Proteolysis targeting chimeras (PROTACs) induce intracellular degradation of target proteins. Their bifunctional structure puts degraders in a chemical space where ADME properties often complicate drug discovery. Herein we provide the first structural insight into PROTAC cell permeability obtained by NMR studies of a VHL-based PROTAC (1), which is cell permeable despite having a high molecular weight and polarity and a large number of rotatable bonds. We found that 1 populates elongated and polar conformations in solutions that mimic extra- and intracellular compartments. Conformations were folded and had a smaller polar surface area in chloroform, mimicking a cell membrane interior. Formation of intramolecular and nonclassical hydrogen bonds, π-π interactions, and shielding of amide groups from solvent all facilitate cell permeability by minimization of size and polarity. We conclude that molecular chameleonicity appears to be of major importance for 1 to enter into target cells.
Proteolysis targeting chimeras (PROTACs) induce intracellular degradation of target proteins. Their bifunctional structure puts degraders in a chemical space where ADME properties often complicate drug discovery. Herein we provide the first structural insight into PROTAC cell permeability obtained by NMR studies of a VHL-based PROTAC (1), which is cell permeable despite having a high molecular weight and polarity and a large number of rotatable bonds. We found that 1 populates elongated and polar conformations in solutions that mimic extra- and intracellular compartments. Conformations were folded and had a smaller polar surface area in chloroform, mimicking a cell membrane interior. Formation of intramolecular and nonclassical hydrogen bonds, π-π interactions, and shielding of amide groups from solvent all facilitate cell permeability by minimization of size and polarity. We conclude that molecular chameleonicity appears to be of major importance for 1 to enter into target cells.
Targeted protein degradation
is a new concept in drug discovery which is of particular interest
for intracellular targets that are difficult to modulate with small
molecule drugs.[1,2] This concept is based on proteolysis
targeting chimeras (PROTACs), a chemical modality consisting of a
ligand that binds to the target protein, a linker, and an E3 ubiquitin
ligase ligand. PROTAC induced formation of a ternary complex with
the target protein and the E3 ubiquitin leads to ubiquitination and
subsequent degradation of the target protein. As a result of this
mode of action PROTACs are catalytic.[3]Structural information on the ternary complexes between target
proteins, PROTACs, and E3 ubiquitin ligases is now beginning to allow
rational, structure-based design of PROTACs.[4] Design of PROTACs also requires knowledge about how their structures
influence their ADME properties, with cell permeability being required
for their mode of action. A few recent studies have begun to provide
some, albeit sometimes conflicting, insight into how the ADME properties
of PROTACs could be optimized. For instance, a study of a small set
of seven PROTACs found that their permeabilities across Caco-2 cell
monolayers correlated to chromatographically determined descriptors
of lipophilicity and polarity.[5] Another
study of 11 PROTACs highlighted how the combined use of the parallel
artificial membrane permeability assay (PAMPA) and lipophilic permeability
efficiency (LPE) can be used to provide insight into PROTAC cell permeability.[6] This study also suggested that AlogP should be
kept below 5 to increase the likelihood for PROTACs to be cell permeable.
However, other studies found no correlations between cell permeability
and chromatographic lipophilicity or PAMPA permeabilities,[7,8] pointing to the need for increased understanding of how in vitro
assays may be used for optimization of the ADME properties of PROTACs.[8]PROTACs reside in the chemical space close
to, or beyond,[9,10] the outer limits for oral absorption
deduced from analysis of drugs,
clinical candidates, and optimized leads in the beyond rule of 5 chemical
space.[11,12] For instance, the molecular weights of PROTACs
typically range from 900 to 1100 Da, while their number of rotatable
bonds falls between 20 and 25.[9,10] This puts PROTACs at
pharmacokinetic risk, where low oral absorption and/or cell permeability
may prevent them from reaching their intracellular targets. Currently,
efforts to improve these potential shortcomings are hampered by the
lack of understanding of PROTAC structure–property relationships,
for instance regarding how they cross cell membranes.For the
first time, we provide structural and property based insight
into how PROTACs may permeate cell membranes by behaving as molecular
chameleons. We used NMR spectroscopy to determine the conformational
ensembles of PROTAC 1 (Figure A) in solutions having different polarity
and hydrogen bonding properties. Chloroform was chosen to mimic the
interior of a cell membrane as it has a dielectric constant (ε
= 4.8) close to that of a lipid bilayer (ε = 3.0).[13] As PROTAC 1 has low aqueous solubility
(Table ), DMSO alone
and in a 10:1 mixture with water was used to resemble the aqueous
extra- and intracellular environments.
Figure 1
(A) Structure of PROTAC 1. The ligand for the protein
target of interest (POI), ERK5, the linker, and the ligand for binding
to the E3 ligase (VHL) are indicated by gray, green, and pink shading,
respectively. (B) Molecular weight (MW, Da), lipophilicity (cLogP),
hydrogen bond acceptors and donors (HBA and HBD), topological polar
surface area (TPSA, Å2), and number of rotatable bonds
(NRotB) calculated for PROTAC 1 and the subset of 135
VHL PROTACs that have PEG-based linkers reported by Maple et al.[10] The values of the six descriptors calculated
for 1 are shown as yellow circles (MW = 1034 Da, cLogP
= 3.55, HBA = 14, HBD = 4, TPSA = 237 Å2, NRotB =
27). Box plots show the 50th percentiles as horizontal bars, the 25th
and 75th percentiles as boxes, the 25th percentile minus 1.5×
the interquartile range, and the 75th percentile plus 1.5× the
interquartile range as whiskers for the subset of PROTACs having PEG-based
linkers. Outliers are shown both as red dots and as circles in the
color of the appropriate descriptor.
Table 1
Physicochemical Properties and in
Vitro Potencies of 1
property
in vitro potency
solubility (PBS, pH 6.5, mg/L)
7.0
ERK5 IC50, biochemical
(μM)
1.23
logD (pH 7.5)
2.68
VHL IC50, biochemical (μM)
0.307
PAMPA (−logPe, cm/s)
5.85
VHL IC50, cellular (μM)
4.31
VHL cell/biochem.
ratio
14
(A) Structure of PROTAC 1. The ligand for the protein
target of interest (POI), ERK5, the linker, and the ligand for binding
to the E3 ligase (VHL) are indicated by gray, green, and pink shading,
respectively. (B) Molecular weight (MW, Da), lipophilicity (cLogP),
hydrogen bond acceptors and donors (HBA and HBD), topological polar
surface area (TPSA, Å2), and number of rotatable bonds
(NRotB) calculated for PROTAC 1 and the subset of 135
VHL PROTACs that have PEG-based linkers reported by Maple et al.[10] The values of the six descriptors calculated
for 1 are shown as yellow circles (MW = 1034 Da, cLogP
= 3.55, HBA = 14, HBD = 4, TPSA = 237 Å2, NRotB =
27). Box plots show the 50th percentiles as horizontal bars, the 25th
and 75th percentiles as boxes, the 25th percentile minus 1.5×
the interquartile range, and the 75th percentile plus 1.5× the
interquartile range as whiskers for the subset of PROTACs having PEG-based
linkers. Outliers are shown both as red dots and as circles in the
color of the appropriate descriptor.PROTAC 1 targets the extracellular signal-regulated
kinase 5 (ERK5),[14] a potential cancer target,
by recruitment of the Von Hippel–Lindau (VHL) tumor suppressor
E3 ligase. Thus, the E3 ligase ligand of 1 belongs to
one of the two ligand classes that are used in the majority of PROTACs,
with the other class being based on cereblon (CRBN) E3 ligase ligands.[9,10] Maple et al. recently reported a set of 217 VHL PROTACs,[10] the majority of which have flexible linkers
that can be classified as either aliphatic (alkyl, n = 63) or based on ethylene glycol (PEG, n = 135).
A third, smaller subset has rigid linkers (n = 19)
based on alkynes combined with piperidine, pyridine, and/or piperazine
moieties. Comparison of the descriptors of Lipinski’s[15] and Veber’s[16] rules calculated for 1 to those of the subset of PEG-based
PROTACs revealed 1 to be a good representative of this
subset (Figure B).
All six descriptors for 1 fall within the 25th to 75th
percentile of the corresponding descriptor for the subset. The subsets
that have alkyl or rigid linkers differ from the PEG subset by having
a higher calculated lipophilicity (cLogP), a lower topological polar
surface area (TPSA) and fewer hydrogen bond acceptors (HBA) (Figure S3). As expected, the rigid PROTAC subset
has a lower number of rotatable bonds (NRotB) than the two other subsets.
It is notable that two or more of the hydrogen bond donors (HBDs)
in most VHL PROTACs originate from amide bonds; a feature found to
be particularly detrimental for the Caco-2 cell permeability of a
collection of macrocycles residing in beyond rule of 5 chemical space.[17]PROTAC 1 was synthesized
from phenol 2(14) by alkylation
with ethyl bromoacetate
followed by saponification of the ethyl ester to give carboxylic acid 3 (Scheme ). Acid 3 was then coupled with amine 4(18) using HATU as the promoter to give 1 after purification by reversed phase HPLC. Similar to many
PROTACs, the aqueous solubility of 1 is low,[8] whereas its lipophilicity is in the drug-like
range and the permeability in the PAMPA assay is medium to high (Table ). PROTAC 1 binds to its target protein, ERK5,[14] and
to the VHL E3 ligase in biochemical assays with IC50 values
just above and below 1 μM, respectively (Table ). The VHL potency drops off 14-fold in a
cell-based assay, revealing 1 to have a medium permeability
into target cells. Despite residing in chemical space far beyond the
rule of 5[15] and Veber’s rule,[16] where cell permeability is expected to be low,
PROTAC 1 surprisingly displays medium to high permeability.
We therefore considered 1 to be of great interest for
investigating how structural and conformational properties, such as
molecular chameleonicity, may enable PROTACs to be cell permeable.
Scheme 1
Synthesis of PROTAC 1
Reagents and conditions:
(a)
Ethyl bromoacetate, K2CO3, THF, 100 °C,
8 h; (b) aq. NaOH, EtOH, rt, overnight, 38% from 2; (c)
HATU, N,N-diisopropylethylamine,
DMF, rt, overnight, 48%.
Synthesis of PROTAC 1
Reagents and conditions:
(a)
Ethyl bromoacetate, K2CO3, THF, 100 °C,
8 h; (b) aq. NaOH, EtOH, rt, overnight, 38% from 2; (c)
HATU, N,N-diisopropylethylamine,
DMF, rt, overnight, 48%.The solution conformational
ensembles of 1 were determined
by deconvolution of time-averaged NMR data into individual conformations
using the NMR analysis of molecular flexibility in solution (NAMFIS)
algorithm.[19] NAMFIS has previously been
used to determine the solution conformations of both flexible, linear
compounds and of macrocycles having different flexibility.[20−25] Proton–proton distances obtained from nuclear Overhauser
effect (NOE) build-up measurements and dihedral angles calculated
from vicinal scalar couplings are used as experimental input to NAMFIS.
This data was generated from NMR spectra recorded for 1 in CDCl3, DMSO-d6, and DMSO-d6–D2O (ratio of 10:1) at room
temperature (Figure ). Theoretical conformational ensembles that provide a comprehensive
coverage of conformational space are also required as input to NAMFIS.
The required ensembles were generated by unrestrained Monte Carlo
conformational searches using a variety of force fields and implicit
solvent models within a 42 kJ/mol energy window.[20] Based on these inputs, the NAMFIS algorithm varies the
probability of each conformer in the theoretical ensembles to find
the best fit of the probability weighted, back-calculated distances
and dihedral angles to the corresponding experimental values determined
for 1. The three conformational ensembles were validated
as described earlier,[20] i.e., by the addition
of random noise to the experimental data, by the random removal of
individual experimental restraints, and by comparison of the experimentally
observed and back-calculated distances and scalar coupling constants.
Figure 2
Overview
of experimentally determined proton–proton distances
and dihedral angles that were used to determine the solution conformational
ensembles of 1. Blue arrows indicate proton–proton
distances, while dihedral angles are indicated by red arrows.
Overview
of experimentally determined proton–proton distances
and dihedral angles that were used to determine the solution conformational
ensembles of 1. Blue arrows indicate proton–proton
distances, while dihedral angles are indicated by red arrows.Just as most of the reported VHL-based PROTACs,[9,10]1 has a large number of rotatable bonds (NRotB = 27, Figure B) indicating a high
flexibility. In spite of the potentially high flexibility, inspection
of the proton–proton distances and dihedral angles revealed
that the two domains of 1 were well constrained in all
three solvents (Figure ). Both the conformation of the VHL ligand domain and of the region
linking the ERK5 binding protein of interest (POI) ligand to the first
part of the flexible linker were constrained by multiple proton–proton
distances and dihedral angles. In addition, a few long-range NOEs
were observed for 1 in each of the three solvents between
protons located in the POI and VHL ligands, or in either of the two
ligands and a distant part of the linker. The distances that originated
from these long-range NOEs indicated that folded conformations were
found in the ensembles, which brought protons distant from each other
in the structure of 1 into close spatial contact. To
ensure that the long-range NOEs did not enforce distorted conformations
of the POI-linker and VHL ligand domains, the ensembles obtained by
NAMFIS analyses using all experimental restraints were validated against
ensembles using restraints only from the two well-defined domains
of 1, in addition to the standard validation described
above.The NAMFIS analysis revealed that each of the three solution
ensembles
of 1 consisted of a limited number of conformations,
ranging from 6 to 10 in each of the three solutions (Table S10). The conformations in the DMSO and DMSO–water
ensembles were structurally more diverse than those in chloroform
(Table S12). In the two polar solutions,
the maximum pairwise RMSD values between the most different conformations
were 8.9 and 8.4 Å, while it was 6.6 Å in chloroform. No
single (congruent) conformation was adopted in two solutions; the
most similar conformations were number 2 (chloroform) and number 13
(DMSO) that had a pairwise RMSD value of 3.2 Å. Four or five
major conformations represented approximately 70–80% of each
ensemble (a major conformation was defined as having a population
≥10%). In chloroform, PROTAC 1 adopted highly
folded conformations. In three of the four major conformations, the
backbone of 1 made two turns, while the remaining major
conformation had one turn (Figure ). The four minor conformations in chloroform were
all folded with two turns (Figure S2).
In the polar solvents, more elongated conformations were observed,
with two of the major ones in DMSO being linear and one being folded
with one turn. In the DMSO–water solution, one linear conformation
and three folded conformations with one turn were found. The minor
conformations in the two polar solutions were also more elongated
than those in chloroform (Figure S2).
Figure 3
Structures
of the major conformations (population ≥ 10%)
in the ensembles adopted by 1 in chloroform, DMSO, and
DMSO–water (10:1). Conformations that are predominantly linear
are in green, those that are folded with one turn are in tan, while
folded conformations with two turns are in gray. The number and population
in percent is given below each conformation. Intramolecular hydrogen
bonds are indicated with black dotted lines on a yellow background.
Structures
of the major conformations (population ≥ 10%)
in the ensembles adopted by 1 in chloroform, DMSO, and
DMSO–water (10:1). Conformations that are predominantly linear
are in green, those that are folded with one turn are in tan, while
folded conformations with two turns are in gray. The number and population
in percent is given below each conformation. Intramolecular hydrogen
bonds are indicated with black dotted lines on a yellow background.Passive cell permeability occurs via desolvation
of the compound
as it leaves the extracellular aqueous environment, followed by interactions
with the negatively charged phospholipid head groups and subsequent
passage across the hydrophobic membrane interior. The polarity and
the size of the compound, when adopting the permeating conformation(s),
are the key properties that determine the kinetics of the desolvation
step and the diffusion across the membrane.[26] The compound’s polarity is well described by its solvent
accessible 3D polar surface area (SA 3D PSA) while its size is approximated
by the radius of gyration (Rgyr). The Rgyr is calculated as the root-mean-square distance
between the atoms of compound and its center of mass,[27] and we calculated the SA 3D PSA of 1 based
on its polar atoms (O, N, and attached H) as well as on additional
partial charges as recently reported.[20]With the exception of one conformation (no. 4, 10%), the conformations
adopted by PROTAC 1 in chloroform had a Rgyr in the interval of 5.4–6.2 Å, i.e., at
the very low end of the range (5.2–9.7 Å) displayed by
all conformations in the three solutions (Figure A and B, Table S11). The conformations in DMSO spanned a wider size (Rgyr) range than that in chloroform, whereas the size range
in DMSO–water was closer to that in chloroform (Figure B). As revealed by the population
weighted mean values for Rgyr, conformations
were less compact in DMSO and DMSO–water than in chloroform.
The SA 3D PSA of six of the conformations which represent 87% of the
ensemble in chloroform were ≤207 Å2, i.e.,
in the lower third of the range of all 24 conformations (172–259
Å2). The ensembles in the three solutions populated
similar ranges for SA 3D PSA, but the ensembles in DMSO and DMSO–water
were shifted toward higher polarity. Population weighted mean values
for SA 3D PSA increased significantly, i.e., by just over 35 Å2, between the ensembles adopted in chloroform and DMSO–water,
with the ensemble in DMSO having an intermediate value (Figure C).
Figure 4
(A) Radius of gyration
(Rgyr) versus
solvent accessible 3D polar surface area (SA 3D PSA) for all solution
conformations populated by 1. The area of each circle
is proportional to the population of the corresponding conformation
(in %). Conformations in CDCl3 are in green, those in DMSO-d6 are in yellow, while those in DMSO-d6–D2O are in cyan. (B) Radius
of gyration (Rgyr) and (C) solvent accessible
3D polar surface area (SA 3D PSA) for the conformations populated
by 1 in CDCl3, DMSO-d6, and DMSO-d6–D2O. Box plots show the 50th percentiles as black horizontal bars,
the 25th and 75th percentiles as boxes, the 25th percentile minus
1.5× the interquartile range, and the 75th percentile plus 1.5×
the interquartile range as whiskers, and outliers as colored circles.
Population weighted mean values are shown as blue horizontal bars.
(A) Radius of gyration
(Rgyr) versus
solvent accessible 3D polar surface area (SA 3D PSA) for all solution
conformations populated by 1. The area of each circle
is proportional to the population of the corresponding conformation
(in %). Conformations in CDCl3 are in green, those in DMSO-d6 are in yellow, while those in DMSO-d6–D2O are in cyan. (B) Radius
of gyration (Rgyr) and (C) solvent accessible
3D polar surface area (SA 3D PSA) for the conformations populated
by 1 in CDCl3, DMSO-d6, and DMSO-d6–D2O. Box plots show the 50th percentiles as black horizontal bars,
the 25th and 75th percentiles as boxes, the 25th percentile minus
1.5× the interquartile range, and the 75th percentile plus 1.5×
the interquartile range as whiskers, and outliers as colored circles.
Population weighted mean values are shown as blue horizontal bars.The solution conformations of 1 show
a weak correlation
between their Rgyr and SA 3D PSA (Figure A) and also a weak
inverse correlation between the number of intramolecular hydrogen
bonds (IMHBs) and the SA 3D PSA (Figure S4). Thus, compact conformations (low Rgyr) tend to have a lower SA 3D PSA and more IMHBs, all of which contribute
to a higher permeability than if less compact and more polar conformations
were adopted. Importantly, all but one of the conformations in chloroform,
i.e., 90% of the ensemble, have a Rgyr below 7 Å, the proposed upper cutoff for passive cell permeability
of compounds in bRo5 space.[26] Similarly,
the majority (87%) of the ensemble in chloroform has a SA 3D PSA in
the range were cell permeability may be low-moderate (up to 200–210
Å2), as indicated by a recent study.[20] In contrast, conformations in DMSO and DMSO–water
were significantly larger, and those in DMSO–water were also
more polar. We therefore conclude that most conformations populated
in chloroform have values for Rgyr and
SA 3D PSA that should allow 1 to permeate cells and that
folded conformations having two turns such as conformations 1–3
are likely be the permeating species.Inspection of the proposed
permeating conformations 1–3
provided detailed insight into what intramolecular interactions allow
an environment dependent reduction of size and polarity for 1 (Figure ). In conformation 1, PROTAC 1 forms an IMHB between
the hydroxyl group of hydroxyproline and the tertiary amide of the
ERK5 ligand. The NH of two of the secondary amide bonds of 1 point toward the center of the folded conformation, thereby shielding
them from the surrounding apolar environment, while the third amide
NH may be partially shielded by the pyrimidine ring. In addition to
the IMHB, a π–π interaction between the pyrimidine
and thiazole rings may contribute to minimizing the Rgyr of 1 in this conformation. Two IMHBs,
which involve the NH of two of the three secondary amides of 1, are formed in conformation 2 that has a low Rgyr and a very low SA 3D PSA. The third amide NH is partially
shielded from the surrounding as it points to the center of the conformation.
In addition, the hydroxyl group of the hydroxyproline moiety of 1 is shielded from solvent by the pyrimidine of the ERK5 ligand,
potentially by formation of a nonclassical hydrogen bond to the pyrimidine.
The SA 3D PSA of conformation 3 is reduced by IMHBs that involve the
NH of two of the three secondary amides of 1 and by shielding
of the remaining amide NH by the adjacent tert-butyl
group. In this case, a π–π interaction between
the pyrimidine ring and phenyl ring in the VHL domain could contribute
to keeping the Rgyr of conformation 3
low, similar to the π–π interaction of conformation
1. In summary, inspection of conformations 1–3 reveal that
the SA 3D PSA of PROTAC 1 can be reduced in an apolar
environment by the formation of IMHBs, shielding of amide NH groups
from solvent and by formation of nonclassical hydrogen bonds. In addition
to these intramolecular interactions, π–π interactions
appear to contribute to minimization of Rgyr. We suggest that the ability to adopt folded conformations stabilized
by similar intramolecular interactions that minimize Rgyr and SA 3D PSA is likely to be required also for other
VHL PROTACs that have flexible PEG-based linkers to enter cells and
induce target degradation.
Figure 5
Structures of conformations 1–3 that
are populated in chloroform.
The population in percent, the number of intramolecular hydrogen bonds
(IMHB), the solvent accessible 3D PSA and the radius of gyration (Rgyr) are given below each conformation. IMHBs
are indicated with dashed black lines on a yellow background.
Structures of conformations 1–3 that
are populated in chloroform.
The population in percent, the number of intramolecular hydrogen bonds
(IMHB), the solvent accessible 3D PSA and the radius of gyration (Rgyr) are given below each conformation. IMHBs
are indicated with dashed black lines on a yellow background.Recent studies of drugs beyond the rule of 5 space,[11,28] most of which are semirigid macrocycles, have revealed that they
benefit from behaving as molecular chameleons in order to display
high aqueous solubility and cell permeability.[20,29,30] This study is the first to show that the
more flexible PROTACs also can behave as molecular chameleons and
that this property is important for their cell permeability. By using
a validated NMR technique, we found that the VHL based PROTAC 1 adopts its shape, i.e., its radius of gyration (Rgyr) and its solvent accessible 3D polar surface
area (SA 3D PSA) to the surrounding environment. Compound 1 populated conformations that were more elongated and polar in environments
used as mimics of polar extra- and intracellular compartments. In
contrast, most conformations were folded with a low Rgyr and a low SA 3D PSA in chloroform, which has a polarity
close to that of the center of a cell membrane. Importantly, the folded
conformations adopted in chloroform had values for Rgyr and SA 3D PSA compatible with satisfactory passive
cell permeability,[20,26] even though properties such as
MW, TPSA, and the number of rotatable bonds place 1 into
chemical space far beyond the rule of 5. As the calculated properties
of 1 are representative for reported VHL based PROTACs
that have flexible, PEG-based linkers, chameleonicity may also be
of general importance for the cell permeability of this type of PROTACs.
However, this hypothesis needs to be confirmed by studies of additional
PROTACs. Design of cell permeable PROTACs could capitalize on recent
learnings from other drug candidates, where intramolecular hydrogen
bonds[31] and shielding of amide bonds[32] have been used to improve cell permeability.
Design should also benefit from wider analyses of larger PROTAC sets
by QSPR and machine learning, just as from methods that allow more
accurate sampling of biologically relevant conformational space for
this emerging class of drugs.
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