Evidence map›Paper›PMID 38799656›Full record

ArticleACS central science2024

Investigating and Quantifying Molecular Complexity Using Assembly Theory and Spectroscopy.

Michael Jirasek, Abhishek Sharma, Jessica R Bame, S Hessam M Mehr, Nicola Bell, Stuart M Marshall, Cole Mathis, Alasdair MacLeod, Geoffrey J T Cooper, Marcel Swart and 2 more

Abstract read
In one paragraph

Article in ACS central science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. 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
  3. Article
  4. Mapping Evolution of Molecules across Biochemistry with Assembly Theory.Journal of chemical information and modeling · 2026
    Article
  5. Article
  6. Chemputer and chemputation-A universal chemical compound synthesis machine.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Rapid Exploration of the Assembly Chemical Space of Molecular Graphs.Journal of chemical information and modeling · 2025
    Article
  9. A View on Molecular Complexity from the GDB Chemical Space.Journal of chemical information and modeling · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Measuring Molecular Complexity.ACS central science · 2024
    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

12 authors.

Michael JirasekSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.
Abhishek SharmaSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.
Jessica R BameSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.
S Hessam M MehrSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.
Nicola BellSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.ORCID https://orcid.org/0000-0002-7497-9667
Stuart M MarshallSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.
Cole MathisSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.
Alasdair MacLeodSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.
Geoffrey J T CooperSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.
Marcel SwartUniversity of Girona, Campus Montilivi (Ciencies), c/M.A. Capmany 69, 17003 Girona, Spain.ORCID https://orcid.org/0000-0002-8174-8488
Rosa MollfulledaUniversity of Girona, Campus Montilivi (Ciencies), c/M.A. Capmany 69, 17003 Girona, Spain.
Leroy CroninSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.ORCID https://orcid.org/0000-0001-8035-5757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current approaches to evaluate molecular complexity use algorithmic complexity, rooted in computer science, and thus are not experimentally measurable. Directly evaluating molecular complexity could be used to study directed vs undirected processes in the creation of molecules, with potential applications in drug discovery, the origin of life, and artificial life. Assembly theory has been developed to quantify the complexity of a molecule by finding the shortest path to construct the molecule from building blocks, revealing its molecular assembly index (MA). In this study, we present an approach to rapidly infer the MA of molecules from spectroscopic measurements. We demonstrate that the MA can be experimentally measured by using three independent techniques: nuclear magnetic resonance (NMR), tandem mass spectrometry (MS/MS), and infrared spectroscopy (IR). By identifying and analyzing the number of absorbances in IR spectra, carbon resonances in NMR, or molecular fragments in tandem MS, the MA of an unknown molecule can be reliably estimated. This represents the first experimentally quantifiable approach to determining molecular assembly. This paves the way to use experimental techniques to explore the evolution of complex molecules as well as a unique marker of where an evolutionary process has been operating.

Identifiers

PMID38799656
PMCPMC11117308

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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.