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Prediction of antiviral drugs against African swine fever viruses based on protein–protein interaction analysis

The African swine fever virus (ASFV) has severely influenced the swine industry of the world. Unfortunately, there is currently no effective antiviral drug or vaccine against the virus. Identification of new anti-ASFV drugs is urgently needed. Here, an up-to-date set of protein–protein interactions...

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Autores principales: Zhu, Zhaozhong, Fan, Yunshi, Liu, Yang, Jiang, Taijiao, Cao, Yang, Peng, Yousong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127483/
https://www.ncbi.nlm.nih.gov/pubmed/32274268
http://dx.doi.org/10.7717/peerj.8855
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author Zhu, Zhaozhong
Fan, Yunshi
Liu, Yang
Jiang, Taijiao
Cao, Yang
Peng, Yousong
author_facet Zhu, Zhaozhong
Fan, Yunshi
Liu, Yang
Jiang, Taijiao
Cao, Yang
Peng, Yousong
author_sort Zhu, Zhaozhong
collection PubMed
description The African swine fever virus (ASFV) has severely influenced the swine industry of the world. Unfortunately, there is currently no effective antiviral drug or vaccine against the virus. Identification of new anti-ASFV drugs is urgently needed. Here, an up-to-date set of protein–protein interactions between ASFV and swine were curated by integration of protein–protein interactions from multiple sources. Thirty-eight swine proteins were observed to interact with ASFVs and were defined as ASFV-interacting swine proteins. The ASFV-interacting swine proteins were found to play a central role in the swine protein–protein interaction network, with significant larger degree, betweenness and smaller shortest path length than other swine proteins. Some of ASFV-interacting swine proteins also interacted with several other viruses and could be taken as potential targets of drugs for broad-spectrum effect, such as HSP90AB1. Finally, the antiviral drugs which targeted ASFV-interacting swine proteins and ASFV proteins were predicted. Several drugs with either broad-spectrum effect or high specificity on ASFV-interacting swine proteins were identified, such as Polaprezinc and Geldanamycin. Structural modeling and molecular dynamics simulation showed that Geldanamycin could bind with swine HSP90AB1 stably. This work could not only deepen our understanding towards the ASFV-swine interactions, but also help for the development of effective antiviral drugs against the ASFVs.
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spelling pubmed-71274832020-04-09 Prediction of antiviral drugs against African swine fever viruses based on protein–protein interaction analysis Zhu, Zhaozhong Fan, Yunshi Liu, Yang Jiang, Taijiao Cao, Yang Peng, Yousong PeerJ Bioinformatics The African swine fever virus (ASFV) has severely influenced the swine industry of the world. Unfortunately, there is currently no effective antiviral drug or vaccine against the virus. Identification of new anti-ASFV drugs is urgently needed. Here, an up-to-date set of protein–protein interactions between ASFV and swine were curated by integration of protein–protein interactions from multiple sources. Thirty-eight swine proteins were observed to interact with ASFVs and were defined as ASFV-interacting swine proteins. The ASFV-interacting swine proteins were found to play a central role in the swine protein–protein interaction network, with significant larger degree, betweenness and smaller shortest path length than other swine proteins. Some of ASFV-interacting swine proteins also interacted with several other viruses and could be taken as potential targets of drugs for broad-spectrum effect, such as HSP90AB1. Finally, the antiviral drugs which targeted ASFV-interacting swine proteins and ASFV proteins were predicted. Several drugs with either broad-spectrum effect or high specificity on ASFV-interacting swine proteins were identified, such as Polaprezinc and Geldanamycin. Structural modeling and molecular dynamics simulation showed that Geldanamycin could bind with swine HSP90AB1 stably. This work could not only deepen our understanding towards the ASFV-swine interactions, but also help for the development of effective antiviral drugs against the ASFVs. PeerJ Inc. 2020-04-01 /pmc/articles/PMC7127483/ /pubmed/32274268 http://dx.doi.org/10.7717/peerj.8855 Text en © 2020 Zhu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Zhu, Zhaozhong
Fan, Yunshi
Liu, Yang
Jiang, Taijiao
Cao, Yang
Peng, Yousong
Prediction of antiviral drugs against African swine fever viruses based on protein–protein interaction analysis
title Prediction of antiviral drugs against African swine fever viruses based on protein–protein interaction analysis
title_full Prediction of antiviral drugs against African swine fever viruses based on protein–protein interaction analysis
title_fullStr Prediction of antiviral drugs against African swine fever viruses based on protein–protein interaction analysis
title_full_unstemmed Prediction of antiviral drugs against African swine fever viruses based on protein–protein interaction analysis
title_short Prediction of antiviral drugs against African swine fever viruses based on protein–protein interaction analysis
title_sort prediction of antiviral drugs against african swine fever viruses based on protein–protein interaction analysis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127483/
https://www.ncbi.nlm.nih.gov/pubmed/32274268
http://dx.doi.org/10.7717/peerj.8855
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