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Computational Modelling of the Human Islet Amyloid Polypeptide
Englisch
222 b
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The thesis presents research on human islet amyloid polypeptide (hIAPP) using computational modeling, offering readers a comprehensive introduction to amyloid proteins and the computational methods used with them. Understanding the experimental literature has enabled the critical assessment and comparison of the results to both the literature as well as the experiments performed by collaborators, which further elevates the quality of the research.§§hIAPP is related to the development of Diabetes Mellitus type 2, where it forms cytotoxic plaques in the pancreas. It belongs to the amyloid family of diseases, which are characterized by deposits of a particular peptide in the body. The results presented here represent a significant contribution to amyloid research, especially with regard to the origin of cytotoxicity and to developing technologies for early detection. Several studies in the thesis answer difficult questions, which will advance future research into the properties of amyloid proteins. These proteins are highly complex, and the research presented here provides unparalleled insights, revealing in detail the molecular mechanisms behind hIAPP behavior.
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