Kristina Luthman

Peder Svensson3
Marcus Malo3
Lars Brive3
3Peder Svensson
3Marcus Malo
3Lars Brive
Learn More
The aim of the study was to investigate whether easily and rapidly calculated 2D and 3D molecular descriptors could predict the melting point of drug-like compounds, to allow a melting point classification of solid drugs. The melting points for 277 structurally diverse model drugs were extracted from the 12th edition of the Merck Index. 2D descriptors(More)
In this study, a set of strategies for structure-based design using GRID molecular interaction fields (MIFs) to derive a pharmacophoric representation of a protein is reported. Thrombin, one of the key enzymes involved in the blood coagulation cascade, was chosen as the model system since abundant published experimental data are available related to both(More)
The aim of this study was to develop in silico protocols for the prediction of aqueous drug solubility. For this purpose, high quality solubility data of 85 drug-like compounds covering the total drug-like space as identified with the ChemGPS methodology were used. Two-dimensional molecular descriptors describing electron distribution, lipophilicity,(More)
A series of eight peptides corresponding to the amino acid sequence of the hinge region of IgG and 17 newly synthesized peptide analogues containing a piperidine moiety as a replacement of a glycine residue were tested as potential inhibitors of the bacterial IgG degrading enzyme of Streptococcus pyogenes , IdeS. None of the peptides showed any inhibitory(More)
A series of substituted chromone/chroman-4-one derivatives has been synthesized and evaluated as novel inhibitors of SIRT2, an enzyme involved in aging-related diseases, e.g., neurodegenerative disorders. The analogues were efficiently synthesized in a one-step procedure including a base-mediated aldol condensation using microwave irradiation. The most(More)
The aim of this study was to use a combined structure and pharmacophore modeling approach to extract information regarding dopamine D₁ receptor agonism and D₁/D₂ agonist selectivity. A 3D structure model of the D₁ receptor in its agonist-bound state was constructed with a full D₁ agonist present in the binding site. Two different binding modes were(More)
A combined modeling approach was used to identify structural factors that underlie the structure-activity relationships (SARs) of full dopamine D₂ receptor agonists and structurally similar inactive compounds. A 3D structural model of the dopamine D₂ receptor was constructed, with the agonist (-)-(R)-2-OH-NPA present in the binding site during the modeling(More)
This study is focused on the identification of structural features that determine the selectivity of dopamine receptor agonists toward D(1) and D(2) receptors. Selective pharmacophore models were developed for both receptors. The models were built by using projected pharmacophoric features that represent the main agonist interaction sites in the receptor(More)
AIMS The stimulatory, rewarding, and dopamine (DA)-enhancing effects of ethanol may involve central nicotinic acetylcholine receptors (nAChR), especially those located in the ventral tegmental area (VTA). Identifying the subunit composition that mediates these effects of ethanol would increase the understanding of the neurochemical basis underlying the(More)
  • 1