Protein-Protein Interactions Inferred from Domain-Domain Interactions in Genogroup II Genotype 4 Norovirus Sequences

Severe gastroenteritis and foodborne illness caused by Noroviruses (NoVs) during the winter are a worldwide phenomenon. Vulnerable populations including young children and elderly and immunocompromised people often require hospitalization and may die. However, no efficient vaccine for NoVs exists be...

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Main Authors: Chuan-Ching Huang, Chuan Yi Tang
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2013/456356
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spelling doaj-daf5bfaeb3814ba8a9d92f14c0dd063b2020-11-25T01:29:37ZengHindawi LimitedInternational Journal of Genomics2314-436X2314-43782013-01-01201310.1155/2013/456356456356Protein-Protein Interactions Inferred from Domain-Domain Interactions in Genogroup II Genotype 4 Norovirus SequencesChuan-Ching Huang0Chuan Yi Tang1Department of Computer Sciences, National Tsing Hua University, Hsinchu 30013, TaiwanDepartment of Computer Sciences and Information Engineering, Providence University, Taichung 43301, TaiwanSevere gastroenteritis and foodborne illness caused by Noroviruses (NoVs) during the winter are a worldwide phenomenon. Vulnerable populations including young children and elderly and immunocompromised people often require hospitalization and may die. However, no efficient vaccine for NoVs exists because of their variable genome sequences. This study investigates the infection processes in protein-protein interactions between hosts and NoVs. Protein-protein interactions were collected from related Pfam NoV domains. The related Pfam domains were accumulated incrementally from the protein domain interaction database. To examine the influence of domain intimacy, the 7 NoV domains were grouped by depth. The number of domain-domain interactions increased exponentially as the depth increased. Many protein-protein interactions were relevant; therefore, cloud techniques were used to analyze data because of their computational capacity. The infection relationship between hosts and NoVs should be used in clinical applications and drug design.http://dx.doi.org/10.1155/2013/456356
collection DOAJ
language English
format Article
sources DOAJ
author Chuan-Ching Huang
Chuan Yi Tang
spellingShingle Chuan-Ching Huang
Chuan Yi Tang
Protein-Protein Interactions Inferred from Domain-Domain Interactions in Genogroup II Genotype 4 Norovirus Sequences
International Journal of Genomics
author_facet Chuan-Ching Huang
Chuan Yi Tang
author_sort Chuan-Ching Huang
title Protein-Protein Interactions Inferred from Domain-Domain Interactions in Genogroup II Genotype 4 Norovirus Sequences
title_short Protein-Protein Interactions Inferred from Domain-Domain Interactions in Genogroup II Genotype 4 Norovirus Sequences
title_full Protein-Protein Interactions Inferred from Domain-Domain Interactions in Genogroup II Genotype 4 Norovirus Sequences
title_fullStr Protein-Protein Interactions Inferred from Domain-Domain Interactions in Genogroup II Genotype 4 Norovirus Sequences
title_full_unstemmed Protein-Protein Interactions Inferred from Domain-Domain Interactions in Genogroup II Genotype 4 Norovirus Sequences
title_sort protein-protein interactions inferred from domain-domain interactions in genogroup ii genotype 4 norovirus sequences
publisher Hindawi Limited
series International Journal of Genomics
issn 2314-436X
2314-4378
publishDate 2013-01-01
description Severe gastroenteritis and foodborne illness caused by Noroviruses (NoVs) during the winter are a worldwide phenomenon. Vulnerable populations including young children and elderly and immunocompromised people often require hospitalization and may die. However, no efficient vaccine for NoVs exists because of their variable genome sequences. This study investigates the infection processes in protein-protein interactions between hosts and NoVs. Protein-protein interactions were collected from related Pfam NoV domains. The related Pfam domains were accumulated incrementally from the protein domain interaction database. To examine the influence of domain intimacy, the 7 NoV domains were grouped by depth. The number of domain-domain interactions increased exponentially as the depth increased. Many protein-protein interactions were relevant; therefore, cloud techniques were used to analyze data because of their computational capacity. The infection relationship between hosts and NoVs should be used in clinical applications and drug design.
url http://dx.doi.org/10.1155/2013/456356
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