Cells use various RNA （Ribonucleic Acid） regulatory mechanisms in order to temporally and coordinately influence the rate of protein synthesis. A deeper understanding of the dynamics of RNA regulation can ultimately...Cells use various RNA （Ribonucleic Acid） regulatory mechanisms in order to temporally and coordinately influence the rate of protein synthesis. A deeper understanding of the dynamics of RNA regulation can ultimately bridge the gap between transcriptional control and protein expression. The nonlinear process of RNA-Protein Interaction （RIP）, which can be viewed as the RNA analog of the better-known chromatin immunoprecipitation application （CHIP） plays a crucial role in post-transcriptional regulation of gene expression. While ChIP identifies DNA （Deoxyribonucleic Acid） targets of DNA-binding proteins in their cellular context, RIP can be used to identify specific RNA molecules associated with specific nuclear or cytoplasmic RNA-binding proteins. In this paper, a stochastic model in BioAmbients calculus for the protein synthesis and activation through RIP process is presemed.展开更多
文摘Cells use various RNA （Ribonucleic Acid） regulatory mechanisms in order to temporally and coordinately influence the rate of protein synthesis. A deeper understanding of the dynamics of RNA regulation can ultimately bridge the gap between transcriptional control and protein expression. The nonlinear process of RNA-Protein Interaction （RIP）, which can be viewed as the RNA analog of the better-known chromatin immunoprecipitation application （CHIP） plays a crucial role in post-transcriptional regulation of gene expression. While ChIP identifies DNA （Deoxyribonucleic Acid） targets of DNA-binding proteins in their cellular context, RIP can be used to identify specific RNA molecules associated with specific nuclear or cytoplasmic RNA-binding proteins. In this paper, a stochastic model in BioAmbients calculus for the protein synthesis and activation through RIP process is presemed.
