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S100B与p53相互作用抑制剂的体外筛选及结构表征

In vitro screening and structural characterization of inhibitors of the S100B-p53 interaction.

作者信息

Wilder Paul T, Charpentier Thomas H, Liriano Melissa A, Gianni Kira, Varney Kristen M, Pozharski Edwin, Coop Andrew, Toth Eric A, Mackerell Alex D, Weber David J

机构信息

Department of Biochemistry and Molecular Biology, The University of Maryland School of Medicine, Maryland, USA.

出版信息

Int J High Throughput Screen. 2010 Jul 7;2010(1):109-126. doi: 10.2147/IJHTS.S8210.

Abstract

S100B is highly over-expressed in many cancers, including malignant melanoma. In such cancers, S100B binds wild-type p53 in a calcium-dependent manner, sequestering it, and promoting its degradation, resulting in the loss of p53-dependent tumor suppression activities. Therefore, S100B inhibitors may be able to restore wild-type p53 levels in certain cancers and provide a useful therapeutic strategy. In this regard, an automated and sensitive fluorescence polarization competition assay (FPCA) was developed and optimized to screen rapidly for lead compounds that bind Ca(2+)-loaded S100B and inhibit S100B target complex formation. A screen of 2000 compounds led to the identification of 26 putative S100B low molecular weight inhibitors. The binding of these small molecules to S100B was confirmed by nuclear magnetic resonance spectroscopy, and additional structural information was provided by x-ray crystal structures of several compounds in complexes with S100B. Notably, many of the identified inhibitors function by chemically modifying Cys84 in protein. These results validate the use of high-throughput FPCA to facilitate the identification of compounds that inhibit S100B. These lead compounds will be the subject of future optimization studies with the ultimate goal of developing a drug with therapeutic activity for the treatment of malignant melanoma and/or other cancers with elevated S100B.

摘要

S100B在包括恶性黑色素瘤在内的许多癌症中高度过表达。在这类癌症中,S100B以钙依赖的方式与野生型p53结合,使其隔离并促进其降解,导致p53依赖的肿瘤抑制活性丧失。因此,S100B抑制剂可能能够恢复某些癌症中野生型p53的水平,并提供一种有用的治疗策略。在这方面,开发并优化了一种自动化且灵敏的荧光偏振竞争分析方法(FPCA),以快速筛选出能结合钙离子负载的S100B并抑制S100B靶标复合物形成的先导化合物。对2000种化合物进行筛选后,鉴定出26种推定的S100B低分子量抑制剂。通过核磁共振光谱证实了这些小分子与S100B的结合,并通过几种化合物与S100B复合物的X射线晶体结构提供了额外的结构信息。值得注意的是,许多鉴定出的抑制剂通过化学修饰蛋白质中的Cys84发挥作用。这些结果验证了高通量FPCA在促进鉴定抑制S100B的化合物方面的应用。这些先导化合物将成为未来优化研究的对象,最终目标是开发出一种对恶性黑色素瘤和/或其他S100B水平升高的癌症具有治疗活性的药物。

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