Search for dissertations about: "drug discovery"

Showing result 1 - 5 of 233 swedish dissertations containing the words drug discovery.

  1. 1. Studies of Retroviral Reverse Transcriptase and Flaviviral Protease Enzymes as Antiviral Drug Targets : Applications in Antiviral Drug Discovery & Therapy

    Author : Muhammad Junaid; Jarl ES Wikberg; Uppsala universitet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Virus; enzymes; HIV AIDS; retroviral reverse transcriptase; flaviviral protease; NRTIs; proteochemometrics; drug resistance; DEN; JEV; NS2B H -NS3pro; antiviral; drug targets; drug discovery; drug therapy.; Farmakologi; Pharmacology;

    Abstract : Viruses are a major threat to humans due to their unique adaptability, evolvability and  capability to control their hosts as parasites and genetic elements. HIV/AIDS is the third largest cause of death by infectious diseases in the world, and drug resistance due to the viral mutations is still the leading cause of treatment failure. READ MORE

  2. 2. Fragment-based drug discovery : Novel methods and strategies for identifying and evolving fragment leads

    Author : Edward A. FitzGerald; Helena Danielson; Hanna-Kirsti Schrøder Leiros; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Biochemistry; Drug Discovery; Biophysics; Fragment-based drug discovery; Epigenetics; Biosensors; Surface Plasmon Resonance; Interaction Analysis; Second-Harmonics; Biokemi; Biochemistry;

    Abstract : The need for new drugs became ever more apparent in the year 2020 when the world was faced with a viral pandemic. How drugs are discovered and their relevance to society became part of daily discussions in workplaces and homes throughout the world. Consequently, efficient strategies for preclinical drug discovery are clearly needed. READ MORE

  3. 3. Drug discovery against leishmaniasis : Bio- and chemoinformatic guided strategies for target evaluation and hit identification

    Author : Elisabet Vikeved; UCM Alsmark; Christian Sköld; David Horn; Uppsala universitet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Leishmaniasis; Drug discovery; Lateral gene transfer; Comparative genomics; Virtual screening; Target fishing; Marine natural products;

    Abstract : Leishmaniasis is a neglected tropical disease mainly affecting poor people in developing countries. It is caused by infections of flagellated protozoa belonging to genus Leishmania. The few available drugs are associated with problems such as low effectiveness, severe side effects and resistance development. READ MORE

  4. 4. Interaction Studies of Secreted Aspartic Proteases (Saps) from Candida albicans : Application for Drug Discovery

    Author : Dan Backman; Helena Danielson; Birgitta Tomkinson; Gunnar Henriksson; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Biochemistry; SPR Biosensor; Secreted aspartic proteases; Candida albicans; interaction kinetics; drug discovery; protease inhibitor; Biokemi; Biochemistry; Biokemi;

    Abstract : This thesis is focused on enzymatic studies of the secreted aspartic proteases (Saps) from Candida albicans as a tool for discovery of anti-candida drugs. C. albicans causes infections in a number of different locations, which differ widely in the protein substrates available and pH. Since C. READ MORE

  5. 5. Computational Modelling in Drug Discovery : Application of Structure-Based Drug Design, Conformal Prediction and Evaluation of Virtual Screening

    Author : Martin Lindh; Anders Karlén; Antti Poso; Uppsala universitet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; drug discovery; docking; virtual screening; tuberculosis; conformal prediction;

    Abstract : Structure-based drug design and virtual screening are areas of computational medicinal chemistry that use 3D models of target proteins. It is important to develop better methods in this field with the aim of increasing the speed and quality of early stage drug discovery. READ MORE