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Computational modelling of viral proteins for improved prediction of virus-host pairs


   School of Pharmacy

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  Dr T Skvortsov  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

This is a challenging but exciting opportunity for a motivated PhD candidate to contribute to the development and evaluation of novel approaches for host-virus (incl. phages) prediction. Quick and reliable methods of viral proteins modelling and identification of their potential targets are required to obtain better mechanistic understanding of the receptor recognition and binding processes associated with virus infection and therefore would be of significant benefit to studies of viral biology, ecology and evolution and treatment development. Several methods of viral host prediction have been proposed and developed over years, but the majority of them are based on the use of genomic information. With the recent advancements in protein structure prediction tools (e.g. Alphafold 2), it is becoming possible to incorporate structural information into the algorithms for prediction of host-virus pairs.

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