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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

Bioinformatics Methods to Discover Antivirals Against Zika Virus

verfasst von : Karina Salvatierra, Marcos Vera, Hector Florez

Erschienen in: Applied Informatics

Verlag: Springer International Publishing

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Abstract

Zika virus is a member of the Flaviviridae virus family, similar to other viruses that affect humans, such as hepatitis C and dengue virus. After its first appearance in 1947, Zika virus reappeared in 2016 causing an international public health emergency. Zika virus was considered a non dangerous human pathogen; however, it is currently considered a pathogen with serious consequences for human health, showing association with neurological complications such as Guillain-Barre syndrome and microcephaly. Then, it is necessary to get antivirals able to inhibit the replication of the Zika virus since vaccines for this virus are not yet available. Zika virus structure is similar to hepatitis C virus structure. This characteristic suggests that anti-hepatitis C virus agents can be used as alternative in treatments against the Zika virus. This work aims to determine a non-nucleoside analogue antivirals that can be considered possible antivirals against Zika virus. In this study, we used computational methods to analyze the Docking and the modeling of the NS5 polymerase of Zika virus and antivirals.

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Vorheriges Kapitel Correction to: Applied Informatics
Nächstes Kapitel Academic Behavior Analysis in Virtual Courses Using a Data Mining Approach
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Metadaten
Titel
Bioinformatics Methods to Discover Antivirals Against Zika Virus
verfasst von
Karina Salvatierra
Marcos Vera
Hector Florez
Copyright-Jahr
2019
Buch
Applied Informatics

Print ISBN: 978-3-030-32474-2

Electronic ISBN: 978-3-030-32475-9

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-32475-9_1