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简化复杂问题:构建、模拟和分析蛋白质-配体系统

- Simplifying the Complex: Building, Simulating, and Analyzing Protein-Ligand Systems in .

作者信息

Talagayev Valerij, Chen Yu, Doering Niklas Piet, Obendorf Leon, Denzinger Katrin, Puls Kristina, Lam Kevin, Liu Sijie, Wolf Clemens Alexander, Noonan Theresa, Breznik Marko, Knaus Petra, Wolber Gerhard

机构信息

Department of Biology, Chemistry and Pharmacy, Institute of Pharmacy, Molecular Design Group, Königin-Luisestr. 2 + 4, 14195 Berlin, Germany.

Department of Biology, Chemistry and Pharmacy, Institute of Biochemistry, Signal Transduction Group, Thielallee 64, 14195 Berlin, Germany.

出版信息

J Chem Inf Model. 2025 Feb 24;65(4):1967-1978. doi: 10.1021/acs.jcim.4c02158. Epub 2025 Feb 11.

Abstract

Molecular dynamics (MD) simulations have become an essential tool for studying the dynamics of biological systems and exploring protein-ligand interactions. is a modern, open-source software toolkit designed for MD simulations. Until now, it has lacked a module dedicated to building receptor-ligand systems, which is highly useful for investigating protein-ligand interactions for drug discovery. We therefore introduce , an open-source toolkit that enables the preparation and simulation of protein-ligand complexes in , along with the subsequent analysis of protein-ligand interactions. consists of three main components: , a graphical user interface based on Python to prepare protein and simulation settings, to perform MD simulations with consecutive trajectory postprocessing, and finally to analyze simulation results with respect to ligand binding. is not only a versatile tool for analyzing protein-ligand interactions and generating ligand binding modes throughout simulations; it also tracks and clusters water molecules, particularly those exhibiting minimal displacement from their previous coordinates, providing insights into solvent dynamics. We applied to study ligand-receptor interactions across diverse biological systems, including LDN-193189 and LDN-212854 with ALK2 (kinases), nifedipine and amlodipine in Ca1.1 (ion channels), LSD in 5-HT (G-protein coupled receptors), letrozole in CYP19A1 (cytochrome P450 oxygenases), flavin mononucleotide binding the FMN-riboswitch (RNAs), ligand C08 bound to TLR8 (toll-like receptor), and PZM21 bound to MOR (opioid receptor), highlighting distinct functionalities of . is publicly available at https://github.com/wolberlab/OpenMMDL.

摘要

分子动力学(MD)模拟已成为研究生物系统动力学和探索蛋白质-配体相互作用的重要工具。[软件名称]是一个专为MD模拟设计的现代开源软件工具包。到目前为止,它缺少一个专门用于构建受体-配体系统的模块,而该模块对于研究药物发现中的蛋白质-配体相互作用非常有用。因此,我们引入了[工具包名称],这是一个开源工具包,能够在[软件名称]中制备和模拟蛋白质-配体复合物,并随后分析蛋白质-配体相互作用。[工具包名称]由三个主要组件组成:[组件一名称],一个基于Python的图形用户界面,用于准备蛋白质和模拟设置;[组件二名称],用于执行MD模拟并进行连续轨迹后处理;最后是[组件三名称],用于分析关于配体结合的模拟结果。[工具包名称]不仅是一个用于分析蛋白质-配体相互作用和在整个模拟过程中生成配体结合模式的多功能工具;它还能跟踪和聚类水分子,特别是那些与先前坐标位移最小的水分子,从而深入了解溶剂动力学。我们应用[工具包名称]研究了多种生物系统中的配体-受体相互作用,包括与ALK2(激酶)结合的LDN-193189和LDN-212854、在Ca1.1(离子通道)中的硝苯地平和氨氯地平、在5-HT(G蛋白偶联受体)中的LSD、在CYP19A1(细胞色素P450加氧酶)中的来曲唑、结合黄素单核苷酸的FMN核糖开关(RNA)、与TLR8(Toll样受体)结合的配体C08以及与MOR(阿片受体)结合的PZM21,突出了[工具包名称]的不同功能。[工具包名称]可在https://github.com/wolberlab/OpenMMDL上公开获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/476c/11863370/f8cbfbb4f307/ci4c02158_0001.jpg

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