ArticleProceedings of the National Academy of Sciences of the United States of America2013
Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Learning from Metal Nanocrystal Heterogeneity: A Need for Information-Rich and High-Throughput Single-Nanocrystal Measurements.ACS nanoscience Au · 2025Review
- Regulating phase behavior of nanoparticle assemblies through engineering of DNA-mediated isotropic interactions.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare.Biosensors · 2022Review
- Engineering entropy for the inverse design of colloidal crystals from hard shapes.Science advances · 2019Article
- Using symmetry to elucidate the importance of stoichiometry in colloidal crystal assembly.Nature communications · 2019Article
- Article
- Generic phase diagram of binary superlattices.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Binary nanoparticle superlattices of soft-particle systems.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Stoichiometric control of DNA-grafted colloid self-assembly.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
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
No grant is acknowledged in the PubMed record.
Abstract
In conventional research, colloidal particles grafted with single-stranded DNA are allowed to self-assemble, and then the resulting crystal structures are determined. Although this Edisonian approach is useful for a posteriori understanding of the factors governing assembly, it does not allow one to a priori design ssDNA-grafted colloids that will assemble into desired structures. Here we address precisely this design issue, and present an experimentally validated evolutionary optimization methodology that is not only able to reproduce the original phase diagram detailing regions of known crystals, but is also able to elucidate several previously unobserved structures. Although experimental validation of these structures requires further work, our early success encourages us to propose that this genetic algorithm-based methodology is a promising and rational materials-design paradigm with broad potential applications.
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.