A network approach for the identification of co-evolving mutations in Hepatitis C Virus (HCV) in the context of immune escape against neutralising antibody responses.
<p>Using network theory to identify co-evolving mutations that potentially provide survival advantage for the HCV population inside their host. This predictive analysis utilises mutual information to inform what location of the virus genome is important for the virus's survivability as well as provide insight on the potential strategic pathway that HCV, as a rapidly mutating virus, may adopt in order to escape the host immune response. This poster focuses on neutralising antibodies, which target the structural protein region of HCV.</p
