The covalent inhibition mechanism of action, which overcomes competition with high-affinity, high-abundance substrates of challenging protein targets, can deliver effective chemical probes and drugs. The success of this strategy has centered on exposed cysteine residues as nucleophiles but the low abundance of cysteine in the proteome has limited its application. We have recently reported our discovery that lysine-56 in the difficult-to-drug target HSP72 could form a covalent bond with a small-molecule inhibitor. We now disclose the optimization of these targeted covalent inhibitors using rational design. Essential to our optimization was the development of a new covalent fluorescence polarization assay, which allows for the direct measurement of the key kinetic parameter in covalent inhibitor design, kinact/KI, extrapolation of the underlying parameters, kinact and Ki, and direct comparison to reversible analogues. Using our approach, we demonstrate a >100-fold enhancement in covalent efficiency and key learnings in lysine-selective electrophile optimization.
The covalent inhibition mechanism of action, which overcomes competition with high-affinity, high-abundance substrates of challenging protein targets, can deliver effective chemical probes and drugs. The success of this strategy has centered on exposed cysteine residues as nucleophiles but the low abundance of cysteine in the proteome has limited its application. We have recently reported our discovery that lysine-56 in the difficult-to-drug target HSP72 could form a covalent bond with a small-molecule inhibitor. We now disclose the optimization of these targeted covalent inhibitors using rational design. Essential to our optimization was the development of a new covalent fluorescence polarization assay, which allows for the direct measurement of the key kinetic parameter in covalent inhibitor design, kinact/KI, extrapolation of the underlying parameters, kinact and Ki, and direct comparison to reversible analogues. Using our approach, we demonstrate a >100-fold enhancement in covalent efficiency and key learnings in lysine-selective electrophile optimization.
Despite many of our most important drugs
utilizing irreversible
covalent inhibition of an enzyme,[1] concerns
relating to idiosyncratic toxicity led to the near-exclusion of this
mechanism of action (MOA) from drug discovery programs.[2] The recent renaissance in covalent inhibitors
is in large part due to their inherent advantage over reversible counterparts
for antagonising proteins that have high-affinity, high-abundance
natural substrates.[3] While the previous
generation of irreversible inhibitor drugs were discovered by serendipity
or were natural products, the rational design strategy for modern
targeted covalent inhibitors (TCIs) focuses on exploiting high-resolution
small-molecule/protein X-ray crystal structures of high-affinity reversible
ligands to target active site, solvent-exposed cysteine residues with
sparingly reactive electrophiles.[4] Unfortunately,
the rarity of cysteine in the proteome has limited its application,[5] leading to an increased interest in targeting
other potentially nucleophilic residues.[6−8]Depending on the
length of exposure and the concentration, TCIs
utilize both reversible and irreversible occupancy of a protein (Figure B).[9] Defining a TCI only via an IC50 value can be
limiting for rational design, as the inhibitor (I) will inevitably
appear more potent with increasing preincubation time. TCIs typically
react via a two-step MOA (Figure A), initially binding to the protein (E) in a reversible
manner to generate a noncovalent complex (EI). The occupancy of the
reversible complex is determined by the free concentration of the
TCI and the equilibrium constant K. The reversible complex can then undergo covalent bond formation
as determined by the first-order rate constant kinact, to give the covalent complex (E-I). These fundamental
parameters describe the efficiency of the TCI but cannot be determined
directly from assay data.
Figure 1
Simulated data describing the MOA and kinetic
parameters used to
quantify the activity of TCIs. (A) TCI two-step binding mechanism.
(B) The two components of TCI MOA, both reversible and covalent occupancy,
contribute to the total target occupancy at a given concentration
and time. Left = covalent occupancy (%CO) and right = total occupancy
(%TO), both simulated using K = 1 μM and kinact = 0.069
min–1. FO = fraction reversible occupancy (see Supporting Information for derivation). (C) Determination
of the essential second-order rate constant kinact/K from
the concentration-dependent kobs pseudo-first-order
rate constant. Left = example where K < [I] so kinact and K can be deconvoluted. Right
= example where K ≫
[I] so the individual kinetic parameters cannot be distinguished.
(D) Nucleoside-derived reversible 1 and covalent inhibitor 2 of HSP72.
Simulated data describing the MOA and kinetic
parameters used to
quantify the activity of TCIs. (A) TCI two-step binding mechanism.
(B) The two components of TCI MOA, both reversible and covalent occupancy,
contribute to the total target occupancy at a given concentration
and time. Left = covalent occupancy (%CO) and right = total occupancy
(%TO), both simulated using K = 1 μM and kinact = 0.069
min–1. FO = fraction reversible occupancy (see Supporting Information for derivation). (C) Determination
of the essential second-order rate constant kinact/K from
the concentration-dependent kobs pseudo-first-order
rate constant. Left = example where K < [I] so kinact and K can be deconvoluted. Right
= example where K ≫
[I] so the individual kinetic parameters cannot be distinguished.
(D) Nucleoside-derived reversible 1 and covalent inhibitor 2 of HSP72.TCI activity is described by an equation analogous
to the Michaelis–Menten
equation. When normalized for protein concentration, the rate of covalent
bond formation can be quantified by the pseudo-first-order rate constant, kobs (Figure C). The reversible binding event, kobs is not a true constant, as its value is dependent
on the concentration of the TCI. At TCI concentrations approaching
binding-site saturation, kobs tends to
the constant, kinact, equivalent to the
half-life of the reaction at a theoretical infinite concentration
(t1/2inf).[10] [I] at kinact/2 determines
the pseudo-equilibrium constant K, equivalent to Km when describing
enzyme substrates. The true reversible equilibrium constant for the
process, K, is often
used interchangeably with K, but this is only a fair assumption when kinact ≪ koff(11) and may not be true for tight reversible binding
TCIs. At concentrations much lower than K, the response of kobs to changing TCI concentration becomes linear. The gradient of this
relationship gives the second-order rate constant kinact/K,
which is the key kinetic parameter that describes the efficiency of
the reaction, and its optimization is the primary goal of any TCI
discovery effort toward a chemical probe (Figure C).Analysis of the kinact/K parameter
clearly demonstrates that
there are two strategies for TCI optimization: first, through the
reduction of K by increasing
the reversible affinity of the ligand for the target protein, and
second by increasing kinact. The optimization
of kinact differs from simply increasing
the intrinsic reactivity of the electrophile, as this would likely
lead to a greater off-target activity; instead, kinact optimization focuses on the particular environment
within the protein-binding site compared to bulk aqueous solvent.[12] The effect of solvent dielectric constant, proximal
residues, perturbed pKa, and the tightly
controlled bond angles and distances resulting from the reversible
binding of the ligand can lead to a dramatically enhanced rate of
covalent bond formation and high selectivity. This effect of binding-site
rate enhancement has led to effective, highly selective, and successful
TCI design of KRAS G12C inhibitors, which display a very weak reversible
affinity but exploit extremely high kinact values with sparingly low intrinsic reactivity electrophiles, resulting
in kinact/K values suitable for in vivo efficacy.[13,14]Heat shock 70 kDa protein 1 (HSP72) is a member of the HSP70
family
of molecular chaperones. It is an ATPase that binds misfolded proteins,
stabilizing the cellular environment and allowing the cell to return
to homeostasis.[15] HSP72 is induced in an
HSF1-dependent manner when the cell is undergoing stress and is overexpressed
in several cancer cell types.[16] This overexpression
is correlated with metastasis, poor prognosis, and resistance to chemotherapy
in patients.[17] Because of the clear role
of HSP72 in cancer, it has become an important target in drug discovery,
but despite considerable research effort, there is currently no potent,
selective, cellularly active chemical probe to study the function
of HSP72 in cancer cells.The nucleotide-binding domain (NBD)
of HSP72 (HSP72-NBD) can be
reversibly targeted with a series of bis-aryl nucleoside-derived
inhibitors (Figure D), which display a very high apparent affinity in biochemical assays
but suffer a steep dropoff in activity in cancer cells.[18] We hypothesized that the poor cellular activity
of this chemotype was due to competition with the high-affinity (KM for ATP = ∼1 μM), high-abundance
(∼5 mM)[19] substrate of HSP72, ATP.
We have recently reported the discovery that lysine-56 can be selectivity
targeted with an acrylate-derived TCI 2 (Figure D).[20] Targeting lysine residues with TCIs presents a number of unique
challenges and is still in its infancy,[21] but the greater prevalence of lysine in the proteome[22] could result in more wide-ranging applications
of the irreversible inhibitor paradigm than has so far been possible
through the rational targeting of cysteine.As part of our continuing
effort to develop strategies and techniques
to discover lysine-targeting covalent ligands, we now report the disclosure
of an HSP72 TCI, where our approach led to a 108-fold improvement
in kinact/K. Critical to the optimization was the development
of a covalent fluorescence polarization (covalent FP) assay that can
distinguish between the reversible and covalent components of target
occupancy, allowing for a direct comparison between covalent and reversible
analogues, which is essential for correct structure activity relationship
(SAR) interpretation. The covalent FP-assay will be widely applicable
to the optimization of TCIs of other nonenzymatic or poorly catalytic
proteins.
Results and Discussion
Analysis of the First-Generation Lysine-56 TCI Binding Mode
and Optimization of K
Exploiting extensive mass spectrometry studies, single-point
mutant proteins, and through the design of several key control compounds,
we had previously demonstrated that our first-generation acrylate
TCI 2 (Figure D) was both highly selective for lysine-56 and that an initial
reversible binding step was critical to its MOA. However, the rate
of reaction of 2 was very slow, requiring >24 h exposure,
even at high concentrations, before the intact-protein mass spectrometry
(MS) indicated complete formation of the covalent complex.[20] Therefore, our aim was to develop a strategy
to optimize lysine-56-targeting TCIs of HSP72 toward a potentially
cell active chemical probe.To redesign the second-generation
TCI with increased potency, we analyzed our two previously reported
co-crystal structures of HSP72-NBD with acrylate TCI 2 reversibly bound.[20] These structures
revealed two distinct binding modes and protein-residue conformations,
which we hypothesized were both essential for the efficiency of the
covalent inhibition MOA (Figure A,B).
Figure 2
Analysis of Lys56-targeting TCI binding modes. The tertiary
conformation
of the protein is maintained in the previously described semiopen
form in all structures and modeling. The polar interactions of the
adenine-type base and ribose are maintained in each binding mode.
All diagrams were adapted from analysis using MOE (2014.09) and PyMOL
Molecular Graphics System, Version 2.0 Schrödinger, LLC. 2.2.3
A: Tyr15 up-conformation. The acrylate electrophile of 2 forms a π-stack interaction with Tyr15 and a hydrogen bond
with Thr-37. In this reversible complex, the electrophile is too far
from Lys56 to form a covalent bond (PDB: 5MKR). B: Tyr15 downconformation. Following
rotation of Tyr15, rotation around the linker of 2 now
positions the acrylate electrophile in close proximity to Lys56, suitable
for covalent-bond formation in this precovalent complex. The acrylate
moiety was not observed in the electron density due to flexibility,
so was modeled to estimate distances (PDB: 5MKS). C: Binding mode of the high-affinity
reversible HSP72 inhibitor 1 in the Tyr15 upconformation
(PDB: 4IO8).
D: Model of a putative binding mode for a high-affinity Lys56-targeting
TCI. With Tyr15 in a downconformation, rotation of the benzylic ether
positions a potential para-electrophile at an appropriate
distance from Lys56 in a precovalent complex. E: Three-step MOA, TCI
binds HSP72 to form the reversible complex (EI) before transition
to the precovalent complex (EI*) that can result in the formation
of the covalent bond and the irreversible complex (E-I).
Analysis of Lys56-targeting TCI binding modes. The tertiary
conformation
of the protein is maintained in the previously described semiopen
form in all structures and modeling. The polar interactions of the
adenine-type base and ribose are maintained in each binding mode.
All diagrams were adapted from analysis using MOE (2014.09) and PyMOL
Molecular Graphics System, Version 2.0 Schrödinger, LLC. 2.2.3
A: Tyr15 up-conformation. The acrylate electrophile of 2 forms a π-stack interaction with Tyr15 and a hydrogen bond
with Thr-37. In this reversible complex, the electrophile is too far
from Lys56 to form a covalent bond (PDB: 5MKR). B: Tyr15 downconformation. Following
rotation of Tyr15, rotation around the linker of 2 now
positions the acrylate electrophile in close proximity to Lys56, suitable
for covalent-bond formation in this precovalent complex. The acrylate
moiety was not observed in the electron density due to flexibility,
so was modeled to estimate distances (PDB: 5MKS). C: Binding mode of the high-affinity
reversible HSP72 inhibitor 1 in the Tyr15 upconformation
(PDB: 4IO8).
D: Model of a putative binding mode for a high-affinity Lys56-targeting
TCI. With Tyr15 in a downconformation, rotation of the benzylic ether
positions a potential para-electrophile at an appropriate
distance from Lys56 in a precovalent complex. E: Three-step MOA, TCI
binds HSP72 to form the reversible complex (EI) before transition
to the precovalent complex (EI*) that can result in the formation
of the covalent bond and the irreversible complex (E-I).In the putative reversible complex of acrylate
TCI 2 (Figure A, PDB: 5MKR),[20] Tyr15 was in an upconformation, blocking
any direct vector
from the ligand to the nucleophilic Lys56. The electrophilic acrylate
moiety formed an eclipsed conformation, resulting in a π-stack
interaction with Tyr15 and a hydrogen bond to Thr37. In the putative
precovalent complex (Figure B, PDB: 5MKS),[20] the electrophile was observed in
an elongated conformation and with Tyr15 in a downconformation.[23,24] The conformational flip of Tyr15 allowed the acrylate moiety to
position proximally to the Lys56 nucleophile, which is essential for
covalent-bond formation. The hydrogen-bonding array of the 8-aminoadenosine-motif
and the position of the lipophilic p-chlorophenyl
substituent were maintained in both binding modes. From this analysis,
we proposed that the MOA of an HSP72 TCI proceeds via a three-step
mechanism (Figure E). First, the TCI binds HSP72 to give a reversible complex (EI)
that would contribute to the reversible occupancy but could not lead
directly to covalent occupancy. Transition of the reversible complex
(EI) to the precovalent complex (EI*) would be essential for the formation
of the covalent bond and the resulting irreversible complex (E-I).
Optimization of the affinity for the reversible complex would still
result in increased potency of the covalent bond formation, although K would now describe a pseudo-equilibrium constant
as a combination of the microscopic rate constants for the formation
of the encounter complex and conformational switch, in a manner consistent
with an induced fit binding MOA.[25] This
would also assume that the conformational flexibility of Tyr15 is
sufficient to allow transition to the precovalent complex and access
the Lys56 nucleophile so that covalent bond formation is rate determining
in kinact.To optimize the reversible
affinity of our TCI, we aimed to exploit
the high-affinity 5′-O-benzyl class of HSP72
inhibitors (Figure C). Analysis of the reversible complex (PDB: 4IO8)[26] of nitrile 1 (FP-Assay pK > 6.70, K = <0.20 μM, N = 3)[27,28] revealed that this ligand forms similar polar and lipophilic interactions
in the 8-aminoadenosine- and p-chlorophenyl-regions
of HSP72-NBD as our acrylate TCI 2. Importantly, the
5′-O-benzyl substituent occupies the same
pocket as the acrylate moiety, so we hypothesized that a benzyl group
with an appropriately positioned electrophile could exploit both the
high-affinity reversible complex and could transition to the precovalent
complex (Figure D)
in a similar putative three-step mechanism to our acrylate TCI 2. To assess whether the proposed transition of the reversible
to the precovalent complex was viable (Figure B), we carried out a rapid overlay of chemical
structures (ROCS)[29] ligand-based analysis
on the favorability of the linker torsional angles in this conformationally
restricted structure, as this would be critical if we were to incorporate
a 5′-benzylic substituent in our TCI design. Through alignment
of the 5′-O-benzyl motif of 1 to the precovalent complex acrylate conformation of 2 and by comparison with known conformations of this chemotype in
the Cambridge Structural Database (CSD)[30] (Figure C), it was
demonstrated that a second-generation inhibitor could adopt an acceptable
benzylic torsional angle, resulting in a viable conformation for covalent-bond
formation. Finally, in this conformation, the para-position gave the shortest distance to Lys56 (Figure D), so an electrophile at this position was
incorporated to complete our rational design hypothesis for the second-generation
HSP72 TCI.
Figure 3
Conformation analysis of the proposed second-generation HSP72 TCI.
A: Overlay of the acrylate TCI 2 (green) and the high-affinity
reversible inhibitor 1 (cyan). B: Overlay of the acrylate
TCI 2 (green) and the proposed conformation of the second-generation
TCI (cyan) in the precovalent complex. The generic electrophile is
represented as a purple sphere. C: Frequency distribution of torsional
angles for 5′-O-adenosine derivatives observed
in the CSD; the green line represents the desired torsional angle.
D: At the desired torsional angle, the modeled distances to Lys56
from different ring positions.
Conformation analysis of the proposed second-generation HSP72 TCI.
A: Overlay of the acrylate TCI 2 (green) and the high-affinity
reversible inhibitor 1 (cyan). B: Overlay of the acrylate
TCI 2 (green) and the proposed conformation of the second-generation
TCI (cyan) in the precovalent complex. The generic electrophile is
represented as a purple sphere. C: Frequency distribution of torsional
angles for 5′-O-adenosine derivatives observed
in the CSD; the green line represents the desired torsional angle.
D: At the desired torsional angle, the modeled distances to Lys56
from different ring positions.
Selection and Synthesis of a Lysine-Targeting Warhead and Optimization
of kinact
Our first-generation
TCI 2 utilized an acrylate warhead to form the covalent
bond, which we hypothesized was suboptimal for targeting lysine residues
in proteins. Lysine is a hard nucleophile and hence should display
an enhanced rate of reaction with hard electrophiles, but few lysine-selective
electrophiles have so far been described in the literature.[31] A recent study by Campos et al. successfully
exploited activated phenolic esters as hard electrophiles to target
the catalytic lysine of PI3Kδ.[32] To
incorporate this concept into the design of our second-generation
TCI, we developed a synthetic strategy that added an activated ester
with a p-fluorophenol leaving group into the 5′-para-benzylic vector we had identified from our TCI MOA
analysis.The synthesis of the second-generation TCI began with
benzylation of the 5′-hydroxyl of 2′,3′-acetonide-protected
6-chlororiboside 3 (Scheme ). The order of addition is essential in
this transformation to avoid oligomerization at the 6-chloro position; 3 was first treated with 4-(bromomethyl) benzonitrile, followed
by exposure to NaH at 0 °C,[18] which
gave the 5′-ether 4 in 56% yield. SNAr displacement with ammonia at the 6-position before selective oxidation
with bromine at the 8-position gave 5 in 59% yield over
two steps as single regioisomer. A second SNAr displacement
with 4-chlorobenzylamine gave the key covalent precursor 6 in 66% yield. To synthesize the lysine-targeting warhead, the nitrile
moiety of 6 was hydrolyzed under basic conditions to
give benzoic acid 7, which then underwent coupling with
4-fluorophenol using standard HATU conditions, and following acetonide
deprotection, gave the second-generation TCI 8 in seven
steps and 5% overall yield. Deprotection of the intermediate 6 gave the reversible molecular matched pair (MMP) 9 in 47% yield.
Scheme 1
Synthesis of the Second-Generation Lysine-56-Targeting
TCI
Reagents and conditions:
(i)
4-(bromomethyl) benzonitrile, NaH (60% in mineral oil), dimethylformamide
(DMF), room temperature (RT), 1 h, 56%; (ii) 7 M NH3/MeOH,
110 °C, MW, 2 h, 82%; (iii) Br2, K2HPO4·3H2O, H2O, 1,4-dioxane, RT, 1
h, 72%; (iv) 4-chlorobenzylamine, EtOH, 160 °C, MW, 1 h, 66%;
(v) 2 M NaOH, EtOH, 100 °C 3 h, 58%; (vi) 4-fluorophenol, HATU,
DIPEA, DMF, RT, 18 h, 47%; (vii) TFA/H2O (5:2), RT, 0.5
h, 85%; (viii) 5:2 TFA/H2O, RT, 0.5 h, 47%.
Synthesis of the Second-Generation Lysine-56-Targeting
TCI
Reagents and conditions:
(i)
4-(bromomethyl) benzonitrile, NaH (60% in mineral oil), dimethylformamide
(DMF), room temperature (RT), 1 h, 56%; (ii) 7 M NH3/MeOH,
110 °C, MW, 2 h, 82%; (iii) Br2, K2HPO4·3H2O, H2O, 1,4-dioxane, RT, 1
h, 72%; (iv) 4-chlorobenzylamine, EtOH, 160 °C, MW, 1 h, 66%;
(v) 2 M NaOH, EtOH, 100 °C 3 h, 58%; (vi) 4-fluorophenol, HATU,
DIPEA, DMF, RT, 18 h, 47%; (vii) TFA/H2O (5:2), RT, 0.5
h, 85%; (viii) 5:2 TFA/H2O, RT, 0.5 h, 47%.
Characterization of the Second-Generation TCI 8
To investigate the reversible affinity and the potential
to form a covalent bond with Lys56 in HSP72-NBD with our second-generation
TCI 8 (Table , entry 3; Table , entry 2), we repeated our previously described analysis
using the nucleotide-derived FP-assay, comparing the data to the first-generation
TCI 2 (Table , entry 1; Table , entry 1). Briefly, displacement of the nucleotide-derived
FP probe by the ligand was used to determine an apparent (App.) K.[27] Because the bound fraction of the probe is dependent on the effective
concentration of the protein, a time-dependent decrease following
covalent bond formation should result in a shift in the binding curve
for the TCI. The time-dependent FP-assay data revealed that the initial
reversible binding affinity of activated ester 8 displayed
a 7-fold improvement over our first-generation TCI 2 but
was >13-fold weaker than the tight-binding reversible nitrile MMP 9 (Table ,
entry 2; pK > 6.70, K = <0.20 μM, N = 3). Disappointingly, there was no clear time dependence
in the App. K, and consistent with this
result, analysis of the intact-protein MS data for 8 also
revealed no evidence of specific and selective covalent-bond formation.
Table 1
Kinetic and Affinity Analysis of Covalent
and Noncovalent Inhibitors of HSP72a–f
All data were processed and analyzed
using GraphPad Prism 7.04. All values are quoted to two significant
figures. NA = not applicable, ND = not determined.
App. K = Apparent K. Each concentration represents n = 3 statistical
repeats, arithmetic mean ± standard error of the mean (SEM).
Each time course was generated from continuous measurements of each
assay and assumes no significant TCI depletion. App. K values were calculated from the fitted
IC50 curve using nonlinear regression (four parameters)
using the method in ref (27) (see the Supporting Information).
Calculated using the
method described
in Figure . Each value
represents the arithmetic mean ± SEM of n =
3 biological repeats.
Calculated
from the respective kinact/K and initial K values using the method described in Figure .
t1/2inf = ln 2/kinact.
Calculated from the IC50 curves using nonlinear regression (four parameters) using the method
described in Figure .
Table 2
HSP72 TCI Analysisa–d
All data were processed and analyzed
using GraphPad Prism 7.04.
App. K = Apparent K. Each concentration represents n = 3 statistical
repeats, arithmetic mean ± SEM. Each time course was generated
from continuous measurements of each assay and assumes no significant
TCI depletion. App. K values were calculated from the fitted IC50 curve using
nonlinear regression (four parameters) using the method in ref (27) (see the Supporting Information).
Intact protein mass spectrometry.
Entry 1: HSP72-NBD [2.3 μM] and TCI [200 μM] incubated
for the time indicated. Entries 2–4: HSP72-NBD [2.0 μM]
and TCI [20 μM] incubated for the time indicated. The MS of
the resulting protein/TCI adducts were analyzed using Agilent MassHunter
Qualitative B.06.
kinact/K values calculated
from the covalent FP-assay. The gradient of each slope was calculated
from the linear regression, representative example of N = 3 independent biological repeats (see the Supporting Information for details).
All data were processed and analyzed
using GraphPad Prism 7.04. All values are quoted to two significant
figures. NA = not applicable, ND = not determined.App. K = Apparent K. Each concentration represents n = 3 statistical
repeats, arithmetic mean ± standard error of the mean (SEM).
Each time course was generated from continuous measurements of each
assay and assumes no significant TCI depletion. App. K values were calculated from the fitted
IC50 curve using nonlinear regression (four parameters)
using the method in ref (27) (see the Supporting Information).Calculated using the
method described
in Figure . Each value
represents the arithmetic mean ± SEM of n =
3 biological repeats.
Figure 4
Covalent FP-assay to determine the efficiency of covalent-bond
formation. (1) Initial titration across a wide range of TCI concentrations
and timepoints. (2) Extrapolation of the time-dependent change in Fb to t = 0. (3) Estimation of initial K from extrapolated t = 0 Fb values; for an example
of how to determine K from an IC50 in the FP-assay, see the Supporting Information.[27] (4) Second focused
titration on concentrations of TCI < K. (5) Gradient of time-dependent change in Fb used to calculate kobs at a given concentration of TCI. (6) The gradient of the rate of
change of kobs with [TCI] determines the
second-order rate constant kinact/K. (7) By assuming K = K, kinact can
be calculated from kinact/K and converted to t1/2inf. See the Supporting Information for details.
Calculated
from the respective kinact/K and initial K values using the method described in Figure .t1/2inf = ln 2/kinact.Calculated from the IC50 curves using nonlinear regression (four parameters) using the method
described in Figure .All data were processed and analyzed
using GraphPad Prism 7.04.App. K = Apparent K. Each concentration represents n = 3 statistical
repeats, arithmetic mean ± SEM. Each time course was generated
from continuous measurements of each assay and assumes no significant
TCI depletion. App. K values were calculated from the fitted IC50 curve using
nonlinear regression (four parameters) using the method in ref (27) (see the Supporting Information).Intact protein mass spectrometry.
Entry 1: HSP72-NBD [2.3 μM] and TCI [200 μM] incubated
for the time indicated. Entries 2–4: HSP72-NBD [2.0 μM]
and TCI [20 μM] incubated for the time indicated. The MS of
the resulting protein/TCI adducts were analyzed using Agilent MassHunter
Qualitative B.06.kinact/K values calculated
from the covalent FP-assay. The gradient of each slope was calculated
from the linear regression, representative example of N = 3 independent biological repeats (see the Supporting Information for details).From these data, we concluded that although our TCI
design was
successful in predicting that the binding site could accommodate the
activated ester and maintain reversible affinity, we had failed to
account for the stereoelectronic requirements of the electrophile.
Efficient nucleophilic addition to the carbonyl must satisfy the correct
Bürgi–Dunitz[33] and Flippin–Lodge
angles[34] at appropriate reaction distances.
This could not be achieved with p-fluorophenolate
leaving group adopting the necessary vector-to-solvent in the conformationally
restrictive TCI reversible binding mode, thus blocking covalent-bond
formation and the E-I complex.
Design and Synthesis of the Third-Generation HSP72 TCI
The aryl sulfonyl fluoride electrophile has recently become popular
in both synthetic chemistry and chemical biology.[35,36] Sulfonyl fluorides are stable in water under physiologically relevant
conditions and have previously been shown to react readily with lysine
residues in proteins.[35,36] A recent study by Grimster et
al. demonstrated that the electrophilicity of the moiety displays
a strong dependence on the electronics of the attached aromatic ring
and can be modulated to give an intrinsic reactivity against glutathione,
comparable to chemical probe-relevant N-arylacrylamide
electrophiles.[37] The solvation-dependent
fluoride leaving group is less likely to form a steric clash, and
the proposed SAN associative mechanism[38] should allow for a less restrictive stereoelectronic requirement
for the reaction in the conformationally rigid protein-binding site.
We therefore hypothesized that incorporation of an aryl sulfonyl fluoride
electrophile would be effective in our Lys56-targeting HSP72 third-generation
TCI. Unfortunately, our current methodology for the synthesis of 5′-benzylriboside
ethers proved incompatible with the incorporation of the sulfonyl
fluoride electrophile, so we adapted our TCI design to include an
ester linker.2′,3′-Acetonide-protected adenosine 10 was selectively oxidized with bromine to give 11 in moderate yield. SNAr displacement with 4-chlorobenzylamine
gave 12, which then underwent selective esterification
with 4-(fluorosulfonyl)benzoyl chloride to give 13 in
56% yield. The sulfonyl fluoride electrophile proved stable to the
acetonide-deprotection conditions and gave the third-generation TCI 14, following treatment with TFA/H2O, in four steps
and 13% overall yield. To determine the effect of the 5′-ester
linker on the reversible affinity, we synthesized the noncovalent
ester MMP 15 of ether 9 in two steps from
the primary alcohol intermediate 12 in 16% yield using
4-cyanobenzoyl chloride (Scheme ).
Scheme 2
Synthesis of Third-Generation Aryl Sulfonyl Fluoride
HSP72 TCIs
The reversible
5′-ester analogue 15 displayed a binding affinity
of K = 3.5 μM
(pK = 5.45 ± 0.01, N = 3), >18-fold less potent than the tight-binding ether
MMP 9 but sufficiently potent to investigate the role
of the electrophile in HSP72 TCI design. Therefore, the third-generation
ester sulfonyl fluoride TCI 14 was analyzed in the HSP72-NBD
FP-assay. Pleasingly, 14 displayed a clear time-dependent
shift in the probe displacement curve, consistent with covalent bond
formation. The App. K = 17 μM observed after 5 min exposure of TCI 14 was comparable to the reversible ester analogue 15.
The App. K appeared
to increase in activity 24-fold over 2 h. The MMP irreversible control 13 showed no reversible binding affinity and no time-dependent
displacement of the FP-probe. The analysis was repeated using the
HSP72-NBD K56A mutant (see the Supporting Information):[20] no time-dependent shift in the probe
displacement curve was observed, suggesting no significant formation
of the covalent adduct with TCI 14 under the same conditions
as the WT-HSP72-NBD, confirming the reaction specificity and requirement
for an initial reversible binding event.To confirm these results
were due to covalent-bond formation, we then analyzed the reaction
by intact-protein MS. A solution of HSP72-NBD and p-sulfonyl fluoride (SF) TCI 14 (20 μM 14 and 2.0 μM HSP72-NBD) was incubated at 21 °C (room temperature)
for 2 h. The experiment was repeated with irreversible control 13 under the same conditions. These data revealed that SF
TCI 14 formed a covalent bond with HSP72-NBD, with the
reaction going apparently to completion within 3 h of exposure using
this semiquantitative assessment. The irreversible control MMP 13 gave no reaction under these conditions.
Covalent FP-Assay
The timeframe of the App. K shift and intact-protein
MS with the third-generation SF TCI 14 strongly indicated
that it was far more efficient than the first-generation acrylate
TCI 2 (Table , entry 1 vs Table , entry 4), as the formation of the covalent adduct was reduced
from days to hours. However, using these data alone, it was not possible
to quantify this optimization or to determine whether the increased
activity was due to an increase in the reversible binding affinity K, an increase in efficiency
of the covalent reaction kinact, or a
mixture of the two, although analysis of the early time point App. K values did suggest the two analogues might
possess comparable reversible affinity. To deconvolute the TCI optimization,
it would be necessary to develop a new method to determine the kinetic
parameters involved in the irreversible inhibition of HSP72-NBD.Determining the kinetic parameters involved in covalent bond formation
with proteins can be challenging.[39] Kinetic
data often relies upon reaction rate changes evaluated from secondary
readouts, such as substrate to product formation. While this analysis
can be accurate in determining the key second-order rate constant
for the process, kinact/K, it can be difficult to accurately
distinguish whether the retardation of the substrate to product reaction
rate is due to reversible target occupancy or irreversible covalent
bond formation. When attempting to determine kinact, the reversible target occupancy is very high and approaches
saturation, which significantly slows the substrate to product reaction
separately from the covalent occupancy. Under these conditions, the
time-dependent change in the rate of substrate to product reaction,
necessary to determine kinact, is unavoidably
very small and difficult to quantify accurately.[9] This can lead to a significant underestimation of kinact and a resulting overestimation of the
binding affinity, K.
While a direct measurement of the rate of protein–TCI covalent
adduct formation, the actual product of interest, using quantified
mass spectrometry would circumvent many of these challenges, though
determining kinetic parameters for tight-binding and high-kinact TCIs would still be difficult, this method
is typically low-throughput and cannot observe noncovalent adducts
due to the denaturing conditions of the assay. Therefore, TCI reversible
affinities cannot be simply compared to their reversible noncovalent
MMPs, a crucial requirement for efficient optimization.Following
analysis of the nucleotide-derived HSP72-NBD FP-assay,
we hypothesized that it could be adapted to determine the kinetic
parameters of covalent bond formation and would allow us to directly
compare TCIs with reversible analogues. The probe bound fraction (Fb) is determined by the affinity of the probe
and the apparent concentration of the protein (see the Supporting Information for details).[27] Changes in the bound fraction of the probe are
observed through changes in the polarization of light emitted. Crucially,
changes in the bound fraction are proportional to the effective concentration
of protein. Displacement of the FP-probe by an inhibitor essentially
decreases the effective concentration of protein, resulting in a decrease
in the bound fraction. For a reversible inhibitor at equilibrium,
the bound fraction remains constant at a given concentration. For
an irreversible covalent inhibitor, the effective protein concentration
decreases with time, which must result in a decrease in bound fraction.
The time-dependent change in probe bound fraction could therefore
be used to quantify the covalent-bond formation without secondary
product formation or MS analysis.To quantify the covalent bond
formation for our TCIs with HSP72-NBD,
we would need to interpret the time-dependent change in polarization
of light from the probe. The polarization must first be converted
into the anisotropy, as the bound fraction of the fluorescent probe
is directly proportional to the anisotropy (A). However, Fb displays a nonlinear relationship with the effective protein concentration
(E) such that at high bound fractions (Fb > 0.8), small changes in anisotropy would equate to very large
changes
in effective protein concentration, resulting in low accuracy. At
low bound fractions (Fb < 0.4), large
changes in anisotropy would be needed to observe a small change in
effective protein concentration, which would result in low sensitivity
(see the Supporting Information). Between
these two extremes, the response of bound fraction to changes in the
effective protein concentration are linear to an acceptable approximation.[27]To develop the HSP72 covalent FP-assay,
we selected an initial
protein concentration that would lead to a high bound fraction (Fb = 0.8), as the reversible occupancy of the
protein would rapidly displace the probe and reduce Fb. If the initial effective protein concentration was
too low, this reversible displacement would move our analysis outside
of the linear quantification window of the assay. As the concentration
of the TCI is increased, the rate of change of Fb will increase. Following extrapolation of the linear regression
to t = 0, the initial Fb values are then plotted against the TCI concentration to generate
a displacement curve and calculate the initial K. This quantifies the reversible affinity
of the ligand, prior to the formation of the covalent bond and depletion
of the effective protein concentration. The initial K value is then used to focus a second FP titration
at TCI concentrations below initial K to estimate the crucial second-order rate constant kinact/K. Linear regression on the Fb versus
time graph will give the rate of change of Fb, which is converted into the pseudo-first-order rate constant kobs, using the Fb values extrapolated from t = 0. Finally, the plot
of kobs against the TCI concentration
would give kinact/K from the gradient of the linear region of
the graph, and by assuming K= K, we can
estimate kinact from this relationship
and the initial K (Figure ).Covalent FP-assay to determine the efficiency of covalent-bond
formation. (1) Initial titration across a wide range of TCI concentrations
and timepoints. (2) Extrapolation of the time-dependent change in Fb to t = 0. (3) Estimation of initial K from extrapolated t = 0 Fb values; for an example
of how to determine K from an IC50 in the FP-assay, see the Supporting Information.[27] (4) Second focused
titration on concentrations of TCI < K. (5) Gradient of time-dependent change in Fb used to calculate kobs at a given concentration of TCI. (6) The gradient of the rate of
change of kobs with [TCI] determines the
second-order rate constant kinact/K. (7) By assuming K = K, kinact can
be calculated from kinact/K and converted to t1/2inf. See the Supporting Information for details.
Kinetic Characterization of the Lysine-Targeting TCIs
Using our analysis from the covalent FP-assay, third-generation aryl-SF
TCI 14 displayed a second-order rate constant for the
efficiency of the covalent-bond formation with HSP72-NBD[40] of kinact/K = 35 ± 1.7 M–1 s–1 and kinact calculated
as 3.6 × 10–4 s–1, equivalent
to t1/2inf = 32 min (Table , entry 6). The half-life
from the covalent FP-assay was consistent with the data from our intact-protein
MS assay (Table ,
entry 4) that showed complete modification of HSP72-NBD by SF TCI 14 (20 μM, 2 × initial K) within 3 h (5.6 half-lives).Comparing to the first-generation
acrylate TCI 2 (Table , entry 1; Table , entry 1): the aryl-SF-TCI 14 displayed
a 41-fold increase in kinact/K, consistent with the time-dependent
shift observed in the FP-assay. However, this improvement in covalent
efficiency was not due to an increase in reversible affinity, as initial K only increased by 1.8-fold.
The optimization of kinact/K was derived largely by an improved kinact (23-fold increase). The negative-control
MMP of aryl-SF 14, acetonide 13, displayed
no reactivity with accessible nucleophilic residues on HSP72-NBD to
form a covalent adduct when assessed by intact protein MS, which suggested
that the compatibility of the harder lysine electrophile was the driver
of kinact rather than intrinsic reactivity.
K Optimization
of the Third-Generation Aryl-SF TCI
Exploiting the versatility
of the covalent FP-assay to directly compare covalent and noncovalent
ligands, we designed a series of 5′-aryl-SF TCI analogues based
on the known affinities of their reversible MMPs. Substitution at
the 8-position of the adenine ring is essential for the affinity of
this class of inhibitors, and these diverse structures are synthetically
tractable (Scheme ).[18,23,41,42]Analysis of the kinetics of the Lys56-targeting
HSP72-NBD TCI series revealed that kinact was comparable across the three aryl-SF analogues where a value
could be determined (Table , entries 6 and 8–9). The 8-nonsubstituted analogue 16 displayed an activity 70-fold weaker than that of N-4-chlorobenzyl TCI 14, demonstrating the
importance of reversible affinity for TCI efficiency against this
target. The 8-N-methyl-substituted analogue 17 decreased the covalent efficiency of the TCI 11-fold, which
was predominately due to a drop in initial K consistent with the reported activity of
its reversible MMP.[23] Finally, substitution
with the 8-N-quinoline moiety, an analogue previously
demonstrated to display the highest affinity as a reversible MMP,[41] to give 18, enhanced kinact/K 2.7-fold
compared to the p-chloro aryl-SF TCI 14, consistent with the 2.1-fold improvement in reversible affinity,
and representing a 108-fold enhancement in covalent efficiency over
our first-generation acrylate TCI 2.
Conclusions
The design, application, and analysis of
TCIs in a rational and
quantitative manner remain a critical challenge in covalent inhibitor
drug discovery. The covalent FP-assay we developed utilized the time-dependent
change in FP-probe bound fraction to determine the fundamental parameters
of covalent-bond formation. For proteins like HSP72 with poor catalytic
turnover in biochemical assays or nonenzymatic receptors and scaffolding
proteins, the covalent FP-assay will be an important addition to the
available methods to quantify and deconvolute the activity of TCIs,
particularly as noncovalent reversible MMPs can be directly compared
without the need to change assay formats.We exploited our novel
covalent FP-assay to continue our development
of methods and strategies to discover lysine-targeting covalent inhibitors.
Through our exhaustive understanding of the SAR and binding mode of
nucleoside-derived reversible ligands of HSP72, we designed a next-generation
sulfonyl fluoride TCI 18, which displayed a 108-fold
enhancement in the critical second-order rate constant, kinact/K.
Further analysis revealed that the rate enhancement was due to both
optimization of K, in
a manner consistent with their MMP reversible analogues, and through
a significant increase in kinact. The
failure of our activated ester second-generation TCI 8 demonstrates the importance of electrophile design when targeting
the harder nucleophile in lysine residues. The angles of attack in
a conformationally restrictive environment, while maintaining the
vectors and steric requirements to accommodate a leaving group, makes
the design of lysine-selective electrophiles challenging. The sulfonyl
fluoride electrophile was able to circumvent many of these difficulties,
with its small fluoride leaving group and accommodating sulfur electrophilic
center, and this represents a key learning in lysine electrophile
design. As we continue to progress toward a cell active chemical probe
for HSP72 and as we improve our understanding and design strategy
toward lysine-targeting covalent inhibitors of other challenging targets,
the nature of the electrophile will prove crucial if we are to be
successful.
Experimental Section
General Experimental
Unless otherwise stated, reactions
were conducted in oven-dried glassware under an atmosphere of nitrogen
or argon using anhydrous solvents. All commercially obtained reagents
and solvents were used as received. Thin-layer chromatography (TLC)
was performed on precoated aluminum sheets of silica (60 F254 nm,
Merck) and visualized using short-wave UV light. Flash column chromatography
was carried out on Merck silica gel 60 (partial size, 40–65
μm). Column chromatography was also performed on a Biotage SP1
or Biotage Isolera Four purification system using Biotage Flash silica
cartridges (SNAP KP-Sil) or for reverse-phase purifications SNAP Ultra
C18 cartridges. Ion-exchange chromatography was performed using acidic
Isolute Flash SCX-II columns. 1H NMR spectra were recorded
on Bruker AMX500 (500 MHz) spectrometers using an internal deuterium
lock. Chemical shifts are quoted in parts per million (ppm) using
the following internal references: CDCl3 (δH 7.26),
MeOD (δH 3.31), and dimethyl sulfoxide (DMSO)-d6 (δH 2.50). Signal multiplicities are recorded
as singlet (s), doublet (d), triplet (t), quartet (q), multiplet (m),
doublet of doublets (dd), doublet of doublet of doublets (ddd), broad
(br), apparent (app), or obscured (obs). Coupling constants, J, are
measured to the nearest 0.1 Hz. 13C NMR spectra were recorded
on Bruker AMX500 spectrometers at 126 MHz using an internal deuterium
lock. Chemical shifts are quoted to 0.01 ppm, unless greater accuracy
was required, using the following internal references: CDCl3 (δC 77.0), MeOD (δC 49.0), and DMSO-d6 (δC 39.5). High-resolution mass spectra were recorded
on an Agilent 1200 series HPLC and diode array detector coupled to
a 6210 time-of-flight mass spectrometer with dual multimode APCI/ESI
source or on a Waters Acquity UPLC and diode array detector coupled
to a Waters G2 QToF mass spectrometer fitted with a multimode ESI/APCI
source. For HRMS and liquid chromatography-mass spectrometry (LCMS)
extended mass (100–1000 AMU), analytical separation was carried
out at 30 °C on a Merck Chromolith Flash column (RP-18e, 25 mm ×
2 mm) using a flow rate of 0.75 mL/min in a 4 min gradient elution
with detection at 254 nm. The mobile phase was a mixture of methanol
(solvent A) and water (solvent B), both containing formic acid at
0.1%. Gradient elution was as follows: 5:95 (A/B) to 100:0 (A/B) over
2.5 min, 100:0 (A/B) for 1 min, and then reversion back to 5:95 (A/B)
over 0.1 min, finally 5:95 (A/B) for 0.4 min. HRMS references: caffeine
[M + H]+ 195.087652; hexakis (2,2-difluroethoxy)phosphazene
[M + H]+ 622.02896; and hexakis(1H,1H,3H-tetrafluoropentoxy)phosphazene [M
+ H]+ 922.009798. For standard LCMS, analytical separation
was carried out at 40 °C on a Merck Chromolith Flash column (RP-18e,
25 mm × 2 mm) using a flow rate of 1.5 mL/min in a 2 min gradient
elution with detection at 254 nm. The mobile phase was a mixture of
methanol (solvent A) and water (solvent B), both containing formic
acid at 0.1%. Gradient elution was as follows: 5:95 (A/B) to 100:0
(A/B) over 1.25 min, 100:0 (A/B) for 0.5 min, and then reversion back
to 5:95 (A/B) over 0.05 min, finally 5:95 (A/B) for 0.2 min. Infrared
spectra were recorded on a Bruker α-p Fourier transform infrared
(FT-IR) spectrometer. Absorption maxima (νmax) are
quoted in wavenumbers (cm–1). All compounds were
found to be >95% pure by HPLC analysis unless otherwise stated.
The
standard adenine and adenosine numbering has been used throughout.
All compounds were found to be >95% pure by LCMS analysis unless
otherwise
stated.
6-Chloro-9-[2,3-O-(1-methylethylidene)-β-d-ribofuranosyl]-9H-Purine 3 (3.05 g, 9.34 mmol) and 4-(bromomethyl)benzonitrile (7.33
g, 37.4 mmol) were dissolved in DMF (80 mL) and stirred at room temperature
for 5 min. Sodium hydride (60% in mineral oil, 0.41 g, 10.3 mmol)
was then added, and the reaction was stirred at room temperature for
a further 45 min. The reaction was quenched with 1% AcOH (20 mL),
then taken up in EtOAc (60 mL) and water (60 mL). The organic extracts
were washed with sat. NaCl (3 × 50 mL) and dried over MgSO4. The solvent was then removed under reduced pressure to give
the crude product, which was purified by silica gel chromatography
with the Biotage SP1 purification system (Cyc/EtOAc 100:0 to 70:30)
to give the title compound 4 as a colorless foam (2.3
g, 56%); 1H NMR (600 MHz, CDCl3) δH 8.73
(s, 1H), 8.30 (s, 1H), 7.55 (d, J = 8.3 Hz, 2H),
7.23 (d, J = 8.2 Hz, 2H), 6.23 (d, J = 2.3 Hz, 1H), 5.38 (dd, J = 6.1, 2.3 Hz, 1H),
5.00 (dd, J = 6.1, 2.5 Hz, 1H), 4.59 (app. dt, J = 4.1, 2.9 Hz, 1H), 4.50 (d, J = 12.7
Hz, 1H), 4.47 (d, J = 12.7 Hz, 1H), 3.75 (dd, J = 10.5, 3.1 Hz, 1H), 3.68 (dd, J = 10.6,
4.2 Hz, 1H), 1.64 (s, 3H), 1.42 (s, 3H); 13C NMR (151 MHz,
CDCl3) δC 152.21, 151.36, 151.05, 143.87, 142.34, 132.39, 127.82,
118.83, 118.61, 114.68, 112.02, 92.38, 86.40, 84.92, 81.79, 72.78,
71.01, 27.29, 25.50; HRMS (ESI) C21H21N5O435Cl (M + H+) requires
442.1277, found 442.1254; tR (LCMS) =
1.39 min.
2′,3′-O-isopropylideneadenosine 10 (1.17 g, 3.81
mmol) was dissolved in 1,4-dioxane (16 mL) and stirred to dissolution.
K2HPO4·3H2O (2.61 g, 11.4 mmol)
was dissolved in water (16 mL) and then added to bromine (1.52 g,
9.52 mmol). The bromine solution was added dropwise to the stirred
adenosine solution at room temperature. After 30 min, the reaction
was quenched with sat. aq. Na2S2O3 solution (30 mL) and stirred for a further 2 min. The resulting
mixture was extracted with EtOAc (3 × 100 mL), then the combined
organic layers washed with sat. NaCl and dried over Na2SO4. The solvent was removed under reduced pressure, and
the crude product was purified by silica gel chromatography with the
Biotage SP1 purification system (EtOAc/EtOH 100:0 to 80:20) to give
the title compound 11 as an orange solid (1.1 g, 74%); 1H NMR (500 MHz, DMSO-d6) δH
8.15 (s, 1H), 7.56 (s, 2H), 6.02 (d, J = 2.7 Hz,
1H), 5.66 (dd, J = 6.2, 2.7 Hz, 1H), 5.12 (dd, J = 6.3, 5.5 Hz, 1H), 5.03 (dd, J = 6.2,
3.0 Hz, 1H), 4.16 (td, J = 5.8, 3.0 Hz, 1H), 3.52
(dt, J = 11.5, 5.5 Hz, 1H), 3.43 (dt, J = 11.5, 6.3 Hz, 1H), 1.55 (s, 3H), 1.33 (s, 3H); 13C
NMR (126 MHz, DMSO-d6) δC 154.1,
151.6, 149.6, 126.9, 119.3, 113.3, 91.0, 87.3, 82.0, 81.6, 61.4, 27.1,
25.3; HRMS (ESI) C13H17N5O479Br (M + H+) requires 386.0458, found 386.0456; tR (LCMS) = 1.22 min; IR (FTIR-ATR)/cm–1 = 3321, 3172, 2953, 2851, 1657, 1596, 1575, 1497, 1461.
((3aR,4R,6R,6aR)-6-(6-amino-8-bromo-9H-purin-9-yl)-2,2-dimethyltetrahydrofuro[3,4-d][1,3]dioxol-4-yl)methanol 11 (0.40 g, 1.04 mmol) was dissolved in 33% methylamine in
ethanol (5.2 mL) and heated in microwave for 1 h at 160 °C. The
solvent was removed under reduced pressure, and the crude product
was purified by reverse-phase C18 chromatography with the Biotage
SP1 purification system (water/MeCN + 1% formic acid, 90:10 to 40:60)
to give ((3aR,4R,6R,6aR)-6-(6-amino-8-(methylamino)-9H-purin-9-yl)-2,2-dimethyltetrahydrofuro[3,4-d][1,3]dioxol-4-yl)methanol
as an orange oil (0.27 g, 77%); 1H NMR (500 MHz, CDCl3) δH 8.06 (s, 1H), 6.41 (s, 2H), 6.00 (d, J = 4.2 Hz, 1H), 5.76 (app. s, 1H), 5.14 (dd, J =
6.5, 4.2 Hz, 1H), 5.03 (dd, J = 6.4, 2.7 Hz, 1H),
4.36 (app. q, J = 2.2 Hz, 1H), 3.98 (dd, J = 12.1, 2.2 Hz, 1H), 3.85 (dd, J = 12.1,
2.1 Hz, 1H), 2.95 (app. s, 3H), 1.62 (s, 3H), 1.36 (s, 3H); 13C NMR (126 MHz, CDCl3) δC 152.52, 151.40, 149.30,
147.87, 117.23, 114.85, 90.03, 85.38, 82.67, 80.74, 62.16, 29.72,
27.54, 25.38; HRMS (ESI) C14H21N6O4 (M + H+) requires 337.1619, found 337.1608; tR (LCMS) = 0.93 min; IR (FTIR-ATR)/cm–1 = 3184, 1612, 1581, 1434, 1472, 1376, 1337, 1285, 1211. ((3aR,4R,6R,6aR)-6-(6-amino-8-(methylamino)-9H-purin-9-yl)-2,2-dimethyltetrahydrofuro[3,4-d][1,3]dioxol-4-yl)methanol (65 mg, 0.19 mmol) was dissolved
in DMF (1.9 mL). 4-(Fluorosulfonyl)benzoic acid (47 mg, 0.23 mmol),
triethylamine (39 mg, 0.39 mmol), and HBTU (88 mg, 0.23 mmol) were
added, and the reaction was stirred at room temperature for 5 h. The
solvent was then removed under reduced pressure to give an orange
oil that was taken up in EtOAc (20 mL), washed with sat. aq. NaHCO3 (2 × 20 mL) and sat. NaCl (2 × 20 mL), and dried
over MgSO4. The solvent was removed under reduced pressure,
and the crude product was purified by silica gel chromatography with
the Biotage SP1 purification system (EtOAc/EtOH 100:0 to 60:40) to
give ((3aR,4R,6R,6aR)-6-(6-amino-8-(methylamino)-9H-purin-9-yl)-2,2-dimethyltetrahydrofuro[3,4-d][1,3]dioxol-4-yl)methyl
4-(fluorosulfonyl)benzoate as an orange oil (70% pure by LCMS) that
was used without further purification; tR (LCMS) = 1.32 min. ((3aR,4R,6R,6aR)-6-(6-amino-8-(methylamino)-9H-purin-9-yl)-2,2-dimethyltetrahydrofuro[3,4-d][1,3]dioxol-4-yl)methyl 4-(fluorosulfonyl)benzoate was dissolved
in a 5:2 mixture of TFA/H2O (1.4 mL) and stirred at room
temperature for 1 h. The solvent was then removed under reduced pressure
to give the crude product, which was purified by reverse-phase C18
chromatography with the Biotage SP1 purification system (water/MeCN
+ 1% formic acid, 90:10 to 40:60) to give the title compound 17 as an orange oil (11 mg, 40%); 1H NMR (600 MHz,
MeOD) δH 8.07 (app. s, 4H), 7.85 (s, 1H), 5.70 (d, J = 3.4 Hz, 1H), 5.38 (dd, J = 5.4, 3.4 Hz, 1H),
4.86–4.83 (obs. m, 1H), 4.80 (dd, J = 12.2,
3.1 Hz, 1H), 4.53 (dd, J = 12.2, 4.0 Hz, 1H), 4.29
(app. dt, J = 6.7, 3.5 Hz, 1H), 2.66 (s, 3H); 13C NMR (151 MHz, MeOD) δC 165.46, 154.87, 153.26, 150.78,
150.18, 137.49, 131.71, 129.62, 90.04, 82.91, 72.77, 71.45, 65.03,
40.43, 29.60; 19F NMR (471 MHz, MeOD) δF 63.73; tR (LCMS) = 1.07 min.
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