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Journal of Medicinal Chemistry
Article . 2020 . Peer-reviewed
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Journal of Medicinal Chemistry
Article . 2020 . Peer-reviewed
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COVID-19: Drug Targets and Potential Treatments

Authors: Gil, Carmen; Ginex, Tiziana; Maestro, Inés; Nozal, Vanesa; Barrado-Gil, Lucía; Cuesta-Geijo, Miguel Ángel; Urquiza, Jesús; +4 Authors

COVID-19: Drug Targets and Potential Treatments

Abstract

Currently, humans are immersed in a pandemic caused by the emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which threatens public health worldwide. To date, no drug or vaccine has been approved to treat the severe disease caused by this coronavirus, COVID-19. In this paper, we will focus on the main virus-based and host-based targets that can guide efforts in medicinal chemistry to discover new drugs for this devastating disease. In principle, all CoV enzymes and proteins involved in viral replication and the control of host cellular machineries are potentially druggable targets in the search for therapeutic options for SARS-CoV-2. This Perspective provides an overview of the main targets from a structural point of view, together with reported therapeutic compounds with activity against SARS-CoV-2 and/or other CoVs. Also, the role of innate immune response to coronavirus infection and the related therapeutic options will be presented.

Keywords

Drug targets, Drug discovery, SARS-CoV-2, Drug Repositioning, COVID-19, Antivirals, Antiviral Agents, Immunity, Innate, COVID-19 Drug Treatment, Drug Discovery, Molecular Medicine, Animals, Humans, Amino Acid Sequence, Enzyme Inhibitors

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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
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394
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121
272
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