Master Degree / Yüksek Lisans Tezleri

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Access Right: Embargoed AccessAuthor: search.filters.author.Uyar, Arzu

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  • Master Thesis
    Computational investigation of allostery in hydroxyacid oxidase
    (01. Izmir Institute of Technology, 2024) Gökoğlu, Gizem; Uyar, Arzu; Ceylan, Çağatay
    Understanding allosteric regulation in proteins may enable the development of effective new-generation therapeutics for disease treatments. Computational methods are gaining importance daily due to their fast and effective nature in examining protein dynamics and discovering potential allosteric binding sites. In this context, computational methods were used to determine the potential binding sites of the human hydroxyacid oxidase 1 (hHAO1) protein, which is effective in the rare disease Primary hyperoxaluria type 1 (PH1). Then, potential binding sites were predicted in monomeric and homotetrameric crystal and modeled structures of hHAO1 using the Fragment–Based Mapping (FTMap) web server and the Essential Site Scanning Analysis (ESSA) method. In ESSA, first, the default parameters cut-off 10 Å and mode 10 were applied. Then, to examine the effect of the cut-off value (distance) (Å), the parameters cut-off 7 Å and cumulative mode 20, and cut-off 13 Å and cumulative mode 20 were applied in ESSA. The modeled structures for hHAO1 were successful in terms of conformation and predicted binding sites. In the results of hHAO1, more binding sites were determined in the monomeric forms of hHAO1 than in tetrameric forms. FTMap and especially ESSA successfully predicted allosteric and potential new binding sites for hHAO1. This thesis might contribute to the improvement of computational methods and the development of allosteric therapeutics for hHAO1 and PH1.