Evidence map›Paper›PMID 34559562›Full record

ArticleScience advances2021

Exploring and mapping chemical space with molecular assembly trees.

Yu Liu, Cole Mathis, Michał Dariusz Bajczyk, Stuart M Marshall, Liam Wilbraham, Leroy Cronin

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. The origin and development of life in an informational dissipative perspective.Theory in biosciences = Theorie in den Biowissenschaften · 2026
    Article
  2. Review
  3. Rapid Exploration of the Assembly Chemical Space of Molecular Graphs.Journal of chemical information and modeling · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Single-Molecule Mixture: A Concept in Polymer Science.International journal of molecular sciences · 2024
    Article
  9. Review
  10. Assembly Theory: What It Does and What It Does Not Do.Journal of molecular evolution · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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

6 authors.

Yu LiuSchool of Chemistry, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK.ORCID 0000-0003-2640-6490
Cole MathisSchool of Chemistry, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK.ORCID 0000-0001-8424-9169
Michał Dariusz BajczykSchool of Chemistry, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK.
Stuart M MarshallSchool of Chemistry, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK.ORCID 0000-0003-1045-9395
Liam WilbrahamSchool of Chemistry, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK.
Leroy CroninSchool of Chemistry, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK.ORCID 0000-0001-8035-5757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rule-based search of chemical space can generate an almost infinite number of molecules, but exploration of known molecules as a function of the minimum number of steps needed to build up the target graphs promises to uncover new motifs and transformations. Assembly theory is an approach to compare the intrinsic complexity and properties of molecules by the minimum number of steps needed to build up the target graphs. Here, we apply this approach to prebiotic chemistry, gene sequences, plasticizers, and opiates. This allows us to explore molecules connected to the assembly tree, rather than the entire space of molecules possible. Last, by developing a reassembly method, based on assembly trees, we found that in the case of the opiates, a new set of drug candidates could be generated that would not be accessible via conventional fragment-based drug design, thereby demonstrating how this approach might find application in drug discovery.

Identifiers

PMID34559562
PMCPMC8462901

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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.