ReviewNature reviews. Chemistry2026
Programming DNA machines to move.
Review in Nature reviews. Chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Autonomous migration of a phosphate group along glycerol and inositol scaffolds driven by a phosphodiester reaction cycle.Nature chemistry · 2026Article
- Stepping ahead toward custom-designed autonomous motor proteins.Nature nanotechnology · 2026Article
- Clocked stepping of an artificial protein walker along a DNA track.Nature nanotechnology · 2026Article
- Advances in DNAzyme Selection, Molecular Engineering and Biomedical Applications.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA nanotechnology has rapidly evolved, leading to the development of dynamic nanoscale and microscale devices that mimic natural molecular machinery. This Review explores the latest advancements in DNA-based machines, motors and switches, emphasizing the need for clear definitions to distinguish between these often-interchanged terms. By analysing key performance metrics such as speed, force generation, efficiency and autonomy, we provide a framework for evaluating these devices against their biological counterparts, including motor proteins such as myosin and kinesin. We highlight innovative design strategies such as strand displacement, DNA origami and hybrid systems, which enhance the functionality of DNA-based constructs and bridge the gap between synthetic and natural systems. These advancements have promising applications in areas such as targeted drug delivery, biosensing and nanofabrication, although challenges in achieving the high performance and efficiency seen in biological systems remain. Through a synthesis of current research, this Review outlines the opportunities and challenges in the development of DNA-based nanoscale and microscale devices.
Indexed as
Identifiers
41554952What 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.