DNA logic programming: From concept to construction

DNA programming, which is based on the principle of base complementary pairing and Boolean operations, exhibits organizational structures and algorithms similar to those observed in machine language. Consequently, the practical implementation of DNA logic programming can be achieved through the utilization of programming techniques, enabling the discrimination and output generation. In recent years, DNA programming has witnessed a convergence with disciplines, such as life sciences, medicine, and other interdisciplinary areas, thereby giving rise to an advanced research system that yields valuable insights. This development has paved the way for multidisciplinary cutting-edge research. Furthermore, the successful transition from conceptualization to the practical implementation of DNA programming has been accomplished. This review summarizes the recent advances in DNA logic programming within the biomedical fields, specifically emphasizing the conceptualization and execution of DNA logic programming constructs. The benefits and obstacles associated with the adoption of DNA programming in cutting-edge research areas are also highlighted. DNA logic gates in the application domain of DNA nanostructures play a crucial role in discerning and quantifying the authenticity of events, thereby establishing self-driven control over event feedback. Building upon this foundation, DNA logic circuits, which integrate multiple independent DNA logic gates, enable autonomous assessment of complex events and facilitate synergistic feedback, ultimately leading to the generation of stable visual signal outputs. Consequently, DNA logic circuits hold significant potential for the development across various fields such as gene editing, drug delivery, medical diagnostics, and information storage.image

Automated summary

DNA programming, based on base complementary pairing and Boolean operations, has practical applications in multidisciplinary cutting-edge research. DNA logic circuits play a crucial role in biomedical fields, enabling autonomous assessment and stable visual signal outputs.