Deciphering DNA as a Recognition-Based System

Recognition Physics (RP) unifies physics and mathematics under the single axiom, “Observation alters reality,” providing a parameter- free framework to explore fundamental phenomena. In this paper, we apply RP to decipher DNA as a recognition-based system, predicting gene expression outcomes, modeling its room-temperature quantum coherence, and establishing a bridge between biological function and physical principles. Through a tailored Lagrangian density, a self- adjoint operator, and a DNA-specific recognition transform, we de- rive key constants—coherence energy (Ecoh = 0.091 eV), base pairing energy (Ebp = 11.3 kJ/mol), expression rate (Rexp = 50 bases/s), and stability scale (XDNA = 13.6 ˚A)—without empirical inputs. This work not only demonstrates RP’s versatility beyond physics and mathemat- ics but also opens new theoretical pathways for quantum biology and genetic prediction, redefining DNA as an emergent outcome of univer- sal recognition processes.