Master Degree / Yüksek Lisans Tezleri

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Department: search.filters.department.Thesis (Master)--İzmir Institute of Technology, Polymer Science and EngineeringSubject: search.filters.subject.Polymer Science and Technology

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Now showing 1 - 2 of 2
  • Master Thesis
    Enhancement of Ultraviolet Resistance of Polyaspartics
    (01. Izmir Institute of Technology, 2024) Karabacak, Bahar Demirtaş; Demir, Mustafa Muammer
    The degradation of polyaspartic ester (PAE) resins under ultraviolet (UV) exposure poses significant challenges for their long-term use in outdoor applications. This study investigates the enhancement of UV resistance of PAE resins through the incorporation of metal oxide particles as UV absorbers. The research aims to determine the efficacy of metal oxide particles in improving the UV protective properties of PAE resins. Experimental results demonstrate that the UV absorption values of resin dispersions containing metal oxide particles significantly increased compared to pure PAE resin. This enhancement may be attributed to the metal oxides' ability to absorb and scatter UV light, thereby reducing the transmission of harmful UV rays through the resin matrix. Various concentrations of metal oxide particles were tested, and the findings underscore the importance of achieving a homogeneous dispersion within the resin for optimal UV protection. The study concludes that the incorporation of metal oxide particles into PAE resins can remarkably enhance the UV resistance of PAE. The improved UV absorption characteristics make these modified resins more suitable for applications exposed to prolonged UV radiation. This research provides a foundation for further exploration into optimizing particle concentrations and dispersion techniques to maximize the UV resistance of polyaspartic ester resins while maintaining their transparency over visible region of the optical spectrum.
  • Master Thesis
    Identification of Allosteric Control in Proteins Using Computational Methods
    (01. Izmir Institute of Technology, 2024) Güneş, Sude; Uyar, Arzu; Sezgin, Hümeyra Taşkent
    The prediction of orthosteric, allosteric, and cryptic sites through computational approaches is significant for drug discovery studies. To this extent, a ligand binding site prediction method called Essential Site Scanning Analysis (ESSA) was used to investigate allosteric and cryptic sites of TEM-1 beta-lactamase, cell division protein kinase 2, and galactokinase by applying various cutoff values (7 Å, 10 Å, 11 Å, and 13 Å) and combining 10/20 modes in this study. On the other hand, molecular dynamics (MD) and ClustENMD were performed to investigate hGALK1 enzyme dynamics. In addition, Principal Component Analysis (PCA) was applied to investigate collective motions in the presence and the absence of an allosteric inhibitor in hGALK1. The ligand binding sites of hGALK1 were investigated using frames obtained from MD and ClustENMD. According to the findings, the application of combined 10/20 modes improved the success of the ESSA method. Moreover, binding site prediction success demonstrated variation in the presence of different cutoff values and conformations. Different cutoff values demonstrated success in the prediction of allosteric and orthosteric sites highlighting the role of contacting atoms in the Gaussian Network Model (GNM) calculations. To this extent, the combination of results from various cutoff values has the potential to improve the allosteric site prediction success of the ESSA method.