Building a mechanistic mathematical model of hepatitis C virus entry.
| dc.creator | Kalemera, Mphatso | |
| dc.creator | Mincheva, Dilyana | |
| dc.creator | Grove, Joe | |
| dc.creator | Illingworth, Christopher JR | |
| dc.date | 2019-03-05T00:30:56Z | |
| dc.date | 2019-03-05T00:30:56Z | |
| dc.date | 2019-03 | |
| dc.date.accessioned | 2026-08-03T01:41:16Z | |
| dc.description | The mechanism by which hepatitis C virus (HCV) gains entry into cells is a complex one, involving a broad range of host proteins. Entry is a critical phase of the viral lifecycle, and a potential target for therapeutic or vaccine-mediated intervention. However, the mechanics of HCV entry remain poorly understood. Here we describe a novel computational model of viral entry, encompassing the relationship between HCV and the key host receptors CD81 and SR-B1. We conduct experiments to thoroughly quantify the influence of an increase or decrease in receptor availability upon the extent of viral entry. We use these data to build and parameterise a mathematical model, which we then validate by further experiments. Our results are consistent with sequential HCV-receptor interactions, whereby initial interaction between the HCV E2 glycoprotein and SR-B1 facilitates the accumulation CD81 receptors, leading to viral entry. However, we also demonstrate that a small minority of viruses can achieve entry in the absence of SR-B1. Our model estimates the impact of the different obstacles that viruses must surmount to achieve entry; among virus particles attaching to the cell surface, around one third of viruses accumulate sufficient CD81 receptors, of which 4-8% then complete the subsequent steps to achieve productive infection. Furthermore, we make estimates of receptor stoichiometry; in excess of 10 receptors are likely to be required to achieve viral entry. Our model provides a tool to investigate the entry characteristics of HCV variants and outlines a framework for future quantitative studies of the multi-receptor dynamics of HCV entry. | |
| dc.description | Wellcome, Royal Society, Newton Trust | |
| dc.format | Electronic-eCollection | |
| dc.format | application/vnd.openxmlformats-officedocument.wordprocessingml.document | |
| dc.format | application/pdf | |
| dc.identifier | 1553-734X | |
| dc.identifier | https://www.repository.cam.ac.uk/handle/1810/290178 | |
| dc.identifier | 10.17863/CAM.37406 | |
| dc.identifier | 1553-7358 | |
| dc.identifier.uri | https://repo.dare.co.zw/handle/123456789/157869 | |
| dc.language | eng | |
| dc.language | eng | |
| dc.publisher | Public Library of Science (PLoS) | |
| dc.publisher | https://doi.org/10.1371/journal.pcbi.1006905 | |
| dc.subject | Cell Line, Tumor | |
| dc.subject | Computational Biology | |
| dc.subject | Hepacivirus | |
| dc.subject | Hepatitis C | |
| dc.subject | Host-Pathogen Interactions | |
| dc.subject | Humans | |
| dc.subject | Models, Molecular | |
| dc.subject | Receptors, Virus | |
| dc.subject | Virus Internalization | |
| dc.title | Building a mechanistic mathematical model of hepatitis C virus entry. | |
| dc.type | Article |