MDplot: Visualise Molecular Dynamics

IF 2.3 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS R Journal Pub Date : 2017-05-10 DOI:10.32614/RJ-2017-007
Christian Margreitter, C. Oostenbrink
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引用次数: 15

Abstract

The MDplot package provides plotting functions to allow for automated visualisation of molecular dynamics simulation output. It is especially useful in cases where the plot generation is rather tedious due to complex file formats or when a large number of plots are generated. The graphs that are supported range from those which are standard, such as RMsD/RMsF (root-mean-square deviation and root-mean-square fluctuation, respectively) to less standard, such as thermodynamic integration analysis and hydrogen bond monitoring over time. All told, they address many commonly used analyses. In this article, we set out the MDplot package's functions, give examples of the function calls, and show the associated plots. Plotting and data parsing is separated in all cases, i.e. the respective functions can be used independently. Thus, data manipulation and the integration of additional file formats is fairly easy. Currently, the loading functions support GROMOS, GROMACS, and AMBER file formats. Moreover, we also provide a Bash interface that allows simple embedding of MDplot into Bash scripts as the final analysis step. AVAILABILITY The package can be obtained in the latest major version from CRAN (https://cran.r-project.org/package=MDplot) or in the most recent version from the project's GitHub page at https://github.com/MDplot/MDplot, where feedback is also most welcome. MDplot is published under the GPL-3 license.
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MDplot:可视化分子动力学
MDplot包提供绘图功能,允许分子动力学模拟输出的自动可视化。在由于复杂的文件格式或生成大量情节而导致情节生成相当繁琐的情况下,它特别有用。支持的图形范围从标准图形,如RMsD/RMsF(分别为均方根偏差和均方根波动)到不太标准的图形,如热力学集成分析和氢键随时间的监测。总之,它们解决了许多常用的分析。在本文中,我们列出MDplot包的函数,给出函数调用的示例,并显示相关的图。绘图和数据分析在所有情况下都是分开的,即各自的功能可以独立使用。因此,数据操作和其他文件格式的集成相当容易。目前加载函数支持GROMOS、GROMACS和AMBER三种文件格式。此外,我们还提供了一个Bash接口,允许在最后的分析步骤中将MDplot简单地嵌入到Bash脚本中。可用性该软件包可以从CRAN (https://cran.r-project.org/package=MDplot)获得最新的主要版本,也可以从项目的GitHub页面https://github.com/MDplot/MDplot获得最新版本,这里也非常欢迎反馈。MDplot在GPL-3许可下发布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
R Journal
R Journal COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
2.70
自引率
0.00%
发文量
40
审稿时长
>12 weeks
期刊介绍: The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that should be of interest to users or developers of R. The R Journal intends to reach a wide audience and have a thorough review process. Papers are expected to be reasonably short, clearly written, not too technical, and of course focused on R. Authors of refereed articles should take care to: - put their contribution in context, in particular discuss related R functions or packages; - explain the motivation for their contribution; - provide code examples that are reproducible.
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