Evidence map›Paper›PMID 42509326›Full record

ReviewNature reviews. Chemistry2026

Supramolecular self-assembly by layering orthogonality to program identity, connectivity and conformation.

Jordan N Smith, Jess L Algar, Nina R Lawson, Zack T Avery, Nicholas G White, Dan Preston

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jordan N SmithResearch School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia. jordan.smith@anu.edu.au.ORCID http://orcid.org/0000-0002-7009-6525
Jess L AlgarResearch School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0002-7460-0506
Nina R LawsonResearch School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia.
Zack T AveryResearch School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia.
Nicholas G WhiteResearch School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia.ORCID http://orcid.org/0000-0003-2975-0887
Dan PrestonResearch School of Chemistry, Australian National University, Canberra, Australian Capital Territory, Australia. daniel.preston@anu.edu.au.ORCID http://orcid.org/0000-0002-1093-8153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supramolecular systems derive their structure and function from reversible interactions or bonds that direct components into defined architectures. Natural assemblies such as enzymes, nucleic acids and membranes illustrate how different types of dynamic interactions can act in parallel to control the presence, order, sequence and orientation of assembled components, yet remain independent from one another to enable advanced function. Reproducing this level of control in discrete, artificial systems relies on the same approach. This Review outlines how different reversible interactions found in supramolecular systems - dynamic-covalent bonds, metal-coordination, hydrogen bonding, σ-hole and π-interactions - can be used individually or in concert to program the assembly of sophisticated structures at equilibrium. Emphasis is placed on systems of low symmetry or complex topology, showcasing strategies for generating discrete receptors, capsules, cages, interlocked architectures and foldamers with structural precision.

Identifiers

What OpenQuestion holds

Textmetadata
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.