Current Status of COVID-19 Therapies and Drug Repositioning Applications
Open accessAbstract
The rapid and global spread of a new human coronavirus (SARS-CoV-2) has produced an immediate urgency to discover promising targets for the treatment of COVID-19. Drug repositioning is an attractive approach that can facilitate the drug discovery process by repurposing existing pharmaceuticals to treat illnesses other than their primary indications. Here, we review current information concerning the global health issue of COVID-19 including promising approved drugs and ongoing clinical trials for prospective treatment options. In addition, we describe computational approaches to be used in drug repurposing and highlight examples of in silico studies of drug development efforts against SARS-CoV-2.
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Fluoxetine has been found to be beneficial against COVID-19 infections.
“The antidepressants fluoxetine has been found to be beneficial against COVID-19 infections [6].”
From Antimicrobial Properties of Antidepressants and Antipsychotics—Possibilities and Implications (2021) · cites this paper as [6]
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- Authors
- Altay, O., Mohammadi, E., Lam, S., Turkez, H., Boren, J., Nielsen, J., Uhlen, M., & Mardinoglu, A.
- Affiliations
- Science for Life Laboratory (SE)
- King's College London (GB)
- Chalmers University of Technology (SE)
- Venue
- iScience
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 23
- Issue
- 7
- Pages
- 101303
- ISSN
- 2589-0042 (ISSN-L)
- PMC
- PMC7305759
- OpenAlex
- W3036732116
- Cited by
- 98
- References
- 78
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 11 · 2023: 9 · 2022: 16 · 2021: 37 · 2020: 17
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- iScience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Funders
- Knut och Alice Wallenbergs Stiftelse
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Keywords
- COVID-19 pandemic, SARS-CoV-2, drug repurposing, COVID-19 treatment, approved drugs, clinical trials, computational drug discovery, antiviral drug targets
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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