Abstract
DNA strand displacement provides an effective approach to construct complex nano logic circuits. In this work, a blood group pairing logic circuit with DNA materials is designed to complete the function of blood group pairing. First, threshold gate, amplifier gate, fan-out gate and report gate are constructed on the basis of the reaction mechanism of DNA strand displacement, and then the basic computing modules of logic AND and OR are formed. In order to make any digital logic circuit translate into a dual-rail digital circuit with dual-rail strategy conveniently, the universal math model of a dual-rail digital circuit is proposed. Next, with fluorescence labeling technology, the dual-rail digital circuit of blood group pairing is converted into the DNA biochemical logic circuit consisting of fan-out gates, report gates, logic AND and OR gates. The simulation results are obtained by Visual DSD, which shows that the proposed DNA-circuit is stable, effective, and highly sensitive for blood type signals. The method of constructing blood group pairing nano logic circuit proposed in this paper also greatly reduces the difficulty of experimental operation compared with the DNA assembly technology for the same logic function, which can be applied to nano medicine diagnosis and large scale nano logical circuits in the future.
This work was supported in part by the National Key Research and Development Program of China (2016YFB0800100), in part by the National Key Research and Development Program of China for International S and T Cooperation Projects (2017YFE0103900), in part by the Joint Funds of the National Natural Science Foundation of China (U1804262), in part by the Science and Technology Project of Henan Province (202102310202), in part by the Youth Talent Lifting Project of Henan Province (2018HYTP016), and in part by Zhongyuan Thousand Talents Program (204200510003).
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Huang, C., Wang, Y., Zhou, Q. (2021). Design of Blood Group Pairing Logic Circuit Based on DNA Strand Displacement. In: Pan, L., Pang, S., Song, T., Gong, F. (eds) Bio-Inspired Computing: Theories and Applications. BIC-TA 2020. Communications in Computer and Information Science, vol 1363. Springer, Singapore. https://doi.org/10.1007/978-981-16-1354-8_35
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DOI: https://doi.org/10.1007/978-981-16-1354-8_35
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