Search for dissertations about: "Structural Homology"
Showing result 1 - 5 of 86 swedish dissertations containing the words Structural Homology.
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1. Structural studies of sugar binding proteins
Abstract : Binding proteins, which are themselves non-enzymatic, play an important role in enzymatic reactions as well as non-enzymatic processes by providing a binding platform for the specific recognition of particular molecules. For example, periplasmic binding proteins play a vital role in nutrient uptake in Gram-negative bacteria. READ MORE
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2. New Paradigms in GPCR Drug Discovery : Structure Prediction and Design of Ligands with Tailored Properties
Abstract : G protein-coupled receptors (GPCRs) constitute a large superfamily of membrane proteins with key roles in cellular signaling. Upon activation by a ligand, GPCRs transduce signals from the extracellular to the intracellular environment. READ MORE
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3. Computational Modelling of Ligand Complexes with G-Protein Coupled Receptors, Ion Channels and Enzymes
Abstract : Accurate predictions of binding free energies from computer simulations are an invaluable resource for understanding biochemical processes and drug action. The primary aim of the work described in the thesis was to predict and understand ligand binding to several proteins of major pharmaceutical importance using computational methods. READ MORE
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4. Unveiling Mechanistic Details of Macromolecular Interactions: Structural Design and Molecular Modelling of DNA-Protein Systems in Their Active State
Abstract : Molecular structure is fundamental for understanding mechanisms of molecular interactions. This applies not least to understanding biological function: every biological cell, whether bacterial or human, is an immensely complex system of thousands of molecules that exist in constant motion and interaction with each other. READ MORE
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5. Protein structure prediction : Zinc-binding sites, one-dimensional structure and remote homology
Abstract : Predicting the three-dimensional (3D) structure of proteins is a central problem in biology. These computationally predicted 3D protein structures have been successfully applied in many fields of biomedicine, e.g. family assignments and drug discovery. READ MORE