Center for Bioinformatics, Universität Hamburg, Bundesstrasse 43, 20146 Hamburg, Germany.
Institut für Pharmazeutische Chemie, Universität Marburg, Marbacher Weg 6-10, 35032 Marburg, Germany.
Acta Crystallogr D Struct Biol. 2023 Sep 1;79(Pt 9):837-856. doi: 10.1107/S205979832300582X. Epub 2023 Aug 10.
Due to the structural complexity of proteins, their corresponding crystal arrangements generally contain a significant amount of solvent-occupied space. These areas allow a certain degree of intracrystalline protein flexibility and mobility of solutes. Therefore, knowledge of the geometry of solvent-filled channels and cavities is essential whenever the dynamics inside a crystal are of interest. Especially in soaking experiments for structure-based drug design, ligands must be able to traverse the crystal solvent channels and reach the corresponding binding pockets. Unsuccessful screenings are sometimes attributed to the geometry of the crystal packing, but the underlying causes are often difficult to understand. This work presents LifeSoaks, a novel tool for analyzing and visualizing solvent channels in protein crystals. LifeSoaks uses a Voronoi diagram-based periodic channel representation which can be efficiently computed. The size and location of channel bottlenecks, which might hinder molecular diffusion, can be directly derived from this representation. This work presents the calculated bottleneck radii for all crystal structures in the PDB and the analysis of a new, hand-curated data set of structures obtained by soaking experiments. The results indicate that the consideration of bottleneck radii and the visual inspection of channels are beneficial for planning soaking experiments.
由于蛋白质的结构复杂性,其相应的晶体排列通常包含大量溶剂占据的空间。这些区域允许蛋白质在晶体内部一定程度的灵活性和溶质的流动性。因此,每当晶体内部的动力学成为关注焦点时,了解充满溶剂的通道和腔的几何形状是至关重要的。特别是在基于结构的药物设计的浸泡实验中,配体必须能够穿过晶体溶剂通道并到达相应的结合口袋。有时不成功的筛选归因于晶体堆积的几何形状,但潜在的原因往往难以理解。这项工作提出了 LifeSoaks,这是一种用于分析和可视化蛋白质晶体中溶剂通道的新工具。LifeSoaks 使用基于 Voronoi 图的周期性通道表示,该表示可以高效计算。可能阻碍分子扩散的通道瓶颈的大小和位置可以直接从该表示中得出。这项工作为 PDB 中的所有晶体结构计算了瓶颈半径,并分析了通过浸泡实验获得的新的、手工编制的数据集中的结构。结果表明,考虑瓶颈半径和通道的可视化检查对于规划浸泡实验是有益的。