Proteolysis targeting chimeras (PROTACs) are catalytic heterobifunctional molecules that can selectively degrade a protein of interest by recruiting a ubiquitin E3 ligase to the target, leading to its ubiquitylation and degradation by the proteasome. Most degraders lie outside the chemical space associated with most membrane-permeable drugs. Although many PROTACs have been described with potent activity in cells, our understanding of the relationship between structure and permeability in these compounds remains limited. Here, we describe a label-free method for assessing the permeability of several VH032-based PROTACs and their components by combining a parallel artificial membrane permeability assay (PAMPA) and a lipophilic permeability efficiency (LPE) metric. Our results show that the combination of these two cell-free membrane permeability assays provides new insight into PROTAC structure-permeability relationships and offers a conceptual framework for predicting the physicochemical properties of PROTACs in order to better inform the design of more permeable and more effective degraders.
Proteolysis targeting chimeras (PROTACs) are catalytic heterobifunctional molecules that can selectively degrade a protein of interest by recruiting a ubiquitin E3 ligase to the target, leading to its ubiquitylation and degradation by the proteasome. Most degraders lie outside the chemical space associated with most membrane-permeable drugs. Although many PROTACs have been described with potent activity in cells, our understanding of the relationship between structure and permeability in these compounds remains limited. Here, we describe a label-free method for assessing the permeability of several VH032-based PROTACs and their components by combining a parallel artificial membrane permeability assay (PAMPA) and a lipophilic permeability efficiency (LPE) metric. Our results show that the combination of these two cell-free membrane permeability assays provides new insight into PROTAC structure-permeability relationships and offers a conceptual framework for predicting the physicochemical properties of PROTACs in order to better inform the design of more permeable and more effective degraders.
Proteolysis
targeting chimeras
(PROTACs) enhance our ability to drug biologically relevant targets
through selective degradation.[1−3] These heterobifunctional compounds
include an E3 ligase-binding ligand and a protein-targeting ligand
connected by a linker. PROTACs facilitate proteasomal degradation
by recruiting the target protein to an E3 ligase, leading to ubiquitylation
and subsequent degradation of the targeted protein.[4−6] Unlike traditional inhibitors, PROTACs are catalytic and have increased
target-specificity derived largely from ternary complex protein–protein
contacts.[7−9] While our understanding of the bioactivity of PROTACs
is rapidly increasing, the physicochemical properties of these molecules
have received relatively little attention.[10,11]Due to the interest in PROTAC therapeutics, there is a clear
need
to better understand their physicochemical properties. Given their
high molecular weight (MW > 800) and the presence of multiple hydrogen
bond donors (HBDs) and acceptors (HBAs), PROTACs are expected to have
low membrane permeability.[12−15] A recent study that used the label-based chloroalkane
penetration assay (CAPA)[16] showed very
low permeabilities for PROTACs relative to their individual components.[17] While this assay provides relative cell permeabilities
across a large dynamic range, it does not provide permeability coefficients
that can be compared to other data sets. Also, CAPA requires a chloroalkane
tag and therefore does not directly measure the permeability of the
parent compound. Establishing a label-free method to quantify the
permeability of PROTACs provides greater flexibility in compound design
without needing to synthesize a second set of CAPA tag-containing
molecules. While there are some mass spectrometry approaches to quantify
the intracellular concentration of unlabeled compounds, these indirect
studies do not inform on oral bioavailability and some do not differentiate
between membrane-trapped compounds and those free for target binding.[17−20] The VHL-NanoLuc Fusion assay[21] offers
label-free assessment of cell permeability, but results are confounded
by their dependence on variable VHL-binding affinities. Here we report
a label-free approach for studying the passive permeability of von
Hippel–Lindau (VHL)-based PROTAC molecules using the parallel
artificial membrane permeability assay (PAMPA) and lipophilic permeability
efficiency (LPE).[22] These simple, high-throughput
assays correlate strongly with cell-based permeabilities and oral
bioavailability while being relatively inexpensive.[23] PAMPA quantifies orders-of-magnitude differences in PROTAC
permeabilities with a low limit of quantitation. LPE provides insight
as to how structural changes affect permeability.We tested
the membrane permeabilities of JQ-1 (1),
four model compounds (SL-X series) (3–6), and 11 previously published VHL-PROTACs.[24,25] These PROTACs include four series: MZ (7–9),[6,7,26] AT (15–17),[7] CM/CMP
(12–14),[27] and MZP (10–11),[26] grouped according to the target-binding ligand and attachment
to the VHL-recruiting ligand (Figures and 5). Most previously published
PROTACs have MWs ranging from 900 to 1200 and between four and six
HBDs. Based on traditional criteria of drug-likeness, these compounds
are expected to have low membrane permeability. This is indeed what
we found. The highest PAMPA permeability measured for this set was
P = 0.6 × 10–6 cm/s, slightly below the standard for “modest” permeability
(P = 1 × 10–6 cm/s).
Notably, we were able to quantify permeabilities for all our compounds
with coefficients as low as 0.002 × 10–6 cm/s.
From our initial set of amide-containing compounds, the most permeable
compound was 4 (P = 8.6
× 10–6 cm/s, Figure ), an N-terminally capped VH032 analog with
a phenylacetamide acting as a simple protein-targeting model. Compound 4 was 43-fold more permeable than a similar compound, 6, with a 3-unit PEG linker between the VH032 and the phenylacetamide.
Strikingly, 4 was 4000-fold more permeable than the two
least permeable compounds, 17 and 14 (Figures and 5, respectively). Furthermore,
among all 11 PROTACs tested, there was a 300-fold difference between
the most permeable compound, 7, and the least permeable
compounds, 14 and 17. In the MZ series alone
(7–9, Figure ), there was a 100-fold difference between
the most (7, P = 0.6 ×
10–6 cm/s) and least (9, P = 0.006 × 10–6 cm/s) permeable
derivatives. Combined, these data demonstrate the large dynamic range
of PAMPA and support its use for unlabeled, quantitative measurements.
Figure 1
Physicochemical
properties of protein-targeting small molecules
and model compounds. Cmpd = compound; PAMPA units: × 10–6 cm/s; LogD(dec/w): 1,9-decadiene and PBS pH 7.4 shake
flask partition coefficient; LPE = LogD(dec/w) –
1.06(ALogP) + 5.47; “--” = not determined.
Physicochemical
properties of protein-targeting small molecules
and model compounds. Cmpd = compound; PAMPA units: × 10–6 cm/s; LogD(dec/w): 1,9-decadiene and PBS pH 7.4 shake
flask partition coefficient; LPE = LogD(dec/w) –
1.06(ALogP) + 5.47; “--” = not determined.Physicochemical properties of “AT” and “MZ”
PROTACs. Cmpd = compound; PAMPA units: × 10–6 cm/s; LogD(dec/w): 1,9-decadiene and PBS pH 7.4 shake
flask partition coefficient; LPE = LogD(dec/w) –
1.06(ALogP) + 5.47.MW and solvent-exposed
HBDs can significantly affect membrane permeability.[12] Permeability generally decreases as MW increases,[28] leading to a significant reduction in permeability
beyond MW = 1000.[13,29] All else being equal, the relatively
high MWs (900–1200 Da) of the PROTACs represent a predicted
size-dependent permeability cost of approximately one log unit compared
to typical small molecules of the same lipophilicity (MW < 600).[13,22] However, because the PROTACs in this study are all in a similar
MW range, comparisons between them reflect differences in their physical
properties separate from the size penalty. Recent reviews argue that
MW effects should not be considered alone because factors like hydrophobicity
and HBDs affect permeability more prominently than MW.[30,31] Supporting this conclusion, our two least permeable PROTACs, 14 and 17, had the highest and lowest MWs, respectively.
Furthermore, 16 and 8 have nearly the same
MW (1005 and 1003, respectively), the same calculated octanol–water
partition coefficients (ALogP), and the same number of HBDs and HBAs,
yet their permeabilities differ by 10-fold (Figure ). Likewise, 15 and 7 are similar in terms of MW, ALogP, and HBAs/HBDs, but 7 is 120-fold more permeable than 15 (Figure ). As expected, the compounds
that had lower MW and fewer HBDs/HBAs, including 1, 3, and 4, were significantly
more permeable (P ≥ 5 × 10–6 cm/s, Figure ) than the PROTACs.Permeability data alone provide
little information on how structural
features affect permeability. Therefore, we measured lipophilic permeability
efficiency (LPE).[22] Originated by our group,
LPE quantifies the efficiency with which a compound achieves passive
membrane permeability at a given lipophilicity based on the experimental
hydrocarbon–water partition coefficient (LogD(dec/w)) and ALogP. Combining PAMPA and LPE represents a powerful method
for assessing how structural features contribute to compound permeability.This is most evident when comparing the two matched pairs from
the AT and MZ series: 15 vs 7 and 16 vs 8. These compounds have the same ALogP,
the same number of HBDs/HBAs, and MWs within 2 Da. Yet, the MZ compounds, 7 and 8, are significantly more permeable than
their counterparts from the AT series, 15 and 16, respectively. These AT and MZ compounds differ only in the connection
between their linker and VH032 ligand. In 7 and 8, the VH032 ligand has an N-terminal tert-Leu connected to a linker through an amide bond. Alternatively, 15 and 16 have a penicillamine group in place
of the tert-Leu which is attached to the linker through
a thioether in place of the amide bond (Figure ).Clearly, the chemical environment
surrounding HBDs affects the
PAMPA permeability of these PROTACs, similar to the effects observed
in other compounds in this MW range.[32,33] The LPE values
of these compounds provide insight into the potential for these flexible
molecules to adopt conformations capable of shielding HBDs. Typically,
the addition of a solvent-exposed HBD reduces LPE by 1.8.[22] The tert-Leu-containing 7 has an LPE of 0.4, and its penicillamine counterpart, 15, has an LPE of −2.3, suggesting that 15 has at least one additional exposed HBD compared to 7. The same pattern is seen with 8 and 16 that have LPE values of 0.1 and −2.6, respectively. These
LPE data show that switching the tert-Leu for a penicillamine
group exposes an -NH to solvent which likely contributes to the lower
permeability of these AT compounds.The crystal structure of 8 in a ternary complex with
VHL and Brd4 further supports the presence of a shielded -NH in the
MZ compound series.[7] Inspection of this
structure shows that the tert-Leu amide -NH of 8 is in a position to be shielded from solvent by the tert-Leu side chain and is within a short contact distance
to the PEG oxygen, likely participating in an intramolecular hydrogen
bond (IMHB) capable of shielding the -NH polarity from solvent (Figure ). Co-crystal structures
of binary complexes of VHL with bound ligands provide additional evidence
for this phenomenon showing an oxygen (in a similar position to the
PEG ether in 8) that points in toward the tert-Leu-NH, potentially close enough to form an IMHB.[34] While the membrane permeating conformation is not necessarily
the same as the target-bound conformation, these crystal structures
provide a possible explanation for the difference in solvent-exposed
HBDs between the MZ and AT compounds.
Figure 3
MZ1 ternary complex with VHL and Brd4
(PDB:5T35).[7] Crystal structure showing
the ternary complex of MZ1 (colored
by element) with Brd4 (pink) and VHL (orange). The VHL ligand tert-Leu -NH (blue arrow) is shielded by the tert-Leu side chain and is within hydrogen bonding distance of the VHL
ligand PEG oxygen (red arrow).
MZ1 ternary complex with VHL and Brd4
(PDB:5T35).[7] Crystal structure showing
the ternary complex of MZ1 (colored
by element) with Brd4 (pink) and VHL (orange). The VHL ligand tert-Leu -NH (blue arrow) is shielded by the tert-Leu side chain and is within hydrogen bonding distance of the VHL
ligand PEG oxygen (red arrow).This relationship between the MZ and AT compounds supports reducing
the number of exposed HBDs to increase permeability. The extensive
structural information on VHL ligand cocrystal structures has shown
that the tert-Leu amide does not form a direct hydrogen
bond with the VHL protein.[24,25,34] Hence, we hypothesized that removing an HBD by substituting an amide
for an ester would lead to increased permeability, without detrimentally
comprising VHL binding affinity. To test this, we synthesized 3 and 5, ester derivatives of 4 and 6, respectively, in which the N-terminal tert-Leu amide was replaced by an ester (Figure ). As predicted, the ester derivatives were
more permeable than their amide counterparts. Compound 3 was 2-fold more permeable than 4, and 5 was 1.5-fold more permeable than 6. Thus, the amide-to-ester
substitution provides a viable option to increase the permeability
of these types of compounds, though with the caveat of the ester’s
potential susceptibility to intracellular esterase hydrolysis.The LPE of the amide compounds (4 and 6) is nearly the same as the LPE of their ester compound counterparts
(3 and 5, respectively), suggesting that
the tert-Leu is likely shielding the polarity of
the HBD in the amide-containing compounds as has been observed with
beta-branched amino acids.[32,33] The relatively modest
increase in permeability observed with these amide-to-ester substitutions
reflects the unusually low desolvation penalty for the shielded amide
NH—consistent with what was observed in the MZ series. Therefore,
it is possible that substituting a more exposed amide with an ester
could lead to even greater improvement of membrane permeability. Using
a competitive fluorescence polarization (FP) assay, we found that
the ester-containing 3 was still capable of binding its
target protein, VHL, with a Kd only 1.7-fold higher than
that of the amide-containing 4, albeit >10-fold higher
than the potent VHL inhibitor VH298 (18, Figure ).[34] The Kd increase in the ester compound further advocates
for trying similar substitutions farther away from the VHL-binding
ligand to maintain binding capacity while improving permeability.
Figure 4
Fluorescence
polarization (FP)-derived Kd of amide to
ester substitution in SLX compounds: (A) VH298, a small molecule inhibitor
of the E3 ubiquitin ligase VHL, used as a positive control for high-affinity
binding. (B) FP data for compounds 3, 4,
and 18.
Fluorescence
polarization (FP)-derived Kd of amide to
ester substitution in SLX compounds: (A) VH298, a small molecule inhibitor
of the E3 ubiquitin ligase VHL, used as a positive control for high-affinity
binding. (B) FP data for compounds 3, 4,
and 18.Consistent with Foley
et al.,[17] we found
that permeability increased with decreasing linker length. This was
expected, as increasing the length of the linker usually results in
an increase in one or more of the MW, HBDs, or HBAs. For the AT and
CM/CMP series, compound permeability was reduced by half with one
or two additional PEG units in the linker, respectively (cf. 15 vs 16, and 12 vs 13, Figures and 5). This effect was more prominent in the MZ series
as 7 (2-unit PEG linker) was 20-fold more permeable than 8 (3-unit PEG linker). A 2-fold difference in permeability
was also seen in the MZP compounds (11, 4-unit PEG linker,
and 10, 2-unit PEG linker, Figure ). These results indicate that shorter linkers
typically produce more permeable compounds. Moreover, for all but
the MZP series, the compounds with shorter PEG linkers had higher
LPE values, suggesting that compounds with shortened linkers were
more efficient at permeating the membrane for their given lipophilicity.Physicochemical properties
of “MZP” and “CM/CMP”
PROTACs. Cmpd = compound; PAMPA units: × 10–6 cm/s; LogD(dec/w): 1,9-decadiene and PBS pH 7.4 shake
flask partition coefficient; LPE = LogD(dec/w) –
1.06(ALogP) + 5.47.Previous studies have
advocated for the use of short alkyl linkers
over PEG linkers to reduce total polar surface area to improve permeability.[17] Our results diverge in this respect, as we found
that our only compound bearing an alkyl linker, 17, was
the least permeable (P = 0.002 ×
10–6 cm/s). This compound was 2.5-fold less permeable
than 15, which has a 1-unit PEG linker. Compound 17 has one fewer HBA in this linker than 15 which
could reduce solubility and therefore affect permeability. While PAMPA
allows us to quantify the differences in permeabilities directly,
analyzing LPE enable us to predict which structural features cause
the permeability changes. Increasing the number of PEG units in the
PROTAC linker reduces the LPE of that compound (cf. 15 and 16). If the HBAs in these PEG linkers were not
contributing to IMHB, substituting the PEG linker in 15 with an alkyl linker as in 17 (removing HBAs) should
have little effect on LPE. However, this is not what we observed.
Instead, the LPE of alkyl-linked 17 is 0.8 lower than
its PEG counterpart 15, suggesting that the ether oxygen
in the PEG linker of 15 is capable of shielding HBD,
possibly the linker amide bond -NH (adjacent to JQ-1) in a manner
similar to that observed for MZ1 (Figure ). As the ΔLPE between 15 and 17 is less than the 1.8-unit difference expected
for a fully exposed HBD, it is likely that the PEG ether provides
only partial shielding by way of IMHB formation.The same phenomenon
is present in the SL-X series (3–6, Figure ). Compounds 5 and 6 have
an additional amide and 3-unit PEG linker compared to 3 and 4, respectively. If no additional IMHBs were present
in 5 and 6, the inclusion of these additional
HBAs and HBD should cause a decrease in LPE of at least 1.8, compared
to 3 and 4. Yet, the LPE values of 5 and 6 are only moderately lower than 3 (ΔLPE = 0.8) and 4 (ΔLPE = 0.4),
respectively. Thus, the PEG linker is likely involved in IMHBs responsible
for shielding some polarity. Moreover, using a linker capable of forming
IMHB could shield the polarity of important HBDs responsible for target
engagement, a feature that would not be possible with an alkyl linker.
Therefore, the best linker type for a given PROTAC is likely scaffold
dependent, further highlighting the need to examine the overall lipophilicity
of the molecule when designing a PROTAC.Comparing PAMPA and LogD(dec/w) to ALogP allows us to
analyze permeability trends and predict permeability improvements.
For compounds with ALogPs up to ∼4, there is a positive linear
correlation between ALogP and permeability.[22] As lipophilicity increases beyond ALogP ∼ 4–5, compounds
become insoluble or membrane-retained, and their effective membrane
permeabilities diminish (Figure A). Therefore, designing PROTACs to have an ALogP below
5.0 could bias these compounds toward higher permeabilities. The CM/CMP
compounds have low permeabilities and lower ALogPs (<1) than the
other PROTACs. As permeability typically increases with ALogP from
0–4, a lipophilicity increase, such as increasing the number
of −CH2– groups relative to oxygens in the
linker, could greatly improve CM/CMP permeability.[35]
Figure 6
PROTAC permeability and LPE. Graphs showing the (A) permeability
vs ALogP and the (B) LogD(dec/w) vs ALogP for compounds 1–17. Dashed line on (A) shows the linear
correlation between PAMPA and ALogP for ALogP from 0–4 (R2 = 0.9581). Dashed lines on (B) represent LPE classes, m = 1.06. LPE values (gray) are LPE averages for compounds
that fall on or near the line.
PROTAC permeability and LPE. Graphs showing the (A) permeability
vs ALogP and the (B) LogD(dec/w) vs ALogP for compounds 1–17. Dashed line on (A) shows the linear
correlation between PAMPA and ALogP for ALogP from 0–4 (R2 = 0.9581). Dashed lines on (B) represent LPE classes, m = 1.06. LPE values (gray) are LPE averages for compounds
that fall on or near the line.Plotting LogD(dec/w) vs ALogP creates a visualization
of the LPE metric which offers potential strategies to improve permeability
(Figure B). For example,
in the MZ series, 7 and 8 have low permeabilities
(>0.6 × 10–6 cm/s) and moderately low LPE
values
(>0.5). As 7 and 8 already have ALogP
values
close to 4.0, further increasing lipophilicity would likely push these
compounds into the insoluble region and cause a further decrease in
their membrane permeability (Figure A). Also, the addition of a Phe residue to 8 to generate 9 leads to a 1.2-unit decrease in LPE due
to the addition of an amide NH (which is less than the 1.8-unit cost
expected for the addition of an amide group, indicating partial IMHB).
This decrease in LPE between 8 and 9 is
partially offset by an increase in ALogP of 1.1 units, leading to
a 5-fold decrease in permeability and putting 9 over
the edge of the solubility cliff. This analysis suggests that the
decreased degrader activity observed in cells for 9 compared
to 8(6) could be, in part, due
to these poor physicochemical properties. Both the decrease in LPE
and a significant increase in ALogP contribute to the very poor permeability
of 9. An alternative solution to improving the permeability
of 7 and 8 would be to replace the amide
linkage to the bromodomain warhead with a group (such as an ester)
that does not contribute an HBD.The effect of structural features
on permeability and bioactivity
can be significant. Generally, the bromodomain-targeting compounds
(MZ, AT, MZP), with extremely low permeabilities (≤0.006 ×
10–6 cm/s), were less active in relevant cellular
antiproliferation assays than compounds with higher permeabilities
(≥0.03 × 10–6 cm/s, SI Table 2).[26] Specifically, 9 was both less permeable and less bioactive than 7 and 8. This decreased bioactivity is likely attributed
to the decreased permeability (Figure , SI Table 2), as binding
affinities with the target proteins were broadly comparable.[6,24] Similarly, the AT compounds were the least active compounds tested,
consistent with their much lower permeability (Figure , SI Table 2).
However, the related PROTAC, AT1, exhibited a 5-fold lower bind affinity
for the VHL protein and formed less stable ternary complexes compared
to 8,[7,36] which could also contribute to
the significant loss of cellular potency in the AT series. Conversely,
the formation of a cooperative and stable ternary complex can override
the impact of permeability.[36] For example, 8 forms a more stable complex with its targets, Brd4 and VHL,
than compound 7, leading 8 to be one log
unit more active, despite being 20-fold less permeable than 7 (Figure , SI Table 2).[26] Similarly, in the CM/CMP series, 13 is two log units
more active than 12 in a cellular protein degradation
assay despite being slightly less permeable (0.005 cm/s vs 0.009 cm/s, Figure ).[27] This suggests that differences in efficacy between these
two compounds are likely due to the relative stability of their respective
ternary complexes[27] rather than differences
in their extremely low permeabilities. These results suggest that
efforts to improve the permeability should be monitored in conjunction
with effects on ternary complex formation.In this study, we
have demonstrated that combining PAMPA and LPE
provides insight into PROTAC structure–permeability relationships.
These label-free assays model only passive permeability without the
confounding effects of active transport. PAMPA and LogD(dec/w) are established methods; therefore, comparisons can be made to data
previously gathered using these methods. With this simple method for
measuring the permeability of PROTACs in hand, a more systematic study
on PROTAC permeability and pharmacokinetics is required. While this
study provides some evidence, assessing the permeability of PROTACs
over a complete range of ALogP values would allow us to develop a
more detailed lipophilicity window to guide the design of PROTACs
biased toward higher permeability. As esters are generally more prone
to hydrolysis than amides, additional studies are required to assess
the viability of amide-to-ester substitutions. Finally, VH032-based
PROTACs have a high number of HBDs and HBAs often present on both
protein-binding domains of the molecule that are typically connected
by a long flexible linker. This arrangement of HBDs and HBAs lends
itself to the formation of IMHBs capable of shielding some of the
PROTACs’ polarity, enhancing permeability. The recently reported
macrocyclization of PROTACs[37] could also
prove beneficial in this regard by taking advantage of the IMHBs and
HBD-shielding often achieved by cyclic peptides. Future studies on
the permeability of these compounds, and expansion of these studies
to include other PROTAC classes such as those based on cereblon-binding
ligands, are warranted as they could create opportunities to model
and predict a network of IMHBs and fine-tune these interactions to
produce more permeable and more bioactive PROTACs.
Authors: André Mateus; Laurie J Gordon; Gareth J Wayne; Helena Almqvist; Hanna Axelsson; Brinton Seashore-Ludlow; Andrea Treyer; Pär Matsson; Thomas Lundbäck; Andy West; Michael M Hann; Per Artursson Journal: Proc Natl Acad Sci U S A Date: 2017-07-12 Impact factor: 11.205
Authors: Andrew T Bockus; Joshua A Schwochert; Cameron R Pye; Chad E Townsend; Vong Sok; Maria A Bednarek; R Scott Lokey Journal: J Med Chem Date: 2015-09-02 Impact factor: 7.446
Authors: Blake E Smith; Stephen L Wang; Saul Jaime-Figueroa; Alicia Harbin; Jing Wang; Brian D Hamman; Craig M Crews Journal: Nat Commun Date: 2019-01-10 Impact factor: 14.919
Authors: Alberto Juan; María Del Mar Noblejas-López; María Arenas-Moreira; Carlos Alonso-Moreno; Alberto Ocaña Journal: Front Cell Dev Biol Date: 2022-02-03
Authors: S Cyrus Khojasteh; Upendra A Argikar; James P Driscoll; Carley J S Heck; Lloyd King; Klarissa D Jackson; Wenying Jian; Amit S Kalgutkar; Grover P Miller; Valerie Kramlinger; Ivonne M C M Rietjens; Aaron M Teitelbaum; Kai Wang; Cong Wei Journal: Drug Metab Rev Date: 2021-06-24 Impact factor: 6.984