Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/173178
Title: Virulence network of interacting domains of influenza a and mouse proteins
Authors: Ng, Teng Ann
Rashid, Shamima
Kwoh, Chee Keong
Keywords: Engineering::Computer science and engineering
Issue Date: 2023
Source: Ng, T. A., Rashid, S. & Kwoh, C. K. (2023). Virulence network of interacting domains of influenza a and mouse proteins. Frontiers in Bioinformatics, 3, 1123993-. https://dx.doi.org/10.3389/fbinf.2023.1123993
Project: MOE2019-T2-2-175 
MOE2020-T1-001-130 
Journal: Frontiers in Bioinformatics 
Abstract: There exist several databases that provide virus-host protein interactions. While most provide curated records of interacting virus-host protein pairs, information on the strain-specific virulence factors or protein domains involved, is lacking. Some databases offer incomplete coverage of influenza strains because of the need to sift through vast amounts of literature (including those of major viruses including HIV and Dengue, besides others). None have offered complete, strain specific protein-protein interaction records for the influenza A group of viruses. In this paper, we present a comprehensive network of predicted domain-domain interaction(s) (DDI) between influenza A virus (IAV) and mouse host proteins, that will allow the systematic study of disease factors by taking the virulence information (lethal dose) into account. From a previously published dataset of lethal dose studies of IAV infection in mice, we constructed an interacting domain network of mouse and viral protein domains as nodes with weighted edges. The edges were scored with the Domain Interaction Statistical Potential (DISPOT) to indicate putative DDI. The virulence network can be easily navigated via a web browser, with the associated virulence information (LD50 values) prominently displayed. The network will aid influenza A disease modeling by providing strain-specific virulence levels with interacting protein domains. It can possibly contribute to computational methods for uncovering influenza infection mechanisms mediated through protein domain interactions between viral and host proteins. It is available at https://iav-ppi.onrender.com/home.
URI: https://hdl.handle.net/10356/173178
ISSN: 2673-7647
DOI: 10.3389/fbinf.2023.1123993
Schools: School of Computer Science and Engineering 
Rights: © 2023 Ng, Rashid and Kwoh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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