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A survey on molecular-scale learning systems with relevance to DNA computing.

Publication ,  Journal Article
Nagipogu, RT; Fu, D; Reif, JH
Published in: Nanoscale
May 2023

DNA computing has emerged as a promising alternative to achieve programmable behaviors in chemistry by repurposing the nucleic acid molecules into chemical hardware upon which synthetic chemical programs can be executed. These chemical programs are capable of simulating diverse behaviors, including boolean logic computation, oscillations, and nanorobotics. Chemical environments such as the cell are marked by uncertainty and are prone to random fluctuations. For this reason, potential DNA-based molecular devices that aim to be deployed into such environments should be capable of adapting to the stochasticity inherent in them. In keeping with this goal, a new subfield has emerged within DNA computing, focusing on developing approaches that embed learning and inference into chemical reaction systems. If realized in biochemical contexts, such molecular machines can engender novel applications in fields such as biotechnology, synthetic biology, and medicine. Therefore, it would be beneficial to review how different ideas were conceived, how the progress has been so far, and what the emerging ideas are in this nascent field of 'molecular-scale learning'.

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Published In

Nanoscale

DOI

EISSN

2040-3372

ISSN

2040-3364

Publication Date

May 2023

Volume

15

Issue

17

Start / End Page

7676 / 7694

Related Subject Headings

  • Synthetic Biology
  • Nucleic Acids
  • Nanoscience & Nanotechnology
  • Logic
  • DNA
  • Computers, Molecular
  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences
  • 10 Technology
 

Citation

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ICMJE
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Nagipogu, R. T., Fu, D., & Reif, J. H. (2023). A survey on molecular-scale learning systems with relevance to DNA computing. Nanoscale, 15(17), 7676–7694. https://doi.org/10.1039/d2nr06202j
Nagipogu, Rajiv Teja, Daniel Fu, and John H. Reif. “A survey on molecular-scale learning systems with relevance to DNA computing.Nanoscale 15, no. 17 (May 2023): 7676–94. https://doi.org/10.1039/d2nr06202j.
Nagipogu RT, Fu D, Reif JH. A survey on molecular-scale learning systems with relevance to DNA computing. Nanoscale. 2023 May;15(17):7676–94.
Nagipogu, Rajiv Teja, et al. “A survey on molecular-scale learning systems with relevance to DNA computing.Nanoscale, vol. 15, no. 17, May 2023, pp. 7676–94. Epmc, doi:10.1039/d2nr06202j.
Nagipogu RT, Fu D, Reif JH. A survey on molecular-scale learning systems with relevance to DNA computing. Nanoscale. 2023 May;15(17):7676–7694.

Published In

Nanoscale

DOI

EISSN

2040-3372

ISSN

2040-3364

Publication Date

May 2023

Volume

15

Issue

17

Start / End Page

7676 / 7694

Related Subject Headings

  • Synthetic Biology
  • Nucleic Acids
  • Nanoscience & Nanotechnology
  • Logic
  • DNA
  • Computers, Molecular
  • 51 Physical sciences
  • 40 Engineering
  • 34 Chemical sciences
  • 10 Technology