Moriwaki Hirotomo, Tian Yu-Shi, Kawashita Norihito, Takagi Tatsuya
Graduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita City, Osaka, 565-0871, Japan.
Faculty of Sciences and Engineering, Kindai University, 3-4-1 Kowakae, Higashiosaka City, Osaka, 577-8502, Japan.
J Cheminform. 2018 Feb 6;10(1):4. doi: 10.1186/s13321-018-0258-y.
Molecular descriptors are widely employed to present molecular characteristics in cheminformatics. Various molecular-descriptor-calculation software programs have been developed. However, users of those programs must contend with several issues, including software bugs, insufficient update frequencies, and software licensing constraints. To address these issues, we propose Mordred, a developed descriptor-calculation software application that can calculate more than 1800 two- and three-dimensional descriptors. It is freely available via GitHub. Mordred can be easily installed and used in the command line interface, as a web application, or as a high-flexibility Python package on all major platforms (Windows, Linux, and macOS). Performance benchmark results show that Mordred is at least twice as fast as the well-known PaDEL-Descriptor and it can calculate descriptors for large molecules, which cannot be accomplished by other software. Owing to its good performance, convenience, number of descriptors, and a lax licensing constraint, Mordred is a promising choice of molecular descriptor calculation software that can be utilized for cheminformatics studies, such as those on quantitative structure-property relationships.
分子描述符在化学信息学中被广泛用于呈现分子特征。已经开发了各种分子描述符计算软件程序。然而,这些程序的用户必须应对几个问题,包括软件错误、更新频率不足和软件许可限制。为了解决这些问题,我们提出了Mordred,一个已开发的描述符计算软件应用程序,它可以计算1800多个二维和三维描述符。它可通过GitHub免费获取。Mordred可以轻松安装并在命令行界面中使用,也可以作为Web应用程序,或者作为一个具有高灵活性的Python包在所有主流平台(Windows、Linux和macOS)上使用。性能基准测试结果表明,Mordred的速度至少是著名的PaDEL-Descriptor的两倍,并且它可以为大分子计算描述符,这是其他软件无法完成的。由于其良好的性能、便利性、描述符数量以及宽松的许可限制,Mordred是分子描述符计算软件的一个有前途的选择,可用于化学信息学研究,如定量结构-性质关系研究。