Evidence map›Paper›PMID 35211257›Full record

ReviewChemical science2022

Hierarchical self-assembly of aromatic peptide conjugates into supramolecular polymers: it takes two to tango.

Maëva Coste, Esteban Suárez-Picado, Sébastien Ulrich

Abstract readReview
In one paragraph

Review in Chemical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Self-Assembly of Peptides and Biomolecular Systems Into Functional Nanomaterials.Journal of peptide science : an official publication of the European Peptide Society · 2026
    Review
  3. Article
  4. 2D Assemblies Based on a Tetraphenylethylene D,L-Cyclic Peptide Scaffold.Angewandte Chemie (International ed. in English) · 2025
    Article
  5. Article
  6. Review
  7. 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.

Maëva CosteIBMM, Institut des Biomolécules Max Mousseron, CNRS, Université de Montpellier, ENSCM Montpellier France sebastien.ulrich@enscm.fr.
Esteban Suárez-PicadoIBMM, Institut des Biomolécules Max Mousseron, CNRS, Université de Montpellier, ENSCM Montpellier France sebastien.ulrich@enscm.fr.ORCID https://orcid.org/0000-0003-1161-8175
Sébastien UlrichIBMM, Institut des Biomolécules Max Mousseron, CNRS, Université de Montpellier, ENSCM Montpellier France sebastien.ulrich@enscm.fr.ORCID https://orcid.org/0000-0002-6080-3345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supramolecular polymers are self-assembled materials displaying adaptive and responsive "life-like" behaviour which are often made of aromatic compounds capable of engaging in π-π interactions to form larger assemblies. Major advances have been made recently in controlling their mode of self-assembly, from thermodynamically-controlled isodesmic to kinetically-controlled living polymerization. Dynamic covalent chemistry has been recently implemented to generate dynamic covalent polymers which can be seen as dynamic analogues of biomacromolecules. On the other hand, peptides are readily-available and structurally-rich building blocks that can lead to secondary structures or specific functions. In this context, the past decade has seen intense research activity in studying the behaviour of aromatic-peptide conjugates through supramolecular and/or dynamic covalent chemistries. Herein, we review those impressive key achievements showcasing how aromatic- and peptide-based self-assemblies can be combined using dynamic covalent and/or supramolecular chemistry, and what it brings in terms of the structure, self-assembly pathways, and function of supramolecular and dynamic covalent polymers.

Identifiers

PMID35211257
PMCPMC8790784

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.