Geçkin, Duygu

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https://hdl.handle.net/20.500.14365/6895
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Geckin, Duygu
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Email Address
duygu.geckin@ieu.du.tr
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05.02. Biomedical Engineering
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Current Staff
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ORCID ID
0000-0002-2257-5484
Scopus Author ID
58017444400
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444D3088B3A31ACA
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WoS Researcher ID
HLK-2785-2023
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Duygu_Geckin.jpg (8.53 KB)

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2022 Medıcal Technologıes Congress (Tıptekno'22)1
TIPTEKNO 2025 - Medical Technologies Congress, Proceedings -- 2025 Medical Technologies Congress, TIPTEKNO 2025 -- 26 October 2025 through 28 October 2025 -- Gazi Magusa -- 2178121
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    Conference Object
    Sequence Based Prediction of Protein-Protein Interactions Via Siamese Neural Networks
    (IEEE, 2022-10-31) Geckin, Duygu; Demir, Guleser Kalayci; Geçki˙n, Duygu; Kalayci Demir, Güleser
    Proteins are complex macromolecules and participate in nearly every process within the living cells. They generally make physicochemical connections and complex structures called protein-protein interactions (PPIs) to carry out their specific functions. The PPIs play essential roles in cellular processes and regulate various cellular functions such as signal transduction, recognition of foreign molecules, and immune response. Additionally, they have a high potential for drug discovery applications, treatment design, and understanding of disease mechanisms. Therefore, it is crucial to identify PPIs rapidly and accurately. In this study, we aim to investigate the performance of the convolutional Siamese neural network approach for the prediction of PPIs by only using the sequence information of proteins. We encoded protein sequences using three different protein representation methodologies: Binary Representation, Auto Covariance (AC), and Position Specific Scoring Matrices (PSSM). Results show that the PSSM method gives better accuracy than the other two encoding methods. Also, we have presented that the implemented convolutional Siamese neural network approach improves sequence-based PPI prediction.
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    Extraction and Characterization of Chitin and Chitosan from Shrimp Shell and Squid Pen Waste: Application in Biofilm Production
    (Institute of Electrical and Electronics Engineers Inc., 2025-10-26) Geckin, Duygu; Krotau, Yaraslau; Duran, Gizem Ayna
    The objective of this study was to extract and characterize alpha-chitosan from Penaeus Vannamei shrimp shell waste and beta-chitosan from Loligo Vulgaris squid pen waste using a chemical extraction method, thereby providing a theoretical basis for the improved development and utilization of chitosan-based biomedical materials. Extraction involved sequential deproteinization, demineralization, and deacetylation, followed by structural characterization using Fourier Transform Infrared (FT-IR) spectroscopy. FT-IR spectra confirmed the successful conversion of chitin to chitosan and revealed characteristic bands corresponding to O-H/N-H stretching, amide groups, and glycosidic linkages. The degree of deacetylation (DD) was calculated as 77.82% for alpha-chitosan and 94.45% for beta-chitosan, indicating that beta-chitosan undergoes deacetylation more readily due to its parallel chain arrangement and weaker intermolecular hydrogen bonding. These structural differences significantly influence physicochemical properties such as solubility and crystallinity, which are directly linked to biological activity. Given that higher DD enhances erythrocyte and platelet aggregation, the high-DD beta-chitosan obtained from squid pens demonstrates strong potential for use in hemostatic gel biomaterials. Furthermore, biofilms produced from both alpha- and beta-chitosan underline their promise for biomedical applications, particularly in wound healing and surgical hemostasis.