利用药效团模型、基于分子对接的虚拟筛选和生物学评价鉴定Pim-1激酶抑制剂。

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL
Jing Huang, Ye Yuan, Xiaoxiao Zhu, Guodong Li, Y. Xu, Wen-li Chen, Yingxing Zhu
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引用次数: 2

摘要

本研究旨在筛选和开发Pim-1抑制剂作为抗癌药物。pim -1是丝氨酸/苏氨酸激酶家族的一员,在细胞增殖中起着至关重要的作用,被认为是癌症治疗的一个有希望的靶点。目的通过计算机法和生物学评价筛选更有效的Pim-1抑制剂。材料和方法为了确定更有效的Pim-1抑制剂,基于9种已知的Pim-1抑制剂构建了GALAHAD药效团模型,然后进行了包括药效团和基于分子对接的虚拟筛选在内的计算机筛选。通过细胞毒性研究进一步评估了hit化合物对人类骨髓瘤rmi -8226和U266细胞的Pim-1、2和3激酶活性和抗癌抑制作用。结果基于药效团Qfit值、对接评分和聚类分析,共筛选出C445_0268、C470_0769、4456_0744、0806_0325、G395_1510和V023_3227 6个化合物。结合模式分析表明,这些化合物与Pim-1的结合主要是氢键、疏水和π-π堆叠相互作用。进一步的生物学评价表明,化合物C445_0268和C470_0769具有良好的泛pim激酶活性,对RPMI-8226和U266细胞株的生长具有抑制作用,IC50值均小于3.75 μM。结论本研究报道了一系列Pim-1小分子抑制剂,可作为开发新的靶向抗癌药物的先导化合物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Pim-1 kinase inhibitors by pharmacophore model, molecular docking-based virtual screening, and biological evaluation.
AIM This study aimed at screening and development of Pim-1 inhibitors as anticancer agent. BACKGROUND Pim-1, a member of the Ser/Thr kinase family, plays a crucial role in cell proliferation and is being regarded as a promising target for cancer therapeutics. OBJECTIVE The present work focused on screening more potent Pim-1 inhibitors by in-silico method and biological evaluation. MATERIALS AND METHODS To identify more potent Pim-1 inhibitors, a GALAHAD pharmacophore model was constructed based on nine known Pim-1 inhibitors and followed by in silico screening including pharmacophore and molecular docking-based virtual screening. The hit compounds were further assessed the Pim-1, 2, and 3 kinase activities and the anticancer inhibition property against human myeloma RPMI-8226 and U266 cells using cytotoxicity studies. RESULTS Based on Qfit value (from pharmacophore), docking score and clustering analysis, six compounds including C445_0268, C470_0769, 4456_0744, 0806_0325, G395_1510 and V023_3227 were hit. Binding mode analysis showed that hydrogen bond, hydrophobic and π-π stacking interactions dominated the bindings of these compounds to Pim-1. The further biological evaluation indicated that compounds C445_0268 and C470_0769 possessed excellent pan-Pim kinase activities and inhibited the growths of RPMI-8226 and U266 cell lines with IC50 values lower than 3.75 μM. CONCLUSION We reported a series of Pim-1 small molecule inhibitors that could serve as the lead compounds to develop new targeted anticancer therapeutics.
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来源期刊
Current computer-aided drug design
Current computer-aided drug design 医学-计算机:跨学科应用
CiteScore
3.70
自引率
5.90%
发文量
46
审稿时长
>12 weeks
期刊介绍: Aims & Scope Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.
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