Quantum-Mechanical Basis for Genomic Mutation Pathways: Comparative Analysis of Human and Bat Enzyme Motifs in SARS-CoV-2 Spike Emergence

Conventional viral emergence models emphasize spillover or lab recombination but rarely consider quantum-biophysical influences on mutation. Building on prior work linking electron capture to viral motifs (Matsuki et al., 2022), this study develops a quantum model to quantify mutation potential in tetrapeptides from mammalian liver enzymes. Bat motifs (EIDR, IQKE) show higher electron-capture susceptibility than human motifs (EETG). Simulations of catalytic, electromagnetic, and thermal perturbations reveal selective amplification of mutation-prone sites under bat physiological conditions. Extended motifs (EETGICVV, KQGNKQGN) display chemical architectures favoring resonance-driven rearrangements, suggesting structural pathways from host proteins to viral spike domains. Integrating quantum modeling, comparative proteomics, and structural chemistry, this work proposes mechanistic routes for viral motif evolution and provides a framework for assessing zoonotic risk.

Keywords: Quantum biology; Electron capture; Viral evolution; SARS-CoV-2; Bat liver enzymes