基于分子模拟的Bcr-Abl酪氨酸激酶抑制剂合理设计

A. M. Anrdrianov, Yuri V. Kornoushenko, A. D. Karpenko, I. P. Bosko, Zh. V. Ignatovich, E. Koroleva
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引用次数: 1

摘要

通过小有机分子抑制癌症过程的发现改变了抗肿瘤治疗药物化合物开发的原则。这一领域的最新成就与小分子蛋白激酶抑制剂的设计有关,这些有机化合物表现出直接的致病作用。本研究以2-芳基氨基嘧啶衍生物为基础,进行了38种具有多激酶谱的潜在抗癌化合物的计算机设计。这些化合物对Bcr-Abl酪氨酸激酶的天然和突变(T315I)形式的抑制活性潜力进行了评估,Bcr-Abl酪氨酸激酶是一种酶,在慢性髓性白血病的发病机制中起关键作用,其特征是外周血和骨髓中髓细胞不受控制的生长。结果,根据计算数据,鉴定出5个与天然和突变Bcr-Abl酪氨酸激酶具有高亲和力结合的前5位化合物。所设计的化合物为开发新型强效抗肿瘤药物提供了良好的支架。
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Rational Design of Potential Bcr-Abl Tyrosine Kinase Inhibitors by the Methods of Molecular Modeling
Discovery of the nature of inhibiting cancer processes by small organic molecules has changed the principles of the development of drug compounds for antitumor therapy. Recent achievements in this area are associated with the design of small-molecule protein kinase inhibitors, organic compounds exhibiting directed pathogenetic action. In this study, in silico design of 38 potential anti-cancer compounds with multikinase profile was carried out based on the derivatives of 2-arylaminopyrimidine. Evaluation of inhibitory activity potential of these compounds against the native and mutant (T315I) forms of Bcr-Abl tyrosine kinase, an enzyme that plays a key role in the pathogenesis of chronic myeloid leukemia characterized by uncontrolled growth myeloid cells in peripheral blood and bone marrow, was performed using molecular modeling tools. As a result, 5 top-ranking compounds that exhibit, according to the calculated data, a high-affinity binding to the native and mutant Bcr-Abl tyrosine kinase were identified. The designed compounds were shown to form good scaffolds for the development of novel potent antitumor drugs.
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来源期刊
Mathematical Biology and Bioinformatics
Mathematical Biology and Bioinformatics Mathematics-Applied Mathematics
CiteScore
1.10
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发文量
13
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