Codon Sentience: A Biophysical and Energetic Model for Codon Mutation and Immune Receptor Prediction

This study proposes a thermodynamic model of codon mutation based on energetic balance and physical resonance, enabling immune receptor prediction to solve longstanding biomedical challenges—especially in cancer, autoimmune, infectious, and age-related diseases. The framework integrates codon polarity, ATP hydrolysis, and Gibbs free energy in predicting immune receptor sequences. Our team will also investigate connections with the SIRT6 gene, a major regulator in aging, and how codon-level energy shifts may influence senescence and immune suppression. BLAST confirms productive V(D)J recombination and the presence of CDR3 regions (E-value = 8e-06). NetMHC predictions validate immunogenic visibility via high-affinity MHC-peptide interactions. All results are consistent with fundamental physical laws.