Department of Chemistry
Recent Submissions
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Associations of physical activity and sedentary time with lipoprotein subclasses in Norwegian schoolchildren: The Active Smarter Kids (ASK) study
(Journal article; Peer reviewed, 2019)Background and aims: Physical activity is favourably associated with certain markers of lipid metabolism. The relationship of physical activity with lipoprotein particle profiles in children is not known. Here we examine ... -
Lokalisering av (R)-artikain i et lipidbilag
(Master thesis, 2020-12-15)Hensikten med denne oppgaven var å undersøke interaksjonen mellom (R)-artikain og lipidbilag av POPC ved bruk av fast-fase NMR-spektroskopi. Artikain hydroklorid brukes som et lokalbedøvelsesmiddel innen tannbehandling, ... -
Probing myelin-specific membrane proteins using hybrid nanoparticles
(Master thesis, 2020-12-03)Neuroscience is the study of the nervous system and its diseases. Neurological diseases are common and among the least understood class of disease in humans. Demyelinating diseases,, such as multiple sclerosis and ... -
Mechanistic Modelling of Radial Polymer Flow in Porous Media
(Doctoral thesis, 2020-09-29)Polymer flooding is one of the most successful chemically enhanced oil recovery (EOR) methods, and has primarily been implemented to accelerate oil production by sweep improvement. However, research from the last couple ... -
Nitrous Oxide Adsorption and Separation Using CPO-27 Metal-Organic Frameworks
(Master thesis, 2020-08-29)Nitrous oxide N2O is a potent greenhouse gas with a high global warming potential approximately 300 times that of carbon dioxide on a 100-year timescale. In addition, it is the leading ozone-depleting substance emitted in ... -
Smart Surfaces: Design, Structuring and Characterization
(Master thesis, 2016-06-02) -
Cytotoxic saponins and other natural products from flowering tops of Narthecium ossifragum L
(Peer reviewed; Journal article, 2019)For more than four centuries, the intake of Narthecium ossifragum has been associated with poisoning in domesticated animals. Saponins occurring in flowering tops of the plant are considered to cause kidney damage in calves. ... -
Interfacial Aromatics Mediating Cation-π Interactions with Choline-Containing Lipids Can Contribute as Much to Peripheral Protein Affinity for Membranes as Aromatics Inserted below the Phosphates
(Peer reviewed; Journal article, 2019)Membrane-binding interfaces of peripheral proteins are restricted to a small part of their exposed surface, so the ability to engage in strong selective interactions with membrane lipids at various depths in the interface, ... -
Kinase chemodiversity from the Arctic: the breitfussins
(Peer reviewed; Journal article, 2019)In this work, we demonstrate that the indole-oxazole-pyrrole framework of the breitfussin family of natural products is a promising scaffold for kinase inhibition. Six new halogenated natural products, breitfussin C–H (3 ... -
Peptidomimetic inhibitors targeting the membrane-binding site of the neutrophil proteinase 3
(Peer reviewed; Journal article, 2019)Proteinase 3 (PR3), together with other serine proteases, such as neutrophil elastase (NE) and cathepsin G (CG), regulates inflammatory and immune responses. However, in comparison with NE and CG, there is increasing ... -
Complete validation according to current international criteria of a confirmatory quantitative method for the determination of nitrofuran metabolites in seafood by liquid chromatography isotope dilution tandem mass spectrometry
(Peer reviewed; Journal article, 2019)Despite the ban of nitrofurans (NFs) for use in food production in many countries in the 1990s, NF metabolites in food are still regularly detected during import control testing. We have developed a confirmatory routine ... -
Computational methods and tools to predict cytochrome P450 metabolism for drug discovery
(Peer reviewed; Journal article, 2019)In this review, we present important, recent developments in the computational prediction of cytochrome P450 (CYP) metabolism in the context of drug discovery. We discuss in silico models for the various aspects of CYP ... -
Multicollinear physical activity accelerometry data and associations to cardiometabolic health: Challenges, pitfalls, and potential solutions
(Peer reviewed; Journal article, 2019-08-27)Background: The analysis of associations between accelerometer-derived physical activity (PA) intensities and cardiometabolic health is a major challenge due to multicollinearity between the explanatory variables. This ... -
Wetting in Porous Media: A Nuclear Magnetic Resonance Study.
(Doctoral thesis, 2020-06-30)The purpose of this thesis has been to study mechanisms responsible for wettability alteration on reservoir minerals and then to study how surface wettability affects the distribution of immiscible liquids in porous media. ... -
Automated in Silico Design of Homogeneous Catalysts
(Peer reviewed; Journal article, 2020)Catalyst discovery is increasingly relying on computational chemistry, and many of the computational tools are currently being automated. The state of this automation and the degree to which it may contribute to speeding ... -
Spin Crossover in a Hexaamineiron(II) Complex: Experimental Confirmation of a Computational Prediction
(Peer reviewed; Journal article, 2018-01-06)Single crystal structural analysis of [Fe^II(tame)_2]Cl_2⋅MeOH (tame=1,1,1‐tris(aminomethyl)ethane) as a function of temperature reveals a smooth crossover between a high temperature high‐spin octahedral d^6 state and a ... -
Analysis of the FLVR motif of SHIP1 and its importance for the protein stability of SH2 containing signaling proteins
(Peer reviewed; Journal article, 2019)Binding of proteins with SH2 domains to tyrosine-phosphorylated signaling proteins is a key mechanism for transmission of biological signals within the cell. Characterization of dysregulated proteins in cell signaling ... -
Morphology control in modulated synthesis of metal-organic framework CPO-27
(Peer reviewed; Journal article, 2019)The CPO-27/MOF-74 series is among the most investigated metal-organic frameworks because of their usefulness in a diverse range of applications. For specific applications, it will be important to control the shape and size ... -
Skin Doctor: Machine learning models for skin sensitization prediction that provide estimates and indicators of prediction reliability
(Peer reviewed; Journal article, 2019-09-28)The ability to predict the skin sensitization potential of small organic molecules is of high importance to the development and safe application of cosmetics, drugs and pesticides. One of the most widely accepted methods ...
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