Artificial Intelligence and Electrical & Electronics Engineering: AIEEE Open Access
The Centromere as an Information Control Nexus: A Model for Artificial Intelligence Concentration in DNA Computing with Encrypted Logic
Abstract
Chur Chin
Centromeres are essential chromosomal domains that govern kinetochore formation, mitotic fidelity, and epigenetic memory across cell divisions. In this paper, we propose a novel theoretical model in which the centromere acts as an abstracted control node within DNA computing, mirroring centralized encryption and AI orchestration. By drawing parallels between centromere function during the cell cycle and information regulation in encrypted logic systems, we argue that centromeres represent a naturally evolved cryptographic checkpoint that can inspire biologically grounded AI architectures. We analyze how centromeric cohesion, chromatin state, and replication timing correlate to secure memory allocation, fault detection, and self-correcting computation. This work introduces a new dimension to biologically inspired computing, where central genomic regulators serve as information concentrators, encoding AI logic and self- repair capacity into DNA-based systems.