@Article{JICS-12-304, author = {SiqingGanand Heng Sun}, title = {Probability Computation of Molecular Matrices}, journal = {Journal of Information and Computing Science}, year = {2017}, volume = {12}, number = {4}, pages = {304--311}, abstract = { We  propose  an  automatic,  programmable  and  computational  model  consisting  of biomolecules[1-5] by transforming a base pair into a one-dimensional matrix containing only 0,1, using the matrix  length  as  the  sample  space,  representing  the  event  The  sample  point  takes  the  percentage  of  the sample space as the percentage of the sample space as the probability of the event, and details the probability calculation  problem  into  the  model  of  the  molecular  calculation  problem.  After  the  introduction  of  the molecular  matrix  calculation  probability  method,  the  examples  are  given  to  illustrate  the  realization  of  the complex event molecular matrix calculation probability. In order to verify the feasibility and complexity of calculating  the  probability  problem  of  the  molecular  matrix,  we  use  the  manual  calculation  probability  to compare  with  the  results  of  the  DNA  chain  to  predict  the  DNA  secondary  structure  and  its  interaction through NUPACK[6] software. }, issn = {3080-180X}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22473.html} }