Central Dogma Cycle and Network: A Model for Cell Memory

This paper proposes an extension of the traditional Central Dogma of molecular biology to a more dynamic model termed the Central Dogma cycle (CDC) and a broader network called the Central Dogma cyclic network (CDCN). While the Central Dogma is necessary for genetic information flow, it is insufficient to fully explain cellular memory, decision-making, and information management. The CDC incorporates additional well-established steps such as protein folding and networking, highlighting the cyclical nature of biological information flow. I propose that this cyclic architecture functions as a key mechanism for cellular memory, drawing analogies to memory functions in computers, such as input, read, write, execute, and erase. Within the CDCN, interconnected metabolic and signaling pathways act as logic-enabled processors that bridge DNA mutations to phenotypes. This model reframes heredity beyond nucleic acid sequences and evolution as the optimization of memory-bearing networks. It is extensible to broader biological systems such as physiological feedback loops. Understanding cellular memory through this cyclic network model offers a unified perspective on heredity, adaptation to the environment, cell processes, and the disruptions of information flow in disease pathology.