Journal of Cheminformatics· 2018Q1
Mordred: a molecular descriptor calculator
- 1,558citations
- Q1SCImago
- 2018year
Short summary
Mordred is a new, open-source molecular descriptor calculator that computes over 1800 2D/3D descriptors, is at least twice as fast as PaDEL-Descriptor, and handles large molecules, addressing common software issues like bugs and licensing.
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Key points
- Mordred calculates over 1800 2D and 3D molecular descriptors.
- It is at least twice as fast as PaDEL-Descriptor in performance benchmarks.
- Mordred can calculate descriptors for large molecules, a capability lacking in other software.
- The software is freely available, open-source, and compatible with Windows, Linux, and macOS.
- It can be used via command line, web application, or as a Python package.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Journal of Cheminformatics, 2018 · DOI ↗
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Field: Computational Theory and Mathematics
Computational Theory and MathematicsComputer Science