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Isothermal reactivating whiplash PCR for locally programmable molecular computation

Publication ,  Journal Article
Reif, JH; Majumder, U
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
November 27, 2009

Whiplash PCR (WPCR), due to Hagiya et al. [1], is a novel technique for autonomous molecular computation where a state machine is implemented with a single stranded DNA molecule and state transition is driven by polymerase and thermal cycles. The significance of WPCR computation lies in the fact that while other forms of autonomous molecular computing such as tiling assembly [2] or Benenson automata [3] operate based on global rules, it is possible to execute multiple WPCR machines, each holding its own distinct program, in parallel. However, since each transition requires a thermal cycle, multi-step WPCR machines are laborious and time-consuming. Hence they limit program execution to only a few steps. To date, no WPCR protocol has been developed which is both autocatalytic (self-executing) and isothermal (with no change in temperature). Here we describe such a protocol for computing with WPCR which uses a combination of strand displacement and DNA polymerization. Our designs include (1) a protocol where transition rules cannot be reused in subsequent computing, a feature that is crucial for reducing back-hybridization (2) a protocol where rules can be reused using an auxiliary strand displacement event, (3) a reusable rule protocol that prevents back-hybridization [1]. We also compute its state transition likelihood and rate and present a DNA sequence design of a 3-state machine and an experimental verification plan. © 2009 Springer Berlin Heidelberg.

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

November 27, 2009

Volume

5347 LNCS

Start / End Page

41 / 56

Related Subject Headings

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

Citation

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Reif, J. H., & Majumder, U. (2009). Isothermal reactivating whiplash PCR for locally programmable molecular computation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5347 LNCS, 41–56. https://doi.org/10.1007/978-3-642-03076-5_5
Reif, J. H., and U. Majumder. “Isothermal reactivating whiplash PCR for locally programmable molecular computation.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5347 LNCS (November 27, 2009): 41–56. https://doi.org/10.1007/978-3-642-03076-5_5.
Reif JH, Majumder U. Isothermal reactivating whiplash PCR for locally programmable molecular computation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2009 Nov 27;5347 LNCS:41–56.
Reif, J. H., and U. Majumder. “Isothermal reactivating whiplash PCR for locally programmable molecular computation.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5347 LNCS, Nov. 2009, pp. 41–56. Scopus, doi:10.1007/978-3-642-03076-5_5.
Reif JH, Majumder U. Isothermal reactivating whiplash PCR for locally programmable molecular computation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2009 Nov 27;5347 LNCS:41–56.

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

November 27, 2009

Volume

5347 LNCS

Start / End Page

41 / 56

Related Subject Headings

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