Evidence map›Paper›PMID 29411163›Full record

ArticleJournal of cheminformatics2018

Mordred: a molecular descriptor calculator.

Hirotomo Moriwaki, Yu-Shi Tian, Norihito Kawashita, Tatsuya Takagi

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 486 papers.

0numbers the graph read from it
0cells of the map it votes in
486citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

486 citing papers in PubMed.

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  17. FastRet: Fast and Simple Retention Time Prediction in Liquid Chromatography.Journal of chemical information and modeling · 2026
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  18. Article
  19. Article
  20. Article

426 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hirotomo MoriwakiGraduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita City, Osaka, 565-0871, Japan. hirotomo.moriwaki@gmail.com.ORCID http://orcid.org/0000-0002-3122-8580
Yu-Shi TianGraduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita City, Osaka, 565-0871, Japan.ORCID http://orcid.org/0000-0002-8988-9453
Norihito KawashitaFaculty of Sciences and Engineering, Kindai University, 3-4-1 Kowakae, Higashiosaka City, Osaka, 577-8502, Japan.ORCID http://orcid.org/0000-0002-1740-7232
Tatsuya TakagiGraduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita City, Osaka, 565-0871, Japan.ORCID http://orcid.org/0000-0002-0044-0722

Funding

Japan Society for the Promotion of Science JP15KT0017Japan Society for the Promotion of Science JP17K08235
6 · The paper itself

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.

Indexed as

Calculation softwareCheminformaticsMolecular descriptorPythonQSPR

Identifiers

PMID29411163
PMCPMC5801138

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.