Biology – Quantitative Biology – Molecular Networks
Scientific paper
2008-03-31
J. Phys. Chem. B 112, 11777-11784 (2008)
Biology
Quantitative Biology
Molecular Networks
Scientific paper
10.1021/jp802673q
We report an experimental evaluation of the "input-output surface" for a biochemical AND gate. The obtained data are modeled within the rate-equation approach, with the aim to map out the gate function and cast it in the language of logic variables appropriate for analysis of Boolean logic for scalability. In order to minimize "analog" noise, we consider a theoretical approach for determining an optimal set for the process parameters to minimize "analog" noise amplification for gate concatenation. We establish that under optimized conditions, presently studied biochemical gates can be concatenated for up to order 10 processing steps. Beyond that, new paradigms for avoiding noise build-up will have to be developed. We offer a general discussion of the ideas and possible future challenges for both experimental and theoretical research for advancing scalable biochemical computing.
Katz Eric
Pita Marcos
Privman Vladimir
Solenov Dmitry
Strack Guinevere
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