COVID-19, caused by SARS-CoV-2, lacks effective therapeutics. Additionally, no antiviral drugs or vaccines were developed against the closely related coronavirus, SARS-CoV-1 or MERS-CoV, despite previous zoonotic outbreaks. To identify starting points for such therapeutics, we performed a large-scale screen of electrophile and non-covalent fragments through a combined mass spectrometry and X-ray approach against the SARS-CoV-2 main protease, one of two cysteine viral proteases essential for viral replication. Our crystallographic screen identified 71 hits that span the entire active site, as well as 3 hits at the dimer interface. These structures reveal routes to rapidly develop more potent inhibitors through merging of covalent and non-covalent fragment hits; one series of low-reactivity, tractable covalent fragments were progressed to discover improved binders. These combined hits offer unprecedented structural and reactivity information for on-going structure-based drug design against SARS-CoV-2 main protease.
A novel coronavirus, SARS-CoV-2, the causative agent of COVID-191,2,3, has resulted in over one million confirmed cases and in excess of 300,000 deaths across 188 countries as of mid-May 20204. SARS-CoV-2 is the third zoonotic coronavirus outbreak after the emergence of SARS-CoV-1 in 2002 and the Middle East Respiratory Syndrome (MERS-CoV) in 20125,6,7. SARS-CoV-2 is a large enveloped, positive-sense, single-stranded RNA Betacoronavirus. The viral RNA encodes two open reading frames that, through ribosome frame-shifting, generates two polyproteins pp1a and pp1ab8. These polyproteins produce most of the proteins of the replicase-transcriptase complex9. The polyproteins are processed by two viral cysteine proteases: a papain-like protease (PLpro) which cleaves three sites, releasing non-structural proteins nsp1-3 and a 3C-like protease, also referred to as the main protease (Mpro), that cleaves at 11 sites to release non-structural proteins (nsp4-16). These non-structural proteins form the replicase complex responsible for replication and transcription of the viral genome and have led to Mpro and PLPro being the primary targets for antiviral drug development10.
Structural biology, which can play a key role in drug development, was also rapidly deployed after the 2002 SARS-CoV-1 outbreak, with earlier work by the Hilgenfeld group on Mpro of coronarviruses10 leading to crystal structures of SARS-CoV-1 Mpro and inhibitor complexes11,12,13,14. Active sites of Coronavirus Mpro are well conserved13,15,16,17,18,19, and those of enteroviruses (3Cpro) are functionally similar: this underpins ambitions to develop broad-spectrum antivirals. The most successful have been peptidomimetic α-ketoamide inhibitors20, with at least one potent variant seen as a potential antiviral drug19. Other studies have taken the popular approach of high-throughput screens (HTS) using very large compound libraries, followed by structural studies to elucidate the binding mode21.
Despite these efforts, drugs remain elusive that directly target SARS-CoV-2 (rather than disease symptoms) and are verified by clinical trials. In retrospect, this is perhaps unsurprising for the Mpro inhibitors, as both peptidomimetic and covalent inhibition carry risks as strategies for drug development; in general, the simpler the molecule, the lower the risk.
We therefore applied a different approach to Mpro, using fragment screening by high-throughput structural biology22. Fragment methods have become a staple of modern drug discovery23, using small collections (100 s or 1000 s) of small compounds (<300 Da) that bind promiscuously and thus sample a far larger chemical space than is achieved by HTS. The challenge is that the very weak binding of fragment hits necessitates highly sensitive biophysical detection, careful confirmation of binding and specialised medicinal chemistry expertise to advance hits to potency. Their promise is that potency can be achieved with high efficiency, simplifying the progression of molecules to biological or clinical impact.
While the screening experiment itself has long relied on the high throughput of solution methods like NMR or SPR23, rapid advances in technology and automation at synchrotron radiation sources24 has made screening directly in crystal structures routinely possible at facilities like the XChem platform at Diamond Light Source25,26,27,28. These have been further enhanced by techniques such as mass spectrometry for the discovery of covalently binding fragments29.
In the current study, we screened Mpro of SARS-CoV-2 with over 1250 unique fragments, identifying 74 high-value fragment hits, including 23 non-covalent and 48 covalent hits in the active site, and 3 hits at the vital dimerization interface. Here, these data are detailed along with potential ways forward for rapid follow-up design of improved, more potent, compounds.
Mpro crystallizes in a ligand-free form that diffracts to near-atomic resolution
We report the apo structure of SARS-CoV-2 Mpro with data to 1.25 Å. The construct we crystallised has native residues at both N- and C--terminals, without cloning truncations or appendages which could otherwise interfere with fragment binding. Electron density is present for all residues, including 26 alternate conformations, many of which were absent in previous lower resolution crystal structures. The protein crystallised with a single protein polypeptide in the asymmetric unit, and the catalytic dimer is provided by a symmetry-related molecule. The structure aligns closely with the Mpro structures from SARS-CoV-1 and MERS (rmsd of 0.52 Å and 0.97 Å respectively). The active site is sandwiched between two β-barrel domains, I (residue 10–99) and II (residue 100–182) (Fig. 1a). Domain III (residue 198–306), forms a bundle of alpha helices and is proposed to regulate dimerization30. The C-terminal residues, Cys300-Gln306, wrap against Domain II. However, the C terminal displays a degree of flexibility and wraps around domain III in the N3 inhibitor complex30 (PDB ID 6LU7 [https://doi.org/10.2210/pdb6lu7/pdb]). His41 and Cys145 comprise the catalytic dyad and dimerisation completes the active site by bringing Ser1 of the second dimer protomer into proximity with Glu166 (Fig. 1b). This aids formation of the substrate specificity pocket and the oxyanion hole10. Subsites have previously been identified in the active site based on interactions with peptide-based inhibitors and are shown in Fig. 1b19,31. Comparisons with peptide-based inhibitor complexes19,31 suggest a degree of active site plasticity. In particular, the C-alphas of Met49, Pro168, Gln189 respectively show movements of 2.8 Å, 1.4 Å, and 1.2 Å in comparison to the α-ketoamide inhibitor bound Mpro structure19 (PDB ID 6y2f [https://doi.org/10.2210/pdb6y2f/pdb], Fig. 1c).
The crystal form is well-suited for crystallographic fragment screening: although the percentage of solvent (~20%) is very low for a protein crystal, nevertheless clear channels are present that allow access to the active site through diffusion. Moreover, the tight packing and strong innate diffraction mean crystals are resistant to lattice disruption and degradation of diffraction by DMSO solvent when adding solubilised fragments to the crystallization drop.
Combined MS and crystallographic fragment screens reveal new binders of Mpro
Cysteine proteases are attractive targets for covalent inhibitors, and screening covalent fragments is known to be useful at identifying effective starting points32,33,34,35,36. To identify covalent starting points, we screened our previously described library of ~1000 mild electrophilic fragments29 against Mpro using intact protein mass spectrometry. Standard conditions of 200 µM per electrophile for 24 h at 4 °C did not allow discrimination between hits. Screening at more stringent conditions (5 µM per electrophile; 1.5 h; 25 °C) resulted in 8.5% of the library labelling above 30% of protein (Supplementary Data 1). These hits revealed common motifs, and we focused on compounds that offer promising starting points.
Compounds containing N-chloroacetyl-N´-sulfonamido-piperazine or N-chloroacetylaniline motifs were frequent hitters. Such compounds can be highly reactive. Therefore, we chose series members with relatively low reactivity for follow-up crystallization attempts. For another series of hit compounds, containing a N-chloroacetyl piperidinyl-4-carboxamide motif (Supplementary Data 1) which displays lower reactivity and were not frequent hitters in previous screens, we attempted crystallization despite their absence of labelling in the stringent conditions.
While mild electrophilic fragments are ideal for probing the binding properties around the active site cysteine, their small size prevents extensive exploration of the substrate-binding pocket. We performed an additional crystallographic fragment screen to exhaustively probe the Mpro active site, and to find opportunities for fragment merging or growing. The 68 electrophile fragment hits were added to crystals along with a total of 1176 unique fragments from 7 libraries (Supplementary Table 1). Non-covalent fragments were soaked26, whereas electrophile fragments were both soaked and co-crystallized as previously described29, to ensure that as many of the mass-spectrometry hits as possible were structurally observed. A total of 1742 soaking and 1139 co-crystallization experiments resulted in 1877 mounted crystals. While some fragments either destroyed the crystals or their diffraction, 1638 datasets with a resolution better than 2.8 Å were collected. The best crystals diffracted to better than 1.4 Å, but diffraction to 1.8 Å was more typical, and no datasets worse than 2.8 Å were included in analysis (Supplementary Fig. 2). We identified 96 fragment hits using the PanDDA method37, all of which were deposited in the Protein Data Bank (Supplementary Data 2), but also immediately released through the Diamond Light Source website (https://www.diamond.ac.uk/covid-19.html), along with all protocols and experimental details. A timeline of experiments is shown in Fig. 2.
Non-covalent fragment hits reveal multiple targetable sub-sites in the active site
This unusually large screen identified 23 structurally diverse fragments that bind non-covalently and extensively sample features of the Mpro active site and its specificity pockets/subsites (Fig. 1), along with three hits exploring the dimer interface.
Eight fragments were identified that bind in the S1 subsite and frequently form interactions with the side chains of the key residues His163, through a pyridine ring or similar nitrogen-containing heterocycle, and Glu166 through a carbonyl group in an amide or urea moiety (Fig. 3). Several also reach across into the S2 subsite. Subsite S2 has previously demonstrated greater flexibility in comparison to the other subsites, adapting to smaller substituents in peptide-based inhibitors but with a preference for leucine or other hydrophobic residues19. Many fragments bound at this location, which we termed the “aromatic wheel” because of a consistent motif of an aromatic ring forming hydrophobic interactions with Met49 or π–π stacking with His41, with groups variously placed in 4 axial directions. Particularly notable is the vector into the small pocket between His164, Met165 and Asp187, exploited by three of the fragments (Z1220452176 (x0104), Z219104216 (x0305) and Z509756472 (×1249)) with fluoro and cyano substituents (Fig. 3).
Of the four fragments exploring subsite S3, three contain an aromatic ring with a sulfonamide group forming hydrogen bonds with Gln189 and pointing out of the active site towards the solvent interface (Fig. 3). These hits have expansion vectors suitable for exploiting the same His164/Met165/Asp187 pocket mentioned above.
The experiment revealed one notable conformational variation, which was exploited by one fragment only (Z369936976 (×0397); Fig. 4): a change in the sidechains of the key catalytic residues His41, Cys145 alters the size and shape of subsite S1′ and thus the link to subsite S1. This allows the fragment to bind, uniquely, to both S1 and S1′. In S1, the isoxazole nitrogen hydrogen-bonds to His163, an interaction that features in several other hits; and in S1′, the cyclopropyl group occupies the region sampled by the covalent fragments. Notably, the N-methyl group offers a vector to access the S2 and S3 subsites.
It is established that the biological unit for similar viral proteases such as the SARS-CoV-1 protease is a dimer38, and that mutations at the dimer interface can disrupt proteases activity39,40 even at long range41. Thus, compounds that interfere with dimerization might serve as quasi-allosteric inhibitors of protease activity. In this study three compounds bound at accessible sites of the dimer interface, that conceivably could be exploited to design compounds to disrupt the Mpro dimer.
Fragment Z1849009686 (×1086; Fig. 5a) binds in a hydrophobic pocket formed by the sidechains of Met6, Phe8, Arg298 and Val303. It also mediates two hydrogen bonds to the sidechain of Gln127 and the backbone of Met6. Its binding site is <7 Å away from Ser139, whose mutation to alanine in SARS-CoV-1 protease reduced both dimerization and protease activity by about 50%39,42. Z264347221 (×1187, Fig. 5b) binds similarly in a hydrophobic pocket made by Met6, Phe8 and Arg298 in one of the protomers, extending across the dimer interface to interact with Ser123, Tyr118 and Leu141 of the second protomer, including hydrogen bonds with the sidechain and backbone of Ser123. Finally, POB0073 (x0887; York 3D library; Fig. 5c), binds only 4 Å from Gly2 at the dimer interface and is encased between Lys137 and Val171 of one protomer and Gly2, Arg4, Phe3, Lys5 and Leu282 of the second, including two hydrogen bonds with the backbone of Phe3.
Covalent fragment hits reveal several tractable series
The screen further yielded 48 structures of fragments covalently bound to the nucleophilic active site Cys145, and substrate subsite S1´. The majority (44) fall into series explored in the mass-spectrometry experiment and the remainder came from other libraries.
In all structures with bound electrophiles, the N-chloroacetyl carbonyl oxygen atom forms either two or three hydrogen bonds with the backbone amide hydrogens of Gly143, Ser144 or Cys145 (Fig. 6a–c). All three compounds containing the N-chloroacetyl piperidinyl-4-carboxamide motif (Fig. 6a) adopt a similar binding mode pointing towards the S2 pocket, and one (PCM-0102389, ×1358) is able to form an additional hydrogen bond with the side chain of Asn142.
Compounds with the N-chloroacetyl-N’-sulfonamido-piperazine motif (Fig. 6b) adopt a bent shape, pointing towards the S2 pocket where appropriate space-filling substituents are attached to the phenyl moiety (PCM-0102353 (×1336) and PCM-0102395 (×0774)); otherwise, they point towards the solvent. Most of the latter 8 structures feature a halophenyl moiety which resides closely to Asn142, hinting at weak halogen-mediated interactions43.
Eight compounds with a N-chloroacetyl-N´-carboxamido- and N-chloroacetyl-N´-heterobenzyl-piperazine motif crystallized in one binding mode with respect to the piperazinyl moiety (Fig. 6c) (with one exception, PCM-0102287 (×0830)). Two structures (PCM-0102277 (×1334), PCM-0102169 (×1385)) with a 5-halothiophen-2-ylmethylene moiety exploit lipophilic parts of S2, which is also recapitulated by the thiophenyl moiety in an analogous carboxamide (PCM-0102306 (x1412)). The other five structures point mainly to S2, offering an accessible growth vector towards the nearby S3 pocket.
A series of compounds containing a N-chloroacetyl piperidinyl-4-carboxamide motif showed promising binding modes. To follow-up on these compounds, we performed rapid second-generation compound synthesis. Derivatives of this chemotype were accessible in milligram-scale by the reaction of N-chloroacetyl piperidine-4-carbonyl chloride with various in-house amines, preferably carrying a chromophore to ease purification. These new compounds were tested by intact protein mass-spectrometry to assess protein labelling (5 μM compound; 1.5 h incubation, RT; Supplementary Data 3). Amides derived from non-polar amines mostly outcompeted their polar counterparts, hinting at a targetable lipophilic sub-region in this direction. The two amides with the highest labelling PG-COV-35 and PG-COV-34 (Fig. 6g, h) highlight the potential for further synthetic derivatization by amide N-alkylation or cross-coupling, respectively.
The screen revealed unexpected covalent warheads from the series of 3-bromoprop-2-yn-1-yl amides of N-acylamino acids. Colloquially termed PepLites, this library was developed to map non-covalent interactions of amino acid sidechains in protein-protein interaction hotspots, with the acetylene bromine intended, as for FragLites44,45, as a detection tag by anomalous dispersion in X-ray crystallography. However, bromoalkynes can also act as covalent traps for activated cysteine thiols46 (Fig. 6d).
Two PepLites, containing threonine (NCL-00025058 (×0978)) and asparagine (NCL00025412 (×0981)) bound covalently to the active site cysteine (Cys145), forming a thioenolether via C-2 addition with loss of bromine (Fig. 6e, f). The covalent linkage was unexpected and evidently the result of significant non-covalent interactions, specific to these two PepLites, that position the electrophile group for nucleophilic attack. We note the side-chains make hydrogen-bonding interactions with various backbone NH and O atoms of Thr26 and Thr24; in the case of threonine, it was the minor 2R,3R diastereomer (corresponding to D-allothreonine) that bound. The only other PepLite observed (tyrosine, NCL-00024905 (×0967)) bound non-covalently to a different subsite.
The highlighted structure-activity relationships are important for further optimisation. Bromoalkynes have intrinsic thiol reactivity that is lower than that of established acrylamide-based covalent inhibitors46, which is in general desirable. The geometry of the alkyne and its binding mode also suggest that it could be replaced by reversible covalent groups such as nitriles, which would be guided by the same non-covalent interactions but are better established as cysteine protease inhibitors.
Two covalent hits (2-cyanopyrimidine (Cov_HetLib 030 (×2097)) and 2-cyanoimidazole (Cov_HetLib 053 (×2119) came from a library of small heterocyclic electrophiles47. These are essentially covalent MiniFrags48, comprising five and six-membered nitrogen-containing heterocycles with electron-withdrawing character that activates small electrophilic substituents (halogens, ethylyl, vinyl and nitrile groups).
Both hits bound to Cys145 through an imine (Fig. 6i, j), positioned by a local hydrogen bond network involving imine and heterocyclic N atoms. One of these free amines provides an immediate growth vector towards the catalytic pocket. The compounds have reasonable stability in water49 and limited reactivity against GSH (t1/2 = 2.2 and 52.3 h, respectively), well above suggested reactivity limits50. They are also inactive against various covalent targets (HDAC8, MAO-A, MAO-B, MurA) and benchmark proteins.
The data presented herein provide many clear routes to developing potent inhibitors of Mpro from SARS-CoV-2. The bound fragments comprehensively sample all subsites of the active site, revealing diverse expansion vectors, and the electrophiles provide extensive data, systematic as well as serendipitous, for designing covalent compounds.
It is widely accepted that new small-molecule drugs cannot be developed fast enough to help against COVID-19. Nevertheless, as the pandemic threatens to remain a long-term problem and vaccine candidates do not promise complete and lasting protection, antiviral molecules will remain an important line of defence. Such compounds will also be needed to fight future pandemics10. Our data will accelerate such efforts: therapeutically, through the design of new molecules and to inform ongoing efforts at repurposing existing drugs; and for research, through the development of probe molecules51 to understand viral biology. One example is the observation that fragment Z1220452176 (×0104) is a close analogue of melatonin, although in this case, it is unlikely that melatonin mediates direct antiviral activity through inhibition of Mpro, given its low molecular weight; nevertheless, melatonin is currently in clinical trials to assess its immune-regulatory effects on COVID19 (Clinicaltrials.gov identifier NCT04353128).
In line with the urgency, results were made available online immediately for download. In addition, since exploring 3D data requires specialised tools52,53, hits were made accessible on the Fragalysis webtool (https://fragalysis.diamond.ac.uk) that allows easy exploration of the hits in interactive 3D.
All released models were stringently assessed for reliability. On the one hand, the whole data analysis process necessarily relied heavily on automation that, since its initial testing, has been extensively validated on over 100 experiments at the XChem facility, indicating the processes are robust in generating high-quality atomic models. On the other hand, the final selection of models was by subjective evaluation of the fit of each atomic model to electron density. All models were therefore reviewed by multiple authors prior to release, and a subjective confidence assigned to each (Supplementary Data 2). The evidence used was the unbiased event density generated by the PanDDA method37, which uses multi-dataset averaging to extract signal from electron density that would historically have been considered too noisy to be convincingly interpretable54; accordingly, even ligands with low occupancy (<40%) could be confidently assessed (Supplementary Note 1). Likewise this means that poor diffraction is a common occurrence due to the crystal handling steps required for soaking of fragments. However, for each dataset, the dominant source of noise is low occupancy and not phase bias, since crystals and thus datasets are only subtly different (Supplementary Note 1).
We have previously demonstrated the benefits of merging covalent and non-covalent fragments to make dramatic improvements in potency29. Our dataset offers numerous opportunities and some conservative examples are shown in Fig. 7. These can be expected to result in potent Mpro binders and compound synthesis is ongoing.
Collectively, the covalent hits provide rational routes to inhibitors of low reactivity and high selectivity. Rationally designed covalent drugs are gaining traction, with many recent FDA approvals55,56. Their design is based on very potent non-covalent binding, that allows precise orientation of a low reactivity electrophile, so that formation of the covalent bond is reliant on binding site specificity, with minimal off-target effects57,58,59. For fear of over-reactivity, covalent inhibitors are expunged from high-throughput screening libraries and are typically considered as PAINS compounds60,61,62. The challenge of tuning reactivity, and the danger of reactivity-based artefacts, are considered to be particularly marked for highly reactive nucleophiles such as the catalytic cysteine of many proteases. This is evidenced by the very high hit-rate we saw in our preliminary screen of electrophiles in which more than 150 fragments labelled Mpro by >50%. Robust characterization of the fragments’ reactivity29, and continuous evaluation of general thiol reactivity in the selection of lead series and during hit-to-lead optimization can address this challenge. We note here that most of the electrophiles that we screened (chloroacetamides and acrylamides) form irreversible adducts with the target cysteine, whereas many protease inhibitors contain aldehydes, nitriles and α-ketoamides, that can form reversible covalent bonds.
The scale of this experiment, particularly the diversity of libraries and density of results, likely sets a new benchmark for ensuring a crystal-based fragment screen accelerates progression of hits. Even cursory inspection of the fragment structures indicates a very large “merge space”, i.e., the collection of compounds that can be designed directly from spatial juxtapositions of fragments. Such merges, which can be made to populate all four subsites, might achieve potency synergistically, because the observed interactions can be assumed to be in near-optimal configurations, given how few there are per fragment. A thorough exploration of merge space might be best achieved formulaically, using computational workflows that additionally filter undesirable molecular properties, assess synthetic tractability and predict binding affinity. However, such integrated approaches are not currently available in the public domain. We hope this dataset will help spur their development and testing.
Another promising effort to explore the potential of this premise is the COVID Moonshot project (https://covid.postera.ai/covid), where a selection of merges will be experimentally tested, with data promptly made public. We trust that this resource will enable the development of many new tools, approaches and ultimately viable treatment candidates for COVID19.
The expression vector was constructed with a codon-optimised gene fragment, synthesized by Integrated DNA Technologies, which included in-fusion compatible ends for direct insertion into BamHI-XhoI digested pGEX-6P-1 (Supplementary Table 2). The resulting plasmid yields native N- and C-termini upon 3C protease treatment during the purification. Multiple transformant colonies were used to inoculate a starter culture supplemented with 100 µg/ml Carbenicillin. The culture was then grown to log phase for ~8 h. Ten millilitres of the starter culture was used to inoculate one litre of auto induction medium supplemented with 10 ml of glycerol and 100 µg/ml carbenicillin. The cultures were grown at 37 °C, 200 rpm for 5 h then switched to 18 °C, 200 rpm for 10 h. The cells were harvested by centrifugation and stored at −80 °C
Cells were resuspended in 50 mM Tris pH 8, 300 mM NaCl, 10 mM Imidazole, 0.03 μg/ml Benzonase. The cells were disrupted on a high-pressure homogeniser (3 passes, 30 kpsi, 4 °C). The lysate was clarified by centrifugation at 50,000 × g. The supernatant was then applied to a Nickel-NTA gravity column and washed and eluted with 50 mM Tris pH 8, 300 mM NaCl, and 25–500 mM imidazole pH 8. N-terminal His-tagged HRV 3 C Protease was then added to the eluted protein at 1:10 w/w ratio. The mixture was then dialysed overnight at 4 °C against 50 mM Tris pH 8, 300 mM NaCl, 1 mM TCEP. The following day, the HRV 3 C protease and other impurities were removed from the cleaved target protein by reverse Nickel-NTA. The relevant fractions were concentrated and applied to an S200 16/60 gel filtration column equilibrated in 20 mM Hepes pH 7.5, 50 mM NaCl buffer. The protein was concentrated to 30 mg/ml using a 10 kDa MWCO centrifugal filter device.
Crystallisation and structure determination
Protein was thawed and diluted to 5 mg/ml using 20 mM Hepes pH 7.5, 50 mM NaCl. The sample was centrifuged at 100,000 × g for 15 min. Initial hits were found in well F2 of the Proplex crystallisation screen, 0.2 M LiCl, 0.1 M Tris pH 8, 20% PEG 8 K. These crystals were used to prepare a seed stock by crushing the proteins with a pipette tip, suspending in reservoir solution and vortexing for 60 s in the reservoir solution with ~10 glass beads (1.0 mm diameter, BioSpec products). Adding DMSO to the protein solution to a concentration of 5% and performing microseed matrix screening, many new crystallisation hits were discovered in commercial crystallisation screens. Following optimisation, the final crystallisation condition was 11% PEG 4 K, 6% DMSO, 0.1 M MES pH 6.7 with a seed stock dilution of 1/640. The seeds were prepared from crystals grown in the final crystallisation condition. The drop ratios were 0.15 µl protein, 0.3 µl reservoir solution, 0.05 µl seed stock. Crystals were grown using the sitting drop vapour diffusion method at 20 °C and appeared within 24 h.
Initial diffraction data were collected on beamline I04 at Diamond Light Source on a crystal grown in 0.1 M MES pH 6.5, 5% PEG6K, cryoprotected using 30% PEG400. Data were processed using Dials63 via Xia264. The dataset was phased with the SARS-CoV-2 Mpro in complex with the N3 inhibitor crystal structure (PDB:6LU7 [https://doi.org/10.2210/pdb6lu7/pdb]) using Molrep in CCP4i2. Further datasets were collected on I04-1 at Diamond Light Source on crystals grown using the 0.1 M MES pH 6.5, 15% PEG4K, 5% DMSO condition. To create a high-resolution dataset, datasets from 7 crystals were scaled and merged using Aimless65. Crystal structures were manually rebuilt in Coot66 and refined using Refmac67 and Buster68. This structure is deposited in the PDB under ID 6YB7 [https://doi.org/10.2210/pdb6yb7/pdb].
Electrophile fragment LC/MS screen
2 µM Mpro was incubated in 50 mM Tris pH 8 300 mM NaCl for 1.5 h at 25 °C. For initial electrophile fragment library screen, 30 µl protein with pools of 4–5 electrophile fragments, 7.5 nL each from 20 mM DMSO stocks and for other runs 50 µl protein with 0.5 µl compounds from 0.5 mM DMSO stocks. The reaction was quenched by adding formic acid to 0.4% final concentration. The LC/MS runs were performed on a Waters ACUITY UPLC class H instrument, in positive ion mode using electrospray ionization. UPLC separation used a C4 column (300 Å, 1.7 μm, 21 mm × 100 mm). The column was held at 40 °C and the autosampler at 10 °C. Mobile solution A was 0.1% formic acid in water, and mobile phase B was 0.1% formic acid in acetonitrile. The run flow was 0.4 mL/min with gradient 20% B for 4 min, increasing linearly to 60% B for 2 min, holding at 60% B for 0.5 min, changing to 0% B in 0.5 min, and holding at 0% for 1 min. The mass data were collected on a Waters SQD2 detector with an m/z range of 2 − 3071.98 at a range of 1000–2000 m/z. Raw data were processed using openLYNX and deconvoluted using MaxEnt. For each well, deconvoluted peaks were searched to match either the unlabelled protein, or labelled protein with one or two of the compounds in the well. Labelling percentage for a compound was determined as the % of a specific compound adduct, divided by the overall detected protein species. Peaks whose mass could not be assigned were discarded from the overall labelling calculation. Wells are regarded as “bad wells” if their spectra appeared to be of a degraded protein (low intensity and deformed peak shape) or if after deconvolution there were no clear peaks (high noise levels). No labelling was assigned for bad wells.
Fragments were soaked into crystals by adding dissolved compound directly to the crystallisation drops. The following libraries were screened: the DSipoised library (Enamine), a version of the poised library25; a version of the MiniFrags library48 assembled in-house; the FragLites library45; a library of shape-diverse 3D fragments (“York3D”)69; heterocyclic electrophiles47; and the SpotFinder library. All fragments were in 100% DMSO at varying stock concentrations, detailed at https://www.diamond.ac.uk/Instruments/Mx/Fragment-Screening/Fragment-Libraries.html). In brief, 55 nl of fragment stock solutions in DMSO (DSI-poised, FragLite, PepLites, York 3D, Covalent Heterocylces and SpotFinder all at 500 mM, MiniFrags at 1 M and Cysteine covalent library at 20 mM) were transferred directly to 500 nl crystallisation drops using an ECHO liquid handler giving a final compound concentration of 2–100 mM and DMSO concentration of 10%. Drops were incubated at room temperature for ~1 h prior to mounting and flash cooling in liquid nitrogen without the addition of further cryoprotectant.
Electrophile fragments identified by mass spectrometry were soaked by the same procedure as the other libraries, but in addition, they were also co-crystallised in the same crystallisation condition as for the apo structure. The protein was incubated with 10–20-fold excess compound (molar ratio) for ~1 h prior to the addition of the seeds and reservoir solution (following Resnick et al.29).
Data were collected at the beamline I04-1 at 100 K and processed with the fully automated pipelines at Diamond63,70,71, which variously combine XDS72, xia264, autoPROC73 and DIALS63, and select resolution limits algorithmically; no manual curation of processing parameters was applied. Further analysis was performed through XChemExplorer27: for each dataset, the version of processed data was selected by the default XChemExplorer score, and electron density maps were generated with Dimple74. Ligand-binding events were identified using PanDDA37 (both the released version 0.2 and a pre-release development version (https://github.com/ConorFWild/pandda)), and ligands were modelled into PanDDA-calculated event maps using Coot66. Restraints were calculated with ACEDRG or GRADE75,76, structures were refined with Refmac67 and Buster68, and models and quality annotations cross-reviewed. Further elaboration of the PanDDA analysis is provided in the Supplementary Note 1.
Coordinates, structure factors and PanDDA event maps for all data sets are deposited in the Protein Data Bank under group deposition ID G_1002135, G_1002151, G_1002152, G_1002153, G_1002156 and G_1002157. Data collection and refinement statistics are summarised in Supplementary Data 4. The ground-state structure and all corresponding datasets are deposited under PDB ID 5R8T [https://doi.org/10.2210/pdb5r8t/pdb].
Synthesis of N-chloroacetyl-piperidine-4-carboxamides
N-chloroacetyl piperidine-4-carbonyl chloride was prepared as a stock solution in dry DCM under an atmosphere of N2. In brief, deprotecting N-Boc isonepecotic acid in 50% TFA in DCM (v/v) at RT for 2 h yielded the corresponding TFA salt after evaporation of all volatiles. The crude TFA salt was then re-dissolved in DCM, treated with Et3N (2 equiv.), followed by the addition of chloroacetic anhydride (1 equiv.). The reaction mixture was stirred overnight at RT, washed with water, the organic phase dried over MgSO4, filtered, and all volatiles removed by rotary evaporation. The crude N-chloroacetyl piperidine-4-carboxylic acid was refluxed in excess neat SOCl2 (gas evolution and a colour change to red occurs) for 1 h, followed by removal of excess SOCl2 in vacuum into a liquid nitrogen-cooled trap. The remaining residue was dried by rotary evaporation, placed under an atmosphere of nitrogen and dissolved in dry DCM to give a stock solution of ~0.489 M (based on theoretical yield over three steps), which was immediately used.
The corresponding amides were prepared by the addition of the acid chloride (1 equiv.) as a DCM solution to the pertinent amines (1 equiv.) in presence of pyridine (1 equiv.) in DCM. Heterogeneous reaction mixtures were treated with a minimal amount of dry DMF to achieve full solubility. After stirring the reaction mixtures overnight, the solvents were removed in by rotary evaporation, re-dissolved in 50% aq. MeCN (and a minimal amount of DMSO to achieve higher solubility), followed by purification by (semi-)preparative RP-HPLC in mass-directed automatic mode or manually.
Synthesis of PepLites
HATU (1.5 equiv.), DIPEA (3.0 equiv.) and the acid starting material (1.5 equiv.) were dissolved in DMF (3–6 mL) and stirred together at room temperature for 10 min. 3-Bromoprop-2-yn-1-amine hydrochloride was added and the reaction mixture was stirred at 40 °C overnight. The reaction mixture was allowed to cool to room temperature, diluted with EtOAc or DCM and washed with saturated aqueous sodium bicarbonate solution, brine and water. The organic layer was dried over MgSO4, filtered and evaporated to afford crude product. The crude product was then purified by either normal or reverse-phase chromatography.
A solution of KOH (2.7 g, 48 mmol) in water (15 mL) was added dropwise to a solution of N-bocpropargylamine (3.0 g, 19 mmol) in MeOH (45 mL) at 0 °C under nitrogen. The resulting solution was stirred at 0 °C for 10 min then bromine (1.1 mL, 21 mmol) was added dropwise. The reaction mixture was allowed to warm to room temperature and was stirred at room temperature for 24 h. The reaction mixture was diluted with water and extracted with diethyl ether. The organic extracts were combined, dried over MgSO4 and evaporated to afford crude product. The crude product was purified by flash silica chromatography, elution gradient 0–10% EtOAc in petroleum ether. Pure fractions were evaporated to dryness to afford tert-Butyl (3-bromoprop-2-yn-1-yl)carbamate (3.5 g, 79%) as a white solid. Rf = 0.34 (10% EtOAC in petroleum ether); m.p. 108–110 °C; IR νmax (cm−1) 3345, 2982, 2219, 2121, 2082; 1H NMR (500 MHz, DMSO-d6) δ 1.39 (s), 3.76 (d, J = 5.9 Hz), 7.30 (d, J = 6.1 Hz); 13C NMR (126 MHz, DMSO-d6) δ 28.63, 30.89, 43.44, 78.46, 78.81, 155.69; LCMS m/z ES+ [M-Boc+H]+ 133.9; HRMS calcd for C8H1279BrNO2 255.9949 [M(Br)+Na]+ found 256.0209.
tert-Butyl (3-bromoprop-2-yn-1-yl)carbamate (1.1 g, 4.7 mmol) was dissolved in 4 M HCl in dioxane (30 mL). The reaction mixture was stirred at room temperature for 2 h then evaporated to dryness to afford 3-bromoprop-2-yn-1-amine hydrochloride (0.79 g, 99%) as a yellow solid. m.p. 169 °C; IR νmax (cm−1) 2856, 2629, 2226, 2121, 2074; 1H NMR (500 MHz, DMSO-d6) δ 3.78 (s, 2H), 8.48 (s, 3H); 13C NMR (126 MHz, DMSO-d6) δ 29.69, 49.38, 73.90; LCMS m/z ES+ [M + H]+ 134.0; HRMS calcd for C3H579BrN 1339605 [M(Br)+H]+ found 133.9598.
(2S, 3S)-2-Acetamido-N-(3-bromoprop-2-yn-1-yl)-3-(tert-butoxy)butanamide was synthesized according to General procedure A using (2S,3R)-2-acetamido-3-(tert-butoxu)butanoic acid (0.41 g, 1.9 mmol). The crude product was purified by flash silica chromatography, elution gradient 0–10% MeOH in DCM. Pure fractions were evaporated to dryness to afford (2S, 3S)-2-acetamido-N-(3-bromoprop-2-yn-1-yl)-3-(tert-butoxy)butanamide (0.20 g, 42%) as a white solid. Rf = 0.46 (10% MeOH in DCM); mp: 180–183 °C; IR νmax (cm−1) 3271, 3078, 2969, 2935, 2222, 2113; 1H NMR (500 MHz, Methanol-d4) δ 1.16 (d, J = 6.2, 5.0 Hz), 1.21 (s, J = 3.9 Hz, 9H), 2.01 (s, 3H), 3.91–4.09 (m, 3H), 4.32 (d, J = 7.5 Hz, 1H); 13C NMR (126 MHz, Methanol-d4) δ 18.61, 21.15, 27.27, 28.90, 41.92, 58.81, 67.21, 74.16, 75.57, 171.19, 171.92; LCMS m/z ES + [M + H] + 333.2; HRMS calcd for C13H2179BrN2O3 333.2260 [M(Br)+H]+ found 333.0808.
(2S,3R)-2-Acetamido-N-(3-bromoprop-2-yn-1-yl)-3-hydroxybutanamide (threonine PepLite)
(2S,3S)-2-Acetamido-N-(3-bromoprop-2-yn-1-yl)-3-(tert-butoxy)butanamide (80 mg, 0.24 mmol) was dissolved in anhydrous DCM (20 mL) and TFA (10 mL) and 0 °C under nitrogen. The reaction mixture was allowed to warm to room temperature and was stirred at room temperature for 3 h then evaporated to dryness to afford crude product. The crude product was purified by flash silica chromatography, elution gradient 0–15% MeOH in DCM. Pure fractions were evaporated to dryness to afford (2S,3S)-2-acetamido-N-(3-bromoprop-2-yn-1-yl)-3-hydroxybutanamide (38 mg, 57%, 93% de) as a white solid. Rf = 0.34 (10% MeOH in DCM); mp: 189–192 °C; IR νmax (cm−1) 3280, 3085, 2973, 2924, 2225, 2115; 1H NMR (500 MHz, Methanol-d4) δ 1.21 (d, J = 6.4 Hz, 3H), 2.03 (s, 3H), 3.97 – 4.06 (m, 3H), 4.33 (d, J = 6.5 Hz, 1H); 13C NMR (126 MHz, Methanol-d4) δ 18.21, 21.13, 29.00, 41.79, 58.69, 67.11, 75.41, 170.88, 172.00; LCMS m/z ES+ [M + H]+ 277.1; HRMS calcd for C9H1379BrN2O3 277.1180 [M(Br)+H]+ found 277.0182.
(S)-2-Acetamido-N1-(3-bromoprop-2-yn-1-yl)succinimide (asparagine PepLite)
(S)-2-Acetamido-N1-(3-bromoprop-2-yn-1-yl)succinamide was synthesized according to General procedure A using (s)-2-acetamido-5-amino-5-oxobutanoic acid (155 mg, 0.89 mmol) and evaporating the reaction mixture to afford the crude product without aqueous work-up. The crude product was purified by flash silica chromatography, elution gradients 0–10% MeOH in DCM. Pure fractions were evaporated to dryness to afford (S)-2-acetamido-N1-(3-bromoprop-2-yn-1-yl)succinamide (50 mg, 30%) as a white solid. Rf = 0.18 (10% MeOH in DCM); mp: 173 °C (decomp); IR νmax (cm−1) 3421, 3277, 3208, 3072, 2922, 2226, 2116; 1H NMR (500 MHz, Methanol-d4) δ 1.99 (s, 3H), 2.58–2.75 (m, 2H), 3.98 (d, J = 1.4 Hz, 2H), 4.71 (dd, J = 7.6, 5.7 Hz, 1H); 13 C NMR (126 MHz, Methanol-d4) δ 22.57, 30.61, 37.83, 43.13, 51.54, 76.84, 173.04, 173.28, 174.81; LCMS m/z ES+ [M + H]+ 290.2; HRMS calcd for C9H1279BrN3O3 290.1170 [M(Br)+H]+ found 290.2265.
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The coordinates and structure factors have been deposited in the Protein Data Bank. The accession codes are listed in Supplementary Data 2. Other data are available from the corresponding authors upon reasonable request.
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We thank all the staff of Diamond Light Source for providing support and encouragement which allowed us to carry out this work during the COVID-19 lockdown. We also thank the Diamond MX group for their support and expertise, in particular David Aragão, Ralf Flaig, Dave Hall, Katherine McAuley and Mark Williams. We thank Clemens Vonrhein of GlobalPhasing for independent validation of the initially deposited models. We are grateful to AstraZeneca, Astex Pharmaceuticals, Lilly, Pfizer and Vernalis, University of York (T.D.D. and S.P.J.) and the EU (Horizon 2020 program, Marie Skłodowska-Curie grant agreement No. 675899, FRAGNET) (AK and HFK) for support. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada, Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA Darmstadt Germany, MSD, Novartis Pharma AG, Ontario Ministry of Economic Development and Innovation, Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome [106169/ZZ14/Z]. N.L. is the incumbent of the Alan and Laraine Fischer Career Development Chair. N.L. would like to acknowledge funding from the Israel Science Foundation (grant no. 2462/19), The Israel Cancer Research Fund, the Israeli Ministry of Science Technology (grant no. 3-14763), the Moross Integrated Cancer Center and the Barry Sherman institute for Medicinal Chemistry. This research was supported by Nelson P. Sirotsky. N.L. is also supported by the Helen and Martin Kimmel Center for Molecular Design, Joel and Mady Dukler Fund for Cancer Research, the Estate of Emile Mimran and Virgin JustGiving, and the George Schwartzman Fund. FvD and GMK are grateful for the support of the Foreign Commonwealth and Development Office (UK). ABP received a Postdoctoral Fellowship from the Hungarian Science Foundation (PD124598).
The authors declare no competing interests.
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Douangamath, A., Fearon, D., Gehrtz, P. et al. Crystallographic and electrophilic fragment screening of the SARS-CoV-2 main protease. Nat Commun 11, 5047 (2020). https://doi.org/10.1038/s41467-020-18709-w
Unveiling the molecular mechanism of SARS-CoV-2 main protease inhibition from 137 crystal structures using algebraic topology and deep learning
Chemical Science (2020)
Nature Communications (2020)