Evidence map›Paper›PMID 40473794›Full record

ReviewNature reviews. Chemistry2025

Emerging mechanically interlocked cages.

Enping Du, Xianhui Tang, Wenqiang Zhang, Jinqiao Dong, Yong Cui, Yan Liu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Robust Heterometallic PtAngewandte Chemie (International ed. in English) · 2025
    Article
  9. 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

6 authors.

Enping Du *School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Xianhui Tang *School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Wenqiang ZhangSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Jinqiao DongSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, China. jinqiaodong@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-4400-5490
Yong CuiSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, China. yongcui@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-7921-8197
Yan LiuSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, China. liuy@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-7560-519X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanically interlocked molecules, including catenanes, rotaxanes and knots, are an intriguing class of synthetic targets with potential applications in molecular switches and machines. Although mechanically interlocked molecules are typically constructed using macrocyclic frameworks, the interlocking of two or more three-dimensional, shape-persistent cages remains relatively underexplored. Recent advances have accelerated the development of mechanically interlocked cages (MICs), which consist of interlocked three-dimensional molecular cages rather than macrocycles. Despite their potential in areas such as molecular recognition, separation and catalysis, the design and synthesis of MICs remain challenging. This Review examines the synthetic strategies used to construct MICs, along with their interlocked architecture characteristics, structural dynamics and potential applications. Special attention is given to the guest-binding properties and catalytic performance of monomeric versus catenated cages. We conclude with perspectives on the current challenges and opportunities for future development of MICs.

Identifiers

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.