A generalized approach to predicting protein-protein interactions between virus and host

Abstract Background Viral infection involves a large number of protein-protein interactions (PPIs) between virus and its host. These interactions range from the initial binding of viral coat proteins to host membrane receptor to the hijacking the host transcription machinery by viral proteins. There...

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Main Authors: Xiang Zhou, Byungkyu Park, Daesik Choi, Kyungsook Han
Format: Article
Language:English
Published: BMC 2018-08-01
Series:BMC Genomics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12864-018-4924-2
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author Xiang Zhou
Byungkyu Park
Daesik Choi
Kyungsook Han
author_facet Xiang Zhou
Byungkyu Park
Daesik Choi
Kyungsook Han
author_sort Xiang Zhou
collection DOAJ
description Abstract Background Viral infection involves a large number of protein-protein interactions (PPIs) between virus and its host. These interactions range from the initial binding of viral coat proteins to host membrane receptor to the hijacking the host transcription machinery by viral proteins. Therefore, identifying PPIs between virus and its host helps understand the mechanism of viral infections and design antiviral drugs. Many computational methods have been developed to predict PPIs, but most of them are intended for PPIs within a species rather than PPIs across different species such as PPIs between virus and host. Results In this study, we developed a prediction model of virus-host PPIs, which is applicable to new viruses and hosts. We tested the prediction model on independent datasets of virus-host PPIs, which were not used in training the model. Despite a low sequence similarity between proteins in training datasets and target proteins in test datasets, the prediction model showed a high performance comparable to the best performance of other methods for single virus-host PPIs. Conclusions Our method will be particularly useful to find PPIs between host and new viruses for which little information is available. The program and support data are available at http://bclab.inha.ac.kr/VirusHostPPI.
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spelling doaj.art-b22b3c40db8e4f93b3ec07fafdcefb412022-12-22T02:55:38ZengBMCBMC Genomics1471-21642018-08-0119S6697710.1186/s12864-018-4924-2A generalized approach to predicting protein-protein interactions between virus and hostXiang Zhou0Byungkyu Park1Daesik Choi2Kyungsook Han3Department of Computer Engineering, Inha UniversityDepartment of Computer Engineering, Inha UniversityDepartment of Computer Engineering, Inha UniversityDepartment of Computer Engineering, Inha UniversityAbstract Background Viral infection involves a large number of protein-protein interactions (PPIs) between virus and its host. These interactions range from the initial binding of viral coat proteins to host membrane receptor to the hijacking the host transcription machinery by viral proteins. Therefore, identifying PPIs between virus and its host helps understand the mechanism of viral infections and design antiviral drugs. Many computational methods have been developed to predict PPIs, but most of them are intended for PPIs within a species rather than PPIs across different species such as PPIs between virus and host. Results In this study, we developed a prediction model of virus-host PPIs, which is applicable to new viruses and hosts. We tested the prediction model on independent datasets of virus-host PPIs, which were not used in training the model. Despite a low sequence similarity between proteins in training datasets and target proteins in test datasets, the prediction model showed a high performance comparable to the best performance of other methods for single virus-host PPIs. Conclusions Our method will be particularly useful to find PPIs between host and new viruses for which little information is available. The program and support data are available at http://bclab.inha.ac.kr/VirusHostPPI.http://link.springer.com/article/10.1186/s12864-018-4924-2Virus and hostInterspecies protein-protein interactionPrediction model
spellingShingle Xiang Zhou
Byungkyu Park
Daesik Choi
Kyungsook Han
A generalized approach to predicting protein-protein interactions between virus and host
BMC Genomics
Virus and host
Interspecies protein-protein interaction
Prediction model
title A generalized approach to predicting protein-protein interactions between virus and host
title_full A generalized approach to predicting protein-protein interactions between virus and host
title_fullStr A generalized approach to predicting protein-protein interactions between virus and host
title_full_unstemmed A generalized approach to predicting protein-protein interactions between virus and host
title_short A generalized approach to predicting protein-protein interactions between virus and host
title_sort generalized approach to predicting protein protein interactions between virus and host
topic Virus and host
Interspecies protein-protein interaction
Prediction model
url http://link.springer.com/article/10.1186/s12864-018-4924-2
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