"Good Fashion is Evolution, Not Revolution" - Methods to Enhance Existing Anticancer Medicines, Primarily with the Use of Transition Metal.

来自 PUBMED

作者:

Guzowska MKalinowska MLewandowski W

展开

摘要:

The constant search for successful cancer therapies lasts for decades. Apart from the huge scientific effort and enormous sum of spent money, only a small amount of newly developed medicines move into clinical use (only 94 registered anticancer drugs in the last 12 years). Anticancer regimes are still overcome by drugs invented over 50 years ago such as cisplatin and doxorubicin. Significant progress in the development of improved anticancer drugs was made due to multiple studies on the relationship between the molecular structure of chemical compounds and their cytostatic activity. A number of ligands (mainly organic) with quite effective anticancer properties are known, but they show insufficient activity, selectivity and multidrug resistance. Formation of transition metal - ligand complexes (with proven anticancer effect) changes the properties of the latter. The factors that affect the cytotoxic properties of metal complexes are: the type of ligand and metal, the nature of the connection between metal and ligand, and the distribution of electronic charge density in the formed complexes. Here, we report the recent efforts to improve existing compounds with confirmed anticancer activity. They seem to be unappreciated as their effects appear to be less spectacular than that of targeted anticancer drugs (i.e. based on antibodies or small RNAs).

收起

展开

DOI:

10.2174/1871520618666171129213132

被引量:

2

年份:

2018

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(175)

参考文献(0)

引证文献(2)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读