WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Darian T. Yang,  and , Lillian T. Chong*, 
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引用次数: 0

Abstract

Given the growing interest in path sampling methods for extending the time scales of molecular dynamics (MD) simulations, there has been great interest in software tools that streamline the generation of plots for monitoring the progress of large-scale simulations. Here, we present the WEDAP Python package for simplifying the analysis of data generated from either conventional MD simulations or the weighted ensemble (WE) path sampling method, as implemented in the widely used WESTPA software package. WEDAP facilitates (i) the parsing of WE simulation data stored in highly compressed, hierarchical HDF5 files and (ii) incorporates trajectory weights from WE simulations into all generated plots. Our Python package consists of multiple user-friendly interfaces: a command-line interface, a graphical user interface, and a Python application programming interface. We demonstrate the plotting features of WEDAP through a series of examples using data from WE and conventional MD simulations that focus on the HIV-1 capsid protein’s C-terminal domain dimer as a showcase system. The source code for WEDAP is freely available on GitHub at https://github.com/chonglab-pitt/wedap.

Abstract Image

WEDAP:用于简化分子模拟数据绘图的 Python 软件包
鉴于人们对扩展分子动力学(MD)模拟时间尺度的路径采样方法的兴趣与日俱增,人们对能够简化生成用于监测大规模模拟进展的图表的软件工具产生了浓厚兴趣。在此,我们介绍 WEDAP Python 软件包,用于简化对传统 MD 模拟或加权集合(WE)路径采样方法生成的数据的分析,该方法已在广泛使用的 WESTPA 软件包中实现。WEDAP 有助于:(i) 解析存储在高度压缩的分层 HDF5 文件中的 WE 仿真数据;(ii) 将 WE 仿真的轨迹权重纳入所有生成的曲线图中。我们的 Python 软件包由多个用户友好界面组成:命令行界面、图形用户界面和 Python 应用编程界面。我们通过一系列示例演示了 WEDAP 的绘图功能,这些示例使用的数据来自 WE 和传统 MD 模拟,以 HIV-1 胶囊蛋白的 C 端结构域二聚体为展示系统。WEDAP 的源代码可在 GitHub 上免费获取:https://github.com/chonglab-pitt/wedap。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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