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Cited by 872Computational Drug Discovery MethodsBioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Trends in the exploitation of novel drug targets

Rask-Andersen, Mathias, Almén, Markus Sällman, Schiöth, Helgi B.·2011·Nature Reviews Drug Discovery
DOI 10.1038/nrd3478
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Abstract

The discovery and exploitation of new drug targets is a key focus for both the pharmaceutical industry and academic biomedical research. To provide an insight into trends in the exploitation of new drug targets, we have analysed the drugs that were approved by the US Food and Drug Administration during the past three decades and examined the interactions of these drugs with therapeutic targets that are encoded by the human genome, using the DrugBank database and extensive manual curation. We have identified 435 effect-mediating drug targets in the human genome, which are modulated by 989 unique drugs, through 2,242 drug-target interactions. We also analyse trends in the introduction of drugs that modulate previously unexploited targets, and discuss the network pharmacology of the drugs in our data set.

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Metadata

Authors
Rask-Andersen, M., Almén, M. S., & Schiöth, H. B.
Affiliations
Uppsala University (SE)
Corresponding author
Schiöth, Helgi B.
ORCID
Venue
Nature Reviews Drug Discovery
Publisher
Springer Science and Business Media LLC
Published
2011-08
Volume
10
Issue
8
Pages
579-590
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
DOI
10.1038/nrd3478
OpenAlex
W2029335938
Cited by
853
References
18
Citations by year
2026: 15 · 2025: 35 · 2024: 40 · 2023: 35 · 2022: 50 · 2021: 36 · 2020: 45 · 2019: 63 · 2018: 80 · 2017: 83 · 2016: 82 · 2015: 91 · 2014: 71 · 2013: 69 · 2012: 45
FWCI
59.67
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Nature Reviews Drug Discovery (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Brain Research Foundation
  • Vetenskapsrådet
Topics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Health Sciences › Medicine › Health Informatics › Biomedical Text Mining and Ontologies
Keywords
novel drug targets, drug-target interactions, FDA-approved drugs, network pharmacology, DrugBank
MeSH terms
Humans, United States, United States Food and Drug Administration, Genome, Human, Databases, Factual, Drug Approval, Receptors, G-Protein-Coupled, Drug Discovery

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