Search for dissertations about: "Bioinformatics"

Showing result 36 - 40 of 635 swedish dissertations containing the word Bioinformatics.

  2. 36. Integrating multi-omics for type 2 diabetes : Data science and big data towards personalized medicine

    Author : Klev Diamanti; Jan Komorowski; Claes Wadelius; Manfred Grabherr; Peter Spégel; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; type 2 diabetes; multi-omics; genomics; metabolomics; data science; machine learning; personalized medicine; Bioinformatics; Bioinformatik;

    Abstract : Type 2 diabetes (T2D) is a complex metabolic disease characterized by multi-tissue insulin resistance and failure of the pancreatic β-cells to secrete sufficient amounts of insulin. Cells recruit transcription factors (TF) to specific genomic loci to regulate gene expression that consequently affects the protein and metabolite abundancies. READ MORE

  4. 37. Domain rearrangement and creation in protein evolution

    Author : Diana Ekman; Arne Elofsson; Christine Orengo; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bioinformatics; Bioinformatik; Biochemistry; biokemi;

    Abstract : Proteins are composed of domains, recurrent protein fragments with distinct structure, function and evolutionary history. Some domains exist only as single domain proteins, however, a majority of them are also combined with other domains. READ MORE

  5. 38. Towards Individualized Drug Dosage : General Methods and Case Studies

    Author : Martin Fransson; Peter Fritzson; Lena Friberg; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; drug dosage; population pharmacokinetics; biochemical modelling; identifiability; parameter estimation; Bioinformatics; Bioinformatik;

    Abstract : Progress in individualized drug treatment is of increasing importance, promising to avoid much human suffering and reducing medical treatment costs for society. The strategy is to maximize the therapeutic effects and minimize the negative side effects of a drug on individual or group basis. READ MORE

  6. 39. Towards an Earlier Detection of Progressive Multiple Sclerosis using Metabolomics and Machine Learning

    Author : Stephanie Herman; Kim Kultima; Ola Spjuth; Joachim Burman; Johan Lengqvist; Camilla Svensson; Gabi Kastenmüller; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; bioinformatics; biomarkers; progressive multiple sclerosis; metabolomics; machine learning; advanced analytics; mass spectrometry;

    Abstract : Decision-making guided by advanced analytics is becoming increasingly common in many fields. Implementing computationally driven healthcare solutions does, however, pose ethical dilemmas as it involves human health. READ MORE

  7. 40. Structure-based Virtual Screening for Ligands of G Protein-coupled Receptors : Design of Allosteric and Dual-Target Modulators

    Author : Stefanie Kampen; Jens Carlsson; Peter Kolb; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; G protein-coupled receptors; Polypharmacology; Molecular Docking; Structure-based Drug Design; Parkinson’s Disease; Virtual Screening; Allosteric Modulators; Bioinformatics; Bioinformatik;

    Abstract : G protein-coupled receptors (GPCRs) are integral membrane proteins responsible for signal transduction of extracellular stimuli into the cell. Because of their widespread distribution throughout the human body and important roles in physiological processes, GPCRs are prominent drug targets and approximately 34% of all approved drugs interact with members of this superfamily. READ MORE