Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis A Computational Chemistry Study on the Interactions Between Hydrogenated Borophene and Amino Acids(Izmir Institute of Technology, 2022) Bozkurt, Yağmur; Elmacı Irmak, NuranIn this work, the adsorption behavior of hydrogenated borophene to amino acids was examined to provide its geometric and electronic structures information and to check whether hydrogenated borophenes’ potential can be used in new biosensor devices for amino acids or not. In the aspect of this thesis adsorption of 4 amino acids from different types of amino acid classes (acidic, basic, nonpolar, and polar) on hydrogenated borophene surfaces has been studied by computational chemistry methods. Electronic and geometric structures of B36H6 and its complexes with glycine, tyrosine, aspartic acid, and histidine were obtained by DFT calculations at B3LYP-D2 / 6-311G** level of theory. In the energetically most favorable configurations of complexes, amino acids approaching from the bottom of the B36H6 surface with a horizontal orientation (exception for histidine complexes) of amino acid was observed. The most reactive parts of the B36 structure (edges) have been stabilized with hydrogenation, the whole boron cluster became more stable and adsorption ability has fallen. It was found that hydrogenated borophene has indistinguishable electronic responses for each the amino acids studied in this thesis since the complexes exhibited nearly the same band gap. Thus, hydrogenated borophene shows no sensor ability to GLY, TYR, ASP, and HIS.Master Thesis A Computational Study on the Structures and Proton Affinities of B3+ Ions; Peptide Mass Fragment Product(Izmir Institute of Technology, 2015) Boz, Seçkin; Elmacı Irmak, NuranMass spectrometry is the tool of choice during most of the proteomics studies to get amino acid sequence. However, unambiguously identifying amino acid sequence from mass spectra is not easy and straight forward task. Deeper understanding is needed to support both existing knowledge and develop newer models on dissociation patterns of protonated peptides and it will help to improve efficiency of current algorithms used in peptide identification. In this study, the structures of b3+ ions and their neutral forms were investigated by using computational methods. First, potential energy surface of b ions are scanned using molecular dynamics simulations and conformer samples are collected. Then, in order to reduce number of conformers, principal coordinate analysis was applied to find and select different structures within the sample. Selected conformers were optimized using density functional theory calculations. Proton affinities of b ions are determined by the energy difference between most stable conformers of the positively charged and neutral peptide fragments. Different amino acids were used to understand the role of side chain of amino acids on both structures and proton affinities of b3+ ions; XA2+ where X=N, H, C, Y, D, L and F. The results showed that, b3+ ions prefer to have linear oxazolone structure. However, in their neutral states, cyclic structures are relatively far more stable than linear isomers. Histidine display different behavior than other amino acids. Side chain of histidine holds protons and forms stable structures. The energies of cyclic and linear isomers of Histidine containing b ions are close to each other. Histidine containing peptide fragments have larger proton affinity comparing to others. Difference of proton affinities between linear and cyclic conformers varies based on amino acid used. This difference is lower than 10kcal/mol in histidine, asparagine and aspartic acid containing peptide fragments. There is no dramatic position preference of the X-amino acid for the N- or C- terminals or middle position with the exception of Asn and Asp (unlike the center) and Histidine which likes to be at C-terminal.