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1.
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-512927

RESUMEN

A series of SARS-CoV-2 variants of concern (VOCs) have evolved in humans during the COVID-19 pandemic--Alpha, Beta, Gamma, Delta, and Omicron. Here, we used global proteomic and genomic analyses during infection to understand the molecular responses driving VOC evolution. We discovered VOC-specific differences in viral RNA and protein expression levels, including for N, Orf6, and Orf9b, and pinpointed several viral mutations responsible. An analysis of the host response to VOC infection and comprehensive interrogation of altered virus-host protein-protein interactions revealed conserved and divergent regulation of biological pathways. For example, regulation of host translation was highly conserved, consistent with suppression of VOC replication in mice using the translation inhibitor plitidepsin. Conversely, modulation of the host inflammatory response was most divergent, where we found Alpha and Beta, but not Omicron BA.1, antagonized interferon stimulated genes (ISGs), a phenotype that correlated with differing levels of Orf6. Additionally, Delta more strongly upregulated proinflammatory genes compared to other VOCs. Systematic comparison of Omicron subvariants revealed BA.5 to have evolved enhanced ISG and proinflammatory gene suppression that similarly correlated with Orf6 expression, effects not seen in BA.4 due to a mutation that disrupts the Orf6-nuclear pore interaction. Our findings describe how VOCs have evolved to fine-tune viral protein expression and protein-protein interactions to evade both innate and adaptive immune responses, offering a likely explanation for increased transmission in humans. One sentence summarySystematic proteomic and genomic analyses of SARS-CoV-2 variants of concern reveal how variant-specific mutations alter viral gene expression, virus-host protein complexes, and the host response to infection with applications to therapy and future pandemic preparedness.

2.
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-476685

RESUMEN

Variants of SARS-CoV-2 have become a major public health concern due to increased transmissibility, and escape from natural immunity, vaccine protection, and monoclonal antibody therapeutics. The highly transmissible Omicron variant has up to 32 mutations within the spike protein, many more than previous variants, heightening these concerns of immune escape. There are now multiple antiviral therapeutics that have received approval for emergency use by the FDA and target both the SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) and the main protease (Mpro), which have accumulated fewer mutations in known SARS-CoV-2 variants. Here we test nirmatrelvir (PF-07321332), and other clinically relevant SARS-CoV-2 antivirals, against a panel of SARS-CoV-2 variants, including the novel Omicron variant, in live-virus antiviral assays. We confirm that nirmatrelvir and other clinically relevant antivirals all maintain activity against all variants tested, including Omicron.

3.
Preprint en Inglés | medRxiv | ID: ppmedrxiv-21257505

RESUMEN

Plitidepsin is a marine-derived cyclic-peptide that inhibits SARS-CoV-2 replication at low nanomolar concentrations by the targeting of host protein eEF1A (eukaryotic translation-elongation-factor-1A). We evaluated a model of intervention with plitidepsin in hospitalized COVID-19 adult patients where three doses were assessed (1.5, 2 and 2.5 mg/day for 3 days, as a 90-minute intravenous infusion) in 45 patients (15 per dose-cohort). Treatment was well tolerated, with only two Grade 3 treatment-related adverse events observed (hypersensitivity and diarrhea). The discharge rates by Days 8 and 15 were 56.8% and 81.8%, respectively, with data sustaining dose-effect. A mean 4.2 log10 viral load reduction was attained by Day 15. Improvement in inflammation markers was also noted in a seemingly dose-dependent manner. These results suggest that plitidepsin impacts the outcome of patients with COVID-19. One-Sentence SummaryPlitidepsin, an inhibitor of SARS-Cov-2 in vitro, is safe and positively influences the outcome of patients hospitalized with COVID-19.

4.
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-427991

RESUMEN

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in millions of deaths worldwide and massive societal and economic burden. Recently, a new variant of SARS-CoV-2, known as B.1.1.7, was first detected in the United Kingdom and is spreading in several other countries, heightening public health concern and raising questions as to the resulting effectiveness of vaccines and therapeutic interventions. We and others previously identified host-directed therapies with antiviral efficacy against SARS-CoV-2 infection. Less prone to the development of therapy resistance, host-directed drugs represent promising therapeutic options to combat emerging viral variants as host genes possess a lower propensity to mutate compared to viral genes. Here, in the first study of the full-length B.1.1.7 variant virus, we find two host-directed drugs, plitidepsin (aplidin; inhibits translation elongation factor eEF1A) and ralimetinib (inhibits p38 MAP kinase cascade), as well as remdesivir, to possess similar antiviral activity against both the early-lineage SARS-CoV-2 and the B.1.1.7 variant, evaluated in both human gastrointestinal and lung epithelial cell lines. We find that plitidepsin is over an order of magnitude more potent than remdesivir against both viruses. These results highlight the importance of continued development of host-directed therapeutics to combat current and future coronavirus variant outbreaks.

5.
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-422511

RESUMEN

Effective control of COVID-19 requires antivirals directed against SARS-CoV-2 virus. Here we assess ten available HCV protease inhibitor drugs as potential SARS-CoV-2 antivirals. There is a striking structural similarity of the substrate binding clefts of SARS- CoV-2 Mpro and HCV NS3/4A proteases, and virtual docking experiments show that all ten HCV drugs can potentially bind into the Mpro binding cleft. Seven of these HCV drugs inhibit SARS-CoV-2 Mpro protease activity, while four dock well into the PLpro substrate binding cleft and inhibit PLpro protease activity. These same seven HCV drugs inhibit SARS-CoV-2 virus replication in Vero and/or human cells, demonstrating that HCV drugs that inhibit Mpro, or both Mpro and PLpro, suppress virus replication. Two HCV drugs, simeprevir and grazoprevir synergize with the viral polymerase inhibitor remdesivir to inhibit virus replication, thereby increasing remdesivir inhibitory activity as much as 10-fold. HighlightsO_LISeveral HCV protease inhibitors are predicted to inhibit SARS-CoV-2 Mpro and PLpro. C_LIO_LISeven HCV drugs inhibit Mpro enzyme activity, four HCV drugs inhibit PLpro. C_LIO_LISeven HCV drugs inhibit SARS-CoV-2 replication in Vero and/or human cells. C_LIO_LIHCV drugs simeprevir and grazoprevir synergize with remdesivir to inhibit SARS- CoV-2. C_LI eTOC blurbBafna, White and colleagues report that several available hepatitis C virus drugs inhibit the SARS-CoV-2 Mpro and/or PLpro proteases and SARS-CoV-2 replication in cell culture. Two drugs, simeprevir and grazoprevir, synergize with the viral polymerase inhibitor remdesivir to inhibit virus replication, increasing remdesivir antiviral activity as much as 10-fold. O_FIG O_LINKSMALLFIG WIDTH=185 HEIGHT=200 SRC="FIGDIR/small/422511v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@1c12181org.highwire.dtl.DTLVardef@7ed993org.highwire.dtl.DTLVardef@1fe56aaorg.highwire.dtl.DTLVardef@ebc34e_HPS_FORMAT_FIGEXP M_FIG C_FIG

6.
- The COVID Moonshot Initiative; Hagit Achdout; Anthony Aimon; Elad Bar-David; Haim Barr; Amir Ben-Shmuel; James Bennett; Vitaliy A. Bilenko; Vitaliy A. Bilenko; Melissa L. Boby; Bruce Borden; Gregory R. Bowman; Juliane Brun; Sarma BVNBS; Mark Calmiano; Anna Carbery; Daniel Carney; Emma Cattermole; Edcon Chang; Eugene Chernyshenko; John D. Chodera; Austin Clyde; Joseph E. Coffland; Galit Cohen; Jason Cole; Alessandro Contini; Lisa Cox; Milan Cvitkovic; Alex Dias; Kim Donckers; David L. Dotson; Alice Douangamath; Shirly Duberstein; Tim Dudgeon; Louise Dunnett; Peter K. Eastman; Noam Erez; Charles J. Eyermann; Mike Fairhead; Gwen Fate; Daren Fearon; Oleg Fedorov; Matteo Ferla; Rafaela S. Fernandes; Lori Ferrins; Richard Foster; Holly Foster; Ronen Gabizon; Adolfo Garcia-Sastre; Victor O. Gawriljuk; Paul Gehrtz; Carina Gileadi; Charline Giroud; William G. Glass; Robert Glen; Itai Glinert; Andre S. Godoy; Marian Gorichko; Tyler Gorrie-Stone; Ed J. Griffen; Storm Hassell Hart; Jag Heer; Michael Henry; Michelle Hill; Sam Horrell; Victor D. Huliak; Matthew F.D. Hurley; Tomer Israely; Andrew Jajack; Jitske Jansen; Eric Jnoff; Dirk Jochmans; Tobias John; Steven De Jonghe; Anastassia L. Kantsadi; Peter W. Kenny; J. L. Kiappes; Serhii O. Kinakh; Lizbe Koekemoer; Boris Kovar; Tobias Krojer; Alpha Lee; Bruce A. Lefker; Haim Levy; Ivan G. Logvinenko; Nir London; Petra Lukacik; Hannah Bruce Macdonald; Beth MacLean; Tika R. Malla; Tatiana Matviiuk; Willam McCorkindale; Briana L. McGovern; Sharon Melamed; Kostiantyn P. Melnykov; Oleg Michurin; Halina Mikolajek; Bruce F. Milne; Aaron Morris; Garrett M. Morris; Melody Jane Morwitzer; Demetri Moustakas; Aline M. Nakamura; Jose Brandao Neto; Johan Neyts; Luong Nguyen; Gabriela D. Noske; Vladas Oleinikovas; Glaucius Oliva; Gijs J. Overheul; David Owen; Ruby Pai; Jin Pan; Nir Paran; Benjamin Perry; Maneesh Pingle; Jakir Pinjari; Boaz Politi; Ailsa Powell; Vladimir Psenak; Reut Puni; Victor L. Rangel; Rambabu N. Reddi; St Patrick Reid; Efrat Resnick; Emily Grace Ripka; Matthew C. Robinson; Ralph P. Robinson; Jaime Rodriguez-Guerra; Romel Rosales; Dominic Rufa; Kadi Saar; Kumar Singh Saikatendu; Chris Schofield; Mikhail Shafeev; Aarif Shaikh; Jiye Shi; Khriesto Shurrush; Sukrit Singh; Assa Sittner; Rachael Skyner; Adam Smalley; Bart Smeets; Mihaela D. Smilova; Leonardo J. Solmesky; John Spencer; Claire Strain-Damerell; Vishwanath Swamy; Hadas Tamir; Rachael Tennant; Warren Thompson; Andrew Thompson; Susana Tomasio; Igor S. Tsurupa; Anthony Tumber; Ioannis Vakonakis; Ronald P. van Rij; Laura Vangeel; Finny S. Varghese; Mariana Vaschetto; Einat B. Vitner; Vincent Voelz; Andrea Volkamer; Frank von Delft; Annette von Delft; Martin Walsh; Walter Ward; Charlie Weatherall; Shay Weiss; Kris M. White; Conor Francis Wild; Matthew Wittmann; Nathan Wright; Yfat Yahalom-Ronen; Daniel Zaidmann; Hadeer Zidane; Nicole Zitzmann.
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-339317

RESUMEN

The COVID-19 pandemic is a stark reminder that a barren global antiviral pipeline has grave humanitarian consequences. Future pandemics could be prevented by accessible, easily deployable broad-spectrum oral antivirals and open knowledge bases that derisk and accelerate novel antiviral discovery and development. Here, we report the results of the COVID Moonshot, a fully open-science structure-enabled drug discovery campaign targeting the SARS-CoV-2 main protease. We discovered a novel chemical scaffold that is differentiated from current clinical candidates in terms of toxicity, resistance, and pharmacokinetics liabilities, and developed it into noncovalent orally-bioavailable nanomolar inhibitors with clinical potential. Our approach leveraged crowdsourcing, high-throughput structural biology, machine learning, and exascale molecular simulations. In the process, we generated a detailed map of the structural plasticity of the main protease, extensive structure-activity relationships for multiple chemotypes, and a wealth of biochemical activity data. In a first for a structure-based drug discovery campaign, all compound designs (>18,000 designs), crystallographic data (>500 ligand-bound X-ray structures), assay data (>10,000 measurements), and synthesized molecules (>2,400 compounds) for this campaign were shared rapidly and openly, creating a rich open and IP-free knowledgebase for future anti-coronavirus drug discovery.

7.
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-352666

RESUMEN

The novel SARS-CoV-2 virus emerged in December 2019 and has few effective treatments. We applied a computational drug repositioning pipeline to SARS-CoV-2 differential gene expression signatures derived from publicly available data. We utilized three independent published studies to acquire or generate lists of differentially expressed genes between control and SARS-CoV-2-infected samples. Using a rank-based pattern matching strategy based on the Kolmogorov-Smirnov Statistic, the signatures were queried against drug profiles from Connectivity Map (CMap). We validated sixteen of our top predicted hits in live SARS-CoV-2 antiviral assays in either Calu-3 or 293T-ACE2 cells. Validation experiments in human cell lines showed that 11 of the 16 compounds tested to date (including clofazimine, haloperidol and others) had measurable antiviral activity against SARS-CoV-2. These initial results are encouraging as we continue to work towards a further analysis of these predicted drugs as potential therapeutics for the treatment of COVID-19.

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