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1.
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-393405

RESUMO

The SARS-CoV-2 macrodomain (Mac1) within the non-structural protein 3 (Nsp3) counteracts host-mediated antiviral ADP-ribosylation signalling. This enzyme is a promising antiviral target because catalytic mutations render viruses non-pathogenic. Here, we report a massive crystallographic screening and computational docking effort, identifying new chemical matter primarily targeting the active site of the macrodomain. Crystallographic screening of diverse fragment libraries resulted in 214 unique macrodomain-binding fragments, out of 2,683 screened. An additional 60 molecules were selected from docking over 20 million fragments, of which 20 were crystallographically confirmed. X-ray data collection to ultra-high resolution and at physiological temperature enabled assessment of the conformational heterogeneity around the active site. Several crystallographic and docking fragment hits were validated for solution binding using three biophysical techniques (DSF, HTRF, ITC). Overall, the 234 fragment structures presented explore a wide range of chemotypes and provide starting points for development of potent SARS-CoV-2 macrodomain inhibitors.

2.
- 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 em Inglês | bioRxiv | ID: ppbiorxiv-339317

RESUMO

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.

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