Evidence map›Paper›PMID 38873032›Full record

ArticleDigital discovery2024

iSIM: instant similarity.

Kenneth López-Pérez, Taewon D Kim, Ramón Alain Miranda-Quintana

Abstract read
In one paragraph

Article in Digital discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Pathway representationDigital discovery · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. ScalingJournal of chemical information and modeling · 2026
    Article
  8. Article
  9. Article
  10. Best practices to cluster large molecular libraries.bioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Article
  13. Selector: A General Python Library for Diverse Subset Selection.Journal of chemical information and modeling · 2026
    Article
  14. Article
  15. Selector: A General Python Library for Diverse Subset Selection.bioRxiv : the preprint server for biology · 2025
    Article
  16. BitBIRCH-Lean: chemical space in the palm of your workstation.bioRxiv : the preprint server for biology · 2025
    Article
  17. Undersampling techniques for large datasets.bioRxiv : the preprint server for biology · 2025
    Article
  18. Efficiently finding activity cliffs.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. iSIM-Sigma: Efficient Standard Deviation Calculation for Molecular Similarity.Journal of chemical information and modeling · 2025
    Article
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

3 authors.

Kenneth López-PérezDepartment of Chemistry and Quantum Theory Project, University of Florida Gainesville Florida 32611 USA quintana@chem.ufl.edu.
Taewon D KimDepartment of Chemistry and Quantum Theory Project, University of Florida Gainesville Florida 32611 USA quintana@chem.ufl.edu.
Ramón Alain Miranda-QuintanaDepartment of Chemistry and Quantum Theory Project, University of Florida Gainesville Florida 32611 USA quintana@chem.ufl.edu.ORCID https://orcid.org/0000-0003-2121-4449

Funding

Tackling Big Data problems in biomedical sciences with extended similarity methodsR35GM150620 · NIGMS · UNIVERSITY OF FLORIDA · PI Ramon Alain Miranda Quintana · 2023 to 2026
$1.4M
NIGMS NIH HHS R35 GM150620
6 · The paper itself

Abstract

The quantification of molecular similarity has been present since the beginning of cheminformatics. Although several similarity indices and molecular representations have been reported, all of them ultimately reduce to the calculation of molecular similarities of only two objects at a time. Hence, to obtain the average similarity of a set of molecules, all the pairwise comparisons need to be computed, which demands a quadratic scaling in the number of computational resources. Here we propose an exact alternative to this problem: iSIM (instant similarity). iSIM performs comparisons of multiple molecules at the same time and yields the same value as the average pairwise comparisons of molecules represented by binary fingerprints and real-value descriptors. In this work, we introduce the mathematical framework and several applications of iSIM in chemical sampling, visualization, diversity selection, and clustering.

Identifiers

PMID38873032
PMCPMC11167700

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.