Polák Lukáš, Škoda Petr, Riedlová Kamila, Krivák Radoslav, Novotný Marian, Hoksza David
Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, 121 16, Czech Republic.
Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, 160 00, Czech Republic.
Nucleic Acids Res. 2025 Jul 7;53(W1):W466-W471. doi: 10.1093/nar/gkaf421.
Knowledge of protein-ligand binding sites (LBSs) is crucial for advancing our understanding of biology and developing practical applications in fields such as medicine or biotechnology. PrankWeb is a web server that allows users to predict LBSs from a given three-dimensional structure. It provides access to P2Rank, a state-of-the-art machine learning tool for binding site prediction. Here, we present a new version of PrankWeb enabling the development of both client- and server-side modules acting as postprocessing tasks on the predicted pockets. Furthermore, each module can be associated with a visualization module that acts on the results provided by both client- and server-side modules. This newly developed system was utilized to implement the ability to dock user-provided molecules into the predicted pockets using AutoDock Vina (server-side module) and to interactively visualize the predicted poses (visualization module). In addition to introducing a modular architecture, we revamped PrankWeb's interface to better support the modules and enhance user interaction between the 1D and 3D viewers. We introduced a new, faster P2Rank backend or user-friendly exports, including ChimeraX visualization.
了解蛋白质 - 配体结合位点(LBSs)对于深化我们对生物学的理解以及在医学或生物技术等领域开发实际应用至关重要。PrankWeb是一个网络服务器,允许用户从给定的三维结构预测LBSs。它提供了对P2Rank的访问,P2Rank是一种用于结合位点预测的先进机器学习工具。在此,我们展示了PrankWeb的新版本,它能够开发客户端和服务器端模块,这些模块可作为对预测口袋的后处理任务。此外,每个模块都可以与一个可视化模块相关联,该可视化模块作用于客户端和服务器端模块提供的结果。这个新开发的系统被用于实现使用AutoDock Vina(服务器端模块)将用户提供的分子对接至预测口袋的功能,并交互式地可视化预测的构象(可视化模块)。除了引入模块化架构外,我们还改进了PrankWeb的界面,以更好地支持这些模块,并增强一维和三维查看器之间的用户交互。我们引入了一个新的、更快的P2Rank后端,或提供用户友好的导出功能,包括ChimeraX可视化。