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肺癌特异性肽的同多聚体和异多聚体的开发。

Development of homomultimers and heteromultimers of lung cancer-specific peptoids.

机构信息

Advanced Imaging Research Center, UT-Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas 75390, TX, USA.

出版信息

Biopolymers. 2011;96(5):567-77. doi: 10.1002/bip.21596.

Abstract

Multimeric interactions that occur in biology provide impetus for chemists to explore new types of synthetic multivalent ligands that alter cellular functions by mechanisms inaccessible to natural substances. While many different molecules such as peptides, antibody fragments, carbohydrates and organic moieties have been used in developing multimeric ligands, it is worth exploring other important molecular types that have hardly been tested in developing multimeric compounds. Peptoids are one such class of compounds with highly facile synthesis as well as much better biologically amenable qualities. Recently, we identified two HCC4017 lung cancer cell targeting peptoids. Here we explore the possibility of synthesizing multimers of these compounds completely through a solid phase synthesis approach. We have synthesized mini-libraries of homodimers, homotrimers and most importantly, heterodimers of our lung cancer specific compounds. The idea is to develop series of compounds that only differs by the linker portion, which is readily adjustable within the library. The purpose of this is to find the optimal distance between each monomeric unit of the multimer that allows them to perfectly interact with their individual biological targets displayed on the cell surface. Future screens of these minilibraries will identify the multimers with improved binding affinities.

摘要

生物体内发生的多聚体相互作用促使化学家探索新型合成多价配体,这些配体通过天然物质无法实现的机制改变细胞功能。虽然已经使用了许多不同的分子,如肽、抗体片段、碳水化合物和有机部分来开发多聚配体,但值得探索其他在开发多聚化合物方面几乎未经过测试的重要分子类型。肽拟似物就是这样一类化合物,其合成非常容易,并且具有更好的生物适应性。最近,我们鉴定了两种靶向 HCC4017 肺癌细胞的肽拟似物。在这里,我们探索了通过固相合成方法完全合成这些化合物的多聚体的可能性。我们已经合成了同二聚体、同三聚体以及最重要的肺癌特异性化合物的杂二聚体的迷你文库。其想法是开发一系列化合物,这些化合物仅在连接子部分有所不同,在文库中可以轻松调整。其目的是找到允许多聚体与细胞表面上显示的各个生物靶标完美相互作用的最佳单体单元之间的距离。未来对这些迷你文库的筛选将确定具有改善结合亲和力的多聚体。

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