HOMOLOGY BASED COMPUTATIONAL MODELLING OF HEPATITIS-E VIRAL FUSION CAPSID PROTEIN

In the current study computational modelling is used to predict the optimal positions in the capsid protein of the Hepatitis-E virus where a short sequence from Influenza A matrix protein can be inserted without disrupting the formation of the capsid. We use a custom-written script to generate all possible sequences containing the insert and then predict their structure with homology modelling software. The models of the fusion proteins are then compared to the model of the native protein using structural alignment. Thus, an optimal place for the insertion where the structure of the native protein is best preserved, can be predicted.