Predicting Viral and Human Variants Affecting COVID-19 Susceptibility and Severity and Repurposing Therapeutics

Christine Orengo (primary)
Structural and Molecular Biology
University College London
Franca Fraternali (secondary)
Randall Centre for Cell and Molecular Biophysics
Kings College London

Abstract

SARS-CoV-2 has caused a pandemic resulting in millions of deaths worldwide. Vaccine results are encouraging but need to be adjusted for variants, and therapeutics will be needed for some time. This project will analyse variations in SARS-CoV-2 proteins, affecting viral transmissibility and infectivity. It will also analyse variants in human proteins, interacting with viral proteins, to identify human populations (different genders/ethnicities) which are more susceptible. It benefits from in-house computational platforms that predict impacts of variations in proteins associated with cancer. The aim is to understand how variants affect disease severity and identify proteins that can be targeted by drugs.


References

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BBSRC Area
Molecules, cells and industrial biotechnology
Area of Biology
EvolutionStructural Biology
Techniques & Approaches
BioinformaticsBiophysicsMathematics / StatisticsSimulation / Modelling