David E. Gloriam
20032020

Research activity per year

Personal profile

CV

Education
2012: Diploma in Research Management, Copenhagen Business School (CBS)
2006: Ph.D. in Medicine, Uppsala University (UU, see ranking), Sweden
2003: M.Sc. in Pharmaceutical Sciences, UU

Positions
2013-: Head of GPCRdb – community resource with 2,500 users/month (gpcrdb.org)
2011-: Group Leader and Associate Professor (gloriamgroup.org), Department of Drug Design and Pharmacology (DDP), University of Copenhagen (UCPH, ranking)
2008-11: Postdoc, DDP
2007-08: Postdoc, GlaxoSmithKline, Harlow, UK
2006-08: Postdoc, EMBL-European Bioinformatics Institute, Hinxton, UK (2nd year 25%)

Awards & honors
2018: Novo Nordisk Foundation Hallas-Møller Ascending Investigator (10M DKK)

2014: ERC Starting Grant (1.5M EUR)
2014: Lundbeck Foundation Fellow (10M DKK)
2013: 1st place in the international GPCR Dock competition (best 5-HT1B receptor model)
2005: First-authored the most downloaded article of the year in BBA - General Subjects

Funding
Recipient (main appl.) of 40 M DKK from external foundations and councils
Currently: European Research Commission, Danish Council for Independent Research, Novo Nordisk Foundation, Lundbeck Foundation and Olle Engkvist Foundation.

Selected scientific and academic activities
2016-: Editor of Scientific Reports (Nature Publishing Group)
2014-: Corresponding member, Intl. Union of Pharmacology Nomenclature Committee
2013- 17: Management committee member of the European Research Network ‘GLISTEN
2012-: Evaluated 5 application for foundations and councils, incl. ERC, NWO, FWO,
2007-: Invited speaker at 18 international meetings.
2006-: Organiser of (total/internat.): Meetings/conf. (3/2), GPCRdb meetings (7/7) and Workshops (7/5)
2006-: Reviewer for 19 international journals, incl. Nature

Publications and bibliometrics
See selected or all recent publications
H-index: 27, Citations: 2,497 (Scopus, see current stats)
Peer-reviewed Articles: 62 whereof 35 (56%) in the last 5 years
Authorships; First: 7, Last: 24, Senior modeller: 34
Other: Book chapter: 2, Popular scientific: 2, Proceedings: 2, Patent: 1

Supervision
See group members and previous members

Short presentation

Research Interests
Popular Scientific Research Profile (video and article)

My group uses computational methods to discover functions, structures and ligands of G protein-coupled receptors (GPCRs) - the most abundant mediators of human signalling and therapeutic responses. 

I have a special interest in the understudied ‘orphan’ receptors having identified novel human GPCRs, several of which now constitute drug targets. My group has applied computational methods to physiological and tool ligands of orphan receptors. (Read more)

I head the GPCRdb web resource which is used by over 2000 GPCR researchers every month. GPCRdb features reference data, analysis tools and visualisation enabling science in the wider GPCR community. (Read more)

Computational drug design guides chemical synthesis and rationalise pharmacological activities. My group has developed new methods for virtual screening, chemogenomics and design of target-directed focused screening libraries. (Read more)

GPCR function by determining structure-function relationships from (big) data analysis. Recent studies have focused on GPCR signaling affecting GPCR-G protein selectivity and genetic variants important for personalized medicine. (Read more)

GPCR crystallography is the newest interest. My group has developed a Construct Design Tool in GPCRdb (test tool) and set up GPCR crystallography and cryo-EM together with structural biologists the most progressed target being serotonin receptors (Read more).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Keywords

  • Faculty of Health and Medical Sciences
  • Drug design
  • Computational Chemistry
  • Computational Modeling
  • Bioinformatics
  • Structural biology

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