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Cited by 373

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Peptide Antagonists of the Human Estrogen Receptor

Norris, John D., Paige, Lisa A., Christensen, Dale J., Chang, Ching-Yi, Huacani, Maria R., Fan, Daju, Hamilton, Paul T., Fowlkes, Dana M., McDonnell, Donald P.·1999·Science

Abstract

Estrogen receptor α transcriptional activity is regulated by distinct conformational states that are the result of ligand binding. Phage display was used to identify peptides that interact specifically with either estradiol- or tamoxifen-activated estrogen receptor α. When these peptides were coexpressed with estrogen receptor α in cells, they functioned as ligand-specific antagonists, indicating that estradiol-agonist and tamoxifen–partial agonist activities do not occur by the same mechanism. The ability to regulate estrogen receptor α transcriptional activity by targeting sites outside of the ligand-binding pocket has implications for the development of estrogen receptor α antagonists for the treatment of tamoxifen-refractory breast cancers.

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Crossref · 10.1126/science.285.5428.744

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Metadata

Authors
Norris, J. D., Paige, L. A., Christensen, D. J., Chang, C.-Y., Huacani, M. R., Fan, D., Hamilton, P. T., Fowlkes, D. M., & McDonnell, D. P.
Venue
Science
Published
1999-07-30
Volume
285
Issue
5428
Pages
744-746
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2070440733
Cited by
373
References
11
FWCI
21.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Peptide Antagonists of the Human Estrogen Receptor. https://app.cochat.ai/papers/10.1126/science.285.5428.744
The paper
Norris, J. D., Paige, L. A., Christensen, D. J., Chang, C.-Y., Huacani, M. R., Fan, D., Hamilton, P. T., Fowlkes, D. M., & McDonnell, D. P. (1999). Peptide Antagonists of the Human Estrogen Receptor. Science. https://doi.org/10.1126/science.285.5428.744

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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.