Detection of Spike Protein Mutation in SARS-CoV-2 Variants of Concern with Support Vector Classification over (d,r,p)-Layer Coordinate System
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Abstract
Quantitative measurement of the quantum genotype of mutated amino acids in the S protein on different variants of SARS-CoV-2 was performed with Chern-Simons current. The Chern-Simons current in our proposed novel approach was used to plot the curvature of S protein folding based on mirror symmetry and add more extra properties of central dogma in biology. The Yang-Mills field in genetic code is an induced curl operator of parallel transport of unified field between hydrogen bonding between 3 types of biomolecules over the Lagrangian system in -layer coordinate system on a tangent of the four-dimensional manifold defined by the surface of behavior field in twisted torus spanned by four nitrogen bases of A, T, C, and G. The empirical analysis of quantum genotype of S protein between 17 January 2020 and 30 June 2021 was reported in the histogram with left shift. The prediction of the genetic variation in S protein of various variants of interest and variants of concern in SARS-CoV-2 were computed by using a machine learning algorithm based on support vector classification over the fitting parameter of the quantum genotype with good performance.
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