Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 96

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Impact of Genomics on Drug Discovery

Debouck, C., Metcalf, B.·2000·Annual Review of Pharmacology and Toxicology

Abstract

High-throughput gene sequencing has revolutionized the process used to identify novel molecular targets for drug discovery. Thousands of new gene sequences have been generated but only a limited number of these can be converted into validated targets likely to be involved in disease. We describe here some of the approaches used at SmithKline Beecham to select and validate novel targets. These include the identification of selective tissue gene product expression, such as for cathepsin K, a novel osteoclast-specific cysteine protease. We also describe the discovery and functional characterization of novel members of the G-protein coupled receptor superfamily and their pairing with natural ligands. Lastly, we discuss the promises of gene microarrays and proteomics, developing technologies that allow the parallel analyses of tissue expression patterns of thousands of genes or proteins, respectively.

Overview

Integrity signals

Registry

Crossref · 10.1146/annurev.pharmtox.40.1.193

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Show all 1 references

Research works printed but not linked: 37

  1. Adams MD, Kelley JM, Gocayne JD, Dubnick M, Polymeropoulos MH, et al. 1991. Complementary DNA sequencing: expressed sequence tags and human genome project.Science252:1651–56 · DOI
  2. Pandey A, Lewitter F. 1999. Nucleotide sequence databases: a gold mine for biologists.Trends Biochem. Sci.24:276–80 · DOI
  3. 10.1016/S0167-7799(99)01316-5 · DOI
  4. 10.1101/gr.6.9.807 · DOI
  5. 10.1177/39.7.1865107 · DOI
  6. 10.1074/jbc.271.21.12511 · DOI · Paper page
  7. Bossard MJ, Tomaszek TA, Thompson SK, Amegadzie BY, Hanning CR, et al. 1996. Proteolytic activity of human osteoclast cathepsin K: expression, purification, activation and substrate identification.J. Biol. Chem.271:12517–24 · DOI · Paper page
  8. 10.1126/science.273.5279.1236 · DOI
  9. Saftig P, Hunziker E, Wehmeyer O, Jones S, Boyde A, et al. 1998. Impaired osteoclastic bone resorption leads to osteopetrosis in cathepsin-K-deficient mice. Proc. Natl. Acad. Sci. USA95:13453–58 · DOI · Paper page
  10. Gowen M, Lazner F, Dodds R, Field J, Tavaria M, et al. 1999. Cathepsin K knockout mice develop osteopetrosis due to a deficit in matrix degradation but not demineralization.J. Bone Miner. Res.In press · DOI
  11. 10.1038/nsb0297-109 · DOI
  12. 10.1021/ja972204u · DOI
  13. 10.1359/jbmr.1997.12.9.1396 · DOI
  14. 1981, Cancer Res., 41, 894
  15. 1971, J. Biol. Chem., 246, 3210, 10.1016/S0021-9258(18)62216-1 · DOI
  16. Stadel JM, Wilson S, Bergsma DJ. 1997. Orphan G protein-coupled receptors: a neglected opportunity for pioneer drug discovery.TrendsPharmacol. Sci.18:430–37 · DOI
  17. 10.1038/22313 · DOI
  18. 1990, J. Pharm. Exp. Ther., 252, 711
  19. Clitherow JW, Scopes DIC, Skingle M, Jordan CC, Feniuk W, et al. 1994. Evolution of a novel series of [(N,N-dimethylamino)propyl]- and piperazinylbenzanilides as the first selective 5-HT1Dantagonists. J. Med. Chem.37:2253–57 · DOI
  20. Elliott JD, Bryan DL, Nambi P, Ohlstein EH. 1996. A novel series of non-peptide endothelin receptor antagonists. InPeptides: Chemistry, Structure and Biology,ed.PTP Kaumaya, RS Hodges, pp. 673– 75. Kingswinford, UK: Mayflower Sci.
  21. 10.1021/ja00153a024 · DOI
  22. 1997, Nature, 387, 7
  23. C. elegansSequencing Consort. 1998. Genome sequence of the nematodeCaenorhabditis elegans.A platform for investigating biology.Science282:2012– 18 · DOI
  24. 10.1038/nbt1296-1675 · DOI
  25. 10.1126/science.270.5235.467 · DOI · Paper page
  26. Mooney J, Kayne P, O’Brien S, Debouck C. 2000. Construction and applications of gene microarrays on nylon membranes. InPCR5: Differential Display: A Practical Approach,ed. R Leslie, H Robertson. New York: Oxford Univ. Press. In press · DOI
  27. 10.1038/4475 · DOI
  28. Wang T, Brown MJ. 1999. mRNA quantification by real time TaqMan polymerase chain reaction: validation and comparison with RNase protection.Anal. Biochem.269:198–201 · DOI
  29. Blackstock WP, Weir MP. 1999. Proteomics: quantitative and physical mapping of cellular proteins.Trends Biotechnol.17:121–27 · DOI · Paper page
  30. 10.1021/bi982093r · DOI
  31. 10.1038/10890 · DOI
  32. 10.1016/S0168-9525(97)01355-3 · DOI
  33. 10.1101/gr.8.4.362 · DOI
  34. 10.1016/S0959-440X(99)80054-2 · DOI
  35. 10.1126/science.281.5384.1820 · DOI
  36. Pope AJ, Haupts UM, Moore KJ. 1998. Homogeneous fluorescence readouts for miniaturized high-throughput screening: theory and practice.Drug Disc. Today4:350–62 · DOI
  37. 10.1146/annurev.pharmtox.40.1.177 · DOI

Cited by

See all 96

Metadata

Authors
Debouck, C., & Metcalf, B.
Venue
Annual Review of Pharmacology and Toxicology
Published
2000-04
Volume
40
Issue
1
Pages
193-208
ISSN
  • 0362-1642
  • 1545-4304
Cited by
96
References
1
Language
en

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Impact of Genomics on Drug Discovery. https://app.cochat.ai/papers/10.1146/annurev.pharmtox.40.1.193
The paper
Debouck, C., & Metcalf, B. (2000). The Impact of Genomics on Drug Discovery. Annual Review of Pharmacology and Toxicology. https://doi.org/10.1146/annurev.pharmtox.40.1.193

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.