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采用层次虚拟筛选方案设计新型脾酪氨酸激酶(Syk)和zeta 相关蛋白 70kDa(ZAP-70)多靶点抑制剂。

Designing of new multi-targeted inhibitors of spleen tyrosine kinase (Syk) and zeta-associated protein of 70kDa (ZAP-70) using hierarchical virtual screening protocol.

机构信息

Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab, India.

出版信息

J Mol Graph Model. 2013 Feb;39:165-75. doi: 10.1016/j.jmgm.2012.11.011. Epub 2012 Dec 8.

DOI:10.1016/j.jmgm.2012.11.011
PMID:23280414
Abstract

In the present study, diverse inhibitor molecules of two protein tyrosine kinases i.e. Syk and ZAP-70 were considered for the pharmacophore and docking analyses to design new multi-targeted agents for these enzymes. These enzymes are non-receptor protein tyrosine kinases and both are expressed mainly in B and T-lymphocytes where they play a crucial role in immune signaling. The role of these two enzymes in inflammatory and autoimmune diseases makes them potential therapeutic targets for the designing of new multi-targeted agents to combat disease conditions associated with them. The pharmacophore models were developed for Syk and ZAP-70 inhibitors using PHASE module of Schrödinger software. The generated pharmacophore models for both enzymes were clustered and top five models for each target were selected on the basis of survival minus inactive score that were subsequently used for the 3D-QSAR analysis. The best model for Syk (ADHR.45-5) and ZAP-70 (AADRR.265-3) were selected corresponding to highest value of Q(2). Both models were employed for the screening of a PHASE database of approximately 1.5 million compounds, subsequently the retrieved hits were screened employing docking simulations with Syk and ZAP-70 proteins. Finally, the screened compounds having structural features of both pharmacophore models and displaying essential interactions with both proteins were investigated for ADME properties. Thus, the new leads obtained in this way would show inhibitory activity against Syk and ZAP-70, and may serve as novel therapeutic agents for the treatment of inflammatory disorders.

摘要

在本研究中,考虑了两种蛋白酪氨酸激酶(即 Syk 和 ZAP-70)的多种抑制剂分子,用于药效团和对接分析,以设计这些酶的新多靶标药物。这些酶是非受体蛋白酪氨酸激酶,两者主要在 B 和 T 淋巴细胞中表达,在那里它们在免疫信号中起着至关重要的作用。这两种酶在炎症和自身免疫性疾病中的作用使它们成为设计新的多靶标药物以对抗与之相关的疾病状况的潜在治疗靶标。使用 Schrödinger 软件的 PHASE 模块为 Syk 和 ZAP-70 抑制剂开发了药效团模型。为两种酶生成的药效团模型进行了聚类,并根据生存减去非活性评分选择了每个靶标前五名模型,随后用于 3D-QSAR 分析。Syk(ADHR.45-5)和 ZAP-70(AADRR.265-3)的最佳模型分别对应于 Q(2)的最高值。选择这两个模型用于筛选大约 150 万化合物的 PHASE 数据库,随后使用 Syk 和 ZAP-70 蛋白进行对接模拟筛选检索到的命中。最后,研究了具有两种药效团模型结构特征并与两种蛋白质显示必需相互作用的筛选化合物的 ADME 特性。因此,以这种方式获得的新先导化合物将对 Syk 和 ZAP-70 具有抑制活性,并可用作治疗炎症性疾病的新型治疗剂。

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