Evidence map›Paper›PMID 41334703›Full record

ReviewChemistry (Weinheim an der Bergstrasse, Germany)2026

Multiple Conductance States in Artificial Unimolecular Channels.

Jia-Fen Lin, Xu-Dong Wang, Yu-Fei Ao, Qi-Qiang Wang, De-Xian Wang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Chemistry (Weinheim an der Bergstrasse, Germany), 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

5 authors.

Jia-Fen LinBeijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Molecular Recognition and Function, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
Xu-Dong WangBeijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Molecular Recognition and Function, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
Yu-Fei AoBeijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Molecular Recognition and Function, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
Qi-Qiang WangBeijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Molecular Recognition and Function, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.
De-Xian WangBeijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Molecular Recognition and Function, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-9059-5022

Funding

Beijing National Laboratory for Molecular Sciences BNLMS-CXXM-202002National Natural Science Foundation of China 22171271National Natural Science Foundation of China 92356308
6 · The paper itself

Abstract

Since the 1980s, the patch-clamp technique has revealed subconductance states (substates) in natural ion channels in addition to the traditional closed and fully open states. While subconductance states offer critical insights into the structure and function of ion channels, the structural basis underlying this behavior remains unclear. Artificial ion channels can serve as simplified molecular models to establish structure-function relationships; however, replicating subconductance behavior is extremely challenging. Here, we present a concept for a conformationally self-tuning macrocyclic skeleton designed to observe and modulate subconductance states in artificial channels. This concept was experimentally validated using oxacalix[2]arene[2]triazine-based molecular funnels.

Indexed as

anion–π interactionsartificial single‐molecule channelmolecular funneloxacalix[2]arene[2]triazinesubconductance state

Identifiers

PMID41334703
PMCPMC13472345

What OpenQuestion holds

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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.