Designing Lab Prototype of Synthetic p53 Protein-Based Tumor Suppressor Pathway

This paper presents an emerging approach to cy-tomorphic engineering by designing a synthetic model of the essential biochemical reactions involved in a cell. The primary biochemical reactions like production, degradation, association, and dissociation are equivalently realized in the low-power electronics domain by exploiting cytomorphic mapping. This modeling concept is tested successfully on sample pathways p53 normal signaling and a p53 damaged ARF network. The FPGA Xilinx environment is used to realize the synthetic model and is implemented in hardware on the Zynq-7000 FPGA board. The models' responses are also validated using cell culture data available from existing literature. Here, the hardware implementation of the pathways consumes 310 mW of power and utilizes minimal resources.