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Rapid assessment of ligand binding to the SARS-CoV-2 main protease by saturation transfer difference NMR spectroscopy
Anastassia L. Kantsadi; Emma Cattermole; Minos-Timotheos Matsoukas; Georgios A. Spyroulias; Ioannis Vakonakis.
Affiliation
  • Anastassia L. Kantsadi; University of Oxford
  • Emma Cattermole; University of Oxford
  • Minos-Timotheos Matsoukas; University of Patras
  • Georgios A. Spyroulias; University of Patras
  • Ioannis Vakonakis; University of Oxford
Preprint in English | bioRxiv | ID: ppbiorxiv-156679
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiological cause of the coronavirus disease 2019, for which no effective therapeutics are available. The SARS-CoV-2 main protease (Mpro) is essential for viral replication and constitutes a promising therapeutic target. Many efforts aimed at deriving effective Mpro inhibitors are currently underway, including an international open-science discovery project, codenamed COVID Moonshot. As part of COVID Moonshot, we used saturation transfer difference nuclear magnetic resonance (STD-NMR) spectroscopy to assess the binding of putative Mpro ligands to the viral protease, including molecules identified by crystallographic fragment screening and novel compounds designed as Mpro inhibitors. In this manner, we aimed to complement enzymatic activity assays of Mpro performed by other groups with information on ligand affinity. We have made the Mpro STD-NMR data publicly available. Here, we provide detailed information on the NMR protocols used and challenges faced, thereby placing these data into context. Our goal is to assist the interpretation of Mpro STD-NMR data, thereby accelerating ongoing drug design efforts.
License
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Full text: Available Collection: Preprints Database: bioRxiv Type of study: Etiology study / Experimental_studies / Rct Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Etiology study / Experimental_studies / Rct Language: English Year: 2020 Document type: Preprint
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