%0 Electronic Article
%A Tapatosh Sadhu
%A Biplab Das
%A Debashis De
%A Jadav Chandra Das
%K intracellular signalling events
%K half binary subtractors
%K actin quantum cellular automata
%K binary subtractor
%K binary bits
%K reliability
%K Simulink
%K actin filaments
%K nanoscale biomolecular networks
%K design approaches
%K optimised results
%K full binary subtractors
%K circuit size
%K cellular structure
%K unconventional computing
%K logic subtractor circuits
%K fault-tolerance check
%K biological protein
%K logic design
%K circuit efficiency
%K cost-effective biomolecular networks
%K single automata block
%K cytoskeletal signalling events
%X Actin is a biological protein that provides support to the cellular structure and plays a crucial role in cytoskeletal and intra-cellular signalling events. Logic circuits can be designed with actin filaments with the help of actin quantum automata. The authors use a rule (4,27) to implement some novel designs of logic subtractor circuits on this automata to achieve the difference in two binary bits. Logic design of both half and full binary subtractors is proposed in this study. Actin-based quantum cellular automata can be used in different combinations of input to get optimised results from the circuits. The authors focus on consolidating the designs inside single automata block to generate output in a less number of timesteps and less overheads. The designs are simulated with Simulink and this way output is verified for these different design approaches. Reliability and fault-tolerance check is another interesting part of this study. To get a better idea of the optimisation achieved, the authors have also presented a comparative study between the proposed designs in terms of circuit size and efficiency. With all these parameters involved, this study explores opportunities for future implementation of unconventional computing in nano-scale and cost-effective bio-molecular networks.
%@ 1751-8741
%T Design of binary subtractor using actin quantum cellular automata
%B IET Nanobiotechnology
%D February 2018
%V 12
%N 1
%P 32-39
%I Institution of Engineering and Technology
%U https://digital-library.theiet.org/;jsessionid=1pa8rpn4f4rt5.x-iet-live-01content/journals/10.1049/iet-nbt.2017.0149
%G EN