Sökning: "Anders Karlén"
Visar resultat 6 - 10 av 23 avhandlingar innehållade orden Anders Karlén.
6. Peptidomimetic Enzyme Inhibitors : Targeting M. tuberculosis Ribonucleotide Reductase and Hepatitis C Virus NS3 Protease
Sammanfattning : This thesis focuses on the design and synthesis of inhibitors targeting Mycobacterium tuberculosis ribonucleotide reductase (RNR) and hepatitis C virus (HCV) NS3 protease; enzymes that have been identified as potential drug targets for the treatment of tuberculosis and hepatitis C, respectively. Small peptides have been recognized as inhibitors of these enzymes. LÄS MER
7. Computational Modeling of the AT2 Receptor and AT2 Receptor Ligands : Investigating Ligand Binding, Structure–Activity Relationships, and Receptor-Bound Models
Sammanfattning : Rational conversion of biologically active peptides to nonpeptide compounds with retained activity is an appealing approach in drug development. One important objective of the work presented in this thesis was to use computational modeling to aid in such a conversion of the peptide angiotensin II (Ang II, Asp-Arg-Val-Tyr-Ile-His-Pro-Phe). LÄS MER
8. Design, Synthesis and Biological Evaluation of Selective Nonpeptide AT2 Receptor Agonists and Antagonists
Sammanfattning : The G protein-coupled receptors (GPCRs) are important targets in drug discovery. In several cases, the endogenous ligands that activate the GPCRs of pharmaceutical interest are peptides. LÄS MER
9. Computational Modelling of Structures and Ligands of CYP2C9
Sammanfattning : CYP2C9 is one of our major drug metabolising enzymes and belongs to the cytochrome P450 (CYP) super family. The aim of this thesis was to gain an understanding of the quantitative structure–activity relationships (QSAR) of CYP2C9 substrates and inhibitors. LÄS MER
10. Computational Studies of Macrocycles and Molecular Modeling of Hepatitis C Virus NS3 Protease Inhibitors
Sammanfattning : Computational tools are utilized in the drug discovery process to discover, design, and optimize new therapeutics. One important approach is structure-based drug design which relies on knowledge about the 3D structure of the biological target. LÄS MER