Abstract
Background: Accurate and swift detection of viruses causing diseases in humans represent continuous challenges to diagnostic and epidemiological research. Efficient and rapid diagnosis is crucial for effective implication of disease management strategies. Multitude approaches attempted to identify individual viruses, includes serological assays and molecular methods. Detection assays based on peptides have become increasingly substantial and indispensable for its advantages over conventional methods.
Methods: We have primarily outlined the progress made in peptide based diagnostic systems for the commonly found viral infections in India - Influenza virus, Chikungunya virus, Dengue virus, Rotavirus, Japanese encephalitis virus (JEV), Epstein-Barr virus (EBV), Human Immunodeficiency virus (HIV) and Hepatitis C virus (HCV). Further, we have documented the recent advancements that could impact the upcoming developments of peptide based diagnostic assays. Results: In this review we identified that very few studies in development of peptide based assays for viral infections has been reported. In a country specific scenario like India and its burdened health care system, sensitive and rapid diagnostic kits based on peptides could be considered as a better alternative to the conventional serological tests including whole antigenic proteins. Conclusion: The finding of this review uncovers the importance of a peptide based diagnostic system for rapid detection of viral infections. Even though, in recent times, peptide based assays have intrigued researchers, further work in this domain is entailed.Keywords: Peptides, immunodiagnostics, virus, influenza, chikungunya, dengue, rotavirus, India.
Current Protein & Peptide Science
Title:Peptide Based Viral Detection Systems for Effective Diagnosis of Common Viral Infections in India
Volume: 18 Issue: 9
Author(s): Ushanandini Mohanraj*, Suresh Chander and Yashwant G. Chavan
Affiliation:
- 301, Dhanashree Apartments, Chitaranjan vatika, Model Colony, Shivaji Nagar, Pune, Maharashtra 411016. Department of Virology and Bioinformatics, RASA Lifescience Informatics, Pune,India
Keywords: Peptides, immunodiagnostics, virus, influenza, chikungunya, dengue, rotavirus, India.
Abstract: Background: Accurate and swift detection of viruses causing diseases in humans represent continuous challenges to diagnostic and epidemiological research. Efficient and rapid diagnosis is crucial for effective implication of disease management strategies. Multitude approaches attempted to identify individual viruses, includes serological assays and molecular methods. Detection assays based on peptides have become increasingly substantial and indispensable for its advantages over conventional methods.
Methods: We have primarily outlined the progress made in peptide based diagnostic systems for the commonly found viral infections in India - Influenza virus, Chikungunya virus, Dengue virus, Rotavirus, Japanese encephalitis virus (JEV), Epstein-Barr virus (EBV), Human Immunodeficiency virus (HIV) and Hepatitis C virus (HCV). Further, we have documented the recent advancements that could impact the upcoming developments of peptide based diagnostic assays. Results: In this review we identified that very few studies in development of peptide based assays for viral infections has been reported. In a country specific scenario like India and its burdened health care system, sensitive and rapid diagnostic kits based on peptides could be considered as a better alternative to the conventional serological tests including whole antigenic proteins. Conclusion: The finding of this review uncovers the importance of a peptide based diagnostic system for rapid detection of viral infections. Even though, in recent times, peptide based assays have intrigued researchers, further work in this domain is entailed.Export Options
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Cite this article as:
Mohanraj Ushanandini*, Chander Suresh and Chavan G. Yashwant, Peptide Based Viral Detection Systems for Effective Diagnosis of Common Viral Infections in India, Current Protein & Peptide Science 2017; 18 (9) . https://dx.doi.org/10.2174/1389203717666160724205226
DOI https://dx.doi.org/10.2174/1389203717666160724205226 |
Print ISSN 1389-2037 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5550 |
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