Evidence map›Paper›PMID 42425917›Full record

ReviewJournal of molecular recognition : JMR2026

Atomic Force Microscopy Based Single Molecule Recognition: Deciphering Biological Interactions at the Nanoscale.

Huaiwei Zhang, Qianhui Xu, Junmei Chen, Danhong Chen, Haijian Zhong, Weidong Zhao

Abstract readReview
In one paragraph

Review in Journal of molecular recognition : JMR, 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.

Huaiwei ZhangJiangxi Provincial Key Laboratory of Tissue Engineering, Gannan Medical University, Ganzhou, People's Republic of China.
Qianhui XuJiangxi Provincial Key Laboratory of Tissue Engineering, Gannan Medical University, Ganzhou, People's Republic of China.
Junmei ChenJiangxi Provincial Key Laboratory of Tissue Engineering, Gannan Medical University, Ganzhou, People's Republic of China.
Danhong ChenJiangxi Provincial Key Laboratory of Tissue Engineering, Gannan Medical University, Ganzhou, People's Republic of China.
Haijian ZhongJiangxi Provincial Key Laboratory of Tissue Engineering, Gannan Medical University, Ganzhou, People's Republic of China.ORCID https://orcid.org/0000-0002-5396-559X
Weidong ZhaoJiangxi Provincial Key Laboratory of Tissue Engineering, Gannan Medical University, Ganzhou, People's Republic of China.

Funding

National Natural Science Foundation of China 62164001National Natural Science Foundation of China 62571141startup funds of Gannan Medical University QD201906startup funds of Gannan Medical University QD202011Suquzhiguang project of Ganzhou GZSQZG202102034Talent project of Jiangxi Province jxsq2020101095
6 · The paper itself

Abstract

Atomic Force Microscopy (AFM) based single molecule recognition has emerged as a transformative paradigm in nanoscale biology, enabling direct investigation of biological interactions under physiological conditions. This technology bridges critical gaps between structural characterization and functional analysis by providing unparalleled capabilities for quantifying binding forces, mapping molecular distributions, and resolving kinetic parameters at the single molecule level. The core methodology relies on precision probe functionalization strategies, such as oriented immobilization and polyethylene glycol (PEG) linkers, to ensure specific recognition while minimizing nonspecific interactions. Advanced techniques, including single molecule force spectroscopy (SMFS) and topography and recognition imaging (TREC), allow simultaneous acquisition of morphological and binding data with nanometer resolution, revealing insights into molecular organization and dynamics. Applications span diverse domains, from fundamental studies of antigen-antibody interactions and DNA-protein binding to clinical investigations of membrane receptor distributions in cancer cells and pathological diagnosis based on mechanical properties. Despite challenges in throughput, signal resolution, and standardization, integration with super-resolution microscopy and spectroscopic techniques demonstrates significant potential. Future developments emphasize multimodal correlation, artificial intelligence-assisted data analysis, and clinical translation toward nano biopsy, positioning AFM as a highly valuable and complementary platform for advancing molecular biophysics, drug discovery, and personalized medicine, notably due to its unique capability to combine nanoscale imaging with single-molecule force measurement on the same sample under physiological conditions.

Indexed as

Microscopy, Atomic ForceNanotechnologySingle Molecule ImagingAnimalsDNAHumansPolyethylene GlycolsProtein BindingDNAPolyethylene Glycolsatomic force microscopynanoscale biophysicsprecision medicinesingle molecular recognition imagingsingle molecule force spectroscopy

Identifiers

PMID42425917
PMCPMC13349906

What OpenQuestion holds

Textmetadata
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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.