The first realization of a designed, rather than natural, biochemical filter process is reported and analyzed as a promising network component for increasing the complexity of biomolecular logic systems. Key challenge in biochemical logic research has been achieving scalability for complex network designs. Various logic gates have been realized, but a "toolbox" of analog elements for interconnectivity and signal processing has remained elusive. Filters are important as network elements that allow control of noise in signal transmission and conversion. We report a versatile biochemical filtering mechanism designed to have sigmoidal response in combination with signal-conversion process. Horseradish peroxidase-catalyzed oxidation of chromogenic electron donor by H 2 O 2 , was altered by adding ascorbate, allowing to selectively suppress the output signal, modifying the response from convex to sigmoidal. A kinetic model was developed for evaluation of the quality of filtering. The results offer improved capabilities for design of scalable biomolecular information processing systems.Web-link to future updates of this article: www.clarkson.edu/Privman/231.pdf
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IntroductionBiochemical processes, 1-8 and more generally, chemical kinetics, [9][10][11][12][13][14][15] Presently, biochemical information processing systems are not intended as a replacement of Si devices, but rather aim at offering additional functionalities in situations where direct wiring to computers and power sources is not practical such as in many biomedical applications. [23][24][25] However, even for near-term applications, scalable and versatile networking paradigms are crucial. Recent studies suggest 8,58,59 that the level of noise in biochemical systems is quite high as compared to electronics. This includes noise both the input/output signals and in the "gate machinery" chemical (e.g., enzyme) concentrations. Avoiding noise amplification by appropriate network design is therefore quite important even for small networks, similar to recent findings 60 for networking of neurons. Present estimates 8,61 suggest that, not only analog but also digital error correction will be required for networks involving more than order 10 processing steps.-3 -Considerations of scalability and control of noise have set the stage for new challenges.Large-scale interconnectivity and fault-tolerance cannot be achieved without the development of a "toolbox" of new network elements including filters, signal splitters, signal balancers, resetting functions, etc. These analog network elements for biochemical computing might not follow too closely the device components of Si electronics. In fact, concepts borrowed from natural systems, specifically, memory involving processes 62 have recently received attention in unconventional information processing studies. However, as a rule none of the standard elements for networking for (ultimately, digital) information processing has been experimentally realized to date in a setting demonstrating interconnectivity ...