Cited by 98SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research StudiesComputational Drug Discovery Methods

Current Status of COVID-19 Therapies and Drug Repositioning Applications

Open access
Altay, Ozlem, Mohammadi, Elyas, Lam, Simon, Turkez, Hasan, Boren, Jan, Nielsen, Jens, Uhlen, Mathias, Mardinoglu, Adil·2020·iScience

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.isci.2020.101303

Cites

79 of 79 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

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)
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
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 ›

Are you an author, or do you see a problem with this page? Request a review