Author

Daniel Ritz

Idorsia Pharmaceuticals Ltd (Switzerland)ORCID 0000-0001-6177-5457Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Mac SweeneyiD· 2 shared Geoffroy Bourquin· 2 shared Julien HazemanniD· 2 shared Roland Lange· 2 shared A. MetziD· 1 shared Alain ChamboveyiD· 1 shared Céline Potot· 1 shared Chia‐Ying HuangiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

A. Mac SweeneyORCID

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2 papers

Recent·Most cited

BiophysicsActa Crystallographica Section D Structural BiologyPeer-reviewedJan 18, 2024

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

Chia‐Ying Huang, A. Metz, Roland Lange…·A. Mac Sweeney

This study identifies 29 fragment hits against SARS-CoV-2 main protease using X-ray crystallography, including two covalent binders, and shows crystal form affects fragment binding poses.

17 citations

experimental assaydrug response / drug discovery

𝕏 PostBluesky

Molecular BiologyRSC Medicinal ChemistryPeer-reviewedJan 1, 2024

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

Julien Hazemann, Thierry Kimmerlin, Roland Lange…·Paul Czodrowski

This study identifies novel SARS-CoV-2 Mpro inhibitors using deep reinforcement learning and computational chemistry methods, showing potent inhibitory activity with IC50 values between 1.3 and 2.3 uM.

12 citations

deep learningdrug response / drug discovery

𝕏 PostBluesky