Sökning: "ligand"

Visar resultat 6 - 10 av 148 uppsatser innehållade ordet ligand.

  1. 6. Computational prediction of cell-cell interactions in the brain-tumour microenvironment

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Paula Camargo Romera; [2023]
    Nyckelord :Cancer; Glioblastoma; Computational Biology; Bioinformatics; Microenvironment; Brain tumour; Interactions; Systems Biology;

    Sammanfattning : Glioblastoma is the fastest-growing, and the most common malignant brain tumour in adults. It is normally treated with surgery and radio- or chemotherapy, but the approximate life expectancy is of 15 months with a high probability of cancer recurring. Therefore, there is a need for decreasing its severity. LÄS MER

  3. 7. Identifying effects of adrenaline and dopamine binding on the beta2-adrenergic receptor structure and function using machine learning

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Joar Gunnarsson; Leon Bergner; [2023]
    Nyckelord :beta2-adrenergic receptor; GPCR; adrenaline; dopamine; Machine learning; Molecular dynamics simulation;

    Sammanfattning : The beta2-adrenergic receptor is a G-protein coupled receptor, involved in several physiological processes, which enables signaling through the cell membrane. To study the effect of dopamine and adrenaline binding on the receptor structure and function, we used machine learning methods applied to data from molecular dynamics simulations. LÄS MER

  4. 8. Investigating ERβ chromatin binding and its potential interaction with LRH-1 in an ovarian context

    Master-uppsats, KTH/Proteinvetenskap

    Författare :Mick Phenphak; [2023]
    Nyckelord :estrogen receptor beta; ovary; granulosa cells; ChIP; qPCR; östrogen receptor beta; äggstock; granulosa celler; ChIP; qPCR;

    Sammanfattning : Invasiv äggstockscancer anses vara en av de mest dödligaste gynekologiska maligniteterna. Granulosacelltumör i äggstocken är en sällsynt subtyp av äggstockstumör, som utgör 1–5% av alla äggstockstumörer. De kan kännetecknas av den långsamma tillväxthastigheten och produktionen av höga östrogennivåer. LÄS MER

  5. 9. Accelerating a Molecular Docking Application by Leveraging Modern Heterogeneous Computing Systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gabin Schieffer; [2023]
    Nyckelord :Molecular docking; AutoDock; GPU; Tensor Core; Drug Discovery; Molekylär dockning; AutoDock; GPU; Tensor Core; Läkemedelsutveckling;

    Sammanfattning : In drug development, molecular docking methods aim at characterizing the binding of a drug-like molecule to a protein. In a typical drug development process, a docking task is repeated millions of time, which makes optimization efforts essential. LÄS MER

  7. 10. Optimization of two high-performance size-exclusion chromatography methods with diode-array detection for protein quantification and purity assessment

    Master-uppsats, Lunds universitet/Centrum för analys och syntes

    Författare :Camilla Lane; [2023]
    Nyckelord :Method qualification; Protein concentration; Protein Purity; High Performance Size exclusion chromatography; Quality control; Analytical chemistry; Biology and Life Sciences;

    Sammanfattning : Background: There is a need to develop methods of determining concentration and purity for two new affinity ligands, protein T and protein H, in order to ensure the quality of an industrial production of said proteins. Aims: To develop a High Performance Size Exclusion Chromatography, HPSEC, method to determine concentration and purity of protein T and to improve an existing HPSEC method for concentration and purity determination of protein H that show selectivity, display linearity between peak area and injection amount and give repeatable results. LÄS MER