David E. Gloriam

David E. Gloriam


David Gloriam started his research career at Uppsala University where he in 2006 received a PhD degree for the bioinformatic discovery of 24 human receptors and the overall receptor repertoires in dog, mouse, rat and chicken. In 2006-7, he was at the European Molecular Biology Laboratory (EMBL) – Bioinformatics Institute where he developed a global protein informatics standard and data exchange format for protein affinity reagents. In 2007-2008, he made another postdoc at GlaxoSmithKline where he conducted computational drug design and developed chemogenomic methods for ligand/drug discovery. Since late 2008, he has been at the Department of Drug Design and Pharmacology at the University of Copenhagen where his research spans database development, data science and experimental structural biology. In 2019, he became the leader of a Departmental Cluster for GPCR Function and Drug Discovery and in 2020 he joined the steering committee of a Faculty Center for Health Data Science.

He has been awarded a Lundbeck Foundation Fellowship (2014), ERC Starting Grant (2015), Novo Nordisk Foundation Hallas-Møller Ascending Investigator (2018) and Lundbeck Foundation Ascending Investigator (2019). In 2013, he won a global structure modelling competition, GPCR Dock (best apo serotonin 5-HT1B receptor model). In 2013, he was appointed the new leader of his field’s main database, GPCRdb.org, which has evolved to an indispensable research infrastructure serving over 5,000 multidisciplinary scientists each month. In 2017, the Chemical & Engineering News magazine of the American Chemical Society looked back on the past decade of GPCR research featuring GPCRdb along with his landmark publication on receptor drugs, targets and disease indications in Nat Rev Drug Discov (>1,600 citations in Google Scholar). In 2019, he received a full Professorship in Computational Receptor Biology through a rare and exclusive personal calling and was selected for the UCPH Forward Talent Program at the University of Copenhagen. In 2021, he received the prestigious Lars Arge prize for big data from the Royal Danish Academy of Sciences and Letters

Research direction
I consolidate my research on G protein-coupled receptors (GPCRs) – which mediate the effects of 1/3rd (ref) of drugs and 2/3rd of hormones (ref). My group develops computational and data driven methods for interdisciplinary receptor research and drug discovery, spanning:
Biased signalling towards safer drugs and specific signalling probes: Mechanisms and resources to design drugs with higher potency and fewer side effects by steering the receptor signalling onto only beneficial cellular pathways. I recently released an online community Biased Signaling Atlas.
Computational drug design: Identification of druggable molecules for disease-relevant receptors and tool compounds to characterise understudied ‘orphan’ receptors or dissect GPCR signalling pathways.
Data science approaches to uncover receptor function: Discovery of physiological peptide hormones and determinants of receptor activation, effector G protein selectivity, genetic variants etc.
Experimental structural biology: Development of protein engineering tools combined with an in-house laboratory to determine drug-receptor structure complexes.
Online research infrastructure: GPCRdb resources integrating sequence-structure-function to offer reference data, analysis/visualisation, experiment design and data deposition upon publication.
Read more at the web sites of the Gloriam group and the Cluster for GPCR Function and Drug Discovery.

See Web of Science (requires subscription), Scopus and Google scholar.

Selected publications

  1. Published

    GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resources

    Pándy-Szekeres, Gáspár, Caroli, J., Mamyrbekov, A., Kermani, A. A., Keserű, G. M., Kooistra, Albert J. & Gloriam, David E., 2023, In: Nucleic Acids Research. 51, D1, p. D395–D402

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    An online GPCR structure analysis platform

    Kooistra, Albert J., Munk, C., Hauser, Alexander Sebastian & Gloriam, David E., 2021, In: Nature Structural and Molecular Biology. 28, 11, p. 875-878

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    GPCR activation mechanisms across classes and macro/microscales

    Hauser, Alexander Sebastian, Kooistra, Albert J., Munk, C., Heydenreich, F. M., Veprintsev, D. B., Bouvier, M., Babu, M. M. & Gloriam, David E., 2021, In: Nature Structural and Molecular Biology. 28, 11, p. 879-888

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Discovery of Human Signaling Systems: Pairing Peptides to G Protein-Coupled Receptors

    Foster, S. R., Hauser, Alexander Sebastian, Vedel, L., Strachan, R. T., Huang, X., Gavin, A. C., Shah, S. D., Nayak, A. P., Haugaard-Kedström, L. M., Penn, R. B., Roth, B. L., Bräuner, Hans & Gloriam, David E., 31 Oct 2019, In: Cell. 179, 4, p. 895-908

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    An online resource for GPCR structure determination and analysis

    Munk, C., Mutt, E., Isberg, V., Nikolajsen, L. F., Bibbe, J. M., Flock, T., Hanson, M. A., Stevens, R. C., Deupi, X. & Gloriam, David E., 2019, In: Nature Methods. 16, 2, p. 151-162

    Research output: Contribution to journalReviewResearchpeer-review

  6. Published

    Trends in GPCR drug discovery: new agents, targets and indications

    Hauser, Alexander Sebastian, Gloriam, David E., Attwood, M. M., Rask-Andersen, M. & Schiöth, H. B., 27 Oct 2017, In: Nature Reviews. Drug Discovery. 16, p. 829-842 14 p., 178.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 5953796