The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
The moonlighting enzyme CD13: old and new functions to target
Open accessAbstract
Aminopeptidase N (CD13) is a widely expressed ectoenzyme with functions that do not always depend on its enzymatic activity: an aspect that has been overlooked. Numerous CD13-targeting tools have been developed in the last few years. Several of them are already undergoing clinical trials, and there are promising reports on the effectiveness of others in animal models of disease. However, their efficacy might be obscured by their effects on unrecognized functions of CD13, resulting in unexpected complications. The purpose of this review is (i) to discuss the various functions ascribed to CD13 and the possible mechanisms behind them and (ii) to consider some of the questions that need to be answered to achieve a better understanding of the biological relevance of these functions, a more precise interpretation of the results obtained after their manipulation and a more rational design of CD13-targeting agents.
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The target of ezetimibe is Niemann-Pick C1-Like 1 (NPC1L1)
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Moonlighting proteins: old proteins learning new tricks
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Aminopeptidase N (CD13) as a target for cancer chemotherapy
Wickström, M., Larsson, R., Nygren, P., & Gullbo, J. (2011) · Cancer Science · doi:10.1111/j.1349-7006.2010.01826.x · Cited by 358
Positioning of aminopeptidase inhibitors in next generation cancer therapy
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Metadata
- Authors
- Mina-Osorio, P.
- Venue
- Trends in Molecular Medicine
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 14
- Issue
- 8
- Pages
- 361-371
- ISSN
- 1471-4914 (ISSN-L)
- OpenAlex
- W1983342808
- Cited by
- 405
- References
- 75
- FWCI
- 0.70
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
