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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Cited by in corpus (15)

• Enzyme-Based Logic: OR Gate with Double-Sigmoid Filter Response
• Enzyme-Based Logic Analysis of Biomarkers at Physiological Concentrations: AND Gate with Double-Sigmoid "Filter" Response
• Networked Enzymatic Logic Gates with Filtering: New Theoretical Modeling Expressions and Their Experimental Application
• Biomolecular Filters for Improved Separation of Output Signals in Enzyme Logic Systems Applied to Biomedical Analysis
• Enzymatic AND Logic Gate with Sigmoid Response Induced by Photochemically Controlled Oxidation of the Output
• Towards Biochemical Filter with Sigmoidal Response to pH Changes: Buffered Biocatalytic Signal Transduction
• Realization and Properties of Biochemical-Computing Biocatalytic XOR Gate Based on Enzyme Inhibition by a Substrate
• Bioinspired Associative Memory System Based on Enzymatic Cascades
• Kinetic Model for a Threshold Filter in an Enzymatic System for Bioanalytical and Biocomputing Applications
• Design of Digital Response in Enzyme-Based Bioanalytical Systems for Information Processing Applications
• 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?
• Modeling and Modifying Response of Biochemical Processes for Biocomputing and Biosensing Signal Processing
• Theoretical Modeling Expressions for Networked Enzymatic Signal Processing Steps as Logic Gates Optimized by Filtering
• Two-Input Enzymatic Logic Gates Made Sigmoid by Modifications of the Biocatalytic Reaction Cascades