Abstract
Due to the multiple targets of microRNA (miRNA) and messenger RNA (mRNA) interactions and the complexity of protein/protein interactions, the predicted number of miRNAs/target mRNAs/proteins is numerous. To solve the multiple outcome problem in bioinformatics, quantum computing algorithms have been applied to miRNA function in human disease. Quantum computing polynomial acceleration is mathematically parallel to liner algebra because qubits can be cohered in superposing states. Its computational algorithm relies on the quantum Fourier transformation. Since miRNA qubits can be implemented in miRNA/miRNA interactions using by Single Nexus Score (SNS) and Double Nexus Score (DNS), miRNA qubit hierarchies can be used for miRNA/miRNA/protein network analysis as miRNA entangling target sorting (METS). In order to easily understand the METS/quantum miRNA language with artificial intelligence (MIRAI) processing, here we have prepared an Excel program for METS.
The search for truth begins with the doubt of all “truths” in which one has previously believed.—Nietzsche F
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References
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Fujii, Y.R. (2023). MicroRNA Quantum Computing. In: The MicroRNA Quantum Code Book. Springer, Singapore. https://doi.org/10.1007/978-981-19-8586-7_4
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DOI: https://doi.org/10.1007/978-981-19-8586-7_4
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