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Localized hybridization circuits

Publication ,  Journal Article
Chandran, H; Gopalkrishnan, N; Phillips, A; Reif, J
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
September 29, 2011

Molecular computing executed via local interactions of spatially contiguous sets of molecules has potential advantages of (i) speed due to increased local concentration of reacting species, (ii) generally sharper switching behavior and higher precision due to single molecule interactions, (iii) parallelism since each circuit operates independently of the others and (iv) modularity and scalability due to the ability to reuse DNA sequences in spatially separated regions. We propose detailed designs for local molecular computations that involve spatially contiguous molecules arranged on addressable substrates. The circuits act via enzyme-free DNA hybridization reaction cascades. Our designs include composable OR, AND and propagation Boolean gates, and techniques to achieve higher degree fan-in and fan-out. A biophysical model of localized hybridization reactions is used to estimate the effect of locality on reaction rates. We also use the Visual DSD simulation software in conjunction with localized reaction rates to simulate a localized circuit for computing the square root of a four bit number. © 2011 Springer-Verlag.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

September 29, 2011

Volume

6937 LNCS

Start / End Page

64 / 83

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Chandran, H., Gopalkrishnan, N., Phillips, A., & Reif, J. (2011). Localized hybridization circuits. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6937 LNCS, 64–83. https://doi.org/10.1007/978-3-642-23638-9_8
Chandran, H., N. Gopalkrishnan, A. Phillips, and J. Reif. “Localized hybridization circuits.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6937 LNCS (September 29, 2011): 64–83. https://doi.org/10.1007/978-3-642-23638-9_8.
Chandran H, Gopalkrishnan N, Phillips A, Reif J. Localized hybridization circuits. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2011 Sep 29;6937 LNCS:64–83.
Chandran, H., et al. “Localized hybridization circuits.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6937 LNCS, Sept. 2011, pp. 64–83. Scopus, doi:10.1007/978-3-642-23638-9_8.
Chandran H, Gopalkrishnan N, Phillips A, Reif J. Localized hybridization circuits. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2011 Sep 29;6937 LNCS:64–83.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

September 29, 2011

Volume

6937 LNCS

Start / End Page

64 / 83

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences