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基于计算机的证据表明,葡萄糖激酶激活剂与 EGFR C797S 结合,通过突变体选择性别构抑制克服 EGFR 耐药障碍。

In-silico evidences for binding of Glucokinase activators to EGFR C797S to overcome EGFR resistance obstacle with mutant-selective allosteric inhibition.

机构信息

Division of Computer Aided Drug Design, Dept. of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research, Shirpur, District Dhule, 425 405, Maharashtra, India.

Division of Computer Aided Drug Design, Dept. of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research, Shirpur, District Dhule, 425 405, Maharashtra, India.

出版信息

Comput Biol Chem. 2018 Jun;74:167-189. doi: 10.1016/j.compbiolchem.2018.03.026. Epub 2018 Mar 29.

DOI:10.1016/j.compbiolchem.2018.03.026
PMID:29627693
Abstract

The tyrosine kinase inhibitors (TKI) against epidermal growth factor receptor (EGFR) are generally utilized as a part of patients with non-small cell lung carcinoma (NSCLC). However, EGFR T790M mutation results in resistance to most clinically available EGFR TKIs. Third-generation EGFR TKIs against the T790M mutation has been in active clinical development to triumph the resistance problem; they covalently bind with conserved Cys797 inside the EGFR active site, offering both potency and kinase-selectivity. Third generation drugs target C797, which makes the C797S resistance mutation more subtle. EGFR C797S mutation was accounted to be a main mechanism of resistance to the third-generation inhibitors. The C797S mutation gives off an impression of being an ideal target for conquering the acquired resistance to the third generation inhibitors. We have performed structure based-virtual screening strategies for binding of glucokinase activator to EGFR C797S, which can overcome EGFR resistance impediment with mutant-selective allosteric inhibition towards all kinds of mutant EGFR (T790M, L858R, TMLR) and WT EGFR. The final filter of Lipinski's Rule of Five, Jargan's Rule of Three and in silico ADME predictions gave 23 hits, which conform to Lipinski's rule and Jorgensen's rule and all their pharmacokinetic parameters are inside the appropriate range characterized for human use, in this manner demonstrating their potential as a drug-like molecule.

摘要

针对表皮生长因子受体(EGFR)的酪氨酸激酶抑制剂(TKI)通常被用于非小细胞肺癌(NSCLC)患者。然而,EGFR T790M 突变导致对大多数临床可用的 EGFR TKI 产生耐药性。针对 T790M 突变的第三代 EGFR TKI 一直在积极的临床开发中,以解决耐药性问题;它们与 EGFR 活性位点内保守的 Cys797 共价结合,提供了效力和激酶选择性。第三代药物针对 C797,这使得 C797S 耐药突变更加微妙。EGFR C797S 突变被认为是对第三代抑制剂产生耐药性的主要机制。C797S 突变似乎是克服第三代抑制剂获得性耐药的理想靶点。我们已经针对葡萄糖激酶激活剂与 EGFR C797S 的结合进行了基于结构的虚拟筛选策略,该策略可以通过对各种突变型 EGFR(T790M、L858R、TMLR)和 WT EGFR 进行突变选择性变构抑制来克服 EGFR 耐药性障碍。最后,经过 Lipinski 五规则、Jargan 三规则和体内 ADME 预测的筛选,得到了 23 个符合 Lipinski 规则和 Jorgensen 规则的命中化合物,它们的所有药代动力学参数都在适合人体使用的适当范围内,这表明它们具有作为药物样分子的潜力。

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