Technological advances in fields such as computer modelling and simulation are playing a fundamental role, during the COVID-19 pandemic, that has been afflicting us for 2 years now. These methodologies may help in the development, assessment and monitoring for better prevention, diagnosis, treatment and generation of specific therapeutic strategies. In this perspective, in silico platforms are emerging thanks to their ability to predict the efficacy and safety of new therapies and vaccines. Here, our integrated bioinformatics pipeline for evaluating the elicited response of human immune system against every pathogen is applied to predict the cross-reactive immunity induced by pre-existing vaccinations against SARS-CoV-2 UK variants.

A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant

Maleki A.;Russo G.;Sgroi G.;Pappalardo F.
2021

Abstract

Technological advances in fields such as computer modelling and simulation are playing a fundamental role, during the COVID-19 pandemic, that has been afflicting us for 2 years now. These methodologies may help in the development, assessment and monitoring for better prevention, diagnosis, treatment and generation of specific therapeutic strategies. In this perspective, in silico platforms are emerging thanks to their ability to predict the efficacy and safety of new therapies and vaccines. Here, our integrated bioinformatics pipeline for evaluating the elicited response of human immune system against every pathogen is applied to predict the cross-reactive immunity induced by pre-existing vaccinations against SARS-CoV-2 UK variants.
978-1-6654-0126-5
in silico trial
multi-scale approach
multi-step algorithm
SARS-CoV-2
vaccine
variants
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11769/524162
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