Open AccessStochastic Modeling of the Mechanism in Virus Growth of Cells in HIV Infected Person
Author(s) -
S. Saranya,
G. Meenakshi
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9470.109119
Subject(s) - virus , internalization , virology , biology , mechanism (biology) , rna , genome , extracellular , viral replication , cell , microbiology and biotechnology , genetics , gene , physics , quantum mechanics
The overall time required for a virus to reproduce depends collectively on the rates of multiple stages in the infection process, including initial binding of the virus particle to the surface of the cells, virus internalization and release of the virus genome, association of descendent virus particles, and release of these particles into the extracellular atmosphere. For a large number of virus type, much has been learned about the molecular, RNA or protein expression genome replication rates of the various stage. However, an attempt is been made using stochastic modeling to the overall timing and productivity of the infection stage in a cell. The numerical result to predict the probability of infection given the communication of the virus to a new individual.