Probability Computation of Molecular Matrices

Abstract

We \u00a0propose \u00a0an \u00a0automatic, \u00a0programmable \u00a0and \u00a0computational \u00a0model \u00a0consisting \u00a0of biomolecules[1-5] by transforming a base pair into a one-dimensional matrix containing only 0,1, using the matrix \u00a0length \u00a0as \u00a0the \u00a0sample \u00a0space, \u00a0representing \u00a0the \u00a0event \u00a0The \u00a0sample \u00a0point \u00a0takes \u00a0the \u00a0percentage \u00a0of \u00a0the sample space as the percentage of the sample space as the probability of the event, and details the probability calculation \u00a0problem \u00a0into \u00a0the \u00a0model \u00a0of \u00a0the \u00a0molecular \u00a0calculation \u00a0problem. \u00a0After \u00a0the \u00a0introduction \u00a0of \u00a0the molecular \u00a0matrix \u00a0calculation \u00a0probability \u00a0method, \u00a0the \u00a0examples \u00a0are \u00a0given \u00a0to \u00a0illustrate \u00a0the \u00a0realization \u00a0of \u00a0the complex event molecular matrix calculation probability. In order to verify the feasibility and complexity of calculating \u00a0the \u00a0probability \u00a0problem \u00a0of \u00a0the \u00a0molecular \u00a0matrix, \u00a0we \u00a0use \u00a0the \u00a0manual \u00a0calculation \u00a0probability \u00a0to compare \u00a0with \u00a0the \u00a0results \u00a0of \u00a0the \u00a0DNA \u00a0chain \u00a0to \u00a0predict \u00a0the \u00a0DNA \u00a0secondary \u00a0structure \u00a0and \u00a0its \u00a0interaction through NUPACK[6] software.