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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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