Evidence map›Paper›PMID 27895718›Full record

ArticleJournal of cheminformatics2016

Consensus Diversity Plots: a global diversity analysis of chemical libraries.

Mariana González-Medina, Fernando D Prieto-Martínez, John R Owen, José L Medina-Franco

Abstract read
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Article in Journal of cheminformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

37 citing papers in PubMed.

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  8. Molecular similarity: Theory, applications, and perspectives.Artificial intelligence chemistry · 2024
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  9. Latin American Natural Product Database (LANaPDB): An Update.Journal of chemical information and modeling · 2024
    Article
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  16. Review
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  18. Graph-Based Feature Selection Approach for Molecular Activity Prediction.Journal of chemical information and modeling · 2022
    Article
  19. Article
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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.

Mariana González-MedinaFacultad de Química, Departamento de Farmacia, Universidad Nacional Autónoma de México, Avenida Universidad 3000, 04510 Mexico City, Mexico.
Fernando D Prieto-MartínezFacultad de Química, Departamento de Farmacia, Universidad Nacional Autónoma de México, Avenida Universidad 3000, 04510 Mexico City, Mexico.
John R OwenHigh-Performance Computing Research Group, ECIT Institute, Northern Ireland Science Park, Queens Road, Belfast, BT3 9DT UK.
José L Medina-FrancoFacultad de Química, Departamento de Farmacia, Universidad Nacional Autónoma de México, Avenida Universidad 3000, 04510 Mexico City, Mexico.ORCID 0000-0003-4940-1107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasuring the structural diversity of compound databases is relevant in drug discovery and many other areas of chemistry. Since molecular diversity depends on molecular representation, comprehensive chemoinformatic analysis of the diversity of libraries uses multiple criteria. For instance, the diversity of the molecular libraries is typically evaluated employing molecular scaffolds, structural fingerprints, and physicochemical properties. However, the assessment with each criterion is analyzed independently and it is not straightforward to provide an evaluation of the "global diversity".

resultsHerein the Consensus Diversity Plot (CDP) is proposed as a novel method to represent in low dimensions the diversity of chemical libraries considering simultaneously multiple molecular representations. We illustrate the application of CDPs to classify eight compound data sets and two subsets with different sizes and compositions using molecular scaffolds, structural fingerprints, and physicochemical properties.

conclusionsCDPs are general data mining tools that represent in two-dimensions the global diversity of compound data sets using multiple metrics. These plots can be constructed using single or combined measures of diversity. An online version of the CDPs is freely available at: https://consensusdiversityplots-difacquim-unam.shinyapps.io/RscriptsCDPlots/.Graphical AbstractConsensus Diversity Plot is a novel data mining tool that represents in two-dimensions the global diversity of compound data sets using multiple metrics.

Indexed as

Chemical spaceData miningMolecular fingerprintsMolecular scaffoldsPhysicochemical propertiesShannon entropyStructural diversity

Identifiers

PMID27895718
PMCPMC5105260

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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.