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Cited by 272

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

Developing β‐secretase inhibitors for treatment of Alzheimer’s disease

Open access
Ghosh, Arun K., Brindisi, Margherita, Tang, Jordan·2012·Journal of Neurochemistry

Abstract

J. Neurochem. (2012) 120 (Suppl. 1), 71–83. β‐Secretase (memapsin 2; BACE‐1) is the first protease in the processing of amyloid precursor protein leading to the production of amyloid‐β (Aβ) in the brain. It is believed that high levels of brain Aβ are responsible for the pathogenesis of Alzheimer’s disease (AD). Therefore, β‐secretase is a major therapeutic target for the development of inhibitor drugs. During the past decade, steady progress has been made in the evolution of β‐secretase inhibitors toward better drug properties. Recent inhibitors are potent, selective and have been shown to penetrate the blood‐brain barrier to inhibit Aβ levels in the brains of experimental animals. Moreover, continuous administration of a β‐secretase inhibitor was shown to rescue age‐related cognitive decline in transgenic AD mice. A small number of β‐secretase inhibitors have also entered early phase clinical trials. These developments offer some optimism for the clinical development of a disease‐modifying drug for AD.

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Crossref · 10.1111/j.1471-4159.2011.07476.x

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Metadata

Authors
Ghosh, A. K., Brindisi, M., & Tang, J.
Venue
Journal of Neurochemistry
Publisher
Wiley
Published
2011-11-28
Volume
120
Issue
s1
Pages
71-83
ISSN
  • 0022-3042 (ISSN-L)
  • 1471-4159
OpenAlex
W1816679421
Cited by
272
References
71
FWCI
17.53
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Developing β‐secretase inhibitors for treatment of Alzheimer’s disease. https://app.cochat.ai/papers/10.1111/j.1471-4159.2011.07476.x
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Ghosh, A. K., Brindisi, M., & Tang, J. (2012). Developing β‐secretase inhibitors for treatment of Alzheimer’s disease. Journal of Neurochemistry. https://doi.org/10.1111/j.1471-4159.2011.07476.x

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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.