Jing Huang, Ye Yuan, Xiaoxiao Zhu, Guodong Li, Y. Xu, Wen-li Chen, Yingxing Zhu
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引用次数: 2
Abstract
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.
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.