Sökning: "virtual screening"
Visar resultat 16 - 20 av 37 avhandlingar innehållade orden virtual screening.
16. Computer-Assisted Carbohydrate Structural Studies and Drug Discovery
Sammanfattning : Carbohydrates are abundant in nature and have functions ranging from energy storage to acting as structural components. Analysis of carbohydrate structures is important and can be used for, for instance, clinical diagnosis of diseases as well as in bacterial studies. The complexity of glycans makes it difficult to determine their structures. LÄS MER
17. Development and Application of Molecular Modeling Methods for Structure-Based Drug Discovery
Sammanfattning : Molecular modeling is increasingly being integrated into the drug discovery process. Although computational methods are already an essential part of the process today, these techniques have vast potential to evolve and refine drug design in the future. LÄS MER
18. Modeling and exploring human IRE1 as a strategy to design novel inhibitors: a computational approach
Sammanfattning : Inositol Requiring Enzyme 1 (IRE1) is a bifunctional serine/threonine kinase and endoribonuclease that is the major mediator of the Unfolded Protein Response (UPR) during endoplasmic reticulum (ER) stress. The association of IRE1 dysregulation with a wide range of human diseases, stimulated research towards the discovery of small organic molecules able to modulate IRE1 signalling, and to potentially be used as novel therapeutics. LÄS MER
19. Anti-Virulence Strategy Targeting Sortase A, A Structural Investigation of the Sortase A Enzyme, and the Identification, Synthesis, and Evaluation of Sortase A Inhibitors
Sammanfattning : The emergence of multi-resistant bacteria and their continuous spread is one of the greatest challenges when treating bacterial infections. Increased understanding of bacterial pathogenesis has revealed new strategies for treating bacteria-mediated diseases. LÄS MER
20. Development and Application of Computational Methods in Antitubercular Drug Design : Identification of Novel Inhibitors of Ribonucleotide Reductase
Sammanfattning : Tuberculosis kills approximately 1.7 million people each year around the world making it one of the most lethal infectious diseases. This thesis concerns the development of two computational tools that can support the early stages of drug discovery, and their use in an anti-tubercular drug discovery program. LÄS MER