The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Classification of Metal-Based Drugs according to Their Mechanisms of Action
Open accessAbstract
Metal-based drugs and imaging agents are extensively used in the clinic for the treatment and diagnosis of cancers and a wide range of other diseases. The current clinical arsenal of compounds operate via a limited number of mechanisms, whereas new putative compounds explore alternative mechanisms of action, which could potentially bring new chemotherapeutic approaches into the clinic. In this review, metal-based drugs and imaging agents are characterized according to their primary mode of action and the key properties and features of each class of compounds are defined, wherever possible. A better understanding of the roles played by metal compounds at a mechanistic level will help to deliver new metal-based therapies to the clinic, by providing an alternative, targeted and rational approach, to supplement non-targeted screening of novel chemical entities for biological activity.
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Supramolecular cancer nanotheranostics
Zhou, J., Rao, L., Yu, G., Cook, T. R., Chen, X., & Huang, F. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00011f · Cited by 411
Metallodrugs in cancer nanomedicine
Peña, Q., Wang, A., Zaremba, O., Shi, Y., Scheeren, H. W., Metselaar, J. M., Kiessling, F., Pallares, R. M., Wuttke, S., & Lammers, T. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00468a · Cited by 259
Metadata
- Authors
- Boros, E., Dyson, P. J., & Gasser, G.
- Venue
- Chem
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 6
- Issue
- 1
- Pages
- 41-60
- ISSN
- 2451-9294 (ISSN-L)
- OpenAlex
- W2985356160
- Cited by
- 437
- References
- 92
- FWCI
- 14.87
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
