Evidence map›Paper›PMID 42411597›Full record

ArticleJournal of chemical information and modeling2026

Mapping Evolution of Molecules across Biochemistry with Assembly Theory.

Sebastian Pagel, Abhishek Sharma, Leroy Cronin

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Molecular assembly as a universal biosignature measurable by mass spectrometry.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Rapid Exploration of the Assembly Chemical Space of Molecular Graphs.Journal of chemical information and modeling · 2025
    Article
  3. 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.

Sebastian PagelSchool of Chemistry, The University of Glasgow, University Avenue, GlasgowG12 8QQ, U.K.
Abhishek SharmaSchool of Chemistry, The University of Glasgow, University Avenue, GlasgowG12 8QQ, U.K.
Leroy CroninSchool of Chemistry, The University of Glasgow, University Avenue, GlasgowG12 8QQ, U.K.ORCID 0000-0001-8035-5757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolution is often understood through genetic mutations driving changes in an organism's fitness, but there is potential to extend this understanding beyond the genetics. We propose that natural products─complex molecules central to Earth's biochemistry─can be used to uncover evolutionary mechanisms beyond genes. By applying assembly theory (AT), which views selection as a process not limited to biological systems, we can map and measure evolutionary forces in these molecules. AT enables the exploration of the assembly space of natural products, demonstrating how the principles of evolution apply to these complex chemical structures, selecting vastly improbable and complex molecules from a vast space of possibilities. By comparing natural products with a broader molecular database, we can assess the degree of evolutionary contingency, providing insight into how molecular novelty emerges and persists. This approach not only quantifies evolutionary selection at the molecular level but also offers a new avenue for drug discovery by exploring the molecular assembly spaces of natural products. Our method provides a fresh perspective on measuring the evolutionary processes both shaping and being read out by the molecular imprint of selection.

Indexed as

BiochemistryBiological ProductsEvolution, MolecularBiological Products

Identifiers

PMID42411597
PMCPMC13417883

What OpenQuestion holds

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LicenceCC BY
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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.