Researcher: Taweel, Ameer
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Taweel, Ameer
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Publication Open Access Gamu blue: a practical tool for game theory security equilibria(Institute of Electrical and Electronics Engineers Inc., 2024) Yıldız, Burcu; Department of Computer Engineering; Department of Computer Engineering; Taweel, Ameer; Küpçü, Alptekin; College of EngineeringThe application of game theory in cybersecurity enables strategic analysis, adversarial modeling, and optimal decision-making to address security threats' complex and dynamic nature. Previous studies by Abraham et al. and Biçer et al. presented various definitions of equilibria to examine the security aspects of games involving multiple parties. Nonetheless, these definitions lack practical and easy-to-use implementations. Our primary contribution is addressing this gap by developing Gamu Blue, an easy-to-use tool with implementations for computing the equilibria definitions including k-resiliency, l-repellence, t-immunity, (l, t)-resistance, and m-stability. © 2024 IEEE.Publication Open Access Web interface for 3D visualization and analysis of SARS-CoV-2-human mimicry and interactions(Oxford University Press (OUP), 2021) Tsai, Chung-Jung; Nussinov, Ruth; Department of Chemical and Biological Engineering; Department of Computer Engineering; Department of Chemical and Biological Engineering; Department of Computer Engineering; Keskin, Özlem; Gürsoy, Attila; Övek, Damla; Taweel, Ameer; Abalı, Zeynep; Tezsezen, Ece; Köroğlu, Yunus Emre; Faculty Member; College of Engineering; Graduate School of Sciences and Engineering; 26605; 8745; N/A; N/A; N/A; N/A; N/ASummary: we present a web-based server for navigating and visualizing possible interactions between SARS-CoV-2 and human host proteins. The interactions are obtained from HMI_Pred which relies on the rationale that virus proteins mimic host proteins. The structural alignment of the viral protein with one side of the human protein-protein interface determines the mimicry. The mimicked human proteins and predicted interactions, and the binding sites are presented. The user can choose one of the 18 SARS-CoV-2 protein structures and visualize the potential 3D complexes it forms with human proteins. The mimicked interface is also provided. The user can superimpose two interacting human proteins in order to see whether they bind to the same site or different sites on the viral protein. The server also tabulates all available mimicked interactions together with their match scores and number of aligned residues. This is the first server listing and cataloging all interactions between SARS-CoV-2 and human protein structures, enabled by our innovative interface mimicry strategy.