Evidence map›Paper›PMID 33892802›Full record

ArticleJournal of cheminformatics2021

Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 1: Theory and characteristics

Ramón Alain Miranda-Quintana, Dávid Bajusz, Anita Rácz, Károly Héberger

Abstract read
In one paragraph

Article in Journal of cheminformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  9. Selector: A General Python Library for Diverse Subset Selection.Journal of chemical information and modeling · 2026
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  10. Selector: A General Python Library for Diverse Subset Selection.bioRxiv : the preprint server for biology · 2025
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  12. BitBIRCH-Lean: chemical space in the palm of your workstation.bioRxiv : the preprint server for biology · 2025
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  15. iCliff Taylor's Version: Robust and Efficient Activity Cliff Determination.Journal of chemical information and modeling · 2025
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  16. Extended Quality (eQual): Radial Threshold Clustering Based onJournal of chemical information and modeling · 2025
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  17. SHINE: Deterministic Many-to-Many Clustering of Molecular Pathways.Journal of chemical information and modeling · 2025
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  18. Article
  19. Molecular similarity: Theory, applications, and perspectives.Artificial intelligence chemistry · 2024
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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.

Ramón Alain Miranda-QuintanaDepartment of Chemistry, University of Florida, Gainesville, FL, 32603, USA. quintana@chem.ufl.edu.ORCID https://orcid.org/0000-0003-2121-4449
Dávid BajuszMedicinal Chemistry Research Group, Research Centre for Natural Sciences, Magyar tudósok krt. 2, 1117, Budapest, Hungary.ORCID https://orcid.org/0000-0003-4277-9481
Anita RáczPlasma Chemistry Research Group, ELKH Research Centre for Natural Sciences, Magyar tudósok krt. 2, 1117, Budapest, Hungary.ORCID https://orcid.org/0000-0001-8271-9841
Károly HébergerPlasma Chemistry Research Group, ELKH Research Centre for Natural Sciences, Magyar tudósok krt. 2, 1117, Budapest, Hungary. heberger.karoly@ttk.hu.ORCID http://orcid.org/0000-0003-0965-939X

Funding

Magyar Tudományos Akadémia (HU) János Bolyai Research ScholarshipNemzeti Kutatási, Fejlesztési és Innovaciós Alap (HU) OTKA K 134260
6 · The paper itself

Abstract

Quantification of the similarity of objects is a key concept in many areas of computational science. This includes cheminformatics, where molecular similarity is usually quantified based on binary fingerprints. While there is a wide selection of available molecular representations and similarity metrics, there were no previous efforts to extend the computational framework of similarity calculations to the simultaneous comparison of more than two objects (molecules) at the same time. The present study bridges this gap, by introducing a straightforward computational framework for comparing multiple objects at the same time and providing extended formulas for as many similarity metrics as possible. In the binary case (i.e. when comparing two molecules pairwise) these are naturally reduced to their well-known formulas. We provide a detailed analysis on the effects of various parameters on the similarity values calculated by the extended formulas. The extended similarity indices are entirely general and do not depend on the fingerprints used. Two types of variance analysis (ANOVA) help to understand the main features of the indices: (i) ANOVA of mean similarity indices; (ii) ANOVA of sum of ranking differences (SRD). Practical aspects and applications of the extended similarity indices are detailed in the accompanying paper: Miranda-Quintana et al. J Cheminform. 2021. https://doi.org/10.1186/s13321-021-00504-4 . Python code for calculating the extended similarity metrics is freely available at: https://github.com/ramirandaq/MultipleComparisons .

Indexed as

ANOVAComparisonsConsistencyExtended similarity indicesMolecular fingerprintsRankingsSum of ranking differences

Identifiers

PMID33892802
PMCPMC8067658

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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.