Evidence map›Paper›PMID 40631436›Full record

ReviewAngewandte Chemie (International ed. in English)2025

Embracing Complexity: Peptides as Tunable Scaffolds in the Construction of Discrete Supramolecular Systems.

Ben E Barber, Ellen M G Jamieson, Leah E M White, Charlie T McTernan

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Tangled Tail of Mechanically Interlocked Peptides.Journal of the American Chemical Society · 2026
    Review
  2. Review
  3. Article
  4. 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

4 authors.

Ben E Barber *Artificial Molecular Machinery Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW11AT, UK.
Ellen M G Jamieson *Artificial Molecular Machinery Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW11AT, UK.
Leah E M White *Artificial Molecular Machinery Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW11AT, UK.
Charlie T McTernanArtificial Molecular Machinery Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW11AT, UK.ORCID 0000-0003-1359-0663

Funding

Cancer Research UK CC2213Francis Crick InstituteLeverhulme Trust RPG-2022-240UKRI under Future Leaders Fellowship MR/W00657X/1Wellcome Trust CC2213
6 · The paper itself

Abstract

Supramolecular chemistry has advanced rapidly, with scientists using fundamental understanding to generate function from simple building blocks. However, synthetic systems are still in their infancy when compared to biology. The increasing use of peptides in supramolecular structures provides a clear roadmap to more complex function, introducing chiral, information-rich building blocks from a readily available pool. Peptides have historically been incorporated as modular additions to discrete supramolecular architectures to interface with biological systems. More recently, supramolecular chemists have embraced the complexity of secondary and tertiary structures and peptides' intrinsic propensity for folding to enable the formation of supramolecular architectures built from peptides, leveraging their innate properties. We explore the urgent need to embrace complex, chiral, folded building blocks in discrete supramolecular architectures and illustrate how this will provide opportunities for novel functions and applications.

Indexed as

Macromolecular SubstancesPeptidesProtein FoldingMacromolecular SubstancesPeptidesPeptidesProteinsSecondary structureSelf‐assemblySupramolecular chemistry

Identifiers

PMID40631436
PMCPMC12363633

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.