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Acta Pharmaceutica Sinica B
Article . 2023 . Peer-reviewed
License: CC BY NC ND
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PubMed Central
Conference object . 2023
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Acta Pharmaceutica Sinica B
Article . 2023
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DIGITAL.CSIC
Article . 2023 . Peer-reviewed
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Emerging drug design strategies in anti-influenza drug discovery

Authors: Chuanfeng Liu; Lide Hu; Guanyu Dong; Ying Zhang; Edeildo Ferreira da Silva-Júnior; Xinyong Liu; Luis Menéndez-Arias; +1 Authors

Emerging drug design strategies in anti-influenza drug discovery

Abstract

Influenza is an acute respiratory infection caused by influenza viruses (IFV), According to the World Health Organization (WHO), seasonal IFV epidemics result in approximately 3-5 million cases of severe illness, leading to about half a million deaths worldwide, along with severe economic losses and social burdens. Unfortunately, frequent mutations in IFV lead to a certain lag in vaccine development as well as resistance to existing antiviral drugs. Therefore, it is of great importance to develop anti-IFV drugs with high efficiency against wild-type and resistant strains, needed in the fight against current and future outbreaks caused by different IFV strains. In this review, we summarize general strategies used for the discovery and development of antiviral agents targeting multiple IFV strains (including those resistant to available drugs). Structure-based drug design, mechanism-based drug design, multivalent interaction-based drug design and drug repurposing are amongst the most relevant strategies that provide a framework for the development of antiviral drugs targeting IFV.

Country
Spain
Keywords

Anti-drug resistance, Broad spectrum, Therapeutics. Pharmacology, RM1-950, Review, Influenza virus, Drug design strategies, High efficiency

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selected citations
These citations are derived from selected sources.
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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30
Top 10%
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Top 1%
29
54
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