[16−18] Substrate-based
inhibitors have particular value for obtaining cocrystal structures
of the enzyme–substrate complex, thus being useful molecular
tools for understanding substrate recognition mechanism. On the other
hand, a number of small molecule PRMT inhibitors have been reported
such as AMI-1,[19] stilbamidine and allantodapsone,[20] RM65,[21] pyrazoles,[22−25] benzo[d]imidazoles,[26] NS-1,[27] among others.[15,28−33] It should be cautioned that some of these compounds, e.g., AMI-1,
NS-1, and A36, most likely target the histone substrate rather than
the PRMT1 enzyme.[27,34] Notwithstanding recent progress,
considerable challenges remain as to how to achieve high potency and
selectivity. More diverse chemical structures are waiting to be discovered
or designed in order to meet the need of basic biology research and
therapeutic development.Herein we report diamidine-type compounds
for selective inhibition
of PRMT1 over other PRMTs (CARM1, PRMT5, and PRMT6). The activity
of diamidine compounds as therapeutic agents is previously known:
inhibition of tachyzoite proliferation against Neospora caninum and Toxoplasma gondii,[35] interaction with nuclear DNA topoisomerase II,[36] ERG/DNA complex modulation which is important during gene
expression,[37] and the use as antileishmanial
agent.[38] 2,5-Bis(4-amidinophenyl)furan
(furamidine, compound 1) has been shown to concentrate
in the cell nucleus and delay parasite maturation,[39] serving as an anti-Plasmodium vivax agent[6] or potent antiparasitic agent in vitro or in
vivo.[40] Because of its ability to disrupt
mitochondrial membranes, 1 can be used as an antimicrobial
agent too.[41] Despite such wide applicability,
the use of diamidines for PRMT inhibition has not been reported previously
except for stilbamidine. We studied a number of diamidine compounds
for PRMT inhibition, and several showed clear selectivity for PRMT1.
Kinetic data and computer modeling suggest that compound 1 targets the active site pockets of PRMT1.
Results and Discussion
Searching
for New PRMT1 Inhibitors
In this work, we
attempted to develop PRMT-selective inhibitors containing diamidine
groups. Spannhoff and co-workers previously reported that a diamidine
compound, stilbamidine, inhibited PRMT1 activity at the micromolar
level.[20] Since then, however, no further
reports have been invested on diamidine-based PRMT inhibitors. Our
rationale in considering diamidines for PRMT inhibition was the close
resemblance of the amidine group to the guanidine moiety of the substrate
arginine. To test this hypothesis, we assessed a series of diamidine
compounds for PRMT1 inhibition (Figure 1).
In addition to inhibiting PRMT1, the representative member of type
I arginine methyltransferases, we also tested the effect of the compounds
on the activity of type II methyltransferase PRMT5, with the purpose
of gaining type I and/or type II selective inhibitors. We used the
typical radiometric P81 filter binding assay to measure the effect
of these diamidines on the activity of PRMT1 and PRMT5. In the assay,
[3H]-labeled AdoMet and a histone 20-aa H4 peptide from
the N-terminal tail of histone H4 (denoted H4-20) were used as substrates.
The initial screening for both PRMT1 and PRMT5 inhibition was performed
at 20 μM of each compound, and the results are summarized in Table S1. It is clear that different compounds
showed varied degrees of inhibitory activity toward PRMT1 and PRMT5.
For instance, while 21 showed only very weak activity, 2 was found to block more than 85% of the activity for both
PRMT1 and PRMT5.
Figure 1
Structures of tested amidine compounds.
Structures of tested amidine compounds.In consideration of the significance of isoform-selective
inhibitors,
we are particularly interested in those hits that selectively inhibited
PRMT1 or PRMT5 activity. In this regard, compound 1 (furamidine,
also known as DB75[42]) showed more than
75% inhibition of PRMT1 while it had only 11% inhibition against PRMT5,
which demonstrates that 1 likely is a selective inhibitor
of PRMT1. Indeed, the IC50 of 1 was determined
to be 9.4 μM for PRMT1 and 166 μM for PRMT5 (Table 1). Thus, compound 1 exhibited selective
inhibition for PRMT1 over PRMT5. Also, the analogue 5 showed comparable potency and selectivity to 1, with
IC50 of 7.2 μM for PRMT1 and 186 μM for PRMT5.
Stilbamidine, previously reported as a PRMT1 inhibitor, was tested
for comparison and showed IC50 values of 15.2 μM
for PRMT1 and 44.1 μM for PRMT5. Thus, the selectivity of stilbamidine
proved to be inferior to both compound 1 and compound 5.
Table 1
Inhibition of PRMTs by Selected Compoundsa
IC50, μM
inhibitor
PRMT1
PRMT5
CARM1
PRMT6
1
9.4 ± 1.1
166 ± 2
>400
283 ± 37
5
7.2 ± 2.4
186 ± 3
>400
211 ± 107
stilbamidine
15.2 ± 2.3
44.1 ± 5.9
∼400
173 ± 63
IC50 values of different
diamidine compounds were tested by filter-binding assay with 1 μM
H4(1–20) peptide, 0.5 μM [3H]AdoMet, 0.04
μM PRMT1, and PRMT5, and incubation was with varying concentrations
of each compound at 30 °C for 8 min. For assay on CARM1 and PRMT6,
1 μM histone H3.1 was used instead of 1 μM H4(1–20)
peptide, and the reaction time was 1 h.
IC50 values of different
diamidine compounds were tested by filter-binding assay with 1 μM
H4(1–20) peptide, 0.5 μM [3H]AdoMet, 0.04
μM PRMT1, and PRMT5, and incubation was with varying concentrations
of each compound at 30 °C for 8 min. For assay on CARM1 and PRMT6,
1 μM histone H3.1 was used instead of 1 μM H4(1–20)
peptide, and the reaction time was 1 h.
Selectivity of Compound 1
PRMTs are largely
categorized into two classes, type I and type II, with PRMT1 being
representative of type I and PRMT5 of type II.[43] Compound 1 showed clear type I selectivity
based on the IC50 data for PRMT1 and PRMT5. In an effort
to determine the selectivity profile of the diamidine compounds on
other type I PRMTs, coactivator-associated arginine methyltransferase
1 (CARM1, PRMT4) and PRMT6 were examined (Table 1). All the experiments were accomplished with the same radioactive
P81 filter binding methylation assay. It is an interesting observation
that the diamidine compounds tested here, 1 and 5 and stilbamidine, showed stronger inhibition for PRMT1 over
the other PRMTs. In particular, the activities of these diamidine
compounds were much weaker toward CARM1 and PRMT6. Together, the data
in Table 1 demonstrated that 1 and 5 are PRMT1-selective inhibitors.
Structure–Activity
Relationship (SAR) of the Diamidine
Compounds in PRMT Inhibition
The data shown in Table S1 offer some interesting insights about
the SAR of the diamidine compounds in PRMT1 and PRMT5 inhibition.
First, the activities of the diamidine compounds are sensitive to
alkylation of the terminal amidine moiety. Compounds 9, 12, 17, 18, and 22 having alkyl and 26 having phenyl substituents on the
amidine all showed reduced activity in comparison with 1. Likely, these hydrophobic substituents decrease the hydrogen bond
donor effect of the diamidine that is important for PRMT1 binding.
Steric hindrance is also a factor: the bulkiness on the diamidine
termini clearly reduces activities. For example, compound 18 (with the cyclohexyl substituent) showed a weaker activity than 9 and 12, which contained cyclopentyl and cyclopropyl
substituents, respectively. Phenyl substitution was even more detrimental
than alkylation (e.g., 26 versus 18). Both
of the amidine groups seem to be required for efficient inhibition
of PRMT1. This can be seen from the activity differences between 25 and 1, 14 and 4,
and 24 and 5, the first of which lost one
amidine group and showed decreased activity. It is possible that either
the hydrogen bond donating ability or the positive charge of the amidine
group plays a critical role in binding to PRMT1.The replacement
of the oxygen heteroatom in the furan ring of compound 1 with S or Se atom (compounds 4 and 3)
had almost no effect on activity, probably because these three atoms
have a similar stereoelectronic property. However, replacement with
NH (6) caused a bigger loss in activity, as NH has an
additional hydrogen atom. Compound 28, with a phenyl
substituent on the pyrrole ring, almost lost all activity, likely
because of increased steric bulkiness. The anti-PRMT1 activities of
the diamidine compounds are also sensitive to the changes on the two
benzene rings. The ortho substitution with a nitrogen atom especially
decreased activity (e.g., 7 and 10 in comparison
with 1). On the other hand, the meta substitution was
less sensitive, as seen in 5 that was equally potent
as 1.The SAR property of the diamidine compounds
for PRMT5 inhibition
is different from that for PRMT1 inhibition. The most striking feature
is that the amidine group (at least one of the two) seems not to be
essential for PRMT5 inhibition. Compounds 8 and 14 lost one amidine group compared with 4, but
they exhibited a stronger potency for PRMT5. The same phenomenon was
seen in 24 versus 5. These results may suggest
that monoadimine compounds might be more favorable than diamidine
for PRMT5 inhibition. Furthermore, alkylation of the diamidine termini
offered a positive contribution for PRMT5 inhibition. Compounds 9, 12, 17, 18, and 26 had an alkyl or phenyl group on the diamidine, and all
of them showed better activities than 1 that contained
unmodified diamidines. This phenomenon may be an indication that the
hydrogen bonding effect of the amidine moiety in PRMT5 binding is
not as important as the hydrophobic interaction inferred. Also, compound 28 is more hydrophobic and bigger in size than 1 and showed stronger activity for PRMT5, suggesting that stronger
hydrophobicity and bigger size at the central five-member-ring position
might be a favorable factor for PRMT5 inhibition. Overall, our biochemical
data suggest that PRMT5 prefers to bind those (di)amidine molecules
with higher hydrophobicity and more bulkiness. As seen vide infra,
our computational analysis shows that PRMT1 has a more compact cavity
than PRMT5, and this difference could be an explanation for the selective
inhibition of PRMT1 by compounds 1 and 5.
Kinetic Analysis of PRMT1 Inhibition by Compound 1
Since 1 is structurally simple and is one
of the best hits among the tested diamidine compounds for PRMT1, we
focused on this compound for further mechanistic characterization.
To elucidate the inhibition mechanism of compound 1,
steady-state kinetic characterization was conducted. In this study,
the initial velocities of PRMT1 were measured at several selected
concentrations of the inhibitor over a range of varied concentrations
of the H4-20 peptide while fixing the concentration of [3H]SAM. The data were plotted with velocities versus H4-20 concentration
in Figure 2A. Double-reciprocal plot was also
shown with 1/velocity versus 1/[H4-20] (Figure 2B). For a more quantitative analysis, the Michaelis–Menten
kinetic data were fit to the following equation:where [S]
is the concentration
of the H4-20 peptide. From the fitting we obtained a Kis of 2.6 μM and a Kii of 38 μM. The Kis value is about
14-fold smaller than Kii value, which
implies that 1 has a strong nature of competitive inhibition
with respect to the peptide substrate. In the double-reciprocal plot,
a series of straight lines were intersected closely in the second
quadrant, also supporting a pseudo-competitive pattern of inhibition.
Figure 2
Kinetic
analysis of PRMT1 inhibition by compound 1. (A) and (C)
are Michaelis–Menten plots, and (B) and (D)
are double-reciprocal plot of initial velocities versus varied concentrations
of H4-20 or [3H]SAM. Concentration of 1 was
selected at 0 μM (▲), 10 μM (■), 20 μM
(●), 30 μM (×), and 40 μM (○). In (A)
and (B), the concentration of [3H]AdoMet was fixed at 3
μM, and in (C) and (D), the concentration of H4-20 was fixed
at 15 μM.
Kinetic
analysis of PRMT1 inhibition by compound 1. (A) and (C)
are Michaelis–Menten plots, and (B) and (D)
are double-reciprocal plot of initial velocities versus varied concentrations
of H4-20 or [3H]SAM. Concentration of 1 was
selected at 0 μM (▲), 10 μM (■), 20 μM
(●), 30 μM (×), and 40 μM (○). In (A)
and (B), the concentration of [3H]AdoMet was fixed at 3
μM, and in (C) and (D), the concentration of H4-20 was fixed
at 15 μM.A similar experiment
was done in which the initial velocities were
checked at several selected concentrations of 1 over
a range of varied [3H]SAM concentration when fixing H4-20
concentration (Figure 2C). After the data were
processed in an analogous way, a Kis of
16 μM and a Kii of 26 μM were
obtained by fitting with eq 1. The resemblance
of the Kis and Kii values suggests that compound 1 is classic
noncompetitive inhibitor with respect to SAM. It is possible that
compound 1 has the capacity to bind both free and SAM-bound
PRMT1. In the double-reciprocal plot, a series of straight lines show
a pattern of intersection close to the X-axis, further
supporting the classic noncompetitive nature of inhibition (Figure 2D).To further validate that compound 1 is primarily a
competitive inhibitor of PRMT1 with respect to the substrate H4-20,
we conducted a competitive fluorescence anisotropy binding assay in
which a fluorescein-labeled H4 peptide (H4-FL) was used as a substrate
ligand for PRMT1 binding. Previously we have shown that anisotropy
of H4-FL increases upon binding to PRMT1.[27] We introduced varied concentrations of 1 into a mixture
containing a fixed concentration of PRMT1 and H4-FL to examine the
competition between 1 and H4-FL. As shown in Figure 3, when concentration of 1 was increased,
the anisotropy value of the mixture decreased accordingly and reached
a plateau of about 0.055. These data clearly illustrated that compound 1 indeed competes with H4-FL for binding to PRMT1, which is
in accordance with the results of radiometric steady-state kinetic
characterization. Further study showed that 1 did not
target the substrate peptide (Figure S-1 in the Supporting Information), excluding the possibility of ligand–substrate
interaction.
Figure 3
Competitive binding measurement with fluorescence anisotropy:
fluorescence
anisotropy (524 nm) of H4-FL and PRMT1 complex at different concentrations
of compound 1. The concentrations of H4-FL and PRMT1
were kept constant at 0.2 and 2.0 μM, respectively.
Competitive binding measurement with fluorescence anisotropy:
fluorescence
anisotropy (524 nm) of H4-FL and PRMT1 complex at different concentrations
of compound 1. The concentrations of H4-FL and PRMT1
were kept constant at 0.2 and 2.0 μM, respectively.
Molecular Modeling Studies
To date,
no crystal structures
of humanPRMT1 (hPRMT1) have been solved. However, the highly conserved Rattus norvegicusPRMT3 (rPRMT3, PDB code 1F3L)[44] and humanPRMT3 (hPRMT3, PDB code 3SMQ(45)) structures are available. The rat-PRMT1
X-ray structures (PDB codes 1OR8, 1ORI, 1ORH)[46] are not well suited as templates for homology
modeling because the crystals were obtained at a nonphysiological
pH of 4.7 and an important helical segment near the binding pocket
was not resolved (residues 1–40). Thus, we generated a homology
model for the active form of hPRMT1 on the basis of the rPRMT3 and
hPRMT3 X-ray structures. The sequence identity between the individual
enzymes is sufficiently high for this approach; the residues within
the binding pocket especially are highly conserved (hPRMT1 and hPRMT3,
47% overall sequence identity; hPRMT1 and rPRMT3, 49% overall sequence
identity for the conserved core containing the SAM-binding site and
the C-terminal barrel-like domain).To better understand the
mechanism underlying the selective binding of compounds 1 and 5 to PRMT1 versus other PRMTs (e.g., PRMT5), we
carried out docking calculations with AutoDock4.2[47] using as targets the hPRMT1 homology model and the X-ray
structure of hPRMT5, respectively. In these calculations, the region
encompassing the SAM-binding site and substrate arginine site was
included in the bounding box for docking. Subsequently, the energy
profile and stability of the predicted structures for the docked complexes
were assessed through extensive molecular dynamics (MD) simulations
and molecular mechanics/Poisson–Boltzmann solvent-accessible
surface area (MM-PBSA) calculations.[48,49] The steady-state
kinetic analysis and fluorescence anisotropy binding assay showed
that compound 1 acted as a primarily competitive inhibitor
with respect to H4-20, while noncompetitive versus [3H]SAM
MD simulations and MM-PBSA calculation of the hPRMT1 and hPRMT5 in
the presence of SAH were also performed to rationalize the differences
in inhibition patterns. Table 2 and Table S2 showed the averaged binding free energies
for protein–ligand complexes along with corresponding decomposition
by energy terms.[50] The estimated binding
free energy ΔGb was −27.0
kcal mol–1 for the hPRMT1·1 complex
and −12.4 kcal mol–1 for the hPRMT5·1 complex. Similarly, ΔGb of the hPRMT1·5 complex was lower than that of
the corresponding hPRMT5·5 complex by 22.5 kcal
mol–1 (Table S2). This
trend agrees with our experimental observation that compounds 1 and 5 bind more favorably to hPRMT1. We further
analyzed the free energy components to determine the dominant interactions
responsible for the observed binding specificity. According to the
components of the binding free energy (Table 2 and Table S2), both the intermolecular
(gas phase) van der Waals and electrostatic interactions favor binding.
The electrostatic solvation (ΔGpolar) disfavors binding because of desolvation penalty for the ligand
and PRMT. Nonpolar solvation, which corresponds to the burial of solvent-accessible
surface area (SASA) upon binding, gives a slightly favorable contribution.
Table 2
Free Energy Analysis (kcal mol–1) for the Binding of Compound 1 and SAH
to PRMT1 and PRMT5a
PRMT1
PRMT5
contribution
1
SAH
1
SAH
ΔEele
–511.8
–138.8
–500.3
–112.4
(22.7)
(10.8)
(18.8)
(11.7)
ΔEvdw
–34.5
–45.8
–39.6
–48.2
(5.8)
(4.5)
(3.8)
(4.2)
ΔGnonpol
–5.3
–6.2
–5.9
–6.2
(0.1)
(0.2)
(0.2)
(0.1)
ΔGpolar
511.3
145.6
513.6
132.3
(20.4)
(6.3)
(15.1)
(10.1)
ΔGsolb
506.0
139.4
507.7
126.1
(20.4)
(6.3)
(15.1)
(10.0)
ΔGelec
–0.5
6.7
3.3
19.8
(6.81)
(8.7)
(10.3)
(8.3)
ΔHb
–40.4
–45.1
–32.2
–34.5
(6.8)
(8.7)
(9.2)
(6.7)
TΔS
–13.4
–16.0
–18.8
–15.4
(8.01)
(1.0)
(0.6)
(1.0)
ΔGb
–27.0
–29.1
–12.4
–19.1
IC50 (μM)d
14.2
118
Standard deviation
values are
shown in parentheses.
Standard deviation
values are
shown in parentheses.Polar/nonpolar
(ΔGsol = ΔGpolar + ΔGnonpolar)
contributions.Electrostatic
(ΔGele = ΔEele + ΔGpolar) contributions.IC50 for rat PRMT.In order to identify the binding
mode and the detailed interactions
responsible for stabilizing compound 1 and compound 5 in the hPMRT1 and hPRMT5 structures, the binding free energy
was decomposed into individual residue contributions and key residues
for binding to hPRMT1 and hPRMT5 are shown in Figure 4 and Figure S2. In agreement with the available experimental data,
compound 1 and compound 5 bind the hPRMT1
active site and were found to be the stronger inhibitors of hPRMT1
when compared to hPRMT5. A common feature of compound 1 and compound 5 binding to hPRMT1 is the interaction
(via hydrogen bonding) of amidine groups with the acidic residues
Glu129, Glu144, and Glu153 of hPRMT1 (Figure 4 and Figure S2, left panels). One of the
amidine groups extends into the channel, which accommodates the substrate
arginine during catalysis. This amidine group is well placed to gain
optimal interactions with glutamic acid residues Glu144 and Glu153,
reported to be essential for binding and catalysis.[13] Notably, the compound 1 and compound 5 scaffold stretches out partially into the SAM adenine binding
site, slightly overlapping with the cofactor methyl donor group and
forming hydrogen bonds between the second amidine group of the ligand
and residue Glu129 of hPRMT1. This binding mode explains why compound 1 is mainly a peptide substrate-competitive inhibitor and
partially competes with [3H]SAM from the steady-state kinetic
analysis and fluorescence anisotropy binding assay, since compound 1 and compound 5 interact with Glu144 and Glu153
by disrupting the binding with the substrate. The calculations also
show that SAH binds slightly more favorably to PRMT compared to compound 1 and compound 5 (Table 2 and Table S2). Several hydrophobic (Met146,
Met155, and Thr158) and π–π (Try35, Phe36, and
Tyr39, YFXY motif) interactions are detected between the compound 1 and compound 5 ligands and hPRMT1. The YFXY
motif in the N-terminal helix αX is invariant among all known
PRMTs. In rPRMT3, F218 (YFXY) forms edge to face hydrophobic interaction
with adenine groups of AdoHcy, and Tyr217 and Tyr221 (YFXY), whose
hydroxyl groups point to the active site residue Glu335. Previously
it was determined that deleting helix αX indeed reduced cofactor
cross-linking and abolished enzyme activity in PRMT1, suggesting important
roles of helix αX both for cofactor binding and for catalysis.[13] Compound 5 differs from compound 1 by a single nitrogen atom (amidinophenyl group) replacing
carbon and thus shares similar orientation to the latter compound
in the hPMRT1 active site.
Figure 4
Predicted binding modes of compound 1 in PRMT1 and
PRMT5 from docking (AutoDock 4.2) and molecular dynamics simulation
(NAMD 2.8). Ligand–residue interaction energies from MM/PBSA
energy decomposition for (A) PRMT1 and (B) PRMT5. (C, D) Binding modes
of compound 1 with (C) PRMT1 and (D) PRMT5. The best
docking pose obtained from AutoDock for 1 in complex
with the hPRMT1 homology model (based on 1F3L(44) and 3SMQ(45)) and X-ray hPRMT5 (4GQB[53]) was selected
for MD simulation. Dominant structures for the hPRMT1·1 and hPRMT5·1 complexes from the last 20 ns of
MD trajectory clustering analysis were used for visualization. PRMT
residues engaging the ligand are explicitly shown in ball and stick
representation. The protein (in cartoon representation) is colored
according to the residue contribution values in the free energy decomposition
from red (negative) to blue (positive).
Predicted binding modes of compound 1 in PRMT1 and
PRMT5 from docking (AutoDock 4.2) and molecular dynamics simulation
(NAMD 2.8). Ligand–residue interaction energies from MM/PBSA
energy decomposition for (A) PRMT1 and (B) PRMT5. (C, D) Binding modes
of compound 1 with (C) PRMT1 and (D) PRMT5. The best
docking pose obtained from AutoDock for 1 in complex
with the hPRMT1 homology model (based on 1F3L(44) and 3SMQ(45)) and X-ray hPRMT5 (4GQB[53]) was selected
for MD simulation. Dominant structures for the hPRMT1·1 and hPRMT5·1 complexes from the last 20 ns of
MD trajectory clustering analysis were used for visualization. PRMT
residues engaging the ligand are explicitly shown in ball and stick
representation. The protein (in cartoon representation) is colored
according to the residue contribution values in the free energy decomposition
from red (negative) to blue (positive).Figure 4 and Figure
S2 (right panel) showed the interaction modes of compound 1 and compound 5 with hPMRT5. Both compounds
showed a similar type of interaction with the residues of the binding
pocket. One amidine group of compound 1 makes electrostatic
and hydrogen bond interactions with Glu435 and Glu444, whereas the
second guanidine group is involved in hydrogen bonding to Asp419.
In the case of compound 5, Glu435 and Glu444 form hydrogen
bonds and electrostatic interactions with one guanidine group. In
addition, several hydrophobic interactions were formed between the
ligands and residues Leu315, Leu316, Leu319, Leu436, Leu437, Met420,
and Pro314 in the hPRMT5 active site. However, the energy contributions
of these residues to ligand binding in hPRMT5 are below 5 kcal/mol
(from free energy decomposition) (Figure 4 and Figure S2, right panels). Thus, electrostatic
interactions between the amidine of compound 1 and compound 5 and the carboxylate of Glu in the hPRMT1 structure may facilitate
inhibition of PRMT1.The differences in the binding modes for
diamidines (compounds 1 and 5) to hPRMT1
and hPRMT5 are directly linked
to the differences in computed binding free energy ΔGb and to the experimentally observed selectivity.
Both compounds 1 and 5 have rigid planar
scaffolds. The curvature associated with the planar ligand structure
enables diamidines to partially occupy the cofactor site and also
span the substrate arginine binding site. Thus, the shape of the diamidine
inhibitor is compatible with the shape of the cavity formed by the
adjacent substrate/cofactor sites in PRMTs. For the same reason compound 1 has also been known to favorably bind DNA in the minor groove
(because of compatible curvature). Next, we evaluated the selectivity
of compounds 1 and 5 in terms of electrostatic
and shape complementarity (Figure 5 and Figure S3). Both binding pockets in PRMT1 and
PRMT5 were found to be electrostatically highly complementary to the
ligands (Figure 5A and Figure 5B; Figure S3A and S3B). With both
pockets negatively charged, electrostatics alone is insufficient to
explain selectivity. The difference in ΔGb (and correspondingly in selectivity) arises from the better
shape complementarity of compounds 1 and 5 for the PRMT1 pocket (Figure 5C and Figure 5D; Figure S3C and S3D). In PRMT1, the tighter fit of the inhibitors to the binding pocket
correlates with the larger computed affinity ΔGb. By contrast, PRMT5 exhibits a larger, partially solvent
exposed pocket and binds the ligands less tightly in agreement with
the smaller computed affinity ΔGb. Therefore, the shape and rigidity of the diamidine ligands could
be tuned to exploit differences in the binding cavities among PRMTs,
thus providing an avenue to design more selective PRMT inhibitors.
Figure 5
Electrostatic
and shape complementarity in diamidine binding to
PRTM1 and PRMT5: (A) electrostatic potential surface for the binding
pocket of PRMT1 with compound 1; (B) electrostatic potential
surface for the binding pocket of PRMT5 with compound 1; (C) shape of the binding cavity of PRMT1 (red) with compound 1 (blue); (D) shape of the binding cavity of PRMT5 (red) with
compound 1 (blue). The best docking pose obtained from
AutoDock for 1 in complex with the hPRMT1 homology model
(based on 1F3L(44) and 3SMQ(45)) and X-ray
hPRMT5 (4GQB[53]) was selected for MD simulation. Dominant
structures for the hPRMT1·1 and hPRMT5·1 complexes from the last 20 ns of MD trajectory clustering
analysis were used for visualization, the same as for Figure 4C,D. The charges of proteins were assigned using
PDB2PQR server[69] and electrostatic potential
was calculated using APBS.[68] The electrostatic
potential varied from −10KBT/e to +10KBT/e and was depicted using Chimera[71] in panels A and B from red to blue, respectively.
The ligand in panels A and B is color-coded by AM1BCC charge from
red (negative) to blue (positive). The surface was visualized in panels
C and D using the program VMD.[70]
Electrostatic
and shape complementarity in diamidine binding to
PRTM1 and PRMT5: (A) electrostatic potential surface for the binding
pocket of PRMT1 with compound 1; (B) electrostatic potential
surface for the binding pocket of PRMT5 with compound 1; (C) shape of the binding cavity of PRMT1 (red) with compound 1 (blue); (D) shape of the binding cavity of PRMT5 (red) with
compound 1 (blue). The best docking pose obtained from
AutoDock for 1 in complex with the hPRMT1 homology model
(based on 1F3L(44) and 3SMQ(45)) and X-ray
hPRMT5 (4GQB[53]) was selected for MD simulation. Dominant
structures for the hPRMT1·1 and hPRMT5·1 complexes from the last 20 ns of MD trajectory clustering
analysis were used for visualization, the same as for Figure 4C,D. The charges of proteins were assigned using
PDB2PQR server[69] and electrostatic potential
was calculated using APBS.[68] The electrostatic
potential varied from −10KBT/e to +10KBT/e and was depicted using Chimera[71] in panels A and B from red to blue, respectively.
The ligand in panels A and B is color-coded by AM1BCC charge from
red (negative) to blue (positive). The surface was visualized in panels
C and D using the program VMD.[70]
Compound 1 Inhibits Cell Proliferation in Leukemia
Cell Lines with Different Genetic Lesions
PRMT1 is highly
expressed in many different kinds of tumors as shown from gene expression
data from the Oncomine Web site. We rationalize that inhibiting PRMT1
could induce tumor cell death. First, we wanted to verify whether
compound 1 inhibited the PRMT1 enzymatic activity in
cells. It is known that the ALY protein (also called Yra in yeast)
is heavily methylated on the N terminal region and C terminal region
flanking the RNA binding domain from the literature[51] and from our unpublished data. We used ASYM24 antibody
which has been used widely as a generic antibody for methylarginine
recognition to detect the protein methylation status of GFP-ALY fusion
protein in 293T cells treated with 1 for 15 h. GFP-ALY
was immunoprecipitated with GFP antibody (Allele Biotech). In a comparison
of lane 1 with lane 2 with and without compound 1 treatment
(Figure 6A), it was shown that the expression
level of the methylated GFP-ALY protein was significantly reduced
when the cells were treated with 20 μM compound 1 when the equal amount of total GFP-ALY protein was loaded onto both
lanes (with or without compound 1 treatment). Therefore,
we confirmed that the drug is permeable to cell membrane and inhibits
cellular PRMT1 activity.
Figure 6
Compound 1 inhibits proliferation
of leukemia cell
lines. (A) 1 inhibits GFP-ALY methylation in 293T cells.
20 μM 1 was added to 293T cells for 15 h before
harvest. Then the GFP-ALY fusion protein was purified via GFP antibody
beads. ASYM24 (Millipore) was used to detect the methylated ALY protein.
(B) Compound 1 inhibits leukemic cell growth on day 3.
20 μM 1 was added to the cell culture for 3 days
before harvesting for cell viability assay. As a control, the cells
were treated with the same amount of DMSO as that added in drug treated
samples. The y-axis is the percentage of viable cells
in drug treated group by viable cells in control group as denominator.
Meg-01 cells and K562 cells have BCR-ABL translocation. HL-60 cells
and NB4 cells have PML-RAR α translocation. MOLM13 cells are
with MLL-AF9 translocation. HEL cells are with JAK2 V617F mutation.
CMK cell, CMY cell, CMS cell, and CHRF cells are with trisomy 21.
Jurkat cells derived from T cell leukemia patients had very complicated
mutation. (C) Growth curves of CHRF cells. (D) Growth curves of MOLM13
cells. (E) Growth curves of HEL cells.
Compound 1 inhibits proliferation
of leukemia cell
lines. (A) 1 inhibits GFP-ALY methylation in 293T cells.
20 μM 1 was added to 293T cells for 15 h before
harvest. Then the GFP-ALY fusion protein was purified via GFP antibody
beads. ASYM24 (Millipore) was used to detect the methylated ALY protein.
(B) Compound 1 inhibits leukemic cell growth on day 3.
20 μM 1 was added to the cell culture for 3 days
before harvesting for cell viability assay. As a control, the cells
were treated with the same amount of DMSO as that added in drug treated
samples. The y-axis is the percentage of viable cells
in drug treated group by viable cells in control group as denominator.
Meg-01 cells and K562 cells have BCR-ABL translocation. HL-60 cells
and NB4 cells have PML-RAR α translocation. MOLM13 cells are
with MLL-AF9 translocation. HEL cells are with JAK2 V617F mutation.
CMK cell, CMY cell, CMS cell, and CHRF cells are with trisomy 21.
Jurkat cells derived from T cell leukemiapatients had very complicated
mutation. (C) Growth curves of CHRF cells. (D) Growth curves of MOLM13
cells. (E) Growth curves of HEL cells.We have investigated the cell viability with 10 different
leukemia
cell lines treated with 20 μM compound 1. We measured
the number of viable cells in culture every day in 3 consecutive days.
We found that compound 1 inhibited cell growth for most
of the leukemia cell lines except HEL cells which have JAK2V617F mutations.
These results agree with the expected role of PRMT1 in cell proliferation.
Interestingly, we found cell lines derived from Down’s syndromepatients and MLL-AF9 patient (such as CMY, CHRF-288-11, and MOLM-13
cells) are more sensitive to PRMT1 inhibitor 1 than cell
lines from other mutation backgrounds (such as HEL, Jurkat, and HL-60
cells). The detailed mechanisms of the hypersensitivity would be a
subject of further investigation.
Conclusion
We
reported a set of diamidine compounds that showed micromolar
PRMT inhibition. Among these compounds, 1 and 5 showed potent selective inhibition for PRMT1 compared with the other
PRMTs such as CARM1, PRMT5, and PRMT6. Compound 1 is
cell membrane permeable and can effectively inhibit PRMT1 activity
intracellularly. Compound 1 also inhibited cell proliferation
in a panel of leukemia cell lines with different genetic lesions.
Interestingly, compound 1 is a well-established inhibitor
in a number of previous applications which were described in the Introduction. However, the function of 1 as a selective PRMT inhibitor had not been previously established.
The mechanism for the higher affinity of compound 1 for
PRMT1 rather than the other PRMTs such as PRMT5 was explored by examining
the detailed ligand–protein interaction modules in the active
site of the enzyme. Our combined computational and experimental results
support that these rigid crescent-shaped compounds span the adjacent
substrate and cofactor binding sites. The positively charged amidine
functional group serves as an anchor point to ensure binding to the
peptide site of PRMT. This dual mode of inhibition was confirmed by
kinetic experiments wherein diamidines showed a primarily competitive
mode of inhibition for the substrate and a classical noncompetitive
(i.e., partially competitive) inhibition toward the cofactor. Further
work would be of value to optimize this class of diamidine compounds
by rational design to improve their selectivity and/or potency in
PRMT inhibition. The discloseddiamidine PRMT inhibitors will be useful
chemical probes to investigate new functions of PRMTs in biology.
Experimental Procedures
Compounds
H4-20 and H4-FL were synthesized and described
as previously reported.[27] The diamidine
compounds were provided from Dr. David Boykin’s group at Georgia
State University, with >95% purity based on CHN elemental analysis, 1H and 13C NMR, and mass spectrometry.
Protein Expression
and Purification
His6x-tagged PRMT1
was expressed in recombinant pET28b vector transformed Escherichia
coli BL21(DE3) and purified on Ni-NTA beads. GST-tagged CARM1
and His6x-tagged PRMT6 were expressed and purified as previously described.[27]To obtain HA-tagged PRMT5, freshly growing
humanembryonic kidney293T (HEK 293T) cells were co-transfected with
recombinant plasmid pcDNA3-HA-PRMT5 and plasmid pCMV-Sport6-WDR77
(a gift from Dr. Steve Nilmer). The co-transfected cells were made
into lysate by using cold M-PER mammalian protein extraction reagent.
HA-PRMT5 inside the lysate was purified on HA-peptide agarose beads
by eluting with 2 mg/mL HA-peptide in 1× TBS before protein concentration
using ultrafiltration. All the protein concentrations were determined
with the Bradford assay.
P81 Filter Binding Assay
Filter
binding assay was carried
out in 0.65 mL plastic tubes with a 30 μL reaction volume at
30 °C. The reaction buffer was composed of 50 mM HEPES (pH 8.0),
50 mM NaCl, 1 mM EDTA, and 0.5 mM DTT. 0.5 μM tritium labeled S-adenosyl-l-methionine ([3H]SAM, PerkinElmer)
was used as methyl donor, and 1 μM histone H4(1–20) was
used as the methyl acceptor. Reactions were catalyzed by one of the
PRMTs at the designed concentration. Typically, 6 μL of varied
concentrations of each candidate inhibitor in reaction buffer was
added into the wells prior to the addition of 18 μL of mixture
composed of [3H]SAM and a certain kind of PRMT in the same
reaction buffer. The 24 μL mixture was incubated at room temperature
for 5 min before the reaction was started by adding 6 μL of
H4(1–20) dissolved in reaction buffer. Reactions without candidate
inhibitor were used as positive control. Reactions with neither H4(1–20)
nor candidate inhibitor was used as negative control. After incubation
for an appropriate period of time, 20 μL of the reaction mixture
was aspirated and spread onto anionic P81 filter paper disks (Whatman).
The paper disks loaded with reaction mixture were dried in air for
2 h and then washed with 1 L of 50 mM NaHCO3 (pH 9.0) solution
for 15 min three times. Then the paper disks were dried in air overnight
before transfer of the disks into 3.5 mL vials full of scintillation
oil, and the amount of methylation was quantified by scanning the
vials on a scintillation counter (Beckman Coulter, Brea, CA) or a
MicroBeta2 (PerkinElmer). The Kcat and Km of PRMT1 for H4(1–20) was obtained
by measuring the initial velocity of reaction at different concentrations
of H4(1–20) and fitting the kinetic data with Michaelis–Menten
equation. The Ki for compound 1 was calculated by using the equation Ki = IC50/(1 + [S]/Km).
Fluorescence
Binding Assay
Fluorescence anisotropy
of fluorescein-labeled peptides was measured on a Fluoromax-4 spectrofluorometer
(Horiba Jobin Yvon). The buffer was the same as that for the P81 filter
binding assay. The excitation wavelength and emission wavelength were
498 and 524 nm, respectively. The competitive binding of 5 to PRMT1-H4(1–20)FL solution was measured using the fluorescence
anisotropy mode in a similar manner as described previously.[52] 0.2 μM H4(1–20)FL and 2 μM
PRMT1 were mixed, and increasing concentrations of 5 stock
were added until the fluorescence anisotropy signals leveled off.
The anisotropy values at 524 nm from several scans were plotted as
a function of inhibitor concentration.
Homology Modeling
Sequences and structures of Rattus norvegicus protein
arginine methyltransferase 3 (rPRMT3),
the humanPRMT3 (hPRMT3), and the humanPRMT5 (hPRMT5) were downloaded
from the Protein Data Bank (PDB codes 1F3L,[44]3SMQ,[45] and 4GQB(53)). The sequence of the hPRMT1 (GenBank
accession number NP_938074.2) was aligned against the sequence of hPRMT3
and rPRMT3 with the ClustalW alignment server (http://www.ebi.ac.uk/Tools/msa/clustalw2/). Then the homology model of the hPRMT1 was built using MODELER
9V10 software based on the alignment with the hPRMT3 and rPRMT3 as
templates.[54,55]
Molecular Docking
Docking was carried out with AutoDock
4.2.[47] The molecular structures of compounds 1 and 5 were generated by Omega 2.4.3 program
(OpenEye Scientific Software).[56] The atomic
coordinates of hPRMT1 (homology model) and hPRMT5 (crystal structure)
were used as the receptor model for docking. The initial blind docking
used a grid box of 120 × 120 × 120 points in three dimensions
with a spacing of 0.375 Å centered on the whole AdoMet-binding
domain and β-barrel domain and indicated that the major interacting
region was located between the two domains. Accordingly, further docking
was carried out centered at the AdoMet-binding site and substrate
Arg site with a grid box of 64 × 64 × 64 points in three
dimensions with a spacing of 0.375 Å.
Molecular Dynamics Simulation
The best docking pose
obtained from AutoDock for compound 1 and compound 5 in complex with the hPRMT1 and hPRMT5 was selected for molecular
dynamics (MD) study. The steady-state kinetic analysis and fluorescence
anisotropy binding assay indicate that compound 1 is
mainly a substrate-competitive inhibitor of PRMT1 for H4(1–20)
versus [3H]SAM. Therefore, to ensure completeness of the
MM/PBSA analysis, we also modeled SAH bound to PRMT1 and PRMT5 in
the MD simulations. All energy minimizations and molecular dynamics
simulations were performed with NAMD 2.8[57] using ff99SB force field parameters for the protein[58] and gaff parameters[59] for the
ligands[59,60] (compound 1 and compound 5) in explicit solvent (TIP3P water).[61] The systems were then minimized for 5000 steps with backbone atoms
fixed followed by 5000 steps of minimization with harmonic restraints
to remove unfavorable contacts. The systems were then gradually brought
up to 300 K and run for 50 ps in the NVT ensemble while keeping the
protein backbone restrained. The equilibration was continued for another
2 ns in the NPT ensemble, and the harmonic restraints were gradually
released. The 30 ns production simulation was performed in the NPT
ensemble (1 atm and 300 K) without constraints. A short-range cutoff
of 10 Å was used for the short-range nonbonded interactions with
a switching function at 8.5 Å. The long-range electrostatic interactions
were treated with a smooth particle mesh Ewald method.[62] The r-RESPA multiple time step method[63] was employed with a 2 fs integration time step
for bonded, 2 fs for short-range nonbonded interactions, and 4 fs
for long-range electrostatic interactions. Bonds between hydrogen
atoms and heavy atoms of the protein were fixed. Snapshots from the
MD trajectories were collected at an interval of 2.0 ps. The free
energy of binding for ligands (1, 5, and
SAH) to hPRMT1 and hPRMT5 was estimated using the MM-PBSA method in
AMBER 9.0[64] as the average over the last
20 ns (2000 frames) from the trajectories. The MM-PBSA method combines
molecular mechanics, Poisson–Boltzmann electrostatics for polar
solvation free energy, nonpolar solvation energy based on solvent-accessible
surface area, and normal-mode analyses for entropy to calculate the
binding free energy for the protein complexes.[65−67] The interaction
energies were decomposed[50] into contributions
from the ligands and hPRMT1 or hPRMT5 residue pairs. The same dynamics
trajectories utilized in the MM-PBSA calculations were used for the
energy decomposition. Electrostatic potentials were calculated using
APBS[68] and mapped onto the molecular surface
corresponding to the PRMT1 and PRMT5 binding. Charges were assigned
using the PDB2PQR server.[69] PTRAJ module
of AMBER TOOLS 12 and VMD[70] were used for
the analysis of trajectories and structural visualization.
Cellular
Study
Cell viability was measured by CellTiter-Glo
viability kit (Promega, Madison WI). 1000–1500 cells were seeded
in individual wells of a 96-well plate, with 100 μL culture
volume per well. All these leukemia cell lines were grown in RPMI
medium plus 10% fetal bovine serum. 20 μM 1 or
the same amount of DMSO was added to the culture. At 0, 24, 48, 72
h after drug treatment, 100 μL of CellTiter-Glo reagent was
added to each well. Luminescence signals, which are proportional to
cell viability in each well, were measured by microplate reader (Biotek,
Winooski, VT)
GFP Immunoprecipitation Assay
We
made a stable cell
line from 293T cells expressing GFP-ALY growing in DMEM medium plus
10% fetal bovine serum. With this cell line, we made whole cell extract
with H lysis buffer (150 mM NaCl, 20 mM Tris, pH 7.8, 0.5 mM ETDA,
0.2 mM PMSF, 1 mM NaF, 1 mM sodium orthovanadate, 1% Np-40, 1 mM DTT).
The cells in H lysis buffer were incubated on ice for 30 min before
being cleaned by spinning at 12000g for 20 min. Conjugated
GFP antibody beads (Allele Biotech Inc., San Diego, CA) were used
to pull down GFP fusion protein. The samples were dissolved in SDS–PAGE
gels and detected by ASYM24 antibody (Millipore) in Western blot assay
(chemiluminescence reagents).
Authors: Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin Journal: J Comput Chem Date: 2004-10 Impact factor: 3.376
Authors: Myles B C Dillon; Daniel A Bachovchin; Steven J Brown; M G Finn; Hugh Rosen; Benjamin F Cravatt; Kerri A Mowen Journal: ACS Chem Biol Date: 2012-04-20 Impact factor: 5.100
Authors: Donghang Cheng; Neelu Yadav; Randall W King; Maurice S Swanson; Edward J Weinstein; Mark T Bedford Journal: J Biol Chem Date: 2004-03-31 Impact factor: 5.157