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We report an experimental evaluation of the "input-output surface" for abiochemical AND gate. The obtained data are modeled within the rate-equationapproach, with the aim to map out the gate function and cast it in the languageof logic variables appropriate for analysis of Boolean logic for scalability.In order to minimize "analog" noise, we consider a theoretical approach fordetermining an optimal set for the process parameters to minimize "analog"noise amplification for gate concatenation. We establish that under optimizedconditions, presently studied biochemical gates can be concatenated for up toorder 10 processing steps. Beyond that, new paradigms for avoiding noisebuild-up will have to be developed. We offer a general discussion of the ideasand possible future challenges for both experimental and theoretical researchfor advancing scalable biochemical computing.

Optimization of Enzymatic Biochemical Logic for Noise Reduction and Scalability: How Many Biocomputing Gates Can Be Interconnected in a Circuit?