Sökning: "statistical molecular design"
Visar resultat 1 - 5 av 44 avhandlingar innehållade orden statistical molecular design.
1. Ligand binding and enzyme catalysis studied by molecular dynamics simulations
Sammanfattning : Molecular dynamics simulations and free energy calculations can be applied to biomolecular systems to predict ligand binding affinities. Combined with hybrid quantum-classical potential energy surfaces, such computations can also be used to probe enzymatic catalysis mechanisms. LÄS MER
2. Modified Glycopeptides Targeting Rheumatoid Arthritis : Exploring molecular interactions in class II MHC/glycopeptide/T-cell receptor complexes
Sammanfattning : Rheumatoid arthritis (RA) is an autoimmune inflammatory disease that leads to degradation of cartilage and bone mainly in peripheral joints. In collagen-induced arthritis (CIA), a mouse model for RA, activation of autoimmune CD4+ T cells depends on a molecular recognition system where T-cell receptors (TCRs) recognize a complex between the class II MHC Aq protein and CII259-273, a glycopeptide epitope from type II collagen (CII). LÄS MER
3. Multivariate design of molecular docking experiments : An investigation of protein-ligand interactions
Sammanfattning : To be able to make informed descicions regarding the research of new drug molecules (ligands), it is crucial to have access to information regarding the chemical interaction between the drug and its biological target (protein). Computer-based methods have a given role in drug research today and, by using methods such as molecular docking, it is possible to investigate the way in which ligands and proteins interact. LÄS MER
4. Design strategies for new drugs targeting multicomponent systems : focusing on class II MHC proteins and acetylcholinesterase
Sammanfattning : The field of medicinal chemistry is constantly evolving. Aided by advances within techniques as well as knowledge of biological systems, increasingly complex targets and drugs can be considered. LÄS MER
5. The MHC-glycopeptide-T cell interaction in collagen induced arthritis : a study using glycopeptides, isosteres and statistical molecular design in a mouse model for rheumatoid arthritis
Sammanfattning : Rheumatoid arthritis (RA) is an autoimmune disease affecting approximately 1% of the population in the western world. It is characterised by a tissue specific attack of cartilage in peripheral joints. Collagen induced arthritis (CIA) is one of the most commonly used animal models for (RA), with similar symptoms and histopathology. LÄS MER