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At BioCAS: Modeling Biochemical Reactions and Gene Networks with Memristors
Hanna Abo Hanna , Loai Danial , Shahar Kvatinsky and Ramez Daniel wiill present Modeling Biochemical Reactions and Gene Networks with Memristors at the 13th IEEE BioCAS, to be held on October 19-21 in Turin, Italy.
Abstract— This paper investigates qualitative and quantitative analogies between biochemical reactions and memristive devices. It shows that memristors can mimic biochemical reactions and gene networks efficiently, and capture both deterministic and stochastic dynamics at the nanoscale level. We present different abstraction models and memristor-based circuits that inherently model the activity of genetic circuits with low signal-to-noise ratio (SNR). These findings constitute a promising step towards noisetolerant and energy-efficient electronic circuit design, which can provide a fast and simple emulative framework for large-scale synthetic molecular system design in cell biology.