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首页> 外文期刊>Drug metabolism and pharmacokinetics. >Emerging new technology: QSAR analysis and MO Calculation to characterize interactions of protein kinase inhibitors with the human ABC transporter, ABCG2 (BCRP).
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Emerging new technology: QSAR analysis and MO Calculation to characterize interactions of protein kinase inhibitors with the human ABC transporter, ABCG2 (BCRP).

机译:新技术:QSAR分析和MO计算,表征蛋白激酶抑制剂与人ABC转运蛋白,ABCG2(BCRP)的相互作用。

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摘要

Protein kinases are potential drug targets for the treatment of a variety of diseases, including cancer. In particular, specific tyrosine kinase inhibitors are rapidly being developed as new drugs for the inhibition of malignant cell growth and metastasis formation. Most of these newly developed tyrosine kinase inhibitors are hydrophobic and thus rapidly penetrate the cell membrane to reach intracellular targets. However, intracellular accumulation of a drug is regulated by multiple factors, including influx and efflux as well as metabolism. In cancer chemotherapy, overexpression of drug efflux transporters in cancer cells is a major cause of multidrug resistance that reduces the efficacy of anticancer drugs. Thus, the transport mechanism-based molecular design strategy would provide an effective tool for chemotherapy against cancer. To develop a platform for molecular modeling to circumvent multidrug resistance and reduce drug-induced adverse effects, we established methods for high-speed screening for human ABCG2-drug interactions, quantitative structure-activity relationship (QSAR) analysis, and quantum chemical calculation for lead optimization. This review addresses recent advances in the strategy of transport mechanism-based molecular design.
机译:蛋白激酶是治疗各种疾病的潜在药物靶标,包括癌症。特别地,迅速开发出特异性酪氨酸激酶抑制剂作为抑制恶性细胞生长和转移形成的新药。这些新开发的酪氨酸激酶抑制剂中的大部分是疏水性的,因此快速渗透细胞膜以达到细胞内靶标。然而,药物的细胞内积累受到多种因素的调节,包括流入和流出以及代谢。在癌症化疗中,癌细胞中药物流出转运蛋白的过表达是多药抗性的主要原因,降低抗癌药物的功效。因此,基于运输机制的分子设计策略将为癌症提供有效的化学疗法工具。为了开发用于避免多药抗性的分子模型平台,降低药物诱导的不良反应,我们建立了用于人ABCG2-药物相互作用,定量结构 - 活性关系(QSAR)分析和铅的量子化学计算的高速筛选方法优化。该审查涉及基于运输机制的分子设计策略的最新进展。

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