Researcher:
Eskici, Gözde

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Master Student

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Gözde

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Eskici

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Eskici, Gözde

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2013 - 201912020 - 20231

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    Culturally adapted cognitive behavioral therapy for syrian refugee women in Turkey: a randomized controlled trial
    (American Psychological Association (APA), 2023) Hinton, Devon E.; Jalal, Baland; Yurtbakan, Taylan; N/A; Department of Psychology; Eskici, Gözde; Acartürk, Ceren; Master Student; Faculty Member; Department of Psychology; Graduate School of Sciences and Engineering; College of Social Sciences and Humanities; N/A; 39271
    Clinical Impact Statement A Syrian version of CA-CBT was effective (large effect sizes for the HTQ), feasible, and potentially scalable (easy application, conducted with trained facilitators, short-term therapy, group format), and acceptable (as evidenced by very low drop out and no adverse events). Thus, the Syrian version of CA-CBT appears to be a valuable psychological intervention for traumatized Syrian refugees, particularly given the lack of effective treatments for this group. Objective: This study aims to determine for Syrian refugee women in Turkey the effectiveness, feasibility, and acceptability of culturally adapted cognitive behavioral therapy (CA-CBT). Method: Participants were randomly allocated to receive either CA-CBT (n = 12) or treatment-as-usual (TAU; n = 11). We used the Harvard Trauma Questionnaire (HTQ) and the Hopkins Symptom Checklist-25 (HSCL) to assess posttraumatic stress symptoms and anxious-depressive distress. CA-CBT was delivered through seven weekly group sessions. Results: CA-CBT had a large effect on PTSD (HTQ d = 1.17) and nearly medium effect sizes for anxious-depressive distress (HSCL d = .40). There were also low drop-out rates and an absence of adverse events. Conclusions: Because CA-CBT greatly reduced PTSD symptoms as compared with TAU and had a low drop-out rate, no adverse events, and was deliverable in a short treatment frame (seven sessions) and in a group format, we conclude that the treatment is effective, acceptable, and feasible and has the potential for scalability.
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    PublicationOpen Access
    Computational design of new peptide inhibitors for amyloid beta (A beta) aggregation in Alzheimer's disease: application of a novel methodology
    (Public Library of Science, 2013) Eskici, Gözde; Gür, Mert; PhD Student; The Center for Computational Biology and Bioinformatics (CCBB); College of Engineering
    Alzheimer's disease is the most common form of dementia. It is a neurodegenerative and incurable disease that is associated with the tight packing of amyloid fibrils. This packing is facilitated by the compatibility of the ridges and grooves on the amyloid surface. The GxMxG motif is the major factor creating the compatibility between two amyloid surfaces, making it an important target for the design of amyloid aggregation inhibitors. In this study, a peptide, experimentally proven to bind A beta 40 fibrils at the GxMxG motif, was mutated by a novel methodology that systematically replaces amino acids with residues that share similar chemical characteristics and subsequently assesses the energetic favorability of these mutations by docking. Successive mutations are combined and reassessed via docking to a desired level of refinement. This methodology is both fast and efficient in providing potential inhibitors. Its efficiency lies in the fact that it does not perform all possible combinations of mutations, therefore decreasing the computational time drastically. The binding free energies of the experimentally studied reference peptide and its three top scoring derivatives were evaluated as a final assessment/valuation. The potential of mean forces (PMFs) were calculated by applying the Jarzynski's equality to results of steered molecular dynamics simulations. For all of the top scoring derivatives, the PMFs showed higher binding free energies than the reference peptide substantiating the usage of the introduced methodology to drug design.