ArticleProceedings of the National Academy of Sciences of the United States of America2023
Parallel molecular computation on digital data stored in DNA.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 32 citations in OpenAlex.
- A thermodynamically favoured molecular computer.Nature · 2026Article
- DNA-Based Boolean Logic Gates for Molecular Computation and Biosensing: A Critical Review.Molecular biotechnology · 2026Review
- Electric field-guided random-access DNA data storage.Science advances · 2026Article
- Engineering and Assay of Enzymes for Expanded Genetic Alphabet Replication.Biochemistry · 2025Article
- DNA Sequential Logic Circuits for Reversible Counters and Dynamic Biomolecular Sensing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Electro-switchable addressing system for achieving repetitive random data access.Nucleic acids research · 2025Article
- DNA storage: The future direction for medical cold data storage.Synthetic and systems biotechnology · 2025Review
- Implementing complex nucleic acid circuits in living cells.Science advances · 2025Article
- Instruction-responsive programmable assemblies with DNA origami block pieces.Nucleic acids research · 2025Article
- SemiSynBio: A new era for neuromorphic computing.Synthetic and systems biotechnology · 2024Review
- DNA as a universal chemical substrate for computing and data storage.Nature reviews. Chemistry · 2024Review
- Parallel molecular computation on digital data stored in DNA.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA is an incredibly dense storage medium for digital data. However, computing on the stored information is expensive and slow, requiring rounds of sequencing, in silico computation, and DNA synthesis. Prior work on accessing and modifying data using DNA hybridization or enzymatic reactions had limited computation capabilities. Inspired by the computational power of "DNA strand displacement," we augment DNA storage with "in-memory" molecular computation using strand displacement reactions to algorithmically modify data in a parallel manner. We show programs for binary counting and Turing universal cellular automaton Rule 110, the latter of which is, in principle, capable of implementing any computer algorithm. Information is stored in the nicks of DNA, and a secondary sequence-level encoding allows high-throughput sequencing-based readout. We conducted multiple rounds of computation on 4-bit data registers, as well as random access of data (selective access and erasure). We demonstrate that large strand displacement cascades with 244 distinct strand exchanges (sequential and in parallel) can use naturally occurring DNA sequence from M13 bacteriophage without stringent sequence design, which has the potential to improve the scale of computation and decrease cost. Our work merges DNA storage and DNA computing, setting the foundation of entirely molecular algorithms for parallel manipulation of digital information preserved in DNA.
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.