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基于 cheminformatics 的具有抗癌作用的草药提取物的选择和协同作用耐药肿瘤细胞-ACHN 和 A2780/cp 细胞系。

Cheminformatics-based selection and synergism of herbal extracts with anticancer agents on drug resistance tumor cells-ACHN and A2780/cp cell lines.

机构信息

Drug Design and Bioinformatics Group, Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, #69, Pasteur Avenue, P.O. Box 1316943551, Tehran, Iran.

出版信息

Comput Biol Med. 2011 Aug;41(8):665-74. doi: 10.1016/j.compbiomed.2011.06.002. Epub 2011 Jul 12.

Abstract

The treatment of cancer usually involves lethal effect on normal body cells as side effects. Cheminformatics methodology can play a significant role in biomed/clinical scientific research. Similarity searching is a standard cheminformatics tool in drug discovery area and database design. In this study, five novel herbal extracts in combination with doxorubicin and cisplatin have been used to sensitize ACHN and A2780/cp cells. These herbal extracts have been selected on the basis of novel cheminformatics methodology and assayed for the first time. The findings confirmed predicted outcomes from the in silico research and the results introduced may bring to use the effects of these herbs in reversing of multidrug resistance (MDR) phenomenon.

摘要

癌症的治疗通常会产生副作用,对正常体细胞产生致命影响。化学信息学方法可以在生物医学/临床科学研究中发挥重要作用。相似性搜索是药物发现领域和数据库设计中的标准化学信息学工具。在这项研究中,五种新型草药提取物与阿霉素和顺铂联合使用,以增敏 ACHN 和 A2780/cp 细胞。这些草药提取物是根据新的化学信息学方法选择的,并首次进行了检测。研究结果证实了计算机研究的预测结果,研究结果可能会使这些草药的作用在逆转多药耐药(MDR)现象中得到应用。

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