Please use this identifier to cite or link to this item:
http://elar.urfu.ru/handle/10995/112165
Title: | Stochastic Model of Virus–Endosome Fusion and Endosomal Escape of pH-Responsive Nanoparticles |
Authors: | Fedotov, S. Alexandrov, D. Starodumov, I. Korabel, N. |
Issue Date: | 2022 |
Publisher: | MDPI MDPI AG |
Citation: | Stochastic Model of Virus–Endosome Fusion and Endosomal Escape of pH-Responsive Nanoparticles / S. Fedotov, D. Alexandrov, I. Starodumov et al. // Mathematics. — 2022. — Vol. 10. — Iss. 3. — 375. |
Abstract: | 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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. |
Keywords: | ENDOSOMAL ESCAPE PH-RESPONSIVE NANOPARTICLES STOCHASTIC ODE’S VIRUSES VIRUS–ENDOSOME FUSION |
URI: | http://elar.urfu.ru/handle/10995/112165 |
Access: | info:eu-repo/semantics/openAccess |
SCOPUS ID: | 85123541545 |
WOS ID: | 000760568800001 |
PURE ID: | 29560047 |
ISSN: | 2227-7390 |
DOI: | 10.3390/math10030375 |
metadata.dc.description.sponsorship: | Funding: S.F. and N.K. were funded by EPSRC Grant No. EP/V008641/1. D.A. and I.S. were funded by the Ministry of Science and Higher Education of the Russian Federation (Project No. 075-15-2021-1002). |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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