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Hazemann, J.

Publications and source records attributed to Hazemann, J..

2 recordsLinked to original sources

Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic of coronavirus disease (COVID-19) since its emergence in December 2019. As of January 2024, there has been over 774 million reported cases and 7 million deaths worldwide.[1] While vaccination efforts have been successful in reducing the severity of the disease and decreasing the transmission rate, the development of effective therapeutics against SARS-CoV-2 remains a critical need.[2] The main protease (Mpro) of SARS-CoV-2 is an essential enzyme required for viral replication and has been identified as a promising target for drug development. In this study, we report the identification of novel Mpro inhibitors, using a combination of deep reinforcement learning for de novo drug design with 3D pharmacophore/shape-based alignment and privileged fragment match count scoring components followed by hit expansions and molecular docking approaches. Our experimentally validated results show that 3 novel series exhibit potent inhibitory activity against SARS-CoV-2 Mpro, with IC50 values ranging from 1.3 uM to 2.3 uM and a high degree of selectivity. These findings represent promising starting points for the development of new antiviral therapies against COVID-19.

molecular biology↗

Fragment-based screening targeting an open form of the SARS-CoV-2 main protease binding pocket

To identify starting points for therapeutics targeting SARS-CoV-2, the Paul Scherrer Institute and Idorsia decided to collaboratively perform an X-ray crystallographic fragment screen against its main protease. Fragment-based screening was carried out using crystals with a pronounced open conformation of the substrate binding pocket. Of 631 fragments soaked, a total of 29 hits bound either in the active site (24 hits), a remote binding pocket (2 hits) or at crystal packing interfaces (3 hits). Notably, two fragments with a pose sterically incompatible with a more occluded crystal form were identified. Two isatin-based electrophilic fragments bound covalently to the catalytic cysteine residue. Our structures also revealed a surprisingly strong influence of the crystal form on the binding pose of three published fragments used as positive controls, with implications for fragment screening by crystallography. SynopsisAn X-ray crystallographic screen on SARS-CoV-2 3CL protease resulted in 29 fragment hits, including two isatin-based reversible covalent binders, and revealed a strong influence of the crystal form used for fragment soaking on the bound conformation of three additional reference fragments.

biophysics↗