Evidence map›Paper›PMID 24000362›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2013

RNA nanotechnology for computer design and in vivo computation.

Meikang Qiu, Emil Khisamutdinov, Zhengyi Zhao, Cheryl Pan, Jeong-Woo Choi, Neocles B Leontis, Peixuan Guo

Open access · bronzeAbstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 102 citations in OpenAlex.

  1. Article
  2. Article
  3. Construction of RNA nanotubes.Nano research · 2019
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Molecular nanostructure and nanotechnology.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2013
    Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Meikang QiuDepartment of Computer Engineering, San Jose State University, , San Jose, CA 95192, USA.
Emil Khisamutdinov
Zhengyi Zhao
Cheryl Pan
Jeong-Woo Choi
Neocles B Leontis
Peixuan Guo
University of Kentucky · USBowling Green State University · USSan Jose State University · USSogang University · KR

Funding

Phi29 Motor Nanopore for Single Molecule Sensing and dsDNA FingerprintingR01EB012135 · NIBIB · UNIVERSITY OF KENTUCKY · PI GUO, PEIXUAN · 2011 to 2019
$2.6M
Nanotube and nanogold to gear phi29 DNA packaging motorR01EB003730 · NIBIB · UNIVERSITY OF KENTUCKY · PI GUO, PEIXUAN · 2004 to 2012
$2.3M
RNA Nanotechnology in Cancer TherapyU01CA151648 · NCI · UNIVERSITY OF KENTUCKY · PI GUO, PEIXUAN, LI, HENRY · 2010 to 2014
$2.1M
NCI NIH HHS U01 CA151648NIBIB NIH HHS R01 EB003730NIBIB NIH HHS R01 EB012135
6 · The paper itself

Abstract

Molecular-scale computing has been explored since 1989 owing to the foreseeable limitation of Moore's law for silicon-based computation devices. With the potential of massive parallelism, low energy consumption and capability of working in vivo, molecular-scale computing promises a new computational paradigm. Inspired by the concepts from the electronic computer, DNA computing has realized basic Boolean functions and has progressed into multi-layered circuits. Recently, RNA nanotechnology has emerged as an alternative approach. Owing to the newly discovered thermodynamic stability of a special RNA motif (Shu et al. 2011 Nat. Nanotechnol. 6, 658-667 (doi:10.1038/nnano.2011.105)), RNA nanoparticles are emerging as another promising medium for nanodevice and nanomedicine as well as molecular-scale computing. Like DNA, RNA sequences can be designed to form desired secondary structures in a straightforward manner, but RNA is structurally more versatile and more thermodynamically stable owing to its non-canonical base-pairing, tertiary interactions and base-stacking property. A 90-nucleotide RNA can exhibit 4⁹⁰ nanostructures, and its loops and tertiary architecture can serve as a mounting dovetail that eliminates the need for external linking dowels. Its enzymatic and fluorogenic activity creates diversity in computational design. Varieties of small RNA can work cooperatively, synergistically or antagonistically to carry out computational logic circuits. The riboswitch and enzymatic ribozyme activities and its special in vivo attributes offer a great potential for in vivo computation. Unique features in transcription, termination, self-assembly, self-processing and acid resistance enable in vivo production of RNA nanoparticles that harbour various regulators for intracellular manipulation. With all these advantages, RNA computation is promising, but it is still in its infancy. Many challenges still exist. Collaborations between RNA nanotechnologists and computer scientists are necessary to advance this nascent technology.

Indexed as

Signal Processing, Computer-AssistedComputers, MolecularGenes, SwitchNanotechnologyRNARNAcomputermolecular-scale computingnanobiotechnologyRNA computationRNA nanoparticlesRNA nanostructure

Identifiers

PMID24000362
PMCPMC3758167
OpenAlexW2036594035

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.