Primary hits that arise from screening one bead one compound (OBOC) libraries against a target of interest rarely have high potency. However, there has been little work focused on the development of an efficient workflow for primary hit improvement. In this study, we show that by characterizing the binding constants for all of the hits that arise from a screen, structure-activity relationship (SAR) data can be obtained to inform the design of "derivative libraries" of a primary hit that can then be screened under more demanding conditions to obtain improved compounds. Here, we demonstrate the rapid improvement of a primary hit against matrix metalloproteinase-14 using this approach.
Primary hits that arise from screening one bead one compound (OBOC) libraries against a target of interest rarely have high potency. However, there has been little work focused on the development of an efficient workflow for primary hit improvement. In this study, we show that by characterizing the binding constants for all of the hits that arise from a screen, structure-activity relationship (SAR) data can be obtained to inform the design of "derivative libraries" of a primary hit that can then be screened under more demanding conditions to obtain improved compounds. Here, we demonstrate the rapid improvement of a primary hit against matrix metalloproteinase-14 using this approach.
Entities:
Keywords:
iterative screening; one bead one compound (OBOC) libraries; rapid lead discovery; structure−activity relationship (SAR)
In the past two decades, high-throughput
screening (HTS) of small molecule libraries or compound collections
has become the most common method for the discovery of tool compounds
and drug leads.[1] HTS is most commonly done
in a highly automated fashion using tens to hundreds of thousands
of compounds placed in individual wells of microtiter plates using
some kind of functional assay. However, this requires robotics and
other sophisticated equipment, as well as specialized staff. Moreover,
the primary hits that arise from such screens almost always must be
improved significantly to yield compounds of real utility. This is
usually done via the synthesis and analysis of many derivatives of
the most promising hits, ideally providing structure–activity
relationship (SAR) that will guide the development of a more potent
or selective lead molecule. This medicinal chemistry phase of such
projects requires expert organic chemists and may be quite tedious,
depending on the structure of the primary hit. So while current screening
and hit optimization methodologies can be quite effective, the development
of much faster and cheaper ways to discover bioactive compounds remains
an important goal.An alternative technology that has received
attention from several laboratories, including our own, is to employ
simple protein binding screens and libraries of bead-displayed compounds.[2] This method employs the split and pool strategy[3] for the solid-phase synthesis of libraries. This
provides beads that display many copies of only a single compound.
When beads with a hydrophilic surface, such as TentaGel, are employed
in the synthesis, the same beads can be used in the screening step.
This technique was originally developed in the context of peptide
libraries[3] but is being extended to many
other classes of compounds with more drug-like properties.[4] One advantage of this screening platform is that
all of the beads can be screened in a single vessel by simply incubating
them with a labeled target protein and an excess of unlabeled competitor
proteins to enforce high selectivity.[2b] The beads that bind high levels of the labeled protein can be isolated
and then evaluated for binding to the target protein.Libraries
created by split and pool synthesis are constructed by assembly of
readily available building blocks using high yielding reactions. The
modular nature of these compounds should, in theory, simplify the
improvement of primary hits into leads. This could be done by creating
a library of derivatives in which the building blocks used bear some
resemblance to those employed to construct the primary hit, but alter
the steric or electronic nature of that module somewhat. This derivative
library could be screened under more demanding conditions for better
ligands. This exercise could be repeated more than once. Such a scheme
would be particularly attractive if one could obtain significant SAR
information in the process to guide the next round of library design.Unfortunately, although the literature is replete with reports
of primary hits from OBOC libraries, little work along these lines
has been reported.[5] One potential reason
for this may be the propensity of OBOC library screens to yield large
numbers of false positives,[6] which represents
one of the major disadvantages of this technology. These are compounds
that appear to bind the labeled target protein on bead quite well,
but then fail to do so when tested free in solution or in other formats.
This is a major problem because a great deal of time and expense can
be wasted in the postscreening phase on the resynthesis and characterization
of compounds that ultimately prove to be useless. Clearly, this is
a disincentive to the analysis of many hits from a derivative library
to glean SAR information.Various strategies have recently been
published to deal with this issue. One is to use redundant libraries
in which each compound in the library is displayed on several different
beads. Compounds isolated multiple times from a redundant library
are almost always bona fide ligands.[7] The
other general strategy is to evaluate the binding of each of the hits
to the target protein without the need to resynthesize each compound.[8] Perhaps the most effective method to accomplish
this was described by Auer and co-workers.[9] After separating the beads chosen as hits into individual wells
of a microtiter plate, a fluorescent label is affixed to the molecule
via functionality present in a conserved linker. The fluorescently
labeled compounds are then washed and released form the bead. Using
90 μm TentaGel beads, there is enough compound in solution to
allow the semiquantitative determination of the KD for the target protein by a titration experiment monitored
by fluorescence polarization (FP) spectroscopy in a 96-well format.
In this way, only the compounds with the highest affinity for the
target protein can be selected for resynthesis and more detailed analysis.In this study, we explore whether the use of a highly redundant
library, combined with the postscreening FP analysis protocol can
indeed support an efficient, SAR-driven hit improvement effort. Beginning
with a library of oligomers comprised of peptoid and peptide tertiary
acid (PTA) units, we report the identification of a modest affinity
ligand for matrix metalloproteinase 14 (MMP-14), a potentially interesting
target for slowing tumor metastasis.[10] We then show that, indeed, OBOC library screening and SAR analysis
by semiquantitative FP without hit resynthesis allows one to proceed
rapidly through an initial screen and multiple rounds of hit optimization,
arriving at a useful lead candidate suitable for more detailed characterization.
Results
and Discussion
Identification of a Primary Hit from a PTA
Library
MMP-14 is a zinc-dependent type-1 transmembrane metalloproteinase
involved in pericellular proteolysis, migration and invasion.[10a−10d] Its role in collagenolysis appears to be crucial for tumor invasion.
While several inhibitors of MMP-14 are known, there remains interest
in the development of new compounds since the existing small molecule
antagonists have modest selectivity, at best, over other MMP family
members.[11] While the focus of this study
is solely on establishing methodology to improve screening hits, we
are interested in the long run in improved MMP-14 inhibitors, so used
this protein as a test case.The library that was employed for
the primary screen is shown in Figure 1B. It
consisted of four N-substituted amino acids and was synthesized by
split and pool chemistry using the submonomer route developed by Zuckermann
and colleagues for peptoid synthesis.[12] However, rather than using 2-bromoacetate as the sole acid submonomer,
as is done for the synthesis of simple peptoids, the acid was also
made a diversity element by also using the two enantiomers of 2-bromoproprionic
acid. The combination of the chiral center at the α-carbon and
N-substitution provides significant conformational constraints on
the molecule[13] relative to peptides or
peptoids, which may allow for higher affinity binding.[14] The building blocks employed are shown in Figure 1B. The theoretical diversity of the library was
1 679 616 compounds. All of the molecules were built
off of an invariant linker that included an alkyne moiety for subsequent
tagging of the molecules with azidofluorescein.[9] Approximately 400 000 beads were used for the initial
screen. To remove unwanted ligands from the library, the beads were
first incubated with blocking buffer and primary antibody, and then
magnetic particles coated with secondary antibody were added. After
incubation and washing, strong magnets were used to remove all beads
that bound to the primary or secondary antibody.[8] Approximately 1% of the beads were removed in this way.
The denuded library was washed and incubated with blocking buffer
again. The library was then incubated first with MMP-14 protein (112Y-541A)
and then, after washing, the primary antibody. After another wash,
magnetic particles coated with secondary antibody were added. Again,
the magnetized beads were removed. About 100 beads were isolated.
96 were picked and placed into the wells of a 96 well filter plate,
with one bead per well.
Figure 1
Initial library and screening
strategy employed against MMP-14. (A) Workflow for screening and hit
characterization. (a) The beads are incubated with MMP-14, then an
anti-MMP-14 primary antibody, then a secondary antibody attached to
magnetic particles. Beads that contain MMP-14 compounds were separated
using a powerful magnet. (b) Hit beads are transferred to 96-well
plate, with one bead/well. (c) All hit compounds are labeled with
fluorescein by “click” chemistry. (d) Compounds are
cleaved from beads by TFA. (e) Compounds are separated from the beads
and transferred to a new plate by a vacuum manifold. (f) A titration
experiment, monitored by fluorescence polarization spectroscopy is
used to determine the binding affinity between each fluorescein labeled
compound and MMP-14. Each of the compounds was sequenced by tandem
mass spectrometry. (B) Library design. Total theoretical diversity
= 1 679 616.
Initial library and screening
strategy employed against MMP-14. (A) Workflow for screening and hit
characterization. (a) The beads are incubated with MMP-14, then an
anti-MMP-14 primary antibody, then a secondary antibody attached to
magnetic particles. Beads that contain MMP-14 compounds were separated
using a powerful magnet. (b) Hit beads are transferred to 96-well
plate, with one bead/well. (c) All hit compounds are labeled with
fluorescein by “click” chemistry. (d) Compounds are
cleaved from beads by TFA. (e) Compounds are separated from the beads
and transferred to a new plate by a vacuum manifold. (f) A titration
experiment, monitored by fluorescence polarization spectroscopy is
used to determine the binding affinity between each fluorescein labeled
compound and MMP-14. Each of the compounds was sequenced by tandem
mass spectrometry. (B) Library design. Total theoretical diversity
= 1 679 616.Structures of five highest affinity hits identified from first round
of screening. For the sequence of all 96 hits, see Supporting Information Table S1. F = fluorescein tag (see
Figure 1 for details). The common linker is
shown in gray and the variable elements in black.
Hit Evaluation without Resynthesis
As mentioned above, false
positives are common in bead screening experiments, so the binding
of each of the 96 hits to MMP-14 was evaluated. Azidofluorescein was
added to each well, along with a copper catalyst, resulting in the
attachment of the label to the bead bound molecule via a Huisgen cycloaddition
with the unique alkyne in the linker[9] (Figure 1). Trifluoroacetic acid (TFA) was added to release
each compound from the bead. The soluble compounds were separated
from the bead by filtration and transferred to the corresponding well
in a new plate.Each compound was titrated with MMP-14 and binding
was followed by FP spectroscopy to determine the crude binding affinity.
This process allowed us to evaluate the binding of all 96 hits to
MMP-14 in 2 days without the need for resynthesis.As anticipated,
many of the 96 hits proved to be poor MMP-14 ligands. Only 25 showed
binding curves that suggested a KD below 150 μM (Supporting Information Table S1). On the basis
of these data, the best four compounds were chosen for resynthesis.
In addition, compound KYG-1 was also included in this group because
of its significant sequence similarity to the best hit KYG-2. FP analyses
were then carried out with the resynthesized, HPLC-purified compounds
to obtain accurate binding constants. As shown in Table 1, KYG-2 (KD = 22 μM) was
found to have the best affinity for MMP-14, so this hit was chosen
for further development.
Table 1
Binding Affinity
of Top Five Compounds from First Two Rounds of Screeninga
compound
KD (μM)
std. dev.
compound
KD (μM)
std. dev.
KYG-1
110
8.1
KYG-97
2.7
0.3
KYG-2
22
1.9
KYG-98
0.7
0.1
KYG-3
60
7.9
KYG-99
1.8
0.3
KYG-4
35
6.5
KYG-100
1.1
0.2
KYG-5
30
3.0
KYG-101
1.3
0.1
KD values measured by fluorescent polarization.
Std. Dev.: Standard deviation of KD in
μM. For complete KD list, see Supporting Information Tables S1 and S3.
KD values measured by fluorescent polarization.
Std. Dev.: Standard deviation of KD in
μM. For complete KD list, see Supporting Information Tables S1 and S3.
Hit Improvement by Derivative Library Screening
To guide the design of a KYG-2 derivative library, the structures
of all 25 of the hits that exhibited an apparent KD of
below 150 μM were examined. This revealed that the side chains
at the second and fourth variable positions were dominated by aromatic
residues, while aliphatic residues were mostly found as the side chains
in the first and third variable positions (see Supporting Information Table S1). Furthermore, most of the
chiral centers were found in the third and fourth variable position.
On the basis of this, the library design shown in Figure 3 was chosen. Aliphatic amines were employed at positions
1 and 3, while benzylic or homobenzylic amines were used at positions
2 and 4. Unfortunately, while anilines would also have been of interest
as submonomers and have been incorporated into peptoids,[15] this chemistry is not efficient enough for creation
of high quality libraries. With respect to the acid submonomers, only
2-bromoacetate was employed at positions 1 and 2, while this compound
and three chiral 2-bromoacids were employed at positions 3 and 4.
The theoretical diversity of this library was 82,944 compounds.
Figure 3
Derivative
library screening. (A) Derivative library design. Three PTA submonomers
and bromoacetic acid were used at the third and fourth position of
the variable region. Theoretical diversity = 82 944. (B) Structures
of the five highest affinity hits determined by the fluorescent polarization
assay using compound from a single bead. (C) KD distribution of all 71 hits identified from derivative library
screening. F = fluorescein tag (see Figure 1 for details).
Derivative
library screening. (A) Derivative library design. Three PTA submonomers
and bromoacetic acid were used at the third and fourth position of
the variable region. Theoretical diversity = 82 944. (B) Structures
of the five highest affinity hits determined by the fluorescent polarization
assay using compound from a single bead. (C) KD distribution of all 71 hits identified from derivative library
screening. F = fluorescein tag (see Figure 1 for details).This library was screened
against MMP-14 as described above. However, thousands of beads were
pulled out as hits under the original screening conditions, which
is not surprising, since many of the compounds in the library resemble
KYG-2. This is too many to handle. Therefore, the screen was repeated
using half of the original MMP-14 concentration and a shortened incubation
time. From the 250 000 beads employed, 71 were pulled out as
hits magnetically and transferred to a 96-well plate in a one bead
per well fashion. These were labeled with fluorescein, released from
the bead and tested for binding to MMP-14, again using the multiwell
FP assay. All 71 compounds were found to bind MMP-14 with KD values from 0.5 to 32 μM (Figure 3C).
This is in stark contrast to the high preponderance of false positives
in primary library screens. More than half were found to have a KD equal to, or better than, the original hit KYG-2. The five
exhibiting the best apparent affinity for MMP-14 in this assay were
resynthesized, purified and accurate binding constants were determined
by FP analysis. Compounds KYG-97, KYG-98, KYG-99, KYG-100, and KYG-101
showed KD values of 2.7, 0.7, 1.8, 1.1, and 1.3 μM,
respectively (Table 1). However, in the course
of working with these compounds in different buffered aqueous solutions,
we observed that KYG-98, KYG-100, and KYG-101 exhibited poor solubility
in some, particularly those with significant Zn2+ and Ca2+ levels that are used to assess enzyme activity,[16] whereas KYG-97 and KYG-99 displayed excellent
solubility in all of the buffers tested. Therefore, we chose to focus
on these compounds.
Identification of Residues Important for
MMP-14 Binding
The ∼10-fold improvement in MMP-14
affinity in going from the primary hit, KYG-2 to the secondary screening
hit KYG-99 was gratifying, particularly since we had no structural
information to guide the design of the derivative library. However,
it was of interest to determine if further improvement could be achieved.
To do so, we decided to first identify the moieties in KYG-99 important
for binding to MMP-14, with the intent of reducing the mass of the
molecule by eliminating irrelevant parts before moving on. Four derivatives
of KYG-99 were synthesized in which each side chain, in turn, was
replaced by a methyl group (KYG-168, KYG-169, KYG-170, and KYG-171).
As shown in Figure 4, substitution of either
of the aromatic side chains (KYG-169 and KYG-171) resulted in at least
a 10-fold drop in affinity. However, elimination of the cyclopentyl
ring in the side chain at position 1 had only a modest effect while
substitution of a methyl group for the ether side chain at position
3 did not affect binding at all.
Figure 4
Identification of the pharmacophore of
KYG-99. (A) Structure of KYG-99 derivatives. F = fluorescein tag (see
Figure 1 for details). (B) Fluorescent polarization
assay of KYG-99 derivatives. Points are linked for clearer visualization,
these are not curve-fitted lines.
Identification of the pharmacophore of
KYG-99. (A) Structure of KYG-99 derivatives. F = fluorescein tag (see
Figure 1 for details). (B) Fluorescent polarization
assay of KYG-99 derivatives. Points are linked for clearer visualization,
these are not curve-fitted lines.To assess the importance of the chiral center in KYG-99,
the peptoid derivative KYG-173 was created. This resulted in a drastic
loss of affinity for MMP-14 (Figure 4). A nearly
identical result was observed when the nonessential ether side chain
at the third position was replaced with a hydrogen atom (KYG-174;
see Figure 4). These two data points strongly
suggest that the chiral methyl group and the adjacent N-alkyl group are likely to be important for stabilizing a favorable
conformation of the molecule for binding MMP-14 through allylic 1,3
interactions.[14]Finally, to ask if
the invariant linker used in the second round of library screening
might play a role in MMP-14 binding, compound KYG-172 was synthesized
and characterized. This derivative did display slightly weaker binding
than KYG-99 (KD values of approximately
7.6 μM and 1.8 μM), possibly due to the loss of nonspecific,
hydrophobic interactions, since the fluorescein-conjugated linker
alone did not bind detectably to MMP-14 (Figure 4).
Optimization of the Core Structure
These data show
that the most critical elements in KYG-99 for binding MMP-14 are the
aromatic residues at the second and fourth positions, which are likely
positioned appropriately by the conformationally biased PTA residue
at position 3. There are likely weaker hydrophobic interactions between
the C-terminal region of the molecule and the protein, as evidenced
by the modest effects of deleting the cyclopentyl group at position
1 or the linker. We therefore hypothesized that the minimal binding
unit would be represented by compound KYG-175 (Figure 5), in which the first unit of KYG-99 is eliminated entirely
and the side chain at the (formerly) third position is methyl. This
small molecule, with a molecular mass of less than 600 Da (excluding
the fluorescein probe) indeed bound to MMP-14 with a KD of 11 μM, almost identical to the value measured
for KYG-172 (Table 2).
Figure 5
Structures of the KYG-99
derivatives examined in the course of core structure improvement.
F = fluorescein tag (see Figure 1 for details).
Table 2
Binding Affinity
of Compounds Synthesized for Core-Structure Optimization As Shown
in Figures 4 and 5a
compound
KD (μM)
std. dev.
compound
KD (μM)
std. dev.
KYG-168
6.3
0.63
KYG-178
150
14
KYG-169
NA
NA
KYG-179
76
9.9
KYG-170
2.1
0.17
KYG-180
13
1.1
KYG-171
NA
NA
KYG-181
137
23
KYG-172
7.6
0.66
KYG-182
>200
NA
KYG-173
NA
NA
KYG-183
65
3.8
KYG-174
NA
NA
KYG-184
>200
NA
KYG-175
11
1.8
KYG-185
67
2.2
KYG-176
24
4.1
KYG-186
28
3.4
KYG-177
15
1.2
Std. Dev.: Standard
deviation of KD in μM.
Structures of the KYG-99
derivatives examined in the course of core structure improvement.
F = fluorescein tag (see Figure 1 for details).Std. Dev.: Standard
deviation of KD in μM.Before creating and screening a
library of KYG-175 derivatives, a few more individual compounds were
synthesized and analyzed to provide further guidance. Since electron-rich
aromatic rings and methyl ethers can sometimes be a metabolic liability
due to the action of cytochrome P-450s, we asked if the dimethoxyphenyl
ring could be replaced with the sterically similar, but electronically
different, dichloroarene. This was indeed the case. As shown in Figure 5 and Table 2, KYG-175 and
KYG-177 had an almost identical affinity for MMP-14. Thus, we utilized
KYG-177 as the starting point for further work.Although it
might be possible to further optimize the side chains of KYG-177,
we instead envisioned expanding the core unit represented by this
molecule in the hopes of picking up additional favorable interactions
with the protein. Thus, a small series of compounds was created in
which larger groups were introduced into various positions of KYG-177
to probe which regions of the molecule were tolerant of this sort
of manipulation. As shown in Figure 5 and Table 2, none of these alterations resulted in improved
binding. Acetylation of the N-terminus (KYG-178) was strongly deleterious
to binding. Enlargement of the aromatic group at the first position
(KYG-179, KYG-183, and KYG-186) also reduced affinity, though it should
be noted that these substitutions also made the rings less electron
poor, which may also have played a role. Changing the PTA unit from
an N-methyl alanine to N-methyl
phenylalanine (KYG-185) had a detrimental effect. We also examined
the substitution of amino acids for the PTA unit, but as predicted
by the poor binding of KYG-174 (Figure 5),
all of these compounds (KYG-181, KYG-182, and KYG-184) failed to bind
well to MMP-14. The only exception was the placement of proline at
this position, which makes sense since this is an N-substituted amino
acid. KYG-180 and KYG-177 had similar affinities for MMP-14 (Table 2).
Second Round of Derivative Library Screening
The tolerance of a proline insertion into the main chain was of
interest, since 4-azidoproline is readily available from 4-hydroxyproline
as an inexpensive starting material. The azido group can be coupled
to alkynes via Click chemistry, or reduced, allowing electrophilic
units to be added to this position, thus allowing expansion of the
molecule in a way that was not explored in the molecules shown in
Figure 5. We also speculated that while acetylation
of the N-terminus of KYG-177 was not tolerated, perhaps alkylation
or other processes that preserve the basic nitrogen might be, allowing
extension of the molecule in this direction.With these ideas
in mind, derivative libraries based on KYG-180 were created (Figure 6). We used both cis- and trans-4-azidoprolines in the scaffold. The azido group was
either subjected to a copper-catalyzed Huisgen cycloaddition or reduced
and used as an amine. To facilitate the downstream hit identification
process by mass spectrometry, we divided this library into four sublibraries.
A peptoid unit containing 7 different residues was synthesized at
the first position, following the linker (Figure 6, position X). The beads were then split and cis-4-azidoproline was added to one portion and trans-4-azidoproline to the other. These were kept separate. For both
bead populations, the second peptoid unit was then added to the pyrrolidine
ring nitrogen (Figure 6, position Z). We used
13 different amines (including six amino acids) and 5 aromatichydrazines
to achieve a high diversity at this position. Finally, Fmoc-Cl was
used to protect the terminal secondary amines.
Figure 6
Derivative libraries
based on the proline core structure. Four sublibraries were created
that differed in the aza-proline stereochemistry (see text for details)
to facilitate hit identification. Total theoretical diversity = 8820.
Derivative libraries
based on the proline core structure. Four sublibraries were created
that differed in the aza-proline stereochemistry (see text for details)
to facilitate hit identification. Total theoretical diversity = 8820.The beads were split again, now
creating four pools that we will refer to as libraries A–D.
In libraries A and C, the azide group of the 4-azidoproline was reduced
to an amine on-bead using TCEP and a peptoid unit constructed with
11 different amines and three acylhrdrazines was then added to this
amino group.Libraries B and D were split into 21 portions.
In 17 of these, the azido group was reduced to the amine and then
condensed with various electrophiles to generate 17 different amides
and sulfonamides (position W, Figure 6). The
remaining four portions were treated with an alkyne and a copper catalyst
to generate 4 different 1,2,3-triazole residues (position W, Figure 6). The theoretical diversity of all four libraries
was 8,820 compounds.All four sublibraries were then screened
against MMP-14 as described above, using the same conditions that
were employed in the previous derivative library screen. Seventeen
hits were identified in total (KYG-187 to KYG-203, see Figure 7). Interestingly, all of these were from sublibraries
C and D, in which trans-4-azidoproline was used, suggesting that the
cis-proline scaffold was disfavored. All 17 hits were characterized
by mass spectroscopy and their affinity for MMP-14 was measured using
the high-throughput FP assay (Table 3). On
the basis of these data, the five best hits were resynthesized, purified
and their affinity for MMP-14 was remeasured by FP assay. KYG-187
was identified as the best compound after resynthesis, with a KD value of 0.77 μM. Within the structures of all 17 hit
compounds, 3,4-disubstituted aromatic rings and residues bearing biphenyl
structure were found multiple times in all 17 hits, showing a clear
binding preference for these motifs. In total, 11 out of 17 compounds
have a 3,4-disubstituted aromatic ring at the Z position, 8 have biphenyl
structure at X, Y, or W position.
Figure 7
Structures of all 17 hits identified from
screening the aza-proline-containing libraries.
Table 3
KD and IC50 of All 17 Hits from Final Round of Derivative Screeninga
compound
KD (μM)
IC50 (μM)
compound
KD (μM)
IC50 (μM)
KYG-187
0.23 (0.77)
16
KYG-196
17.4
KYG-188
2.1 (1.6)
7
KYG-197
16.6
KYG-189
8.4
KYG-198
5.9
KYG-190
12
KYG-199
3.5 (1.2)
15
KYG-191
31
KYG-200
29
KYG-192
1.1 (1.2)
57
KYG-201
4.8
KYG-193
2.7 (4.1)
28
KYG-202
13
KYG-194
30
KYG-203
9.8
KYG-195
15
Numbers in parentheses
are KD values measured after re-synthesis.
IC50 measured by in vitro enzymatic assay for re-synthesized
hits.
Structures of all 17 hits identified from
screening the aza-proline-containing libraries.Numbers in parentheses
are KD values measured after re-synthesis.
IC50 measured by in vitro enzymatic assay for re-synthesized
hits.While the focus of
this study is improvement of binding, these five compounds were nonetheless
tested for their ability to inhibit MMP-14 using an assay in which
the enzyme cleaves a collagen-like substrate.[16] The results are shown in Table 3. The best
compound in the binding assay, KYG-187 showed an IC50 value
of 16 μM in the in vitro enzymatic assay, while KYG-188 (KD = 1.6 μM) showed the best potency, with
an IC50 of 7 μM.
Comparison of Hits From
Each Screening Round
To obtain an overview of the utility
of each step in the affinity maturation process, the dissociation
constants of the best compounds from each round of screening were
compared. To allow a fair comparison, the linker region of KYG-2 was
eliminated to provide KYG-204, which was compared in the same experiment
to KYG-172, KYG-180, and KYG-187, the best compounds from each round
of optimization. As shown in Figure 8, KYG-204
did not show saturated binding in the protein concentration range
explored (0.02–160 μM), indicating that the linker region
in KYG-2 played a significant role in binding. Compound KYG-172, which
is the variable region of the best hit from the first derivative library
screening, bound to MMP-14 with a KD value
of 7.6 μM, an enormous improvement over the affinity of KYG-204
(Figure 8). KYG-180, the compound to come out
of the nonlibrary-driven phase of improvement has about the same affinity
for MMP-14 as KYG-172 (KD values of 11
and 7.6 μM, respectively), but is significant smaller in size
and perhaps possesses more drug-like features. It bound to MMP-14
with a KD value of 11 μM. The best
compound from the last round of derivative library screening, KYG-187
showed the best binding curve with a KD value of 0.77 μM. Overall, a significant improvement in binding
was achieved through two rounds of derivative library screening and
one round of “pharmacophore trimming”.
Figure 8
Comparison of the compounds
identified from each round of screening/optimization. (A) Structures
of KYG-204 from initial screening (KYG-2 with the linker region removed),
KYG-172 from the first round of derivative library screening (linker
region removed), KYG-180 from the pharmacophore optimization and KYG-187
from the final round of derivative library screening. (B) Binding
affinity measured by titration with MMP-14, monitored using FP spectroscopy.
Comparison of the compounds
identified from each round of screening/optimization. (A) Structures
of KYG-204 from initial screening (KYG-2 with the linker region removed),
KYG-172 from the first round of derivative library screening (linker
region removed), KYG-180 from the pharmacophore optimization and KYG-187
from the final round of derivative library screening. (B) Binding
affinity measured by titration with MMP-14, monitored using FP spectroscopy.
Conclusion
In
conclusion, we have demonstrated an efficient process for the improvement
of primary hits that arise from screens of OBOC libraries. Critical
to this process is the use of the protocol developed by Auer and co-workers[9] that allows rough KD values of all the hits for the target protein to be evaluated without
the need for resynthesis. Whereas this process has been used to weed
out false positives in primary screens, this is the first example
of which we are aware where it has been used to generate the SAR data
needed to drive derivative library design and secondary hit evaluation.
Significant improvements in affinity and other important properties
such as the molecular mass were achieved at each step (Figure 8). We anticipate that this workflow will allow OBOC
library screening campaigns to more readily produce truly useful tool
compounds and drug candidates.
Experimental Procedures
General Experimental information
All the Fmoc-protected amino acids were purchased from AnaSpec
(Fremont, CA). TentaGel resin was purchased from Rapp Polymere GmbH
(German). All other reagents were purchased from Sigma-Aldrich or
Alfa Aesar, unless otherwise specified. All of the chemical reagents
and solvents from commercial sources were used without further purification.
Five mL and 10 mL disposable reaction columns (Intavis AG) were used
as reaction vessels for solid-phase synthesis. Syntheses of peptiods
under microwave conditions were performed in a 1500 W microwave oven
(GE model JE 1860BH04) with 10% power. HPLC was carried out on Waters
systems equipped with Waters 1525 binary HPLC pumps and a 2487 dual
λ
absorbance detector, or a 2998 photodiode array detector. The mobile
phase comprised of buffer A (H2O containing 20% CH3CN and 0.1% trifluoroacetic acid (TFA)) and buffer B (CH3CN containing 0.1% TFA). Analytical HPLC was conducted using
a Vydac C-18 column (5 μm, 250 × 4.6 mm, Alltech, Deerfield,
IL) at a flow rate of 1.0 mL/min with UV detection at 220 nm. MS and
MS/MS (MALDI-TOF) were performed on a 4800 Proteomics Analyzer (Applied
Biosystems) with α-cyano-4-hydroxycinnamic acid (CHCA) as a
matrix. All steps involving water utilized distilled water filtered
through a Barnstead Nanopure filtration system (Thermo Scientific)
MMP
Proteins
The plasmid construct for producing soluble MMP-14
(MMP-14 without the transmembrane domain, designated ΔTM-MMP-14)
was described previously.[17] ΔTM-MMP-14
was transfected transiently in COS-1 cells to generate soluble MT1-MMP
(S. Pahwa, S. Amar, M. Bhowmick, J. Cao, A.Y. Strongin, R. Fridman,
S.J. Weiss, and G.B. Fields, manuscript in preparation). ProMT1-MMP
was activated by using trypsin-3 at a final concentration of 0.1 ug/mL
and incubating for 1 h at 37 °C. The reaction was stopped by
addition of AEBSF (at a final concentration of 1 mM) and incubation
for 15 min at room temperature. The concentration of active MMP-14
was determined by titration with recombinant TIMP-2.[18]
ΔTM-MMP-14 activation
ΔTM-MMP-14 (80 nM) was incubated with trypsin (final concentration
= 5 μg/mL) at 37 °C for 1 h. After incubation, trypsin
was then inactivated by adding 4-(2-aminoethyl) benzenesulfonyl fluoride
hydrochloride (AEBSF) (final concentration = 1 mM) for at least 15
min at room temperature.
Enzymatic Assay
The triple-helical
substrate fTHP-9 [(Gly-Pro-Hyp)5-Gly-Pro-Lys(Mca)-Gly-Pro-Gln-Gly∼Cys(Mob)-Arg-Gly-Gln-Lys(Dnp)-Gly-Val-Arg-(Gly-Pro-Hyp)5-NH2] was synthesized using methods described previously.[19] fTHP-9stocks were made in 100% dimethyl sulfoxide
(DMSO), diluted to 50 μM (150 μM based on raw UV–vis
data as triple helix, ε363 = 15900) with tryptic
soy broth (TSB) and left overnight at 4 degrees to refold. Serial
dilution of the inhibitor was made with TS buffer (50 mM Tris-HCl,
pH = 7.5, 150 mM NaCl, 5 mM CaCl2, 1 μM ZnCl2 and 0.05% Brj35) and dispensed in a 384-well plate. Activated
MMP-14 solution and fTHP-9 stock were then added sequentially resulting
in 8 nM MMP-14 and 15 μM fTHP per well. Whole plate was incubated
at 37 °C for 1 h and measured for fluorescence (λEx = 324 nm and λEm = 405 nm)
Library Synthesis
All three libraries were synthesized on Tentagel Rink-amide beads
using protocols previously described. See Supporting
Information for detailed synthesis of each library used in
this study.
Library Screening
Prescreening
All
beads of the synthesized library were first swelled in DMF for 1 h
and washed thoroughly with 1× TBST five times and then equilibrated
in 1× TBST overnight under mild shaking. The library was then
washed again with PBS five times and then incubated with Starting
Block to block possible nonspecific binding for 2 h. A 1:1000 solution
of primary antibody, rabbit anti MMP-14, was then used to incubate
with all the beads for 2 h at room temperature. After gentle washing,
the magnetic beads coated with goat-anti rabbit secondary antibody
were then added, made a final concentration of 1 mg magnetic beads/mL
(TBS buffer). The whole system was allowed for a further an hour incubation
at room temperature with mild shaking. A rare earth 0.5 cm ×
0.5 cm × 0.5 cm magnet was used to remove beads that bound to
it, which were hits against primary and secondary antibodies. All
magnetic beads were then removed by rare earth magnet and the beads
were washed with 1× TBST five times. The library was then incubated
with Starting Block again and incubated overnight.
Screening
with First Library (Figure 1B)
After
prescreening, all beads were gently washed with TBST, a solution containing
100 nM MMP-14 protein in Starting Block was incubated with all the
beads under mild shaking for overnight at 4 °C. After incubation,
beads were gently washed with TBS and incubated again with 1:500 rabbit
anti-MMP-14 antibody in TBS for 2 h. The beads were washed again and
incubated with 1 mg/mL magnetic beads coated with goat antirabbit
secondary antibody. After a 2 h incubation, hit beads were isolated
with a strong magnet. These beads were collected and stripped of bound
protein by incubating in 50% acetonitrile/water (3 × 5 mL) for
30 min, followed by incubation in acetonitrile for 60 min. Each bead
was then isolated into a single well of a 96-well filter plate (Millipore)
and washed with water.
Screening with Second Library (Figure 3)
For the first round of screening, we
used exact condition as described above. However, too many hits were
separated and made it impossible to handle. All bead were stripped
off bound protein using a 4.0 M magnesium chloride tris buffer (pH
= 7.0). The beads were then washed with 50% acetonitrile/water and
equilibrated with TBST for 2 h. After 2 h, all beads were gently washed
with TBST, a solution containing 50 nM MMP-14 protein in Starting
Block was used to incubate with all the beads under mild shaking for
2 h. After incubation, beads were gently washed with TBS and incubated
again with 1:500 rabbit anti-MMP-14 antibody in TBS for 2 h. The beads
were washed again and incubated with 1 mg/mL magnetic beads coated
with goat antirabbit secondary antibody. After 2 h incubation, hit
beads were isolated with a strong magnet. These beads were collected
and stripped of bound protein by incubating in 50% acetonitrile/water
(3 × 5 mL) for 30 min, followed by incubation in acetonitrile
for 60 min. Each bead was then isolated into a single well of a 96-well
filter plate (Millipore) and washed with water.
Screening
with Third Library (Figure 6)
After
prescreening, all beads were gently washed with TBST, a solution containing
10 nM MMP-14 protein in Starting Block was used to incubate with all
the beads under mild shaking for 2 h. After incubation, beads were
gently washed with TBS and incubated again with 1:500 rabbit anti-MMP-14
antibody in TBS for 2 h. The beads were washed again and incubated
with 1 mg/mL magnetic beads coated with goat antirabbit secondary
antibody. After 2 h incubation, hit beads were isolated with a strong
magnet. These beads were collected and stripped of bound protein by
incubating in 50% acetonitrile/water (3 × 5 mL) for 30 min, followed
by incubation in acetonitrile for 60 min. Each bead was then isolated
into a single well of a 96-well filter plate (Millipore) and washed
with water.
Single-Bead Fluorescent Polarization Assay
For single-bead labeling with fluorescein azide, 130 μL of
a 1:1 mixture of t-BuOH and water was first added
to each well. A fluorescein azide (structure shown above) methanol
solution (0.3 mM) was dispensed to each well, 10 μL per well.
Ten microliters of freshly prepared aqueous solution of CuSO4 (0.3 mM) and ascorbic acid (0.6 mM) was then dispensed into each
well, and the whole plate was sealed and left on the shaker for 24
h. Final concentrations were: fluorescein azide (20 μM), CuSO4 (20 μM), ascorbic acid (40 μM). The beads were
then thoroughly washed with water and then ACN. Compound was cleaved
from the bead by incubating each bead in 20 μL of a 50 mg/mL
solution of cyanogen bromide (CNBr) dissolved in AcOH:ACN:water (5:4:1)
overnight at room temperature. The next day, the CNBr solution was
evaporated by vacuum centrifugation. After it was dried under under
vacuum, the cleaved compounds were dissolved in 60% acetonitrile/water,
the final concentration of all the compounds were normalized to 100
nM by UV absorption at 495 nm (ε495 = 78 000
M–1 cm–1). Serial dilution of
the streptavidin (homotetramer) in PBS buffer was dispensed in 384-well
plate, 10 μL each, and then the dissolved compounds in PBS were
added in each well. The whole plate was then mounted on EnVision plate
reader (PerkinElmer), and FP data was taken as direct read outs of
each well in mP using 450 excitation and 515 nm emission filters.
Fitting of the saturation curves to obtain KD values was accomplished using Prism (GraphPad Software, Inc.)
with a one-site specific saturation binding model. For resynthesized
compounds, after purification, each compound was dissolved in PBS
buffer to obtain a 100 nM solution. Serial dilutions of streptavidin
were prepared in a 96-well plate, 50 μL per well. Fifty microliters
of compound solution was added to each well and KD values were obtained as described above.
Structure
Identification by MALID-MS and MALDI-MS/MS
For hit sequence
identification, all solution was first evaporated by vacuum centrifugation
and the dry compound in each well was dissolved in 20 μL of
a 75:25 mixture of water/CH3CN containing 0.1% TFA. 0.6
μL from each well was cospotted with a 10 mg/mL solution of
CHCA dissolved in 50% acetonitrile in water containing 0.1% TFA. The
spot was dried, and the MALDI plates were analyzed on the 4700 Proteomics
Analyzer TOF-TOF mass spectrometer (Applied Biosystems/MD Sciex, Foster
City, CA). MS spectra of the intact ions were measured in positive
ion reflector mode in a mass range from m/z 800 to 2600 with a time resolution of 0.5 ns, a sensitivity
of 50 mV/div and 750 laser shots per sample spot. The instrument parameters
(laser position, voltages and times) were optimized for maximal signal
intensity and resolution. MALDI-MS spectra were analyzed using the
Data Explorer software (version 4.6, AppliedBiosystems,CA, USA). The
candidate structures were identified by comparison of all MS- with
a table of theoretical fragments for all individual library members.
Authors: Neel H Shah; Glenn L Butterfoss; Khanh Nguyen; Barney Yoo; Richard Bonneau; Dallas L Rabenstein; Kent Kirshenbaum Journal: J Am Chem Soc Date: 2008-12-10 Impact factor: 15.419
Authors: Kimberly D Barnash; Kelsey N Lamb; Jacob I Stuckey; Jacqueline L Norris; Stephanie H Cholensky; Dmitri B Kireev; Stephen V Frye; Lindsey I James Journal: ACS Chem Biol Date: 2016-07-14 Impact factor: 5.100
Authors: Kimberly D Barnash; Juliana The; Jacqueline L Norris-Drouin; Stephanie H Cholensky; Beau M Worley; Fengling Li; Jacob I Stuckey; Peter J Brown; Masoud Vedadi; Cheryl H Arrowsmith; Stephen V Frye; Lindsey I James Journal: ACS Comb Sci Date: 2017-02-22 Impact factor: 3.784
Authors: Choi-Fong Cho; Kyungheon Lee; Maria-Carmela Speranza; Fernanda C Bononi; Mariano S Viapiano; Leonard G Luyt; Ralph Weissleder; E Antonio Chiocca; Hakho Lee; Sean E Lawler Journal: ACS Comb Sci Date: 2016-05-23 Impact factor: 3.784
Authors: Todd M Doran; Jumpei Morimoto; Scott Simanski; Eric J Koesema; Lorraine F Clark; Kevin Pels; Sydney L Stoops; Alberto Pugliese; Jay S Skyler; Thomas Kodadek Journal: Cell Chem Biol Date: 2016-05-12 Impact factor: 8.116
Authors: Simon Vezina-Dawod; Alicia J Angelbello; Shruti Choudhary; Kye Won Wang; Ilyas Yildirim; Matthew D Disney Journal: ACS Med Chem Lett Date: 2021-03-02 Impact factor: 4.632