IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Ruichen Liu, Li Wang, Xiangwen Zhang, Guozhu Li
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引用次数: 0

摘要

在这项工作中,一个名为 "Groupy "的开源、多功能和灵活的代码被提出来,用于计算各种分子性质和准备分子模拟软件(如高斯)的输入文件。该代码只需要 SMILES 作为输入,但能以多种格式输出许多新的有用数据和文件。输出信息清晰易读。给用户的提示非常详细,使用时很容易掌握。支持消息传递接口(MPI)并行化,可在计算大量分子性质时减少计算时间。Groupy 不仅支持使用传统的基团贡献法计算分子性质,还能直接输出基团贡献式分子指纹,用于机器学习。代码具有很强的可扩展性,可以作为外部库来构建其他程序。我们希望 Groupy 能为计算化学家和实验化学家的日常研究带来极大的便利。Groupy的代码可从 https://github.com/47-5/Groupy 免费获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Groupy: An Open-Source Toolkit for Molecular Simulation and Property Calculation

Groupy: An Open-Source Toolkit for Molecular Simulation and Property Calculation

Groupy: An Open-Source Toolkit for Molecular Simulation and Property Calculation

In this work, an open-source, versatile, and flexible code named Groupy is present for calculating various molecular properties and preparing input files of molecular simulation software such as Gaussian. This code requires only SMILES as input, but can output many new useful data and files in multiple formats. The output information is clear and easy to read. The tips to the users are very detailed and easy to follow when using. Message passing interface (MPI) parallelization is supported to reduce computing time when the properties of a large number of molecules are calculated. Groupy not only supports the calculation of molecular properties using the traditional group contribution method, but also directly outputs the group-contribution-style molecular fingerprints for machine learning. The code has strong extensibility, which can be used as an external library to build other programs. We hope that Groupy brings great convenience to both computational and experimental chemists in their daily research. The code of Groupy can be freely obtained at https://github.com/47-5/Groupy

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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