Author

David E.I. Gloriam

University of CopenhagenORCID 0000-0002-4299-7561Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Albert J. KooistraiD· 1 shared Allan Grønlund· 1 shared Anders Dyhr Norlov· 1 shared Binghan XiaoiD· 1 shared Christian Flohr Nielsen· 1 shared Daniel Kongsgaard· 1 shared Daniela DolciamiiD· 1 shared Gáspár Pándy‐SzekeresiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBiophysics

Albert J. KooistraORCID

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2 papers

Recent·Most cited

BiophysicsJournal of Chemical Information and ModelingPeer-reviewedAug 18, 2026

Unlocking Scalable Ligand Residence Time Predictions with Koffee Unbinding Kinetics Simulations

Niels Kristian Madsen, Robert M. Ziolek, Daniel Kongsgaard…·Nikolaj Thomas Zinner

This paper introduces Koffee Unbinding Kinetics, a method for fast, scalable prediction of ligand-protein residence times to improve drug discovery.

DOI 10.1021/acs.jcim.6c01781

deep learningstatistical model

𝕏 PostBluesky

Pharmacology & Toxicologynpj Drug Discovery.Peer-reviewedJul 23, 2025

An online GPCR drug discovery resource

Jimmy Caroli, Søren Norge Andreassen, Javier Sánchez Lorente…·David E.I. Gloriam

The paper introduces an online resource for GPCR drugs, clinical trial agents, and disease indications to aid in drug discovery and target prioritization.

11 citations

experimental assaydrug response / drug discovery

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