ReviewJournal of molecular recognition : JMR2026
Atomic Force Microscopy Based Single Molecule Recognition: Deciphering Biological Interactions at the Nanoscale.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.