计算机科学
化学信息学
Python(编程语言)
软件
计算器
数据挖掘
灵活性(工程)
软件包
分子描述符
软件工程
机器学习
生物信息学
操作系统
数量结构-活动关系
数学
统计
生物
作者
Hirotomo Moriwaki,Yu‐Shi Tian,Norihito Kawashita,Tatsuya Takagi
标识
DOI:10.1186/s13321-018-0258-y
摘要
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.
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