Abstract
The SARS-CoV-2 main protease (Mpro) is a major therapeutic target. The Mpro inhibitor, nirmatrelvir, is the antiviral component of Paxlovid, an orally available treatment for COVID-19. As Mpro inhibitor use increases, drug resistant mutations will likely emerge. We have established a non-pathogenic system, in which yeast growth serves as a proxy for Mpro activity, enabling rapid identification of mutants with altered enzymatic activity and drug sensitivity. The E166 residue is known to be a potential hot spot for drug resistance and yeast assays showed that an E166R substitution conferred strong nirmatrelvir resistance while an E166N mutation compromised activity. On the other hand, N142A and P132H mutations caused little to no change in drug response and activity. Standard enzymatic assays confirmed the yeast results. In turn, we solved the structures of Mpro E166R, and Mpro E166N, providing insights into how arginine may drive drug resistance while asparagine leads to reduced activity. The work presented here will help characterize novel resistant variants of Mpro that may arise as Mpro antivirals become more widely used.
Introduction
The evolution of new SARS-CoV-2 variants that evade vaccines, cause breakthrough COVID-19 infections in vaccinated individuals, and the limited vaccine availability in many parts of the world, highlight the need for complementary approaches1. Antiviral drugs provide an important alternative and can contribute to minimizing disease severity and death. The SARS-CoV-2 main or 3C-like protease (Mpro or 3CLpro) is essential for viral replication and is a promising drug target2,3. There have been intense efforts to repurpose or to develop new drugs that directly target Mpro 4,5. In December 2021, emergency authorization use of Paxlovid to treat COVID-19 was granted by the US Food and Drug Administration6. Paxlovid is a combination of the Mpro inhibitor, nirmatrelvir, and the cytochrome CYP3A inhibitor, ritonavir, which slows metabolism of nirmatrelvir7,8. Currently, there are several other Mpro inhibitors in clinical trials, including PF-07304814, the phosphate form of PF-008352319,10. As Mpro inhibitors become more widely used the emergence of resistant mutations will increase as greater selection pressure is present in the population.
Knowledge of resistant mutants can inform on drug design modifications to identify new drugs that target resistant variants. However, standard approaches to characterize resistant mutants using live virus11, recombinant proteins, and in vitro assays can be highly limiting due to infrastructure requirements, cost, and time12. Here we report a yeast system that is non-pathogenic, rapid, inexpensive, and reports on Mpro activity and drug resistance simply by measuring yeast growth. Using this assay, we found that compared to wild-type, the E166R mutation conferred strong nirmatrelvir resistance (Ki > 1000-fold). As the E166 site appears to be a hot spot for drug resistance from in vitro viral evolution experiments13,14, we solved the structures of two substitution mutants Mpro E166N and Mpro E166R, revealing how E166 mutations may compromise activity versus drug resistance, respectively. Our results demonstrate the yeast system can be a reliable tool to determine the activity and drug responses of Mpro mutants. Results from the yeast assays can help rapidly prioritize mutants for further analysis using more resource intensive systems. In doing, so we can efficiently test Mpro mutants as they arise in the population and aid in mitigating COVID-19 infections.
Results
SARS-CoV-2 Mpro, PLpro, spike, and helicase proteins are toxic in S. cerevisiae
We expressed six SARS-CoV-2 (Wuhan-Hu-1) NSPs and the structural genes, spike, M, E and N15 to determine if any would result in growth effects (Fig. 1A and Fig. S1A). We observed no marked growth phenotypes as determined by spot tests when M, E, N, NSP7, NSP8, or NSP12 were expressed (Fig. S1B). In contrast, spot tests revealed nearly a complete absence of growth when cells expressed NSP3 (PLpro), NSP5 (Mpro or 3CLpro), NSP13 (Helicase), and spike (Fig. 1A and 1B). Analysis of growth profiles of cells expressing PLpro, Mpro, Helicase, and spike showed all four genes caused a reduction in growth. Mpro and the Helicase were the most toxic conferring a ~70 to 80% reduction in total growth by 72 hours compared to cells carrying empty vector (Fig. 1A). As Mpro is highly conserved between classes of coronavirus and a key drug target we focused our efforts on using the yeast system to study Mpro structure and function.
Growth defect conferred by Mpro expression depends on its catalytic activity and associated with decreased abundance in essential and non-essential yeast proteins
To determine if the growth reduction depended on Mpro proteolytic activity we constructed a catalytic mutant of Mpro by replacing the key cysteine at position 145 to an alanine, which prevents the initial protonation step needed for peptide bond hydrolysis16,17. Liquid growth assays showed that yeast expressing the Mpro C145A mutant grew as well as the yeast control carrying empty vector (Fig. 1C). Western analysis showed that yeast expressed similar levels of wild-type and Mpro C145A mutant (Fig. 1D). These results demonstrate that the growth reduction observed in yeast expressing Mpro is dependent on its proteolytic activity.
Next, we measured the relative abundance of proteins in yeast expressing Mpro compared to yeast expressing the Mpro C145A catalytic mutant to determine the mechanism(s) that lead to loss of cell viability. Whole cell lysates were made from three independent cultures of cells expressing wild-type Mpro or the catalytic Mpro C145A mutant (Fig. 1E and Fig. S2). The biological replicates were highly reproducible, and we observed peptides from 153 proteins were significantly reduced in yeast expressing Mpro compared to the Mpro C145A mutant (Fig. 1E.) Gene ontology analysis revealed an enrichment for genes with functions in translation (Fig. 1F). In particular, multiple ribosomal proteins and translational regulators were reduced. There were a number of proteins that were significantly enriched in the Mpro catalytic mutant with functions in a variety of activities beyond translation and several are known to be essential. These results show that expression of Mpro leads to decreases in a variety of proteins and eventual loss of translation that is likely the cause of the growth defects.
Nirmatrelvir restores growth to yeast expressing Mpro from multiple coronaviruses
Considering that the growth reduction conferred by Mpro activity is dependent on its proteolytic activity we tested if treating yeast with nirmatrelvir, would suppress the growth reduction. We tested nirmatrelvir at several concentrations and observed no cytotoxic effects (Fig. S3A). Treating cells with increasing doses of nirmatrelvir led to a corresponding increase in growth (Fig. 2A and Fig. S2A). At 100μM and 200μM of nirmatrelvir, growth was restored to similar levels as cells carrying empty vector (Fig. 2A). As a metric to compare the effects of nirmatrelvir, we estimated the concentration of drug required to restore 50% of growth (RC50) relative to that of untreated Mpro expressing cells. Based on this criterion we calculated RC50 for nirmatrelvir to be 110.47 ± 4.76μM (Fig. 2A and 2F). To determine if Mpro from other coronaviruses could be studied similarly, we tested the recent Omicron variant, Mpro P132H, which is currently the dominant form of Mpro, and Mpro from SARS-CoV-1 and Bat-CoV-HKU9. We observed that in all cases Mpro conferred a significant growth reduction (Fig. 2B and Fig. S4A). Nirmatrelvir has been reported to have broad Mpro specificity7,9. Consistent with this work, we observed that nirmatrelvir could restore growth in yeast expressing Mpro from all three forms of Mpro (Fig. 2B and Fig. S4B).
To determine the specificity of the restored growth conferred by nirmatrelvir in cells expressing Mpro, we tested the effects of nirmatrelvir on cells expressing PLpro. The growth reduction associated with expression of the PLpro (Fig. 1A) should not be inhibited by this drug. We treated cells expressing PLpro with 200μM of nirmatrelvir and observed no improvement in growth (Fig. 2B). On the other hand, 50 μM and 100μM of GRL0617, an inhibitor of PLpro 18 was associated with partial recovery of growth (Fig. 2B). Together, these observations show that the restoration of growth conferred by nirmatrelvir in cells expressing Mpro is specific to Mpro rather than a non-specific effect on yeast physiology.
Characterization of potential nirmatrelvir resistant mutations in Mpro
We tested if growth of yeast expressing Mpro could be used as a proxy for Mpro activity. Thus, providing a system to rapidly determine structure function relationships as they relate to activity and drug resistance. A variety of interactions (H-bonds, salt-bridges, van der waals) mediate binding between the catalytic site of Mpro and inhibitors19–21. While knowledge of the residues in contact with the inhibitor can inform predictions that may compromise inhibitor binding it is not obvious what amino acid substitutions would maintain Mpro activity toward substrate while compromising inhibitor interactions. With our yeast system we can easily test the effect of substitution mutations and rapidly determine if the mutations alter catalytic activity and sensitivity to inhibitor(s) by following growth phenotypes. To determine the feasibility of this approach we focused on E166, and N142 as these two residues form direct interactions with inhibitors and substrates19,22.
We tested substitutions of E166 with three different amino acids that are yet to be dominant or present in the population. The following mutants predicted to be conserved (E166D), as the negative charge is maintained but with one less carbon in the side-chain; non-conserved (E166N), as asparagine is uncharged and has one less side chain carbon; and another non-conserved (E166R) substitution in which the arginine side chain is longer and positively charged were tested. We observed that all three substitutions were expressed at the same levels as wild-type Mpro but Mpro E166D and Mpro E166N mutants did not cause a reduction in growth and grew as well as empty vector controls (Fig. 2C and 2D, Fig. S5A). These results indicate that Mpro E166D and Mpro E166N may have defects in their enzymatic activities. However, the Mpro E166R mutant conferred a growth reduction that matched the wild-type Mpro, suggesting that its catalytic activity was intact (Fig. 2C and 2D, Fig. S5A).
Next, we challenged cells expressing Mpro E166R with increasing concentrations of nirmatrelvir (25μM, 50μM, 100μM, or 200μM) and observed no significant improvement in growth remaining nearly identical to the untreated culture of Mpro E166R expressing cells (Fig. 2E and Fig. S5b). Based on these experiments, the RC50 for nirmatrelvir is 711.82 ± 66.24μM, a ~7-fold increase in RC50 compared to wild-type Mpro. These results suggest that the E166R mutation confers resistance to nirmatrelvir.
We constructed a substitution at position N142, which is known to contribute to inhibitor and substrate binding7 and is yet to be present in the population. To inform on the specific substitution to make we used a distantly related Mpro from the gamma-coronavirus, IBV, which is conserved but displays slight divergence from SARS-CoV-2 Mpro9. We replaced N142 with alanine (Mpro N142A), as alanine is found in the IBV Mpro at the homologous site23. We observed a reduction in growth comparable to Mpro when Mpro N142A was expressed (Fig. 2C) showing that it remained active. The RC50 for nirmatrelvir increased modestly by ~1.5-fold (Fig. 2C). These results show that the substitution mutant E166R leads to nirmatrelvir resistance while N142A results in little difference from wild-type and E166N and E166D cause a loss in activity.
In vitro protease assays confirm that MproE166R is highly resistant to nirmatrelvir
The results from the yeast assays suggest Mpro E166R confers resistance to nirmatrelvir (~7-fold increase in RC50 vs WT). To determine how well yeast growth assays correlated with standard enzymatic assays we directly measured protease activity using recombinant Mpro, Mpro E166N, Mpro E166R, and Mpro N142A. First, we measured the catalytic efficiencies for all four forms of Mpro (Fig. 3A). Compared to wild-type Mpro, the catalytic efficiencies (kcat/Km) of Mpro E166R was decreased by ~16-fold, while Mpro N142A displayed a slight increase of 1.4-fold. In contrast, E166N was nearly inactive with kcat/Km of 132 S−1M−1, a 83.5-fold reduction compared to WT. The enzymatic assay results confirmed that the lack of toxicity of E166N in the yeast growth assay was due to the loss of catalytic activity (Fig. 2C). To determine the response of the mutants (Mpro E166R, and Mpro N142A) to inhibitors compared to wild-type, we measured the IC50 and Ki for nirmatrelvir, and two other Mpro inhibitors PF-00835231, and GC-3769,24. We observed for Mpro E166R, increases in IC50’s of ~143-fold for nirmatrelvir, ~52-fold for PF-0083521, and ~52-fold for GC-376. On the other hand, Mpro N142A, only minor increases in IC50’s of ~1.4-fold for nirmatrelvir, ~1.9-fold for PF-0083521, ~1.1-fold for GC-376 (Fig. 3B). The Ki values for the inhibitors in assays with Mpro E166R were increased by ~1620-fold for nirmatrelvir, ~423-fold for PF-0085231, and ~37-fold for GC-376 (Fig. 3C). Nearly no difference in Ki values from assays with Mpro N142A, ~1.2-fold for nirmatrelvir, ~0.9-fold for PF-0085231, ~1.5-fold for GC-376) (Fig. 3C). The enzymatic assays confirm the results from the yeast assays showing that Mpro E166R is highly resistant to nirmatrelvir and also show that there is cross-resistance to PF-0085231 and GC-376 (Fig. 2D). Similarly, results from yeast assays of Mpro N142A mutant appears to correspond well to the in vitro assays as both show minor to no increases in resistance (Fig. 3). Furthermore, the Mpro E166N, which is not predicted to be catalytically active from the yeast assay, displayed >83-fold decrease in activity compared to wild-type in the in vitro assays. This result is completely consistent with observing no growth reduction when expressed in yeast. Taken together there is good correlation between the enzyme and yeast assays.
Crystal Structure of MproE166R reveals a loss of interactions leading to drug resistance
We were particularly interested in how replacing glutamate at position 166 with arginine led to a >1000-fold increase in resistance to nirmatrelvir while a substitution with asparagine led to an 83.5-fold decrease in enzymatic activity even though E166 is not known to be directly involved in catalysis. Toward addressing both questions, we solved the crystal structure of apo Mpro E166N and the complex structure of Mpro E166R with GC-376 at 2.3 and 2.1 Å resolution, respectively (Fig. 4). In the Mpro E166N mutant structure, N166 forms a hydrogen bond (HB) with H163, an interaction not observed between E166 and H163 in the wild-type Mpro structure (Fig. 4A). This new HB prevents H163 from hydrogen bonding with the glutamine side chain of the substrate, an interaction crucial to substrate binding. The binding of the substrate would therefore require N166 to adopt a different conformation, breaking the HB with H163 and increasing the energetic cost. These observations explain the drastic decrease of activity in the E166N mutant and lack of toxicity when expressed in yeast (Fig. 2C) bringing to light how residues outside of the catalytic core can influence substrate binding.
In contrast, the longer and positively charged R166 side chain in the Mpro E166R mutant does not interact with H163, but rather extends into the solvent (Fig. 4B). Therefore, the S1 site is open for substrate binding. However, the E166R mutation does affect ligand binding in several aspects. The negatively charged E166 side chain forms two crucial HBs, one with the N-terminus of the neighboring Mpro protomer in the biological dimer, and the other with the pyrrolidone side chain of inhibitors (in both nirmatrelvir and GC-376) or with the glutamine side chain of the substrate as described above. The E166R mutation would abolish this direct HB with the substrate or inhibitor, resulting in the pyrrolidone ring of GC-376 forming an alternative weak HB with F140 (3.1 Å in length) in the mutant complex structure (Fig. 4B). In addition, the N-terminus of the enzyme interacts with both E166 and the backbone carbonyl group of F140, and plays an important role in maintaining the structural stability of the enzyme active site. The E166R mutation eliminates the salt bridge with the N-terminus of the adjacent protomer, and further introduces electrostatic repulsion leading to small yet significant changes in the N-terminus conformation. Consequently, the distance between the N-terminal amine group and the F140 carbonyl group increased from 2.6 Å in the WT to 3.7 Å in the Mpro E166R mutant, diminishing the HB. This in turn may destabilize the loop that F140 resides on and also contains other important structural features involved in enzyme catalysis and ligand binding, including the backbone amide groups of Gly143 and Ser144 that form part of the oxyanion hole to stabilize the reaction transition state. This loop also contains the peptide bond between Leu141 and Asn142 that interacts with the two extra carbon atoms of the inhibitor pyrrolidone ring, but not with the substrate glutamine side chain. Destabilization of the region near F140 may increase the entropic cost of binding to the rigid pyrrolidone ring of nirmatrelvir and GC-376, more than the smaller and more flexible substrate glutamine side chain. For similar entropic reasons, the HB between the pyrrolidone ring and E166 might contribute more to inhibitor binding than that between the more flexible glutamine side chain and E166 (Fig. 4B). Consequently, the E166R mutation may have a stronger effect on binding to inhibitors such as nirmatrelvir versus substrate.
Discussion
In sum, we demonstrate that using yeast growth as a proxy for Mpro activity can be a reliable indicator of the effects that mutations in Mpro can have on its activity and potential for drug resistance. Yeast assays indicated that an E166R mutation was resistant to nirmatrelvir and in vitro enzyme assays confirmed this observation, revealing a ~1600-fold increase in resistance. Furthermore, the C145A catalytic mutant2 and E166N mutant did not cause a growth reduction in yeast and enzyme assays showed that the E166N substitution confers a dramatic ~83-fold decrease in activity. In yeast assays the N142A mutant displayed minor differences in drug sensitivity compared to wild-type (RC50 ~1.5-fold more than WT), which was confirmed by our in vitro enzyme assays. Similarly, the P132H mutant remained sensitive to nirmatrelvir based on our yeast assay, potentially even more sensitive with an RC50 ~2.8-fold less than WT. This is consistent with previous reports showing that the P132H mutant remains sensitive to nirmatrelvir in in vitro enzyme assays25–28. It appears that Mpro mutants (i.e. E166R) that have a decrease in catalytic efficiencies of up to 16-fold compared to WT are still able to confer a marked reduction in yeast growth. This is important as resistant mutants are likely to reduce protein fitness29,30. However, the yeast assay is unable to detect enhanced Mpro activity (e.g., Mpro N142A), which we observed in in vitro assays. This may have been due to the relatively small increase (1.4-fold). However, the enhanced activity associated with N142A suggests that Mpro can evolve to be a more active enzyme. It is possible that mutants which enhance Mpro activity can improve protein fitness when combined with resistant mutants that on their own may have reduced activity14. The crystal structure of E166R with GC-376 revealed loss of key hydrogen bonds with the pyrrolidone ring of GC-376 which can explain the increase in resistance to nirmatrelvir containing the same functional group. On the other hand, the E166N mutant which could be considered a more conserved change than E166R decreased activity by ~83-fold and did not confer a growth reduction in the yeast assays. In turn the crystal structure shows that the asparagine prevents substrate binding through a new hydrogen bond with H163, providing a mechanism to explain the significant reduction in activity. The additional mutants at E166 that are associated with in vitro viral evolution experiments along with what we show here highlight the importance of this site in playing a role in nirmatrelvir resistance. Our crystal structure illuminates a structural mechanism to help explain how substitutions at E166 can either lead to loss of activity versus gain of resistance.
While the drug doses used with yeast are in the micromolar versus nanomolar range that is more typical of in vitro enzymatic or viral assays, we observed good correlations between the yeast and enzymatic assays for nearly all of the mutants tested. The higher concentrations of drug may be needed even though we deleted the major efflux pump, Pdr5, as yeast harbor a range of efflux activities31, or possibly differences in permeability as a result of lipid composition differences from human cells, as well as potential drug interactions with the yeast cell wall32. Additional differences observed between the yeast and enzymatic assays may be a result of having multiple substrates in yeast, additional complexity of the cellular proteome, differences in pH, salt, and oxidation levels.
Taken together, these results demonstrate that a non-pathogenic, rapid, inexpensive and highly accessible yeast-based method can be used to characterize mutants for both their effects on Mpro activity and their responses to inhibitor compounds. There are reports using yeast as a tool to screen for Mpro inhibitors or perform mutational analysis33,34. These systems incorporate Mpro reporters and modification of Mpro to carry a N-terminal serine. Our work shows that measuring the effects of Mpro (with a N-terminal methionine) on yeast growth (without any reporters) can be a rapid and inexpensive approach to determine consequences of Mpro mutations on activity and drug response. The qualitative results from the yeast assays can be an important tool to help prioritize mutants of interest before moving ahead to more demanding viral based experiments. As more inhibitors are used in the general population there will be increasing selection pressures for drug resistant mutations that will go beyond the current set of mutants that are potentially drug resistant35,36. The yeast system reported here promises to be an invaluable tool in helping to combat future drug resistant mutations to stem the tide of COVID-19 infections.
Materials and Methods
Strains, media, and chemicals
All yeast strains carried a pdr5∷G418 deletion in the BY4741 background (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0). Yeast were grown in liquid synthetic complete (SC) media (0.17% yeast nitrogen base, 0.5% ammonium sulfate, amino acid mix with appropriate drop out as noted, 2% glucose) or on solid SC media containing 2% agar at 30°C. Media and reagents for culturing yeast were from United States Biological (Salem, MA). Mpro and PLpro inhibitors were from MedChemExpress (Monmouth Junction, NJ) and Selleck Chemicals (Houston, TX). All other chemicals were from Sigma Aldrich (St. Louis, MO) or VWR (Radnor, PA).
Expression of SARS-CoV-2 genes in yeast and mutagenesis
The indicated SARS-CoV-2 genes were codon optimized for yeast, tagged at the 3’ with a 3X-Flag epitope, carried on high copy plasmids and genes were under the control of the Gal1 promoter (see Table S1). Site directed mutagenesis was performed using In-Fusion Cloning Kit (Takara). Primers used for mutagenesis can be found in Table S2 and purchased from IDT DNA Technologies (Coralville, IA). The Mpro gene was sequenced to confirm that mutations were incorporated successfully.
Yeast Transformation
A single yeast colony was used to inoculate 5ml liquid YPD (1% yeast extract, 1% yeast bacto-peptone, 2% glucose) and grown overnight at 30°C. The next day cells were washed and resuspended in 1ml lithium acetate/TE solution (100 mM lithium acetate, 10 mM Tris-HCl, 1 mM EDTA, pH 7.5). Cells were aliquoted (60 μl) into microcentrifuge tubes, followed by the addition of denatured salmon sperm DNA (50μg), 0.2μg of plasmid, 1ml polyethylene glycol (PEG) lithium acetate solution (40% (w/v) PEG 4000, 100 mM lithium acetate, 10 mM Tris-HCl, 1 mM EDTA, pH 7.5), and incubated for 45min at 30°C. This was followed by a 20min incubation at 42° and chilled for 2min on ice. Cells were washed and resuspended in 100μl H2O and plated on selective SC agar plates, incubated for ~3 days at 30°C.
Protein extraction and western analysis
Cells were grown overnight in 5 ml SC-Ura, 2% raffinose at 30°C. The next day, fresh cultures were started with optical density OD600 of 0.5 in 20 ml SC-Ura, 2% galactose at 30° for 6 hrs. Cells were then harvested, frozen in liquid nitrogen, and stored at −80°. For total protein extract, trichloroacetic acid was performed as described previously37 and protein concentration was determined by BCA protein assay kit (Thermo scientific). Protein samples were separated by 4–12% gradient SDS-PAGE (GenScript) and blotted onto nitrocellulose or PVDF membranes. The following primary antibodies were used at 1:5000 dilution: anti-FLAG antibody (GenScript), and anti-GAPDH antibody (Proteintech). Secondary anti-mouse IgG HRP antibody was used at 1:7000 dilution (Promega). ChemiDoc (Bio-Rad) imaging system was used to detect chemiluminescence signals from blots.
Cell growth assays and RC50 measurements
Cells were grown overnight in 5ml SC-Ura, 2% raffinose at 30°C. The next day, fresh cultures were started with an OD600 of 0.1 in SC-Ura, 2% galactose, with or without inhibitors and transferred to to 96-well plates, incubated at 30°C on a a rotary shaker. Three independent transformants were used to test each form of Mpro. Each transformant was sampled three times for each assay. The plate was transferred to a Tecan Infinite 200 PRO plate reader, and OD600 measurements were taken at 0, 24, 48 and 72 hours, with 5 flashes per well. Excel (Microsoft) was used to analyze the raw data. As a measure of inhibitory activity of nirmatrelvir we calculated a Recovery Concentration (RC50). The slopes from the dose responses were calculated and used to estimate the concentration of inhibitor that improves growth to half-maximal relative to empty vector control after 72 hours of growth.
Yeast Proteomics
Cells were grown overnight in 10ml SC-Ura + 2% Raffinose media at 30°C. The next day, fresh cultures were started with OD600 of 0.1 in 100ml SC-Ura + 2% galactose at 30°C for 6 hr. Cells were then harvested, frozen in liquid nitrogen, and stored at −80°. Protein extraction was performed as described previously37 and protein concentration was determined using Pierce BCA protein assay kit (Thermo scientific).
To determine changes in the proteome associated with expression of Mpro versus Mpro C145A, in-solution tryptic digestion was performed as described38 followed by desalting with a Pierce Peptide Desalting Spin Columns per the manufacturer’s protocol (ThermoFisher Scientific, cat no. 89852) and the peptides were dried by vacuum centrifugation. 600 ng of the final sample was analyzed by mass spectrometry. HPLC-ESI-MS/MS was performed as previously described39. In brief, MS/MS was performed in positive ion mode on a Thermo Scientific Orbitrap Fusion Lumos tribrid mass spectrometer fitted with an EASY-Spray Source (Thermo Scientific, San Jose, CA). NanoLC was performed using a Thermo Scientific UltiMate 3000 RSLCnano System with an EASY Spray C18 LC column (Thermo Scientific).
Tandem mass spectra were extracted from Xcalibur ‘RAW’ files and charge states were assigned using the ProteoWizard 2.1.x msConvert script using the default parameters(23). The fragment mass spectra were then searched against the Saccharomyces cerevisiae (strain ATCC 204508 / S288c) (Baker’s yeast) UniProt database (6067 entries) using Mascot (Matrix Science, London, UK; version 2.6) using the default probability cut-off score. Cross-correlation of Mascot search results with X! Tandem was accomplished with Scaffold (version Scaffold_4.8.7; Proteome Software, Portland, OR, USA). Probability assessment of peptide assignments and protein identifications were made through the use of Scaffold. Only peptides with ≥ 95% probability were considered. Progenesis QI for proteomics software (version 2.4, Nonlinear Dynamics Ltd., Newcastle upon Tyne, UK) was used to perform ion-intensity based label-free quantification similar to as previously described39. Principal component analysis and unbiased hierarchal clustering analysis (heat map) was performed in Perseus40,41. Gene ontology and KEGG pathway enrichment analysis was performed with DAVID42.
Recombinant Mpro and proteolytic activity assays
SARS-CoV-2 Mpro mutants were generated with QuikChange® II Site-Directed Mutagenesis Kit from Agilent (Catalog #200524), using plasmid pE-SUMO-Mpro as the template. The plasmid produces tag-free Mpro protein with no extra residue at either N- or C-terminus upon removal of the SUMO tag by SUMO protease digestion17.
SARS-CoV-2 Mpro mutant proteins were expressed and purified as previously described17,24 with minor modifications. Plasmids were transformed into E. coli BL21(DE3) competent cells and bacterial cultures overexpressing the target proteins were grown in LB (Luria-Bertani) medium containing 50 μg/mL of kanamycin at 37 °C, and expression of the target protein was induced at an optical density (A600) of 0.6–0.8 by the addition of isopropyl β-d-1-thiogalactopyranoside (IPTG) to a final concentration of 0.5 mM. The cell culture was incubated at 18°C for 12–16 hrs. Bacterial cultures were harvested by centrifugation (8,000 ×g, 10 min, 4°C) and resuspended in lysis buffer containing 25 mM Tris (pH 8.0), 750 mM NaCl, 2 mM DTT, 0.5 mg/mL lysozyme, 0.5 mM phenylmethylsulfonyl fluoride (PMSF) and 0.02 mg/mL DNase I. Bacterial cells were lysed by alternating sonication (30% amplitude, 1 s on/1 s off) and homogenization using a tissue grinder. The lysed cell suspension was clarified by centrifugation (18,000 ×g, 30min, 4°C) and the supernatant was incubated with Ni-NTA resin for over 2 hrs at 4°C on a rotator. The Ni-NTA resin was thoroughly washed with 20 mM imidazole in washing buffer containing 50mM Tris (pH 8.0), 150mM NaCl, 2 mM DTT, and SUMO-Mpro protein was eluted with elution buffer containing 50 to 300mM imidazole, 50mM Tris (pH 8.0), 150mM NaCl, 2mM DTT. Fractions containing SUMO-Mpro proteins greater than 90% homogeneity were pooled and subjected to dialysis (two times) against a buffer containing 50mM Tris (pH 8.0), 150mM NaCl, 2mM DTT and 10% glycerol. SUMO protease digestion was carried out at 30°C for 1 hr to remove SUMO tag. Following digestion, SUMO Protease and SUMO tag were removed by Ni-NTA resin. The purified tag-free SARS-CoV-2 Mpro mutant proteins were fast frozen in liquid nitrogen and stored at −80 °C.
For measurement of Km/Vmax of SARS-CoV-2 Mpro mutants, proteolytic reactions were carried out with optimized concentrations of the mutant proteins and a series of concentrations of FRET substrate ranging from 0 to 200 μM in 100μL of reaction buffer containing 20mM HEPES (pH 6.5), 120mM NaCl, 0.4mM EDTA, 4mM DTT, and 20% glycerol at 30°C in a BioTek Cytation 5 imaging reader (Agilent) with filters for excitation at 360/40 nm and emission at 460/40 nm. Reactions were monitored every 90s, and the initial velocity of the proteolytic activity was calculated by linear regression for the first 15min of the kinetic progress curves. The initial velocity was plotted against the FRET substrate concentrations using the classic Michaelis-Menten equation in Prism 8 software.
For IC50 measurements, optimized concentrations of the mutant proteins were incubated with series concentrations of GC-376, PF-00835231 or nirmatrelvir (PF-07321332) in 100μL of reaction buffer at 30°C for 15 min, and the reaction was initiated by adding 10μM FRET substrate. The reaction was monitored for 1 hr, and the initial velocity was calculated for the first 15min by linear regression. The IC50 was determined by plotting the initial velocity against various concentrations of the compounds using log (inhibitor) vs response-variable slope in Prism 8 software.
For Ki measurements, optimized concentrations of the mutant proteins were added to 20μM FRET substrate with various concentrations of GC-376, PF-00835231 or nirmatrelvir (PF-07321332) in 200μL of reaction buffer at 30°C to initiate the proteolytic reaction. The reaction was monitored for 2 hrs and the initial velocity was calculated for the first 90 min by linear regression. The Ki was calculated by plotting the initial velocity against various concentrations of the compounds using Morrison plot (tight binding) in Prism 8 software.
Mpro crystallization and structure determination
SARS-CoV-2 Mpro E166N/R was diluted to 5 mg/mL in protein buffer (50 mM Tris pH 7.0, 150 mM NaCl, 4 mM DTT). Protein for complex determination was incubated overnight at 4 °C with 2mM GC376. No precipitation was observed after incubation, and centrifugation was not necessary. Apo and complex crystals were grown using 1.5 μL:1.5 μL (protein:well solution) hanging drops and a well solution of 0.1 M MgCl2, 20% PEG 3350, 10% 1,6-hexanediol, 0.1 M HEPES pH 7.5, and 0.1 M LiSO4. E166N/R crystals grew overnight at 20 °C. Crystals were cryoprotected using the well solution supplemented with 20% glycerol, and then flash-frozen in liquid nitrogen.
X-ray diffraction data (Table S3) were collected at the Southeast Regional Collaborative Access Team (SER-CAT) 22-BM beamline at the Advanced Photon Source (APS) in Argonne, IL, and processed with HKL2000 and CCP4. PHASER was used for molecular replacement using a previously solved SARS-CoV-2 Mpro structure (PDB ID: 7LYH) as a reference model. The CCP4 suite, (23) Coot, (24) and the PDB REDO server (pdb-redo.eu) (25) were used to complete the model building and refinement. The PyMOL Molecular Graphics System (Schrödinger, LLC) was used to generate all images.
Supplementary Material
Acknowledgements
This work was supported by the National Institutes of Health (NIH) grants 1R15GM129766-01 to J.S.C. and AI158775 to J.W. Additional support was provided by funds from the Adeline E. Fracassi Trust (Gregory A. Pope) and the Litowitz Family Fund to J.S.C. J.S.C. thanks Drs. Stephen J. Kron and Sean Palacek for critical discussions related to this work. We are grateful to the staff and scientists at SER-CAT for assistance with X-ray diffraction data collection. SEC-CAT is supported by its member institutions, and equipment grants (S10_RR25528, S10_RR028976 and S10_OD027000) from the National Institutes of Health. Use of the Advanced Photon Source was supported by the U. S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. W-31-109-Eng-38. J.S.C. dedicates this work to the loving memory of Yin Y. Choy.
Footnotes
Competing Interests
The authors declare no competing interests
Data Accessibility
The X-ray crystal structures have been deposited into the Protein Data Bank with accession codes 8DDI (E166N Apo) and 8DDM (E166R GC376).
References
- 1.Ng T. I. et al. Antiviral Drug Discovery for the Treatment of COVID-19 Infections. Viruses 14, doi: 10.3390/v14050961 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Jin Z. et al. Structure of M(pro) from SARS-CoV-2 and discovery of its inhibitors. Nature 582, 289–293, doi: 10.1038/s41586-020-2223-y (2020). [DOI] [PubMed] [Google Scholar]
- 3.Chia C. S. B., Xu W. & Shuyi Ng P. A Patent Review on SARS Coronavirus Main Protease (3CL(pro)) Inhibitors. ChemMedChem 17, e202100576, doi: 10.1002/cmdc.202100576 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hung H. C. et al. Discovery of M Protease Inhibitors Encoded by SARS-CoV-2. Antimicrob Agents Chemother 64, doi: 10.1128/AAC.00872-20 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Morse J. W., Gladkikh T. M., Hackenburg D. M. & Gould R. K. COVID-19 and human-nature relationships: Vermonters’ activities in nature and associated nonmaterial values during the pandemic. PLoS One 15, e0243697, doi: 10.1371/journal.pone.0243697 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.FDA. Fact sheet for healthcare providers: Emergency use authorization for Paxlovid, <https://www.fda.gov/media/155050/download.> (2021).
- 7.Owen D. R. et al. An oral SARS-CoV-2 M(pro) inhibitor clinical candidate for the treatment of COVID-19. Science 374, 1586–1593, doi: 10.1126/science.abl4784 (2021). [DOI] [PubMed] [Google Scholar]
- 8.Hammond J. et al. Oral Nirmatrelvir for High-Risk, Nonhospitalized Adults with Covid-19. N Engl J Med 386, 1397–1408, doi: 10.1056/NEJMoa2118542 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Boras B. et al. Preclinical characterization of an intravenous coronavirus 3CL protease inhibitor for the potential treatment of COVID19. Nat Commun 12, 6055, doi: 10.1038/s41467-021-26239-2 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Cully M. A tale of two antiviral targets - and the COVID-19 drugs that bind them. Nat Rev Drug Discov 21, 3–5, doi: 10.1038/d41573-021-00202-8 (2022). [DOI] [PubMed] [Google Scholar]
- 11.CDC. Information for laboratories about Coronavirus (COVID-19). <https://www.cdc.gov/coronavirus/2019-ncov/lab/lab-biosafety-guidelines.html> (2020).
- 12.Zhu W. et al. Identification of SARS-CoV-2 3CL Protease Inhibitors by a Quantitative High-Throughput Screening. ACS Pharmacol Transl Sci 3, 1008–1016, doi: 10.1021/acsptsci.0c00108 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Jochmans D. et al. The substitutions L50F, E166A and L167F in SARS-CoV-2 3CLpro are selected by a protease inhibitor in vitro and confer resistance to nirmatrelvir. bioRxiv, 2022.2006.2007.495116, doi: 10.1101/2022.06.07.495116 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Zhou Y. et al. Nirmatrelvir Resistant SARS-CoV-2 Variants with High Fitness in Vitro. bioRxiv, 2022.2006.2006.494921, doi: 10.1101/2022.06.06.494921 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.V’Kovski P., Kratzel A., Steiner S., Stalder H. & Thiel V. Coronavirus biology and replication: implications for SARS-CoV-2. Nat Rev Microbiol 19, 155–170, doi: 10.1038/s41579-020-00468-6 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kneller D. W. et al. Structural plasticity of SARS-CoV-2 3CL M(pro) active site cavity revealed by room temperature X-ray crystallography. Nat Commun 11, 3202, doi: 10.1038/s41467-020-16954-7 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Sacco M. D. et al. Structure and inhibition of the SARS-CoV-2 main protease reveal strategy for developing dual inhibitors against M(pro) and cathepsin L. Sci Adv 6, doi: 10.1126/sciadv.abe0751 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Fu Z. et al. The complex structure of GRL0617 and SARS-CoV-2 PLpro reveals a hot spot for antiviral drug discovery. Nat Commun 12, 488, doi: 10.1038/s41467-020-20718-8 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Shaqra A. M. et al. Defining the substrate envelope of SARS-CoV-2 main protease to predict and avoid drug resistance. Nat Commun 13, 3556, doi: 10.1038/s41467-022-31210-w (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Matthew A. N. et al. Drug Design Strategies to Avoid Resistance in Direct-Acting Antivirals and Beyond. Chem Rev 121, 3238–3270, doi: 10.1021/acs.chemrev.0c00648 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Xiong M. et al. What coronavirus 3C-like protease tells us: From structure, substrate selectivity, to inhibitor design. Med Res Rev 41, 1965–1998, doi: 10.1002/med.21783 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.MacDonald E. A. et al. Recognition of Divergent Viral Substrates by the SARS-CoV-2 Main Protease. ACS Infect Dis 7, 2591–2595, doi: 10.1021/acsinfecdis.1c00237 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Xue X. et al. Structures of two coronavirus main proteases: implications for substrate binding and antiviral drug design. J Virol 82, 2515–2527, doi: 10.1128/JVI.02114-07 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hu Y. et al. Boceprevir, calpain inhibitors II and XII, and GC-376 have broad-spectrum antiviral activity against coronaviruses in cell culture. bioRxiv, doi: 10.1101/2020.10.30.362335 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Greasley S. E. et al. Structural basis for the in vitro efficacy of nirmatrelvir against SARS-CoV-2 variants. J Biol Chem 298, 101972, doi: 10.1016/j.jbc.2022.101972 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sacco M. D. et al. The P132H mutation in the main protease of Omicron SARS-CoV-2 decreases thermal stability without compromising catalysis or small-molecule drug inhibition. Cell Res 32, 498–500, doi: 10.1038/s41422-022-00640-y (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ullrich S., Ekanayake K. B., Otting G. & Nitsche C. Main protease mutants of SARS-CoV-2 variants remain susceptible to nirmatrelvir. Bioorg Med Chem Lett 62, 128629, doi: 10.1016/j.bmcl.2022.128629 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Li P. et al. SARS-CoV-2 Omicron variant is highly sensitive to molnupiravir, nirmatrelvir, and the combination. Cell Res 32, 322–324, doi: 10.1038/s41422-022-00618-w (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Chang M. W. & Torbett B. E. Accessory mutations maintain stability in drug-resistant HIV-1 protease. J Mol Biol 410, 756–760, doi: 10.1016/j.jmb.2011.03.038 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.De Luca A. in Antiretroviral Resistance in Clinical Practice (ed Geretti A. M.) (2006). [PubMed] [Google Scholar]
- 31.Sa-Correia I. & Godinho C. P. Exploring the biological function of efflux pumps for the development of superior industrial yeasts. Curr Opin Biotechnol 74, 32–41, doi: 10.1016/j.copbio.2021.10.014 (2022). [DOI] [PubMed] [Google Scholar]
- 32.Mukhopadhyay K., Kohli A. & Prasad R. Drug susceptibilities of yeast cells are affected by membrane lipid composition. Antimicrob Agents Chemother 46, 3695–3705, doi: 10.1128/AAC.46.12.3695-3705.2002 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Alalam H. et al. A Genetic Trap in Yeast for Inhibitors of SARS-CoV-2 Main Protease. mSystems 6, e0108721, doi: 10.1128/mSystems.01087-21 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Flynn J. M. et al. Comprehensive fitness landscape of SARS-CoV-2 M(pro) reveals insights into viral resistance mechanisms. Elife 11, doi: 10.7554/eLife.77433 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Padhi A. K. & Tripathi T. Hotspot residues and resistance mutations in the nirmatrelvir-binding site of SARS-CoV-2 main protease: Design, identification, and correlation with globally circulating viral genomes. bioRxiv, 2022.2007.2012.499687, doi: 10.1101/2022.07.12.499687 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Hu Y. et al. Naturally occurring mutations of SARS-CoV-2 main protease confer drug resistance to nirmatrelvir. bioRxiv, 2022.2006.2028.497978, doi: 10.1101/2022.06.28.497978 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Shah S. B. et al. Glucose Signaling Is Connected to Chromosome Segregation Through Protein Kinase A Phosphorylation of the Dam1 Kinetochore Subunit in Saccharomyces cerevisiae. Genetics 211, 531–547, doi: 10.1534/genetics.118.301727 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Pendleton A. L. et al. Lower oxygen consumption and Complex I activity in mitochondria isolated from skeletal muscle of fetal sheep with intrauterine growth restriction. Am J Physiol Endocrinol Metab 319, E67–E80, doi: 10.1152/ajpendo.00057.2020 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Parker S. S. et al. Insulin Induces Microtubule Stabilization and Regulates the Microtubule Plus-end Tracking Protein Network in Adipocytes. Mol Cell Proteomics 18, 1363–1381, doi: 10.1074/mcp.RA119.001450 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Tyanova S. et al. The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat Methods 13, 731–740, doi: 10.1038/nmeth.3901 (2016). [DOI] [PubMed] [Google Scholar]
- 41.Tyanova S. & Cox J. Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research. Methods Mol Biol 1711, 133–148, doi: 10.1007/978-1-4939-7493-1_7 (2018). [DOI] [PubMed] [Google Scholar]
- 42.Huang da W., Sherman B. T. & Lempicki R. A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4, 44–57, doi: 10.1038/nprot.2008.211 (2009). [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The X-ray crystal structures have been deposited into the Protein Data Bank with accession codes 8DDI (E166N Apo) and 8DDM (E166R GC376).