PhD
Within the field of medicinal chemistry, my research focuses on computational chemistry and molecular modeling, where various computational techniques are employed to describe (interactions between) ligands and receptors. I have worked with GPCR receptors (α1 and 5-HT2A) and ligand-gated ion channels (iGluR2 and GABAA), and my experience with computational tools include normal mode analysis, molecular dynamics, docking, QM calculations, and pharmacophore, QSAR and homology modeling.
Title
Computational studies on GABAA receptors with focus on protein flexibility and design of subtype selective ligands
Background
γ-aminobutyric acid (GABA) is the main inhibitory neurotransmitter in the CNS, and its effects are mediated primarily through the GABAA receptors, which belong to the family of Cys-loop receptors. This receptor family, which also comprises the nicotinic acetylcholine (nAChR), 5-HT3, glycine, and GABAC receptors, are all membrane bound ligand gated ion channels made up of five subunits that may be identical (for e.g. the α7 and GABAC receptors) or different (for e.g. GABAA and the nAChRs found in muscle tissue).
For the GABA receptors 19 subunit isoforms have been identified: α1-6, β1-3, γ1-3, δ, ε, θ, and π, plus the ρ1-3 subunits that co-assemble to form GABAC receptors. Probably the most common subunit assembly in the human brain is two α1, two β2 and one γ2.

Only limited structural knowledge of the Cys-loop receptors exists, namely the 4Å resolution electron microscopy of a nAChR from an electric ray (1) and the recently published crystal structure of the ligand binding domain of the mouse nAChR α1 subunit (2). However, the ACh binding protein (AChBP) isolated from snails, which resembles the pentameric structure of the ligand binding domain of Cys-loop receptors, has been crystallized with various nAChR ligands and toxins, and detailed X-ray structures hereof have been published (e.g. refs. 3-6).
Based on primarily the AChBP structures, I will build homology models of the most common GABAA receptor subtype(s), and using the computational techniques Normal Mode Analysis (NMA) and Molecular Dynamics (MD) the flexibility of these will be modeled. The receptor models will be used in collaboration with the medicinal chemistry group (Bente Frølund and Mogens Nielsen) to design new GABAA ligands to be synthesized and tested, and with the molecular pharmacology group (Anders A. Jensen and Marianne L. Bergmann) to understand and make suggestions to new mutational studies.
In addition, a stay at the University of California, San Diego, in the group of professor J. Andrew McCammon has been completed during the period August 2008 through January 2009. During this stay a variety of MD techniques were tested, and simulations with and without ligands were performed. Also, advanced methods were employed to analyse the trajectories, including PCA, essential dynamics, clustering and other types.
Main supervisor
Bente Frølund (associate professor, Pharma, KU)
(Tommy Liljefors was main supervisor until his retirement 1st September 2007)
Co-supervisors
Thomas Balle (associate professor, Pharma, KU)
Anne Techau Jørgensen (Computational chemist, H. Lundbeck A/S)
On January 7, 2011, I defended my PhD thesis with the following persons as the assessment committee:
Department of Medicinal Chemistry
Faculty of Pharmaceutical Sciences
University of Copenhagen
Universitetsparken 2
2100 Copenhagen
Denmark
Phone: (+45) 353 36108
Fax: (+45) 35 33 60 41
E-mail: tos(at)farma.ku.dk
Building 30, Room 122
Private website: www.colts.dk
University of Copenhagen
Faculty of Pharmaceutical Sciences
Universitetsparken 2
2100 Copenhagen
Denmark
Phone +45 35 33 60 00
Fax +45 35 33 60 01
Mail farma@farma.ku.dk
Web www.farma.ku.dk