Evidence map›Paper›PMID 42248911›Full record

ArticleNature communications2026

Real-time electrical monitoring of enzymatic catalytic dynamics at the single-molecule level.

Zhimin Fan, Zusen Chen, Zhengwen Gong, Sanjun Shi, Mingdi Xu, Xiaonan Feng, Yulu Liu, Ya Hu, Xiaoduo Chen, Guomao Zheng and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

11 authors.

Zhimin FanShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Zusen ChenShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Zhengwen GongKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
Sanjun ShiShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Mingdi XuShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Xiaonan FengShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Yulu LiuShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Ya HuShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Xiaoduo ChenShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Guomao ZhengShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Bintian ZhangShenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China. zhangbintian@sustech.edu.cn.ORCID http://orcid.org/0000-0002-1617-6217

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22276088, 22576093Shenzhen Science and Technology Innovation Commission KQTD20240729102048052, KCXFZ20230731093601003, 20231116144111001
6 · The paper itself

Abstract

Monitoring enzyme structural dynamics is essential for elucidating catalytic mechanisms, yet transient conformational fluctuations on microsecond-to-millisecond timescales remain challenging to resolve with conventional techniques. Here, we investigate the catalytic dynamics of cytochrome P450 1A1 (CYP1A1) during benzo[a]pyrene (BaP) metabolism by measuring single-molecule protein conductance. We show that catalysis-induced α-helix structural rearrangements, together with redox transitions of the heme center, modulate charge-transport efficiency. A negative correlation between BaP concentration and conductance enables construction of a kinetic model, yielding an apparent Michaelis constant of 24.2-43.2 μM. Real-time conductance measurements resolve four distinct conductance states associated with catalytic intermediates, which are further assigned using metabolic intermediates as substrates. These results provide insight into competing detoxification and activation pathways of BaP metabolism. This work establishes protein conductance as a generalizable platform for probing transient enzymatic dynamics and kinetics at the single-molecule level.

Indexed as

Cytochrome P-450 CYP1A1Single Molecule ImagingAnimalsBenzo(a)pyreneBiocatalysisCatalysisHemeKineticsOxidation-ReductionBenzo(a)pyreneCytochrome P-450 CYP1A1Heme

Identifiers

PMID42248911
PMCPMC13396217

What Socratic 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 Socratic graph.