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A DNA Finite-State Machine Based on the Programmable Allosteric Strategy of DNAzyme.

Jun WangXiaokang ZhangPeijun ShiBen CaoBin Wang
Published in: International journal of molecular sciences (2023)
Living organisms can produce corresponding functions by responding to external and internal stimuli, and this irritability plays a pivotal role in nature. Inspired by such natural temporal responses, the development and design of nanodevices with the ability to process time-related information could facilitate the development of molecular information processing systems. Here, we proposed a DNA finite-state machine that can dynamically respond to sequential stimuli signals. To build this state machine, a programmable allosteric strategy of DNAzyme was developed. This strategy performs the programmable control of DNAzyme conformation using a reconfigurable DNA hairpin. Based on this strategy, we first implemented a finite-state machine with two states. Through the modular design of the strategy, we further realized the finite-state machine with five states. The DNA finite-state machine endows molecular information systems with the ability of reversible logic control and order detection, which can be extended to more complex DNA computing and nanomachines to promote the development of dynamic nanotechnology.
Keyphrases
  • deep learning
  • single molecule
  • circulating tumor
  • cell free
  • living cells
  • healthcare
  • circulating tumor cells
  • real time pcr
  • neural network