In Silico Approach towards Designing Virtual Oligopeptides for HRSV

HRSV (human respiratory syncytial virus) is a serious cause of lower respiratory tract illness in infants and young children. Designing inhibitors from the proteins involved in virus replication and infection process provides target for new therapeutic treatments. In the present study, in silico doc...

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Main Authors: Ruchi Jain, Shanmughavel Piramanayagam
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/613293
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author Ruchi Jain
Shanmughavel Piramanayagam
author_facet Ruchi Jain
Shanmughavel Piramanayagam
author_sort Ruchi Jain
collection DOAJ
description HRSV (human respiratory syncytial virus) is a serious cause of lower respiratory tract illness in infants and young children. Designing inhibitors from the proteins involved in virus replication and infection process provides target for new therapeutic treatments. In the present study, in silico docking was performed using motavizumab as a template to design motavizumab derived oligopeptides for developing novel anti-HRSV agents. Additional simulations were conducted to study the conformational propensities of the oligopeptides and confirmed the hypothesis that the designed oligopeptide is highly flexible and capable of assuming stable confirmation. Our study demonstrated the best specific interaction of GEKKLVEAPKS oligopeptide for glycoprotein strain A among various screened oligopeptides. Encouraged by the results, we expect that the proposed scheme will provide rational choices for antibody reengineering which is useful for systematically identifying the possible ways to improve efficacy of existing antibody drugs.
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spelling doaj-art-d1e81b6d2de248fba71e61ca59c788d32025-08-20T03:24:02ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/613293613293In Silico Approach towards Designing Virtual Oligopeptides for HRSVRuchi Jain0Shanmughavel Piramanayagam1DBT-Bioinformatics Centre, Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu 641 046, IndiaDBT-Bioinformatics Centre, Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu 641 046, IndiaHRSV (human respiratory syncytial virus) is a serious cause of lower respiratory tract illness in infants and young children. Designing inhibitors from the proteins involved in virus replication and infection process provides target for new therapeutic treatments. In the present study, in silico docking was performed using motavizumab as a template to design motavizumab derived oligopeptides for developing novel anti-HRSV agents. Additional simulations were conducted to study the conformational propensities of the oligopeptides and confirmed the hypothesis that the designed oligopeptide is highly flexible and capable of assuming stable confirmation. Our study demonstrated the best specific interaction of GEKKLVEAPKS oligopeptide for glycoprotein strain A among various screened oligopeptides. Encouraged by the results, we expect that the proposed scheme will provide rational choices for antibody reengineering which is useful for systematically identifying the possible ways to improve efficacy of existing antibody drugs.http://dx.doi.org/10.1155/2014/613293
spellingShingle Ruchi Jain
Shanmughavel Piramanayagam
In Silico Approach towards Designing Virtual Oligopeptides for HRSV
The Scientific World Journal
title In Silico Approach towards Designing Virtual Oligopeptides for HRSV
title_full In Silico Approach towards Designing Virtual Oligopeptides for HRSV
title_fullStr In Silico Approach towards Designing Virtual Oligopeptides for HRSV
title_full_unstemmed In Silico Approach towards Designing Virtual Oligopeptides for HRSV
title_short In Silico Approach towards Designing Virtual Oligopeptides for HRSV
title_sort in silico approach towards designing virtual oligopeptides for hrsv
url http://dx.doi.org/10.1155/2014/613293
work_keys_str_mv AT ruchijain insilicoapproachtowardsdesigningvirtualoligopeptidesforhrsv
AT shanmughavelpiramanayagam insilicoapproachtowardsdesigningvirtualoligopeptidesforhrsv