ReviewACS nano2026
Tools For Building Artificial Biological Nanostructures.
Review in ACS nano, 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological nanostructures and nanomachines encompass a wide range of natural assemblies from the smallest prokaryotes to viruses, enzymes, and subcellular compartments. Their capabilities are impressive, including replication, locomotion, and catalysis. To be able to design and produce modified or wholly artificial versions of such systems using biological molecules (proteins, nucleic acids, and lipids) is a long-term goal of engineering biology. However, their complexity makes the design and prediction of their properties challenging, while production, purification, and testing can also be difficult. In recent years, new approaches have been developed to facilitate these processes. Here, we review tools for designing biological molecules, highlighting their capabilities and giving examples of their successful application. Finally, we present possible capabilities of future tools and challenges to their development.
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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.