Cited by 15Computational Drug Discovery MethodsPharmaceutical Economics and PolicyProtein Degradation and Inhibitors

Novel drug targets in 2021

Open access
Avram, Sorin, Halip, Liliana, Curpan, Ramona, Oprea, Tudor I.·2022·Nature Reviews Drug Discovery

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 · 10.1038/d41573-022-00057-7

Cites

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?

  • Analysis of novel MoA drug targets published annually in Nature Reviews Drug Discovery with data pulled from DrugCentral shows, on average, an enrichment rate of 15 novel drug targets per year.

    “The analysis of novel MoA drug targets (targets that an approved drug had not previously perturbed) published annually in the Nature Reviews Drug Discovery series (33,34,41,42) with data pulled from DrugCentral, shows, on average, an enrichment rate of 15 novel drug targets per year”

Self-check

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

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

Cited by

Sorted by citations

Authors
Avram, S., Halip, L., Curpan, R., & Oprea, T. I.
Affiliations
Roivant Sciences (United States) (US)
Corresponding author
Oprea, Tudor I.
Venue
Nature Reviews Drug Discovery
Published
2022-03-31
Volume
21
Issue
5
Pages
328-328
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W4220784339
Cited by
15
References
0
Citations by year
2026: 2 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 3
FWCI
1.76
Type
journal article
Language
en
Open access
Locations
  • Nature Reviews Drug Discovery (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • Common Fund
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
Keywords
novel drug targets, new drug approvals, mechanism of action, monoclonal antibodies, SARS-CoV-2 spike protein, COVID-19 treatment, thymic stromal lymphopoietin, IL-17F, IL-13, ANGPTL3, neonatal Fc receptor, NPR2, pegcetacoplan, paroxysmal nocturnal hemoglobinuria, rare diseases, drug labels
MeSH terms
Antimalarials, Humans, Drug Discovery

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