MicroRNA Memory II: A Novel Scoring Integration Model for Prediction of Human Disease by MicroRNA/MicroRNA Quantum Multi-Interaction

Abstract

Aims: To further investigate quantum characters of the microRNA (miRNA) gene as the disease memory device, we calculated neo-score tool for miRNA/miRNA multi-interaction. Since the potential miRNA/target interaction is not one-to-one correspondence; therefore, the network of miRNA/mRNA is too busy to achieve the goal of prognosis and diagnose human disease. Methodology: Neo-score tool based on quantum and electrodynamics for miRNA/miRNA multi-interaction, which are Dynamic Nexus Score (DNS) and Electric Field Tangent score (EFTS) is compare with Context+ Score Change (CSC) on PolymiRTS database, an integrated platform of the functional impact of genetic polymorphisms in miRNA seed regions and miRNA target sites within 149 human disease. Results: The DNS was correlated with CSC. Since the EFTS was mathematically functioned into the DNS, the function of the DNS to the EFTS was integrated together disease prediction on CSC.  Further, a possibility was suggested in this context that miRNA/miRNA multi-interaction on the algorithmic function could be applied for specific discernment of disease without miRNA/target interaction complex. Conclusion: MiRNA/miRNA multi-interaction may have an important role for prognostic and diagnostic technologies for human health. This is the first report demonstrating that miRNA memory would manage the etiologies of human diseases.