Artificial neuron calculation model construction method based on DNA cage structure

Abstract

The invention discloses an artificial neuron calculation model construction method based on a DNA cage structure, and the method comprises the steps: constructing a cage structure with rA modification, enabling the cage structure to serve as an input layer of an artificial neuron model, and employing E6 DNAzyme as the weight of a neuron; constructing a normalization module, and using E6 DNAzyme Z1, Z2 and Z3 as weights of neurons; constructing a normalization module by utilizing an E6 DNAzyme enzyme digestion band rA modified cage structure, taking different outputs generated by enzyme digestion reaction as inputs of normalization reaction, and realizing a weighted sum process through normalization reaction; constructing a linear threshold processing module, namely a threshold function ofneurons, according to the reversible reaction of strand displacement and the reaction rate of strand displacement; and connecting the output module with the normalization module and the threshold processing module, so that normalized output is enabled to react with the Threshold gate preferentially; and then reacting with the Output gate after the reaction is finished; and finally, generating a real output, i.e., connecting each module to form an artificial neuron model.

Description

technical field

[0001] The invention relates to the field of biological computing, in particular to a method for constructing an artificial neuron computing model based on a DNA cage structure. Background technique

[0002] So far, DNA computing has made great progress in theory, design, and application, and has been deeply studied in many fields such as information processing, molecular intelligence, molecular encryption, and nanomachines. Most current biocomputing dynamic operations based on DNA molecules rely on the strand displacement reactions of DNA sequences in DNA networks. The calculation principle of DNA strand displacement is that DNA molecules will always migrate to the most stable state. In the reaction system, the most stable complementary DNA strands will be combined, and other DNA strands will be replaced. It has the advantages of fast response speed, high sensitivity, and high parallelism, and is therefore widely used in the research of DNA molecular logic ...

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