Chunlong Ma1, Michael Dominic Sacco2, Zilei Xia1, George Lambrinidis3, Julia Alma Townsend4, Yanmei Hu1, Xiangzhi Meng5, Tommy Szeto1, Mandy Ba1, Xiujun Zhang2, Maura Gongora2, Fushun Zhang5, Michael Thomas Marty4, Yan Xiang5, Antonios Kolocouris3, Yu Chen2, Jun Wang1. 1. Department of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, Arizona 85721, United States. 2. Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida 33612, United States. 3. Section of Pharmaceutical Chemistry, Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimioupolis-Zografou, 15771 Athens, Greece. 4. Department of Chemistry and Biochemistry, The University of Arizona, Tucson, Arizona 85721, United States. 5. Department of Microbiology, Immunology and Molecular Genetics, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, United States.
Abstract
The papain-like protease (PLpro) of SARS-CoV-2 is a validated antiviral drug target. Through a fluorescence resonance energy transfer-based high-throughput screening and subsequent lead optimization, we identified several PLpro inhibitors including Jun9-72-2 and Jun9-75-4 with improved enzymatic inhibition and antiviral activity compared to GRL0617, which was reported as a SARS-CoV PLpro inhibitor. Significantly, we developed a cell-based FlipGFP assay that can be applied to predict the cellular antiviral activity of PLpro inhibitors in the BSL-2 setting. X-ray crystal structure of PLpro in complex with GRL0617 showed that binding of GRL0617 to SARS-CoV-2 induced a conformational change in the BL2 loop to a more closed conformation. Molecular dynamics simulations showed that Jun9-72-2 and Jun9-75-4 engaged in more extensive interactions than GRL0617. Overall, the PLpro inhibitors identified in this study represent promising candidates for further development as SARS-CoV-2 antivirals, and the FlipGFP-PLpro assay is a suitable surrogate for screening PLpro inhibitors in the BSL-2 setting.
The papain-like protease (PLpro) of SARS-CoV-2 is a validated antiviral drug target. Through a fluorescence resonance energy transfer-based high-throughput screening and subsequent lead optimization, we identified several PLpro inhibitors including Jun9-72-2 and Jun9-75-4 with improved enzymatic inhibition and antiviral activity compared to GRL0617, which was reported as a SARS-CoV PLpro inhibitor. Significantly, we developed a cell-based FlipGFP assay that can be applied to predict the cellular antiviral activity of PLpro inhibitors in the BSL-2 setting. X-ray crystal structure of PLpro in complex with GRL0617 showed that binding of GRL0617 to SARS-CoV-2 induced a conformational change in the BL2 loop to a more closed conformation. Molecular dynamics simulations showed that Jun9-72-2 and Jun9-75-4 engaged in more extensive interactions than GRL0617. Overall, the PLpro inhibitors identified in this study represent promising candidates for further development as SARS-CoV-2 antivirals, and the FlipGFP-PLpro assay is a suitable surrogate for screening PLpro inhibitors in the BSL-2 setting.
The
COVID-19 pandemic has led to 170,812,850 confirmed cases and
3,557,586 deaths as of June 2, 2021, rendering it the worst pandemic
since the 1918 Spanish flu. The etiological agent of COVID-19 is SARS-CoV-2,
a single-stranded positive-sense RNA virus that belongs to the beta
coronavirus genus.[1] Two additional coronaviruses
within the same genus, SARS-CoV, and MERS-CoV, have caused epidemics
in humans with mortality rates of 9.6% and 34.3%, respectively. Although
SARS-CoV-2 has a lower mortality rate of 2.1% compared to SARS-CoV
and MERS-CoV, it has led to a far greater death toll due to its higher
transmission.[2] SARS-CoV-2 differs from
SARS-CoV and MERS-CoV in that it has a long incubation time after
the initial infection (1–2 weeks), and a large percentage of
infected patients continue to shed the virus while being asymptomatic,
presenting a daunting task for surveillance and containment.[3]Two mRNA vaccines developed by Pfizer/BioNtech
and Moderna and
one adenovirus-based vaccine by Johnson and Johnson have been approved
by FDA in the United States.[4] For small
molecule antivirals, remdesivir received FDA approval on October 22,
2020.[5] Although the polymerase of SARS-CoV-2
has a proofreading function, it continues to mutate at a rate about
10–6 per site per cycle.[3] Several variants have already emerged and have widely circulated
among humans since the beginning of the pandemic.[6] Therefore, there is a dire need for additional antivirals
with a novel mechanism of action. Antivirals are not substitutes for
vaccines but rather important complements that can be used for the
treatment of infection from both wild-type (WT) and variant viruses.
Among the viral proteins that have been actively pursued as SARS-CoV-2
antiviral drug targets, the main protease (Mpro) and papain-like
protease (PLpro) are the most promising ones.[7,8] Mpro and PLpro are involved in the proteolytic
digestion of the viral polyproteins pp1a and pp1ab, yielding individual
functional viral proteins for the replication complex formation. PLpro cleaves at three sites with the recognition sequence “LXGG↓XX”.[9] PLpro has been shown to play additional
roles in dysregulating the host immune response and impairing the
host type I interferon antiviral effect through its deubiquitinating
and deISG15ylating (interferon-induced gene 15) activities, respectively.[10−12] SARS-CoV-2 PLpro cleaves ISG15 and polyubiquitin modifications
from cellular proteins, and inhibition of PLpro led to
the accumulation of ISG15-conjugates and polyubiquitin conjugates.[13] While SARS-CoV PLpro prefers ubiquitinated
substrates, SARS-CoV-2 PLpro prefers the ISGlyated proteins
as substrates.[10−12] PLpro is part of a membrane -anchored
multidomain protein named nonstructural protein 3 (nsp-3), an essential
component of the replicase–transcriptase complex. The pleiotropic
roles of SARS-CoV-2 PLpro make it a promising antiviral
drug target. Substantial morbidity and mortality associated with COVID-19
infection is caused by cytokine storm,[14] and suppressing host immune response using dexamethasone and baricitinib
has been shown to provide therapeutic benefits in the treatment of
severe infections.[15,16]Significant progress has
been made in developing SARS-CoV-2 Mpro inhibitors,[7,8,17−20] and the Pfizer compounds PF-07304814 and PF-07321332 are currently in
phase 1 clinical trials.[21] In comparison,
PLpro represents a more challenging drug
target, and GRL0617 remains one of the most potent PLpro inhibitors reported to date despite several high-throughput
screening and medicinal chemistry optimization campaigns.[9,10,12,22,23]GRL0617 was originally developed
as a deubiquitinase inhibitor and was later identified as a SARS-CoV
PLpro inhibitor through a high-throughput screening.[23] As SARS-CoV-2 and SARS-CoV PLpro share
a sequence identity of 83% and similarity of 90%, GRL0617 was also repurposed for SARS-CoV-2 PLpro, and it was
reported to inhibit SARS-CoV-2 PLpro with IC50 values of around 2 μM and SARS-CoV-2 viral replication with
EC50 values around 20 μM from multiple studies.[12,13,22,24]In this study, we report our progress in developing novel
SARS-CoV-2
PLpro inhibitors. Using the fluorescence resonance energy
transfer (FRET)-based enzymatic assay, we conducted a high-throughput
screening against the Enamine 50K diversity compound library and identified
two hits Jun9-13-7 and Jun9-13-9 with single-digit
micromolar IC50 values. Subsequent lead optimization led
to the discovery of several hits with sub-micromolar potency in the
enzymatic assay. Notably, we developed the FlipGFP assay for quantifying
the intracellular PLpro inhibition, which can be conducted
in the biosafety level 2 (BSL-2) setting. We found a positive correlation
between the results from the FlipGFP-PLpro assay and the
antiviral assay, suggesting that the FlipGFP-PLpro can
be applied to faithfully predict the cellular antiviral activity of
PLpro inhibitors. The X-ray crystal structure showed that
binding of GRL0617 to the wild-type (WT) SARS-CoV-2 PLpro induced a conformational change in the BL2 loop to the
more closed conformation. Molecular dynamics (MD) simulations revealed
that the replacement of the carboxamide group in GRL0617 to the trialkyl ammonium in Jun9-72-2 and Jun9-75-4 results in stronger ionic hydrogen bonding interaction between the
N–H+ group with the side chain of Asp164 and in
a more optimal fitting of the receptor binding area. Overall, the
SARS-CoV-2 PLpro inhibitors reported herein represent promising
hits for further development as SARS-CoV-2 antivirals, and the FlipGFP-PLpro assay is useful in testing the cellular activity of PLpro inhibitors in the BSL-2 setting.
Results and Discussion
Expression
and Characterization of SARS-CoV-2 PLpro
Two constructs
of SARS-CoV-2 PLpro were expressed
in Escherichiacoli, one with a
Hig-tag (PLpro-His) and another without the tag (PLpro). To profile the proteolytic activity of PLpro in cleaving the viral polyprotein, we developed a FRET-based enzymatic
assay with the peptide substrate 4-((4-(dimethylamino)phenyl)azo)benzoic
acid (Dabcyl)-FTLRGG/APTKV-5-[(2-aminoethyl)amino]naphthalene-1-sulfonic
acid (Edans), which corresponds to the nsp2 nsp3 junction from the
SARS-CoV-2 polyprotein. The enzymatic activity kcat/Km of PLpro-His
and PLpro was 340 M–1 s–1 and 255 M–1 s–1 (Table S1), respectively, which is consistent
with previous reports.[12,24] SARS-CoV-2 PLpro was
also reported to have deubiquitinating and deISGylating activities.[10−13,22] Accordingly, we characterized
the deubiquitinating and deISGylating activities of SARS-CoV-2 PLpro-His using the Ub-AMC and ISG-AMC substrates, respectively,
in the enzymatic assay. It was found that SARS-CoV-2 PLpro-His is more efficient in cleaving the ubiquitin (Ub) and ISG15 (ISG)
modifications than the viral polyprotein, with kcat/Km values of 1070 and 1.67
× 105 M–1 s–1 (Table S2), respectively. This substrate preference
is in agreement with results reported previously,[24] and SARS-CoV PLpro was also reported to have
a similar substrate preference.[25] Significantly,
the deISGylating activity is 156-fold higher than the deubiquitinating
activity, which is consistent with previous reports that SARS-CoV-2
PLpro prefers ISG15 over ubiquitin.[9−13]
High-Throughput Screening of the Enamine
50K Diversity Library
against the SARS-CoV-2 PLpro and Hit Validation
The HTS assay was optimized in 384-well plates using the FRET substrate,
which gave a Z′ factor of 0.668 with a signal-to-noise
ratio (S/B) of 11.2, indicating that this was a robust assay (Figure ). We then performed
the HTS against the enamine library, which consists of 50 240
structurally diverse compounds. GRL0617 was included
as a positive control.
Figure 1
The 384-well high-throughput screening assay for SARS-CoV-2
PLpro. The signal to base ratio (S/B) is 11.2, and the
calculated Z′ factor is 0.688.
The 384-well high-throughput screening assay for SARS-CoV-2
PLpro. The signal to base ratio (S/B) is 11.2, and the
calculated Z′ factor is 0.688.Hits showing more than 50% inhibition (Figure S1) were repurchased from Enamine and titrated in the FRET-based
enzymatic assay to determine the IC50 values (Figure A and Table S3). In parallel, a differential scanning
fluorimetry (DSF) assay was performed as a secondary assay to characterize
the binding of the hits with SARS-CoV-2 PLpro (Figure B and Table S3). The most potent two hits, Jun9-13-7 and Jun9-13-9 (Figure C), had IC50 values of 7.29 ± 1.03
and 6.67 ± 0.05 μM, respectively. Jun9-13-7 and Jun9-13-9 also increased the thermal stability
of SARS-CoV-2 PLpro by 2.98 ± 0.09 and 2.18 ±
0.29 °C (Table S3), which is consistent
with their enzymatic inhibition. In comparison, GRL0617 had an IC50 value of 2.05 ± 0.12 μM and increased
the protein stability by 3.52 ± 0.27 °C in the DSF assay
(Table S3). The potency of GRL0617 in inhibiting SARS-CoV-2 PLpro from our study is consistent
with recent reports.[10−13] The rest of the hits had weak enzymatic inhibition (IC50 > 10 μM) and showed marginal binding to PLpro (Table S3); therefore, they were not
further pursued.
Both Jun9-13-7 and Jun9-13-9 also inhibit
the deubiquitinating and deISGylating activities with IC50 values ranging from 4.93 to 12.51 μM (Figure D and Table S4). In contrast, neither of these two compounds inhibited SARS-CoV-2
Mpro up to 200 μM (Figure S2), suggesting the inhibition of SARS-CoV-2 PLpro is specific.
The binding of Jun9-13-7 and Jun9-13-9 to
SARS-CoV-2 PLpro was further characterized using the native
mass spectrometry (Figure E). It was shown that both Jun9-13-7 and Jun9-13-9 showed dose-dependent binding to PLpro with binding stoichiometry of one drug per PLpro, similar
to the positive control GRL0617. Enzymatic kinetic studies
showed that compounds Jun9-13-7 and Jun9-13-9 are noncovalent inhibitors with Ki values
of 3.96 and 2.10 μM, respectively (Figure S3). The Lineweaver–Burk plots yielded an intercept
at the Y-axis, suggesting that both compounds are
competitive inhibitors similar to GRL0617 (Figure S3).
Figure 2
HTS and hit validation of SARS-CoV-2 PLpro inhibitors.
(A) IC50 values of the screening hits in the FRET-based
enzymatic assay, the red line indicates the IC50 = 10 μM.
(B) Differential scanning fluorimetry assay of the screening hits
in stabilizing the SARS-CoV-2 PLpro. (C) Chemical structures
of GRL0617, Jun9-13-7, and Jun9-13-9. (D) Inhibitory activity of Jun9-13-7 and Jun9-13-9 against SARS-CoV-2 PLpro using Ub-AMC and ISG-AMC substrates.
(E) Native MS binding assay of Jun9-13-9 and Jun9-13-7 to SARS-CoV-2 PLpro.
HTS and hit validation of SARS-CoV-2 PLpro inhibitors.
(A) IC50 values of the screening hits in the FRET-based
enzymatic assay, the red line indicates the IC50 = 10 μM.
(B) Differential scanning fluorimetry assay of the screening hits
in stabilizing the SARS-CoV-2 PLpro. (C) Chemical structures
of GRL0617, Jun9-13-7, and Jun9-13-9. (D) Inhibitory activity of Jun9-13-7 and Jun9-13-9 against SARS-CoV-2 PLpro using Ub-AMC and ISG-AMC substrates.
(E) Native MS binding assay of Jun9-13-9 and Jun9-13-7 to SARS-CoV-2 PLpro.
Lead Optimization of SARS-CoV-2 PLpro Inhibitors
To further optimize the enzymatic inhibition of Jun9-13-7 and Jun9-13-9, 13 structural analogues were purchased
from Enamine (Figure A), and 34 compounds were synthesized (Figure B) to elucidate the structure–activity
relationships (SAR). It was found that a hydroxyl substitution on
the left phenyl ring is critical for the activity, as methylation
led to significant loss of enzymatic inhibition (Jun9-13-9 vs Jun9-25-4). The methyl substitution on the methylene
linker is also important for the enzymatic inhibition (Jun9-13-9 vs Jun9-26-2). Similarly, the ortho-methyl or chloride
substation on the right phenyl ring is critical for the activity (Jun9-13-7 vs Jun9-29-5; Jun9-13-7 vs Jun9-13-4). Next, guided by this initial SAR results,
34 analogues were designed and synthesized (Figure B). Nine compounds had IC50 values
less than 1 μM including Jun9-75-4 (IC50 = 0.62 μM), Jun9-85-1 (IC50 = 0.66
μM), Jun9-84-3 (IC50 = 0.67 μM), Jun9-87-1 (IC50 = 0.87 μM), Jun9-72-2 (IC50 = 0.67 μM), Jun9-87-2 (IC50 = 0.90 μM), Jun9-87-3 (IC50 = 0.80 μM), Jun9-75-5 (IC50 = 0.56
μM), and Jun9-53-2 (IC50 = 0.89 μM).
Among them, Jun9-75-4 was the most potent PLpro inhibitor with an IC50 of 0.62 μM, a 10-fold increase
compared to Jun9-13-9 (IC50 = 6.67 μM). Jun9-75-4 is also 3-fold more potent than GRL0617 (IC50 = 2.05 ± 0.12 μM), representing one
of the most potent PLpro inhibitors reported to date.
Figure 3
SAR of
SARS-CoV-2 PLpro inhibitors. (A) Analogues of GRL0617 purchased from Enamine. (B) Synthetic compounds designed
based on the SAR results. Potent compounds with IC50 values
less than 1 μM are highlighted in blue.
SAR of
SARS-CoV-2 PLpro inhibitors. (A) Analogues of GRL0617 purchased from Enamine. (B) Synthetic compounds designed
based on the SAR results. Potent compounds with IC50 values
less than 1 μM are highlighted in blue.
Development of FlipGFP Assay for Testing the Cellular Activity
of SARS-CoV-2 PLpro Inhibitors
One of the challenges
in SARS-CoV-2 antiviral drug discovery is that SARS-CoV-2 is a biosafety
level 3 (BSL-3) pathogen, which limits the number of drug candidates
that can be screened. To help prioritize lead compounds for the antiviral
assay with infectious SARS-CoV-2, which requires BSL-3 facility, we
developed a cell-based FlipGFP assay for SARS-CoV-2 PLpro that is suitable for testing the intracellular activity of PLpro inhibitors in the BSL-2 setting. The two major advantages
of a cell-based PLpro assay over the FRET-based enzymatic
assay are that (1) it can eliminate compounds that are either cytotoxic
or membrane impermeable, and (2) substrate cleavage in the cell cytoplasm
recapitulates the physiological process of viral polyprotein cleavage
by PLpro in a virus-infected cell. It is known that cysteine
proteases are susceptible to redox active compounds as well as nonspecific
alkylating chemicals such as ebselen.[26,27] The FlipGFP-PLpro assay is expected to rule out such promiscuous compounds
since the substrate is cleaved under the reducing intracellular environment.In the assay design, the 10th and 11th β-strands from the
GFP protein were separated from the rest of the GFP β-barrel
(β-strands 1–9) (Figure A).[28−30] The 10th and 11th β-strands were linked through
the PLpro cleavage site and a heterodimerized coiled coils
E5/K5. In the absence of the PLpro, the 10th and 11th β-strands
are restrained and unable to associate with the GFP β-barrel
1–9. When the cleavage site is digested by the PLpro, the 11th β-strand then flips its orientation and associates
with GFP β-barrel 1–9 together with the 10th β-strand,
leading to restoration of the green fluorescence signal (Figure A). A red fluorescent
protein mCherry was included within the construct via a “self-cleaving”
2A peptide to act as the transfection control (Figure B), and the normalized ratio of green fluorescence
signal over red fluorescence signal is proportional to the enzymatic
activity of PLpro. Cells transfected with FlipGFP-PLpro but without the PLpro showed no green fluorescence
signal (Figure C,
sixth row), suggesting host proteases are unable to cleave the PLpro substrate sequence, thereby eliminating the background
signal interference. Specifically, little or no GFP signal was observed
when the cells were transfected with SARS-CoV-2 PLpro and
a construct containing either the TEV cleavage site (FlipGFP-TEV)
(Figure C, fourth
row) or the Mpro cleavage site (FlipGFP-Mpro) (Figure C, third
row). Similarly, little or no GFP signal was observed when the cells
were transfected with SARS-CoV-2 Mpro and a construct containing
the PLpro cleavage site (FlipGFP-PLpro) (Figure C, fifth row). In
contrast, strong green fluorescence signals were observed when the
cells were transfected with PLpro and FlipGFP-PLpro (Figure C, seventh
row) or Mpro and FlipGFP-Mpro (Figure C, second row).
Figure 4
Development of cell-based
FlipGFP assay for the quantification
of the cellular activity of SARS-CoV-2 PLPro inhibitors.
(A) Design principle for the cell-based FlipGFP assay. (B) Sequence
of the flipped GFP β10–11 and cleavage site. (C) FlipGFP-PLPro assay development. 293T cells that were not transfected
(Ø), or transfected with FlipGFP-Mpro and SARS-CoV-2
Mpro plasmids, or FlipGFP-Mpro and SARS-CoV-2
PLpro plasmids, or FlipGFP-TEV and SARS-CoV-2 PLpro plasmids, or FlipGFP-PLpro and SARS-CoV-2 Mpro plasmids, or FlipGFP-PLpro plasmid alone, or FlipGFP-PLpro and SARS-CoV-2 PLpro plasmids (details are described
in Materials and Methods). Representative
images of FlipGFP-PLpro assay with the positive control GRL0617 (D) and the negative control GC376 (E).
(F) Dose–response inhibition PLpro in the FlipGFP-PLpro assay by nine compounds selected from the FRET-based enzymatic
assay.
Development of cell-based
FlipGFP assay for the quantification
of the cellular activity of SARS-CoV-2 PLPro inhibitors.
(A) Design principle for the cell-based FlipGFP assay. (B) Sequence
of the flipped GFP β10–11 and cleavage site. (C) FlipGFP-PLPro assay development. 293T cells that were not transfected
(Ø), or transfected with FlipGFP-Mpro and SARS-CoV-2
Mpro plasmids, or FlipGFP-Mpro and SARS-CoV-2
PLpro plasmids, or FlipGFP-TEV and SARS-CoV-2 PLpro plasmids, or FlipGFP-PLpro and SARS-CoV-2 Mpro plasmids, or FlipGFP-PLpro plasmid alone, or FlipGFP-PLpro and SARS-CoV-2 PLpro plasmids (details are described
in Materials and Methods). Representative
images of FlipGFP-PLpro assay with the positive control GRL0617 (D) and the negative control GC376 (E).
(F) Dose–response inhibition PLpro in the FlipGFP-PLpro assay by nine compounds selected from the FRET-based enzymatic
assay.With the established assay condition,
we then screened nine most
potent PLpro inhibitors with IC50 values less
than 1 μM from the FRET-based enzymatic assay (Figure ). GRL0617 and GC376 were included as positive and negative controls, respectively.
Compounds were added 3 h post transfection, and GFP and mCherry fluorescence
signals were measured at 48 h post transfection. A dose-dependent
decrease of the GFP signal was observed with increasing concentrations
of GRL0617 (Figure D), and quantification of the normalized GFP/mCherry
ratio gave an EC50 value of 9.29 ± 3.45 μM.
As expected, GC376 had no effect on the intensity of
green fluorescence signal (EC50 > 60 μM) (Figure E), suggesting the
FlipGFP assay is suitable for the screening of PLpro inhibitors.
Among the nine compounds tested in the cell-based FlipGFP assay, compounds Jun9-53-2, Jun9-72-2, Jun9-75-4, Jun9-85-1, and Jun9-87-1 had EC50 values
less than 10 μM, while compounds Jun9-84-3 and Jun9-87-3 were less active with EC50 values of
17.07 μM and 10.16 μM, respectively. Compounds Jun9-75-5 and Jun9-87-2 were not active (EC50 >
50
μM), despite their potent activity in the FRET-based enzymatic
assay (Figure Jun9-75-5, IC50 = 0.56 μM; Jun9-87-2, IC50 = 0.90 μM).
Cellular Antiviral Activity
of PLpro Inhibitors against
SARS-CoV-2
To determine whether there is a correlation between
the FlipGFP-PLpro assay results and the cellular antiviral
activity of PLpro inhibitors, we first tested the nine
PLpro inhibitors selected from the FRET assay with IC50 values less than 1 μM against SARS-CoV-2 (USA-WA1/2020)
in Vero E6 cells. GRL0617 inhibited SARS-CoV-2 with an
EC50 of 23.64 μM. Compounds Jun9-72-2, Jun9-75-4, Jun9-84-3, Jun9-85-1, and Jun9-87-1 had more potent antiviral activity than GRL0617 with EC50 values of 6.62 μM, 7.88
μM, 8.31 μM, 7.81 μM, and 10.14 μM, respectively
(Figure A). Compounds Jun9-53-2 and Jun9-87-3 had similar antiviral
activity as GRL0617 with EC50 values of 25.19
μM and 22.34 μM, respectively. In contrast, Jun9-75-5 and Jun9-87-2 were not active (EC50 >
60
μM) (Figure S4).
Figure 5
Antiviral activity of
PLpro inhibitors against SARS-CoV-2
in Vero E6 and Caco-2 hACE2 cells. (A) Antiviral activity of PLpro inhibitors against SARS-CoV-2 in Vero E6 cells. (B) Antiviral
activity of PLpro inhibitors against SARS-CoV-2 in Caco2-hACE2
cells. Antiviral assay results for compounds Jun9-75-5 and Jun9-87-2 are shown in Figure S4.
Antiviral activity of
PLpro inhibitors against SARS-CoV-2
in Vero E6 and Caco-2 hACE2 cells. (A) Antiviral activity of PLpro inhibitors against SARS-CoV-2 in Vero E6 cells. (B) Antiviral
activity of PLpro inhibitors against SARS-CoV-2 in Caco2-hACE2
cells. Antiviral assay results for compounds Jun9-75-5 and Jun9-87-2 are shown in Figure S4.To further confirm the antiviral
activity, we tested the same set
of compounds against SARS-CoV-2 in Caco2-hACE2 cells. Caco2-ACE2 expresses
TMPRSS2 and is a physiologically relevant cell line for SARS-CoV-2
replication.[31−33]GRL0617 inhibited SARS-CoV-2 replication
in Caco2-hACE2 cells with an EC50 of 19.96 μM, and
seven PLpro inhibitors Jun9-53-2, Jun9-72-2, Jun9-75-4, Jun9-84-3, Jun9-85-1, Jun9-87-1, and Jun9-87-3 showed improved
antiviral activity with EC50 values ranging from 7.90 to
16.22 μM (Figure B). Jun9-75-5 and Jun9-87-2 were not active
(EC50 > 60 μM) (Figure S4), which is consistent with the results from the Vero E6 cells.Overall, three PLpro inhibitors Jun9-72-2, Jun9-85-1, and Jun9-87-1 were identified
as potent SARS-CoV-2 antivirals with EC50 values at or
less than 10 μM when tested in both the Vero E6 and Caco2-hACE2
cell lines.
Correlation between the Results from the
FlipGPF PLpro Assay
and the Antiviral Assay
Plotting the FlipGFP-PLpro assay results with the antiviral assays results showed that there
is a positive correlation in both the Vero E6 and Caco2-hACE2 cell
lines with R2 values of 0.86 and 0.89,
respectively (Figure A,B). Specifically, compounds Jun9-75-5 and Jun9-87-2 with weak activity in the FlipGFP-PLpro assay (EC50 > 60 μM and 55.07 μM, Figure E) also had no antiviral activity against
SARS-CoV-2 (Vero E6 and Caco2-hACE2 cells EC50 > 60
μM, Figure S4). The remaining seven
compounds which
had potent activity in the FlipGFP-PLpro assay also showed
potent antiviral activity in both the Vero E6 and Caco2-hACE2 cells
(Figure A,B). These
results suggest that the FlipGFP-PLpro assay can be used
to faithfully predict the cellular antiviral activity of PLpro inhibitors against infectious SARS-CoV-2. Although the FRET-based
enzymatic assay is typically used to select compounds for the antiviral
assay, we found there is a poor correlation between the FRET assay
results and the cellular antiviral assay results (Figure C,D). Taken together, the correlation
plots highlighted the advantage of the FlipGFP-PLpro assay
in prioritizing lead compounds for the antiviral assay with infectious
SARS-CoV-2.
Figure 6
Correlation of the FlipGFP-PLpro, FRET assay results
with the antiviral assay results. (A) Correlation of the results between
FlipGFP-PLpro assay and the antiviral assay in Vero E6
cells. (B) Correlation of the results between FlipGFP-PLpro assay and the antiviral assay in Caco2-hACE2 cells. (C) Correlation
of the results between FRET assay and the antiviral assay in Vero
E6 cells. (D) Correlation of the results between FRET assay and the
antiviral assay in Caco2-hACE2 cells.
Correlation of the FlipGFP-PLpro, FRET assay results
with the antiviral assay results. (A) Correlation of the results between
FlipGFP-PLpro assay and the antiviral assay in Vero E6
cells. (B) Correlation of the results between FlipGFP-PLpro assay and the antiviral assay in Caco2-hACE2 cells. (C) Correlation
of the results between FRET assay and the antiviral assay in Vero
E6 cells. (D) Correlation of the results between FRET assay and the
antiviral assay in Caco2-hACE2 cells.
X-ray Crystal Structure of SARS-CoV-2 PLpro in Complex
with GRL0617
The complex structure of SARS-CoV-2 PLpro with GRL0617 was determined at 2.50 Å resolution,
providing insight into its mechanism of inhibition. There are two
monomers per asymmetric unit in the P21 space group. Unambiguous electron density reveals that GRL0617 binds
to the S3–S4 subpockets of PLpro (Figure A). The naphthalene ring is
positioned in the S4 site, where it forms hydrophobic interactions
with Pro247 and Pro248. Upon ligand binding, Tyr268 flips inward (Figure B) to π-stack
with the naphthalene and benzene rings. Connecting the naphthalene
to the amide is a methylene linker that is substituted with a methyl
group. Here we show that this methyl inserts directly into the core
of the S4 subpocket. This section is nearly superimposable with the
γ and δ1 carbons of the P4 leucine for the
ISG15 substrate in the previously determined complex structure (Figure C), demonstrating
the nonpolar features of the S4 site as well as the complementarity
of the methyl moiety with the core of this subpocket. The amide nitrogen
of GRL0617 serves as a hydrogen bond acceptor for the side chain of
Asp164, while the amide oxygen accepts a hydrogen bond from the mainchain
amide of Gln269. The disubstituted benzene spans the central substrate
channel, partially occupying the P5–P3 substrate mainchain
binding site, where it forms π–π interactions with
the side chains of Tyr268/Gln269, and the backbone amides of Gly163/Asp164.
The ortho-methyl group projects toward the catalytic core forming
hydrophobic interactions with the S2 site, forcing Leu162 slightly
outward compared with the apo structure, while the meta-nitrogen orients
toward the S5 site, causing Gln269 to swing inward to accept a hydrogen
bond.
Figure 7
Complex structure of SARS-CoV-2 PLpro with GRL0617. The protein and ligand of the SARS-CoV-2 complex are colored in
light green and dark green, respectively. C111* indicates the catalytic
cysteine. (A) Binding mode of GRL0617 with an unbiased
Fo – Fc map, shown in gray, contoured
at 2σ. Hydrogen bonds are shown as red dashed lines. (B) Superimposition
with apo SARS-CoV-2 PLpro (salmon, PDB ID 6WZU). Significant rearrangement
is observed in the loop comprising residues Asn267-Cys270 upon GRL0617
binding. These movements are indicated with arrows. (C) Superimposition
with the terminal five residues of the ubiquitin-like protein ISG15
substrate (orange) from the complex with SARS-COV-2 PLpro (PDB ID 6XA9, showing only the ligand). The atoms of the Leu side chain at the
P4 position are labeled. (D) Superimposition with the catalytic mutant
C/S111 in complex with GRL0617 (PDB ID 7JIR, light blue and
dark blue). OAc indicates an acetate molecule in the C/S111 mutant
active site that may have caused the structural differences between
the WT and mutant complexes.
Complex structure of SARS-CoV-2 PLpro with GRL0617. The protein and ligand of the SARS-CoV-2 complex are colored in
light green and dark green, respectively. C111* indicates the catalytic
cysteine. (A) Binding mode of GRL0617 with an unbiased
Fo – Fc map, shown in gray, contoured
at 2σ. Hydrogen bonds are shown as red dashed lines. (B) Superimposition
with apo SARS-CoV-2 PLpro (salmon, PDB ID 6WZU). Significant rearrangement
is observed in the loop comprising residues Asn267-Cys270 upon GRL0617
binding. These movements are indicated with arrows. (C) Superimposition
with the terminal five residues of the ubiquitin-like protein ISG15
substrate (orange) from the complex with SARS-COV-2 PLpro (PDB ID 6XA9, showing only the ligand). The atoms of the Leu side chain at the
P4 position are labeled. (D) Superimposition with the catalytic mutant
C/S111 in complex with GRL0617 (PDB ID 7JIR, light blue and
dark blue). OAc indicates an acetate molecule in the C/S111 mutant
active site that may have caused the structural differences between
the WT and mutant complexes.In parallel to our study, the X-ray crystal structures of SARS-CoV-2
PLpro in complex with GRL0617 and its analogues were also
released by others with PDB IDs of 7CMD,[24]7CJM (C111S),[13]7JIR (C111S, Snyder457),[22]7JIT (C111S, Snyder495), 7JIV (C111S, Snyder530),
and 7JIW (C111S,
Snyder530). Notably, we are among the first ones to crystallize GRL0617
with the WT SARS-CoV-2 PLpro.One of the unique aspects
of GRL0617 is that it does
not interact with the catalytic core but instead binds to a distal
portion of the active site. Other research groups have determined
complex structures of PLpro with GRL0617 with
its catalytic cysteine, Cys 111, mutated to a serine, presumably to
increase its propensity to crystallize (PDB ID, 7JIR (2.1 Å) and 7CJM (3.2 Å)).[13,22] When the three structures are compared, the GRL0617 adopts a nearly identical pose. Minor differences in the side chain
conformations of Glu 167 and Gln 269 are observed. However, there
is a significant difference in the pose of Leu 162 between the WT
and the C111S mutants (Figure D). In our WT structure, Leu 162 inserts into the core of
the protein, where it maintains an interatomic distance of 3.4 Å
with the catalytic cysteine. In contrast, Leu 162 of both C111S structures
flips outward, toward the solvent. In the higher-resolution structure
(PDB ID 7JIR), an acetate from the crystallization condition is modeled in the
active site. When superimposed with our WT structure, this acetate
clashes with Cys 111 (closest distance 2.5 Å) and Leu 162 (3.0
Å). In the lower-resolution C111S mutant complexed with GRL0617 (PDB ID 7CJM), no acetate is modeled, but Leu 162 adopts the same
conformation as the higher-resolution C111S structure (PDB ID 7JIR). Further inspection
of the 2Fo – Fc map of 7JCM reveals that
there is unmodeled density corresponding to the acetate from PDB ID 7JIR. Interestingly,
this experiment did not use acetate in their crystallization condition.
Therefore, the density in the catalytic core of both C111S structures
likely corresponds to a species of unknown identity that preferentially
interacts with a serine residue.
Molecular Dynamics Simulations
of SARS-CoV-2 PLpro with GRL0617, Jun9-53-2, Jun9-72-2, and Jun9-75-4
The
binding interactions between
the GRL0617 and the PLpro protein in the X-ray
structure with PDB ID 7JRN and the stability of the X-ray structure were further
explored using 100 ns MD simulations. The MD simulations show that
the complex formed is stable (Figure A–C) and did not deviate significantly from
the starting crystallographic structure in the protease S4/S3 area,
having RMSD values smaller than ca. 2.4 Å for the protein and
ca. 2 Å for the ligand (Figure C). The MD simulations further verified the stability
of the binding interactions inside the broad binding cavity of SARS-CoV-2
PLpro observed in the X-ray structure, as inspected from
the MD simulation trajectory and shown in frequency interaction and
RMSD plots (Figure B). The naphthalene ring of the ligand is positioned in the hydrophobic
S4 site, according to the specific binding features of a ISG15 peptidic
substrate, e.g., with LXGG sequence (PDB ID 4MOW),[22] where it forms T-shaped π–π stacking
with Tyr268 and has dispersion interactions with Pro248, Tyr264, and
occasionally with Pro247, while the phenyl ring of the ligand can
interact with L162 (Figure A,B). Hydrogen bonding interactions stabilize the ligand,
e.g., between GRL0617 amide CO and the main chain NH
of Gln269; the GRL0617 amide NH and the Asp164 side chain
carboxylic acid, and occasionally between the anilino amino group
of GRL0617 and Tyr 268 side chain hydroxy group (Figure A,B).
Figure 8
Molecular dynamics simulations
of SARS-CoV-2 PLpro with GRL0617, Jun9-53-2, Jun9-72-2, and Jun9-75-4. In (A), (D),
(G), and (J) are shown representative
frames from 100 ns MD simulations of the complexes between the GRL0617, Jun9-53-2, Jun9-72-2, and Jun9-75-4 inside SARS-CoV-2 PLPro (protein = light
blue ribbon and sticks; the ligand’s carbons are shown in green;
nitrogen and oxygen are shown in blue and red, respectively; hydrogen
bonding interactions are shown with red dashes). In (B), (E), (H),
and (K) are shown stabilizing interactions inside the binding area
of PLpro with inhibitors; hydrogen bonding interactions
are depicted in blue, π–π stacking in yellow, hydrophobic
interactions in brown, and water bridges in green. The binding interactions
are considered important when the frequency bar is ≥0.2. In
(C), (F), (I), and (L) are shown the RMSD plots of Cα carbons
of the protein (blue diagram) and of the ligand (red diagram).
Molecular dynamics simulations
of SARS-CoV-2 PLpro with GRL0617, Jun9-53-2, Jun9-72-2, and Jun9-75-4. In (A), (D),
(G), and (J) are shown representative
frames from 100 ns MD simulations of the complexes between the GRL0617, Jun9-53-2, Jun9-72-2, and Jun9-75-4 inside SARS-CoV-2 PLPro (protein = light
blue ribbon and sticks; the ligand’s carbons are shown in green;
nitrogen and oxygen are shown in blue and red, respectively; hydrogen
bonding interactions are shown with red dashes). In (B), (E), (H),
and (K) are shown stabilizing interactions inside the binding area
of PLpro with inhibitors; hydrogen bonding interactions
are depicted in blue, π–π stacking in yellow, hydrophobic
interactions in brown, and water bridges in green. The binding interactions
are considered important when the frequency bar is ≥0.2. In
(C), (F), (I), and (L) are shown the RMSD plots of Cα carbons
of the protein (blue diagram) and of the ligand (red diagram).Using the structure with PDB ID 7JRN as a template, we
docked the potent analogues Jun9-53-2, Jun9-72-2, and Jun9-75-4 in the SARS-CoV-2 PLpro drug-binding
site. The stability
of the docking poses was explored inside the hydrophobic S4 area using
100 ns MD simulations. The MD simulations show that the complexes
formed are stable when the two methyl groups of the CH(CH3)-N(CH3) moiety are in the same side of the space, in
a gauche position, in agreement with the observed RMSD values of ligands
and protein which are both smaller than ca. 2 Å (Figure F,I,L).Compared to GRL0617, in Jun9-53-2, Jun9-72-2, and Jun9-75-4 the carboxamide group
has been replaced with a methylamino group increasing the ligand–receptor
hydrogen bonding interaction strength due to the presence of a donor
N–H+ group. Thus, in all complexes with Jun-compounds,
the N–H+ group is engaged in strong ionic bonding
interactions with the side chain carboxylic acid of Asp164 (Figure D,G,J,E,H,K) throughout
the simulation, shifting the ligands from Q269 toward M208 in the
S4 area (Figure D,G,J).
In this binding orientation, the R166 side chain is moved to stabilize
the side chain carboxylic acid anion of D164 with anionic hydrogen
bonding (Figure D,G,J).
All the ligands are stabilized inside the binding area by forming
T-shaped π–π stacking between the ligand naphthalene
ring and Tyr264 and hydrophobic interactions between naphthalene ring
and Pro248, Pro247 (Figure D,G,J,E,H,K). In the ligand Jun9-75-4 the indole
ring NH forms hydrogen
bonding interactions with Gln269, while in ligand Jun9-72-2 the donor phenol hydroxyl group forms a hydrogen bond with the main
chain NH group of L162, which is occasionally bridged with a water
molecule (Figure D,G,J,E,H,K).
Conclusion
Given the tremendous impact of the COVID-19 pandemic,
the SARS-CoV
outbreak in 2003 was a dire warning that was gravely overlooked in
retrospect. Looking forward, it is imperative that therapeutics are
developed that are not only effective against SARS-CoV-2 but against
future strains of similar coronaviruses. PLpro is a high-profile
drug target, partially because it is highly conserved between SARS-CoV
and SARS-CoV-2, sharing 83% sequence similarity. Inhibitors like GRL0617 are equally effective against both viruses, with a Ki of 0.49 μM and 0.57 μM, against
SARS-CoV PLpro and SARS-CoV-2 PLpro.[23] Likewise, all critical active site residues
that interact with GRL0617 are conserved. Consequently,
the binding poses are nearly identical (Figure S5). These similarities would indicate that PLpro inhibitors might retain their activity against beta coronaviruses
that might emerge in the future.Previous attempts to discover
SARS-CoV-2 PLpro inhibitors
through HTS have failed to identify hits with improved enzymatic inhibition
and cellular antiviral activity.[12,13] Structural
analogues of GRL0617 were also designed and synthesized;
however, none showed improved enzymatic inhibition.[22] Part of the reason for the difficulty in targeting SARS-CoV-2
PLpro is the lack of S1 and S2 pockets, which leaves only
S3 and S4 pockets for inhibitor binding. The majority of the cysteine
protease inhibitors are covalent inhibitors targeting the catalytic
cysteine,[34] and it remains a challenge
to develop noncovalent cysteine protease inhibitors with a similar
potency as the covalent inhibitors. Among the reported SARS-CoV or
SARS-CoV-2 PLpro inhibitors, GRL0617 is one
of the most potent compounds. However, it had weak antiviral activity
(Vero E6: EC50 = 23.64 μM; Caco2-hACE2: EC50 = 19.96 μM). In this study, we aim to identify more potent
SARS-CoV-2 PLpro inhibitors through a HTS. On the basis
of two promising hits Jun9-13-7 and Jun9-13-9, a library of analogues was designed and synthesized, among which
several compounds had sub-micromolar IC50 values in the
FRET-based enzymatic assay. To alleviate the burden of relying on
BSL-3 facility to test the antiviral activity of PLpro inhibitors,
we developed the cell-based FlipGFP-PLpro assay, which
can be used to quantify the intracellular enzymatic inhibition of
PLpro in a BSL-2 lab. The FlipGFP-PLpro assay
is a close mimetic of the virus-infected cell in which PLpro cleaves its substrate in the native intracellular reducing environment.
The advantage of the FlipGFP-PLpro assay over the standard
FRET-based enzymatic assay is that it can rule out compounds that
are either cytotoxic or membrane impermeable or nonspecifically modifying
the catalytic cysteine through oxidation or alkylation. Our results
showed there is a positive correlation between the results of FlipGFP-PLpro assay and the antiviral assay in both the Vero E6 and Caco2-hACE2
cells. In contrast, the correlation between the FRET assay results
and the antiviral assay results is poor. The FlipGFP-PLpro assay can be performed in the BSL-2 setting, which alleviates the
resources and financial burdens associated with screening a large
number of compounds in the BSL-3 facility. This is expected to speed
up the drug discovery process. In total, three PLpro inhibitors Jun9-72-2, Jun9-85-1, and Jun9-87-1 were identified as potent SARS-CoV-2 antivirals with EC50 values at or less than 10 μM when tested in both the Vero
E6 and Caco2-hACE2 cell lines.We also solved the X-ray crystal
structure of the wild-type SARS-CoV-2
PLpro in complex with GRL0617. Binding of GRL0617 to SARS-CoV-2 induced a conformational change in the
BL2 loop to the more closed conformation. In contrast, a larger inhibitor
VIR251 stabilizes the BL2 loop in the open conformation.[9] The intrinsic flexibility of the BL2 loop implies
that structurally diverse inhibitors might be able to fit in the S3–S4
pockets.As shown by the MD simulations, the replacement of
the carboxamide
group in GRL0617 to the trialkyl ammonium in Jun9-53-2, Jun9-72-2, and Jun9-75-4 affects the
binding interactions inside the receptor-binding region. In comparison
to GRL0617, the N–H+ group in Jun9-53-2, Jun9-72-2, and Jun9-75-4 is engaged in strong ionic hydrogen bonding interactions with a
side chain of Asp164, participating in another stabilizing ionic hydrogen
bonding interactions with Arg166, which pulls the ligands inside the
receptor-binding region from the hydrogen-bonded Gln269 to a new T-shaped
π–π stacking with the Ty264 instead of Tyr268 in GRL0617. All the four ligands form hydrophobic interactions
between naphthalene ring and Pro248. Overall, these features might
explain the higher potency of Jun9-53-2, Jun9-72-2, and Jun9-75-4 compared to GRL0617.In conclusion, the SARS-CoV-2 PLpro inhibitors discovered
in this study represent promising hits for further development as
SARS-CoV-2 antivirals, the FlipGFP-PLpro assay is a suitable
surrogate for testing the cellular activity of PLpro inhibitors
in the BSL-2 setting, and the results can be used to help prioritize
leads for the antiviral assay.
Materials and Methods
Cell Lines and Viruses
VERO E6 cells (ATCC, CRL-1586)
were cultured in Dulbecco’s modified Eagle’s medium
(DMEM), supplemented with 5% heat-inactivated FBS in a 37 °C
incubator with 5% CO2. Caco2 cells expressing human ACE2
(Caco2-hACE2) were established by transducing Caco2 cells (ATCC HTB-37)
with lentiviral particles derived with pWPI-IRES-Puro-Ak-ACE2 (a gift
from Sonja Best; Addgene plasmid #154985).SARS-CoV-2, isolate
USA-WA1/2020 (NR-52281), was obtained through BEI Resources and propagated
once on VERO E6 cells before it was used for this study. Studies involving
the SARS-CoV-2 were performed at the UTHSCSA biosafety level-3 laboratory
by personnel wearing powered air-purifying respirators.
Protein Expression
and Purification
Detailed expression
and purification of C-terminal His tagged SARS-CoV-2 PLPro (PLpro-His) were described in our previous publication.[8] Briefly, the SARS-CoV-2 papain-like protease
(PLpro) gene (ORF 1ab 1564–1876) from strain BetaCoV/Wuhan/WIV04/2019
with E. coli codon optimization
in the pET28b(+) vector was ordered from GenScript. The pET28b(+)
plasmid was transformed into BL21(DE3) cells, and protein expression
was induced with 0.5 mM IPTG when the OD600 was around
0.8 for 24 h at 18 °C. Then cells were harvested and lysed, the
PLpro-His protein was purified with a single Ni-NTA resin
column, and eluted PLpro-His was dialyzed against a 100-fold
volume dialysis buffer (50 mM Tris [pH 7.5], 150 mM NaCl, 2 mM DTT)
in a 10 000 kDa molecular weight cutoff dialysis tubing.The
expression and purification of untagged SARS-CoV-2 PLpro (PLpro) were carried out as follows: the SARS-CoV-2 PLpro gene (ORF 1ab 1564–1876) was subcloned from the
pET28b(+) to pE-SUMO vector according to the manufacturer’s
protocol (LifeSensors Inc., Malvern, PA). The forward primer with
the Bsa I site is GCGGTCTCAAGGTGAAGTTCGCACCATCAAAGTTTTTACC;
the reverse primer with a Xba I site is GCGGTCTCTCTAGATTACTTGATGGTGGTGGTGTAGCTGTTCTC.
SUMO-tagged protein was expressed and purified as PLpro-His protein. The SUMO tag was removed by incubation with SUMO protease
1 at 4 °C overnight, and the free SUMO tag was removed by application
of another round of Ni-NTA resin. The purity of the protein was confirmed
with a SDS-PAGE gel.The expression and purification of SARS-CoV-2
Mpro with
unmodified N- and C-termini were reported in previous studies.[8]
Peptide Synthesis
The SARS-CoV-2
PLpro FRET
substrate Dabcyl-FTLRGG/APTKV(Edans) and the SARS-CoV-2 Mpro FRET substrate Dabcyl-KTSAVLQ/SGFRKME(Edans) were synthesized by
solid-phase synthesis through iterative cycles of coupling and deprotection
using the previously optimized procedure.[35]Ub-AMC and ISG15-AMC were purchased from Boston Biochem (catalog
no. U-550-050 and UL-553-050, respectively).
Compound Synthesis and
Characterization
Details for
the synthesis procedure and characterization for compounds can be
found in the Supporting Information.
Enzymatic Assays
The high-throughput screening was
carried out in 384-well format. One microliter of 2 mM library compound
was added to 50 μL of 200 nM PLpro-His protein in
a PLpro reaction buffer (50 mM HEPES pH 7.5, 5 mM DTT and
0.01% Triton X-100) and was incubated at 30 °C for 1 h. The reaction
was initiated by adding 1 μL of 1 mM PLpro FRET substrate.
The end-point fluorescence signal was measured after 3 h incubation
at 30 °C with a Cytation 5 image reader with filters for excitation
at 360/40 nm and emission at 460/40 nm. The final testing compound
concentration is ∼40 μM, and the FRET substrate concentration
is ∼20 μM; a control plate as in Figure was included in every batch of screening.The diversity compound library consisting of 50,240 compounds was
purchased from Enamine (catalog no. 781270).For the measurements
of Km/Vmax: with Peptide-Edans as a substrate, the
final PLpro protein concentration is 200 nM, and the substrate
concentration ranges from 0 to 200 μM; with Ub-AMC as a substrate,
the final PLpro protein concentration is 50 nM, and the
Ub-AMC concentration ranges from 0 to 40 μM; with ISG15-AMC
as a substrate, the final PLpro protein concentration is
2 nM, and the ISG15-AMC concentration ranges from 0 to 15 μM.
The reaction was monitored in a Cytation 5 image reader with filters
for excitation at 360/40 nm and emission at 460/40 nm at 30 °C
for 1 h. The initial velocity of the enzymatic reaction was calculated
from the initial 10 min enzymatic reaction and was plotted against
the substrate concentrations in Prism 8 with a Michaelis–Menten
function.For the IC50 measurement with FRET peptide-Edans
substrate:
the reaction was carried out in 96-well format with 200 nM PLpro protein as described previously.[7,8] For
the IC50 measurements with Ub-AMC or ISG15-AMC substrate,
the reaction was carried out in 384-well format. The final PLpro protein concentration is 50 nM, and substrate concentration
is 2.5 μM when Ub-AMC is applied; the final PLpro protein concentration is 2 nM, and substrate concentration is 0.5
μM when ISG15-AMC is applied.For the Lineweaver–Burk
plots of GRL0617, Jun9-13-7, and Jun9-13-9, the assay was carried
as follows: 50 μL of 400 nM PLpro protein was added
to 50 μL of reaction buffer containing testing compound and
various concentrations of FRET peptide-Edans substrate to initiate
the enzyme reaction. The initial velocity of the enzymatic reaction
with and without testing compounds was calculated by linear regression
for the first 10 min of the kinetic progress curve, and then plotted
against substrate concentrations in Prism 8 with the Michaelis–Menten
equation and linear regression of double reciprocal plot.The
main protease (Mpro) enzymatic assays were carried
out in Mpro reaction buffer containing 20 mM HEPES pH 6.5,
120 mM NaCl, 0.4 mM EDTA, 20% glycerol, and 4 mM DTT as described
previously.[7,8,26,27]
Cell-Based FlipGFP-PLpro Assay
Plasmid pcDNA3-TEV-flipGFP-T2A-mCherry
was ordered from Addgene (catalog no. 124429). SARS-CoV-2 PLpro cleavage site LRGGAPTK or SARS-CoV-2 Mpro cleavage site
AVLQSGFR was introduced into pcDNA3-FlipGFP-T2A-mCherry via overlapping
PCRs to generate a fragment with SacI and HindIII
sites at the ends. SARS-CoV-2 Mpro and PLpro expression plasmids pcDNA3.1 SARS2Mpro and pcDNA3.1 SARS2
PLpro were ordered from Genscript (Piscataway NJ) with
codon optimization.For transfection, 96-well Greiner plate
(catalog no. 655090) was seeded with 293T cells to overnight 70–90%
confluency. A total of 50 ng of pcDNA3-flipGFP-T2A-mCherry plasmid
and 50 ng of protease expression plasmid pcDNA3.1 were used each well
in the presence of transfection reagent TransIT-293 (Mirus). Three
hours after transfection, 1 μL of testing compound was added
to each well at 100-fold dilution. Images were acquired 2 days after
transfection with a Cytation 5 imaging reader (Biotek) GFP and mCherry
channels and were analyzed with Gen5 3.10 software (Biotek). SARS-CoV-2
PLpro protease activity was calculated by the ratio of
GFP signal sum intensity over the mCherry signal sum intensity. The
FlipGFP-PLP assay IC50 value was calculated by plotting
the GFP/mCherry signal over the applied compound concentration with
a four-parameter dose–response function in Prism 8. The mCherry
signal alone was utilized to determine the compound cytotoxicity.
Differential Scanning Fluorimetry (DSF)
The thermal
shift binding assay (TSA) was carried out using a Thermo Fisher QuantStudio
5 Real-Time PCR system as described previously.[7,8,26,27] Briefly, 4
μM SARS-CoV-2 PLpro protein (PLpro) in
PLpro reaction buffer was incubated with 40 μM of
compounds at 30 °C for 30 min. 1× SYPRO orange dye was added,
and the fluorescence of the well was monitored under a temperature
gradient range from 20 to 90 °C with 0.05 °C/s incremental
step. Measured Tm was plotted against
the compound concentration with one-site binding function in Prism
8.
Native Mass Spectrometry
Before MS analysis, the protein
was buffer exchanged using two Micro Bio-Spin columns (Bio-Rad) and
diluted into 0.2 M ammonium acetate to a concentration of 10 μM.
Each drug was diluted with 100% ethanol to concentrations of 100,
200, and 400 μM. Imidazole, a charge reducing reagent, was added
to each sample to stabilize the drug-bound state at a final concentration
of 40 mM. For each sample, 0.5 μL of ligand was added and dried
down in each tube prior to the addition of 0.5 μL of 40 mM DTT,
0.5 μL of 400 mM imidazole, and 4 μL of protein for a
final concentration of 4 mM DTT and 8 μM protein. Final ligand
concentrations were either 10, 20, or 40 μM.Native mass
spectrometry (MS) was performed using a Q-Exactive HF quadrupole-Orbitrap
mass spectrometer with the Ultra-High Mass Range research modifications
(Thermo Fisher Scientific) as described in our previous publications.[7,8] Data were deconvolved and analyzed with UniDec.[21]
Immunofluorescence Assay
An antiviral
immunofluorescence
assay was carried out as previously described.[8,36] Briefly,
Vero E6 cells or Caca2-hACE2 cells in 96-well plates (Corning) were
infected with SARS-CoV-2 (USA-WA1/2020 isolate) at a MOI of 0.1 in
DMEM supplemented with 1% FBS. Immediately before the viral inoculation,
the tested compounds in a 3-fold dilution concentration series were
also added to the wells in triplicate. The infection proceeded for
24 h without the removal of the viruses or the compounds. The staining
and quantification procedures are described in our previous publications.[8] Briefly, the cells were fixed with 4% paraformaldehyde,
permeabilized with 0.1% Triton-100, blocked with DMEM containing 10%
FBS, and stained with a rabbit monoclonal antibody against SARS-CoV-2
NP (GeneTex, GTX635679) and an Alexa Fluor 488-conjugated goat antimouse
secondary antibody (ThermoFisher Scientific). Hoechst 33342 was added
in the final step to counterstain the nuclei. Fluorescence images
of approximately 10 000 cells were acquired per well with a
10× objective in a Cytation 5 (BioTek). The total number of cells,
as indicated by the nuclei staining, and the fraction of the infected
cells, as indicated by the NP staining, were quantified with the cellular
analysis module of the Gen5 software (BioTek).
Crystallization
and Structure Determination
SARS-CoV-2
PLpro-His (PLpro-His) protein was concentrated
and loaded to a HiLoad 16/60 Superdex 75 size exclusion column (GE
Healthcare) pre-equilibriated with 20 mM Tris pH 8.0 and 5 mM NaCl.
Peak fractions were pooled and incubated with GRL0617 in a 1:1 molar
ratio for 1 h at room temperature and then concentrated to 8 mg/mL.
PLpro crystals were grown in a hanging-drop, vapor-diffusion
apparatus by mixing 0.75 μL of 8 mg/mL PLpro-GRL0617
with 0.75 μl of well solution (30% PEG 4000, 0.2 M Li2SO4, and 0.1 M Tris pH 8.5). Crystals were transferred
to a cryoprotectant solution containing 30% PEG 4,000, 0.2 M Li2SO4, 0.1 M Tris pH 8.5, and 15% glycerol, before
being flash frozen in liquid nitrogen.X-ray diffraction data
for SARS-CoV-2 PLpro + GRL0617 was collected on the SBC
19-BM beamline at the Advanced Photon Source (APS) in Argonne, IL,
and processed with the HKL2000 software suite.[37] The CCP4 versions of MOLREP were used for molecular replacement
using a previously solved apo SARS-CoV-2 PLpro structure,
PDB ID: 6WZU as a reference model.[38] Rigid and restrained
refinements were performed using REFMAC, and model building was performed
with COOT.[39,40] Protein structure figures were
made using PyMOL (Schrödinger, LLC).
MD Simulations
MD simulations were carried out to the
bound GRL0617, Jun9-53-2, Jun9-72-2, and Jun9-75-4 with PLpro prepared as described
previously from the experimental structure of SARS-CoV-2 PLpro with GRL0617 (PDB ID 2JRN). Each complex was solvated using the
TIP3P[41] water model. Using the “System
Builder” utility of Schrodinger Desmond v.11.1, each complex
was embedded in an orthorhombic water box extending beyond the solute
10 Å in the x,y,z direction leading to 14 500 waters. Na+ and Cl– ions were placed in the water phase to neutralize
the systems and to reach the experimental salt concentration of 0.150
M NaCl. The total number of atoms was ca. 48 000.The
OPLS-2005 force field[42,43] was used to model all protein
and ligand interactions and lipids. The particle mesh Ewald method
(PME)[44,45] was employed to calculate long-range electrostatic
interactions with a grid spacing of 0.8 Å. van der Waals and
short-range electrostatic interactions were smoothly truncated at
9.0 Å. The Langevin thermostat[46] was
utilized to maintain a constant temperature in all simulations, and
the Berendsen barostat[47] was used to control
the pressure. Periodic boundary conditions were applied (73 ×
102 × 65) Å3. The equations of motion were integrated
using the multistep RESPA integrator[48] with
an inner time step of 2 fs for bonded interactions and nonbonded interactions
within a cutoff of 9 Å. An outer time step of 6.0 fs was used
for nonbonded interactions beyond the cutoff. Each system was equilibrated
in MD simulations with a default protocol for water-soluble proteins
provided in Desmond, which consists of a series of restrained MD simulations
designed to relax the system while not deviating substantially from
the initial coordinates.The first simulation was a Brownian
dynamics run for 100 ps at
a temperature of 10 K in the NVT (constant number of particles, volume,
and temperature) ensemble with solute heavy atoms restrained with
a force constant of 50 kcal mol Å–2. The Langevin
thermostat[46] was applied in the NVT ensemble
and a MD simulation for 12 ps with solute heavy atoms restrained with
a force constant of 50 kcal mol Å–2. The velocities
were randomized, and MD simulation for 12 ps was performed in the
NPT (constant number of particles, pressure, and temperature) ensemble
and a Berendsen barostat[47] with solute
heavy atoms equally restrained at 10 K and another one at 300 K. The
velocities were again randomized, and unrestrained MD simulation for
24 ps was performed in the NPT ensemble. The above-mentioned equilibration
was followed by 100 ns simulation without restraints. Two simulations
were performed in a workstation with GTX 970. The visualization of
the produced trajectories and structures was performed using Maestro
or programs Chimera[49] and VMD.
Safety Statement
No unexpected or unusually high safety
hazards were encountered.
Authors: Eric F Pettersen; Thomas D Goddard; Conrad C Huang; Gregory S Couch; Daniel M Greenblatt; Elaine C Meng; Thomas E Ferrin Journal: J Comput Chem Date: 2004-10 Impact factor: 3.376
Authors: Kiira Ratia; Scott Pegan; Jun Takayama; Katrina Sleeman; Melissa Coughlin; Surendranath Baliji; Rima Chaudhuri; Wentao Fu; Bellur S Prabhakar; Michael E Johnson; Susan C Baker; Arun K Ghosh; Andrew D Mesecar Journal: Proc Natl Acad Sci U S A Date: 2008-10-13 Impact factor: 11.205
Authors: Donghyuk Shin; Rukmini Mukherjee; Diana Grewe; Denisa Bojkova; Kheewoong Baek; Anshu Bhattacharya; Laura Schulz; Marek Widera; Ahmad Reza Mehdipour; Georg Tascher; Paul P Geurink; Alexander Wilhelm; Gerbrand J van der Heden van Noort; Huib Ovaa; Stefan Müller; Klaus-Peter Knobeloch; Krishnaraj Rajalingam; Brenda A Schulman; Jindrich Cinatl; Gerhard Hummer; Sandra Ciesek; Ivan Dikic Journal: Nature Date: 2020-07-29 Impact factor: 49.962
Authors: Jerzy Osipiuk; Saara-Anne Azizi; Steve Dvorkin; Michael Endres; Robert Jedrzejczak; Krysten A Jones; Soowon Kang; Rahul S Kathayat; Youngchang Kim; Vladislav G Lisnyak; Samantha L Maki; Vlad Nicolaescu; Cooper A Taylor; Christine Tesar; Yu-An Zhang; Zhiyao Zhou; Glenn Randall; Karolina Michalska; Scott A Snyder; Bryan C Dickinson; Andrzej Joachimiak Journal: Nat Commun Date: 2021-02-02 Impact factor: 14.919
Authors: Xiaopan Gao; Bo Qin; Pu Chen; Kaixiang Zhu; Pengjiao Hou; Justyna Aleksandra Wojdyla; Meitian Wang; Sheng Cui Journal: Acta Pharm Sin B Date: 2020-09-02 Impact factor: 11.413
Authors: Theresa Klemm; Gregor Ebert; Dale J Calleja; Cody C Allison; Lachlan W Richardson; Jonathan P Bernardini; Bernadine Gc Lu; Nathan W Kuchel; Christoph Grohmann; Yuri Shibata; Zhong Yan Gan; James P Cooney; Marcel Doerflinger; Amanda E Au; Timothy R Blackmore; Gerbrand J van der Heden van Noort; Paul P Geurink; Huib Ovaa; Janet Newman; Alan Riboldi-Tunnicliffe; Peter E Czabotar; Jeffrey P Mitchell; Rebecca Feltham; Bernhard C Lechtenberg; Kym N Lowes; Grant Dewson; Marc Pellegrini; Guillaume Lessene; David Komander Journal: EMBO J Date: 2020-08-26 Impact factor: 11.598
Authors: Chunlong Ma; Michael Dominic Sacco; Brett Hurst; Julia Alma Townsend; Yanmei Hu; Tommy Szeto; Xiujun Zhang; Bart Tarbet; Michael Thomas Marty; Yu Chen; Jun Wang Journal: Cell Res Date: 2020-06-15 Impact factor: 46.297
Authors: Ittipat Meewan; Jacob Kattoula; Julius Y Kattoula; Danielle Skinner; Pavla Fajtová; Miriam A Giardini; Brendon Woodworth; James H McKerrow; Jair Lage de Siqueira-Neto; Anthony J O'Donoghue; Ruben Abagyan Journal: Pharmaceuticals (Basel) Date: 2022-06-13
Authors: Lennart Brewitz; Jos J A G Kamps; Petra Lukacik; Claire Strain-Damerell; Yilin Zhao; Anthony Tumber; Tika R Malla; Allen M Orville; Martin A Walsh; Christopher J Schofield Journal: ChemMedChem Date: 2022-02-17 Impact factor: 3.540
Authors: Seyed Arad Moghadasi; Morgan A Esler; Yuka Otsuka; Jordan T Becker; Sofia N Moraes; Constance B Anderson; Srinivas Chamakuri; Christopher Belica; Chloe Wick; Daniel A Harki; Damian W Young; Louis Scampavia; Timothy P Spicer; Ke Shi; Hideki Aihara; William L Brown; Reuben S Harris Journal: mBio Date: 2022-04-26 Impact factor: 7.786
Authors: Radim Nencka; Jan Silhan; Martin Klima; Tomas Otava; Hugo Kocek; Petra Krafcikova; Evzen Boura Journal: Nucleic Acids Res Date: 2022-01-25 Impact factor: 16.971
Authors: Julia J Liang; Eleni Pitsillou; Katherine Ververis; Victor Guallar; Andrew Hung; Tom C Karagiannis Journal: Chem Phys Lett Date: 2021-12-18 Impact factor: 2.328