Search

Your search keyword '"Tezsezen, Ece"' showing total 7 results
Start Over Author "Tezsezen, Ece"
7 results on '"Tezsezen, Ece"'

3. Web interface for 3D visualization and analysis of SARS-CoV-2—human mimicry and interactions

Author

Ovek, Damla, Taweel, Ameer, Abali, Zeynep, Tezsezen, Ece, Koroglu, Yunus Emre, Tsai, Chung-Jung, Nussinov, Ruth, Keskin, Ozlem, and Gursoy, Attila

Subjects
Applications Note, AcademicSubjects/SCI01060, fungi
Abstract

Summary 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. Availability The server is available at https://interactome.ku.edu.tr/sars/.

Published
2021

5. Web interface for 3D visualization and analysis of SARS-CoV-2-human mimicry and interactions

Author

Keskin Özkaya, Zehra Özlem (ORCID 0000-0002-4202-4049 & YÖK ID 26605); Gürsoy, Attila (ORCID 0000-0002-2297-2113 & YÖK ID 8745); Övek, Damla; Taweel, Ameer; Abalı, Zeynep; Tezsezen, Ece; Köroğlu, Yunus Emre, Tsai, Chung-Jung; Nussinov, Ruth, College of Engineering; Graduate School of Sciences and Engineering, Department of Chemical and Biological Engineering; Department of Computer Engineering, Keskin Özkaya, Zehra Özlem (ORCID 0000-0002-4202-4049 & YÖK ID 26605); Gürsoy, Attila (ORCID 0000-0002-2297-2113 & YÖK ID 8745); Övek, Damla; Taweel, Ameer; Abalı, Zeynep; Tezsezen, Ece; Köroğlu, Yunus Emre, Tsai, Chung-Jung; Nussinov, Ruth, College of Engineering; Graduate School of Sciences and Engineering, and Department of Chemical and Biological Engineering; Department of Computer Engineering

Abstract

Summary: 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., National Cancer Institute Federal Fund; National Institutes of Health (NIH); United States Department of Health & Human Services Federal Fund; NIH Intramural Research Program; National Cancer Institute; Center for Cancer Research

Published
2021

6. SARS-CoV-2 Interactome 3D: A Web interface for 3D visualization and analysis of SARS-CoV-2–human mimicry and interactions.

Author

Ovek, Damla, Taweel, Ameer, Abali, Zeynep, Tezsezen, Ece, Koroglu, Yunus Emre, Tsai, Chung-Jung, Nussinov, Ruth, Keskin, Ozlem, and Gursoy, Attila

Subjects
SARS-CoV-2, VIRAL proteins, PROTEIN structure, BINDING sites, PROTEIN-protein interactions
Abstract

Summary 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. Availability and implementation The server is available at https://interactome.ku.edu.tr/sars/. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

7. Web interface for 3D visualization and analysis of SARS-CoV-2-human mimicry and interactions

Author

Keskin Özkaya, Zehra Özlem (ORCID 0000-0002-4202-4049 & YÖK ID 26605), Gürsoy, Attila (ORCID 0000-0002-2297-2113 & YÖK ID 8745), Övek, Damla, Taweel, Ameer, Abalı, Zeynep, Tezsezen, Ece, Köroğlu, Yunus Emre, Tsai, Chung-Jung, Nussinov, Ruth, College of Engineering, Graduate School of Sciences and Engineering, Department of Chemical and Biological Engineering, and Department of Computer Engineering

Subjects
Bioinformatics, Two-hybrid system techniques, Position weight matrix, Structural prediction, Protein, Server
Abstract

Summary: 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., National Cancer Institute Federal Fund; National Institutes of Health (NIH); United States Department of Health & Human Services Federal Fund; NIH Intramural Research Program; National Cancer Institute; Center for Cancer Research

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results