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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Pages (from-to)1455-1457
Number of pages3
JournalBioinformatics
Volume38
Issue number5
DOIs
StatePublished - 1 Mar 2022

Funding

FundersFunder number
National Cancer InstituteZIABC010441

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