Raim Vladimir, Zadok Israel, Srebnik Simcha
Department of Chemical Engineering, Technion - Israel institute of Technology, Haifa, 32000, Israel.
J Mol Recognit. 2016 Aug;29(8):391-400. doi: 10.1002/jmr.2538. Epub 2016 Mar 2.
Molecular imprinting is a technique that is used to create artificial receptors by the formation of a polymer network around a template molecule, creating a molecularly imprinted polymer. These artificial receptors may be used in applications that require molecular recognition, such as enantioseparations, biosensors, artificial catalysis, drug delivery and others. Small molecules, such as drugs, have been imprinted with high efficiency and, combined with the low cost of preparation, molecularly imprinted polymers have acquired commercial usage. While attempts at imprinting proteins have been significantly less successful, the great potential of protein-imprinted polymers (PIPs) in medicine and industry attracted much research. Multifunctionality, conformational flexibility, large size of the proteins, and aqueous polymerization environment are some of the obstacles faced by protein imprinting. We explore the relation between PIP selectivity and the properties of the template and competitor proteins. A comprehensive statistical analysis of published studies reveals a statistically significant correlation between four protein descriptors and the corresponding selectivity of PIPs. Namely, a PIP will generally be more selective against large competitor proteins with a smooth surface, whose isoelectric point and aspect ratio are significantly different than those of the template protein. The size of the protein, as measured by its molecular weight, appears to be independent of the template protein characteristics. Copyright © 2016 John Wiley & Sons, Ltd.
分子印迹是一种通过在模板分子周围形成聚合物网络来创建人工受体的技术,从而制备出分子印迹聚合物。这些人工受体可用于需要分子识别的应用中,如对映体分离、生物传感器、人工催化、药物递送等。小分子,如药物,已被高效印迹,并且由于制备成本低,分子印迹聚合物已获得商业应用。虽然对蛋白质进行印迹的尝试成功率要低得多,但蛋白质印迹聚合物(PIP)在医学和工业中的巨大潜力吸引了大量研究。多功能性、构象灵活性、蛋白质的大尺寸以及水性聚合环境是蛋白质印迹面临的一些障碍。我们探讨了PIP选择性与模板蛋白和竞争蛋白性质之间的关系。对已发表研究的全面统计分析揭示了四种蛋白质描述符与相应PIP选择性之间具有统计学意义的相关性。也就是说,PIP通常对表面光滑的大型竞争蛋白具有更高的选择性,其等电点和长宽比与模板蛋白有显著差异。通过分子量衡量的蛋白质大小似乎与模板蛋白特征无关。版权所有© 2016约翰威立父子有限公司。