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African Journal of Biotechnology
Article . 2012 . Peer-reviewed
Data sources: Crossref
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In silico design of cyclic peptides as influenza virus, a subtype H1N1 neuraminidase inhibitor

Authors: Usman Sumo Friend Tambunan; Noval Amri; Arli Aditya Parikesit;

In silico design of cyclic peptides as influenza virus, a subtype H1N1 neuraminidase inhibitor

Abstract

Nowadays, influenza has become a global public health concern because it is responsible for significant morbidity and mortality due to annual epidemics and unpredictable pandemics. There are only limited options to control this respiratory disease. Vaccine treatment is useless for controlling this disease because of the occurrence of mutation in the influenza virus. Influenza virus is also resistant to some antiviral drugs like oseltamivir and zanamivir, which inhibit neuraminidase. Another solution for controlling this virus is to find new design for antiviral drugs. Cyclic peptides can be used to make new antiviral drug design especially to inhibit neuraminidase activity by using ’structure-based design’ method. Based on molecular docking, new antiviral drug designs have been found. They are DNY, NNY, DDY, DYY, RRR, RPR, RRP and LRL. These cyclic peptides showed better activity and affinity than standard ligand to inhibit neuraminidase activity. From drug scan, DNY, NNY and LRL ligands have low toxicity and were predicted to have at least 59% possibility that it could be synthesized in wet laboratory experiment.Key words: Influenza virus A, neuraminidase, cyclic peptide, structure based design, molecular docking.

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Keywords

Influenza virus A, neuraminidase, cyclic peptide, structure based design, molecular docking.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Average
gold