A fast quantum mechanical algorithm for database search
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
SIAM Journal on Computing
Cellular computation and communications using engineered genetic regulatory networks
Cellular computation and communications using engineered genetic regulatory networks
Nanotechnology: a gentle introduction to the next big idea
Nanotechnology: a gentle introduction to the next big idea
The Physics of Quantum Information: Quantum Cryptography, Quantum Teleportation, Quantum Computation
The Physics of Quantum Information: Quantum Cryptography, Quantum Teleportation, Quantum Computation
Computer-aided design in synthetic biology: a system designer approach
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
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Today most VLSI circuits are built in silicon using CMOS transistors. Developments in design automation and process fabrication have resulted in the progressive increase of the number of transistors per chip and decrease in the size of the transistors. But transistor designers are fast approaching fundamental physical barriers to further size reduction. Thus engineers are looking at alternate technologies such as nano-devices and bio-circuits for next-generation circuits. In our research, we concentrate on the development of bio-circuits and their applications. Our eventual goal is the design and simulation of complete systems integrating bio-circuits and VLSI technology appropriately. Bio-circuits are circuits developed in vivo or in vitro, using DNA and proteins. A biological process such as glycolysis or bioluminescence can be viewed as a genetic regulatory circuit, a complex set of bio-chemical reactions regulating the behavior of genes, operons, DNA, RNA, and proteins. Similar to voltage in an electrical circuit, a genetic regulatory circuit produces an output protein in response to an input stimulus. We can engineer bio-circuits to meet design specifications, using genetic engineering. Our aim is to build a library of in vitro bio-circuits representing the Boolean functions. The bio-circuits from this library can be further cascaded to form larger circuits. In this paper, we review the feasibility of building bio-circuits. We discuss the construction of Boolean logic gates such as NOT, AND, and OR and their verification by simulation. We also address important aspects such as cascading of the bio-circuits and practical implementation. In addition, we describe an algorithm "Box" that can help to control bio-circuit characteristics such as gain and switching behavior. This approach is similar to design space exploration in traditional VLSI, but takes into account biological knowledge obtained through experiments. We also provide insight into the robustness of bio-circuits in the presence of noise. This paper is intended to pave the pathway for electrical engineers to start exploring the field of bio-circuits.