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
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“However the experiment failed to confirm the vibrational theory of neuroreception as they report that selective deuteration had no influence on binding affinity or activation 116 .”
From Quantum effects in the brain: A review (2020) · cites this paper as [116]
Citations
Cites
Goodman & Gilman's The Pharmacological Basis of Therapeutics
Brunton, L. L. (1985) · Cited by 7,321
Goodman and Gilman's the Pharmacological Basis of Therapeutics
Stigelman, W. H., & Pharm, D. (1986) · Military Medicine · doi:10.1093/milmed/151.1.386 · Cited by 6,796
Network pharmacology: the next paradigm in drug discovery
Hopkins, A. L. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.118 · Cited by 4,622
DrugBank: a comprehensive resource for in silico drug discovery and exploration
Wishart, D. S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj067 · Cited by 3,892
How to improve R&D productivity: the pharmaceutical industry's grand challenge
Paul, S. M., Mytelka, D. S., Dunwiddie, C. T., Persinger, C. C., Munos, B. H., Lindborg, S. R., & Schacht, A. L. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3078 · Cited by 3,566
How many drug targets are there?
Overington, J. P., Al-Lazikani, B., & Hopkins, A. L. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd2199 · Cited by 3,505
Hopkins, A. L., & Groom, C. R. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd892 · Cited by 3,305
DrugBank: a knowledgebase for drugs, drug actions and drug targets
Wishart, D. S., Knox, C., Guo, A. C., Cheng, D., Shrivastava, S., Tzur, D., Gautam, B., & Hassanali, M. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm958 · Cited by 2,896
Drug Discovery: A Historical Perspective
Drews, J. (2000) · Science · doi:10.1126/science.287.5460.1960 · Cited by 2,805
DrugBank 3.0: a comprehensive resource for 'Omics' research on drugs
Knox, C., Law, V., Jewison, T., Liu, P., Ly, S., Frolkis, A., Pon, A., Banco, K., Mak, C., Neveu, V., et al. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1126 · Cited by 1,832
Flagged first, then by citations
Cited by
Sorted by citations
Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
Gao, J., Aksoy, B. A., Dogrusoz, U., Dresdner, G., Gross, B., Sumer, S. O., Sun, Y., Jacobsen, A., Sinha, R., Larsson, E., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004088 · Cited by 15,160
Discovery and resupply of pharmacologically active plant-derived natural products: A review
Atanasov, A. G., Waltenberger, B., Pferschy‐Wenzig, E., Linder, T., Wawrosch, C., Uhrín, P., Temml, V., Wang, L., Schwaiger, S., Heiß, E. H., et al. (2015) · Biotechnology Advances · doi:10.1016/j.biotechadv.2015.08.001 · Cited by 3,105
Trends in GPCR drug discovery: new agents, targets and indications
Hauser, A. S., Attwood, M. M., Rask‐Andersen, M., Schiöth, H. B., & Gloriam, D. E. I. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.178 · Cited by 2,714
Self-citationA comprehensive map of molecular drug targets
Santos, R., Ursu, O., Gaulton, A., Bento, A. P., Donadi, R. S., Bologa, C. G., Karlsson, A., Al-Lazikani, B., Hersey, A., Oprea, T. I., et al. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.230 · Cited by 2,427
Monitoring Drug Target Engagement in Cells and Tissues Using the Cellular Thermal Shift Assay
Molina, D. M., Jafari, R., Ignatushchenko, M., Seki, T., Larsson, E. A., Dan, C., Sreekumar, L., Cao, Y., & Nordlund, P. (2013) · Science · doi:10.1126/science.1233606 · Cited by 2,261
Metadata
- Authors
- Rask-Andersen, M., Almén, M. S., & Schiöth, H. B.
- Affiliations
- Uppsala University (SE)
- Corresponding author
- Schiöth, Helgi B.
- Venue
- Nature Reviews Drug Discovery
- Published
- 2011-08
- Volume
- 10
- Issue
- 8
- Pages
- 579-590
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- 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
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