Homologous and Non-Homologous DNA Repair as a Paradigm for Distorted Information Recovery in DNA Computing with Encryption for Artificial Intelligence Integration

DNA repair pathways, notably homologous recombination (HR) and non-homologous end joining (NHEJ), represent foundational biological mechanisms that correct errors and maintain genomic fidelity. In this study, we propose a theoretical model where these natural repair strategies are mapped onto information correction protocols within DNA-based computing systems. We examine how these biological analogues can be interpreted as encryption-decryption processes, with potential to facilitate secure and fault-tolerant artificial intelligence (AI) systems. We demonstrate how the dual mechanisms of HR and NHEJ mirror different cryptographic recovery strategies, one leveraging redundancy and alignment (HR) and the other, rapid closure with minimal information (NHEJ). We propose novel encryption routines using DNA sequence homology, and evaluate applications in AI-driven decision-making systems. Our work provides a bridge between molecular biology and information theory, laying the groundwork for biologically-inspired quantum cryptographic machines.