
doi: 10.3390/math10030375
In this paper, we set up a stochastic model for the dynamics of active Rab5 and Rab7 proteins on the surface of endosomes and the acidification process that govern the virus–endosome fusion and endosomal escape of pH-responsive nanoparticles. We employ a well-known cut-off switch model for Rab5 to Rab7 conversion dynamics and consider two random terms: white Gaussian and Poisson noises with zero mean. We derive the governing equations for the joint probability density function for the endosomal pH, Rab5 and Rab7 proteins. We obtain numerically the marginal density describing random fluctuations of endosomal pH. We calculate the probability of having a pH level inside the endosome below a critical threshold and therefore the percentage of viruses and pH-responsive nanoparticles escaping endosomes. Our results are in good qualitative agreement with experimental data on viral escape.
pH-responsive nanoparticles, VIRUSES, STOCHASTIC ODE’S, endosomal escape, VIRUS–ENDOSOME FUSION, ENDOSOMAL ESCAPE, PH-RESPONSIVE NANOPARTICLES, stochastic ODE’s; virus–endosome fusion; endosomal escape; viruses; pH-responsive nanoparticles, stochastic ODE’s, virus–endosome fusion, QA1-939, viruses, Mathematics
pH-responsive nanoparticles, VIRUSES, STOCHASTIC ODE’S, endosomal escape, VIRUS–ENDOSOME FUSION, ENDOSOMAL ESCAPE, PH-RESPONSIVE NANOPARTICLES, stochastic ODE’s; virus–endosome fusion; endosomal escape; viruses; pH-responsive nanoparticles, stochastic ODE’s, virus–endosome fusion, QA1-939, viruses, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
