Control of Noise in Chemical and Biochemical Information Processing

Abstract

We review models and approaches for error-control in order to prevent the buildup of noise when gates for digital chemical and biomolecular computing based on (bio)chemical reaction processes are utilized to realize stable, scalable networks for information processing. Solvable rate-equation models illustrate several recently developed methodologies for gate-function optimization. We also survey future challenges and possible new research avenues.

39 pages, 8 figures, PDF

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• Enzymatic AND Logic Gates Operated Under Conditions Characteristic of Biomedical Applications
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Cited by in corpus (4)

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• Realization of Associative Memory in an Enzymatic Process: Towards Biomolecular Networks with Learning and Unlearning Functionalities
• Can bio-inspired information processing steps be realized as synthetic biochemical processes?