Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai, 200241, PR China.
J Phys Chem B. 2012 May 10;116(18):5398-405. doi: 10.1021/jp302731u. Epub 2012 May 2.
High-throughput screening of dendrimer-binding drugs is essential for the design and optimization of dendrimer-based drug delivery systems. In this study, pulsed gradient spin echo (PGSE) NMR was used for fast screening dendrimer-binding compounds using common amino acids as a screening pool. Diffusion coefficients of the amino acids before and after the addition of poly(propylene imine) (PPI) dendrimer were used to rank the binding affinities of the amino acids to the dendrimer. Among the common amino acids, cysteine, glutamic acid, aspartic acid, and tryptophan show strong binding affinity to PPI dendrimer. Tryptophan forms inclusion complexes with PPI dendrimer through hydrophobic interactions, while other amino acids mainly bind with PPI dendrimer via ionic and hydrogen-bond interactions. The PGSE NMR-based screening method provides new insights into high-throughput screening of dendrimer-binding compounds and should facilitate the study of dendrimer-based host-guest systems.
高通量筛选树枝状大分子结合药物对于设计和优化基于树枝状大分子的药物传递系统至关重要。在这项研究中,使用脉冲梯度自旋回波(PGSE)NMR 技术,以常见氨基酸作为筛选库,快速筛选树枝状大分子结合化合物。通过比较氨基酸在加入聚(丙烯亚胺)(PPI)树枝状大分子前后的扩散系数,对氨基酸与树枝状大分子的结合亲和力进行排序。在常见氨基酸中,半胱氨酸、谷氨酸、天冬氨酸和色氨酸与 PPI 树枝状大分子表现出较强的结合亲和力。色氨酸通过疏水相互作用与 PPI 树枝状大分子形成包合物,而其他氨基酸主要通过离子和氢键相互作用与 PPI 树枝状大分子结合。基于 PGSE NMR 的筛选方法为高通量筛选树枝状大分子结合化合物提供了新的思路,应有助于树枝状大分子主体-客体体系的研究。