Evidence map›Paper›PMID 37077402›Full record

ArticleACS medicinal chemistry letters2023

Relevance of the Trillion-Sized Chemical Space "eXplore" as a Source for Drug Discovery.

Alexander Neumann, Lester Marrison, Raphael Klein

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Strategies for Identifying Molecules of Interest in Large Chemical Spaces.Journal of chemical information and modeling · 2026
    Article
  4. Circumventing the Synthesizability Problem in Generative Molecular Design.Journal of chemical information and modeling · 2026
    Article
  5. Article
  6. Nested TMAPs to Visualize Billions of Molecules.Journal of chemical information and modeling · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Generative AI for navigating synthesizable chemical space.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. A View on Molecular Complexity from the GDB Chemical Space.Journal of chemical information and modeling · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Chemical space as a unifying theme for chemistry.Journal of cheminformatics · 2025
    Article
  18. Article
  19. Article
  20. 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.

Alexander NeumannBioSolveIT GmbH, An der Ziegelei 79, 53757 Sankt Augustin, Germany.
Lester MarrisoneMolecules, 3430 Carmel Mountain Road, Suite 250, San Diego, California 92121, United States.
Raphael KleinBioSolveIT GmbH, An der Ziegelei 79, 53757 Sankt Augustin, Germany.ORCID https://orcid.org/0000-0002-5087-8730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the past two decades, virtual combinatorial compound collections, so-called chemical spaces, became an important molecule source for pharmaceutical research all over the world. The emergence of compound vendor chemical spaces with rapidly growing numbers of molecules raises questions about their application suitability and the quality of the content. Here, we examine the composition of the recently published and, so far, biggest chemical space, "eXplore", which comprises approximately 2.8 trillion virtual product molecules. The utility of eXplore to retrieve interesting chemistry around approved drugs and common Bemis Murcko scaffolds has been assessed with several methods (FTrees, SpaceLight, SpaceMACS). Further, the overlap between several vendor chemical spaces and a physicochemical property distribution analysis has been performed. Despite the straightforward chemical reactions underlying its setup, eXplore is demonstrated to provide relevant and, most importantly, easily accessible molecules for drug discovery campaigns.

Identifiers

PMID37077402
PMCPMC10108389

What OpenQuestion holds

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Registered trials

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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.