The rapid development trend of electronic device computers has greatly promoted the development of human society’s technological progress. However, along with the increase in the processing speed of integrated ICs, the output power and computation rate have become faster and faster, and the functional loss of integrated ICs, packaging, etching processing and other difficulties have become more and more insurmountable. The development trend of integrated circuit chips has been getting closer and closer to the limits of what technology can allow; secondly, because of the new high-tech scientific research on the characteristics of computers continue to clearly put forward high regulations. As a result, biologists expect to use new and upgraded computing fundamentals, technology and machinery to develop new types of computers that can surpass electronic device computers in the future in terms of computational speed and storage workability. As a result, quantum technology computers, neural network algorithm computers, nanotube computers and molecular biology computers have been created one after another, among which DNA computers, which use DNA molecules as the computing material, have attracted much attention.
The scientific research of DNA computing began in 1994 with a biochemical experiment to design a scheme and complete the problem of finding the Hamiltonian pathway. He used DNA molecules to encode data to solve the information and then complete the whole process of computation according to the biological bacteria or controllable biochemical reactions, which has caused the interest of experts in computer, mathematics class, biology and other industries. Its key practical significance depends not only on the optimization algorithm and rate, but also on the selection of a new and upgraded information medium to carry out computation, which opens up a new field of computational science research by dealing with complicated combinatorial optimization problems with biotechnology.
After decades of development trend, scholars have clearly proposed models with computational completeness such as sticky model, clip model, equivalent check model, self-assembled DNA computation model and microfluidic DNA computation model according to the probability of practical operation in biology, and such models have been confirmed to be equivalent to Turing machines. The microfluidic DNA computation model has further improved the stability of DNA computation by reducing the manual production and reaction speed of the whole process of experiments in traditional DNA computation with microfluidic technology, and has become one of the hot models of scientific research in DNA computation in recent years.
Basic concept of DNA computing
DNA computation is the use of DNA molecular structure and base complementary matching standard pair information and computational standard numbering to project the solved problem into a special DNA molecule wonderful fragment; then carry out the problem according to the controllable biochemical reaction; finally use a variety of contemporary molecular biotechnology such as polymerase chain reaction PCR, convergent recombination large technical POA, ultrasonic dissolution, affinity chromatography The results are examined and calculated by means of molecular structure purification, replication, mutagenesis, electrophoresis principle, magnetic bead separation, coding sequence measurement, etc.