Zloh Mire, Barata Teresa S
UCL School of Pharmacy, University College London , London, UK.
Faculty of Pharmacy, University Business Academy , Novi Sad, Serbia.
Expert Opin Drug Discov. 2020 Sep;15(9):1015-1024. doi: 10.1080/17460441.2020.1769597. Epub 2020 May 26.
Dendrimers are well-defined hyperbranched polymers built from a variety of different monomers and with tuneable properties that make them suitable for different biomedical applications. Their three-dimensional (3D) structure cannot be usually determined experimentally due to their inherent nature of repeating patterns in the topology, failure to crystalize, and/or high flexibility. Therefore, their conformations and interactions at the atomistic level can be studied only by using computational chemistry methods, including molecular dynamics, Monte Carlo simulations, and molecular docking.
In this review, the methods that could be utilized in computer-aided dendrimer design are considered, providing a list of approaches to generate initial 3D coordinates and selected examples of applications of relevant molecular modeling methods.
Computational chemistry provides an invaluable set of tools to study dendrimers and their interactions with drugs and biological targets. There is a gap in the software development that is dedicated to study of these highly variable and complex systems that could be overcome by the integration of already established approaches for topology generation and open source molecular modeling libraries. Furthermore, it would be highly beneficial to collate already built 3D models of various dendrimers with corresponding relevant experimental data.
树枝状聚合物是由多种不同单体构建而成的结构明确的超支化聚合物,具有可调节的性质,使其适用于不同的生物医学应用。由于其拓扑结构中固有的重复模式、无法结晶和/或高度灵活性,通常无法通过实验确定其三维(3D)结构。因此,只有使用计算化学方法,包括分子动力学、蒙特卡罗模拟和分子对接,才能在原子水平上研究它们的构象和相互作用。
在本综述中,考虑了可用于计算机辅助树枝状聚合物设计的方法,提供了生成初始3D坐标的方法列表以及相关分子建模方法的应用实例。
计算化学提供了一套宝贵的工具来研究树枝状聚合物及其与药物和生物靶点的相互作用。在致力于研究这些高度可变和复杂系统的软件开发方面存在差距,通过整合已建立的拓扑生成方法和开源分子建模库可以克服这一差距。此外,将已构建的各种树枝状聚合物的3D模型与相应的相关实验数据进行整理将非常有益。