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Novel in silico tool for studying autoimmune diseases related to COVID-19

2022
Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
The development of autoimmune diseases following SARS-CoV-2 infection, including multisystem inflammatory syndrome, has been reported, and several mechanisms have been suggested, including molecular mimicry. The researchers developed a scalable, comparative immunoinformatics pipeline called cross-reactive-epitope-search-using-structural-properties-of-proteins (CRESSP) to identify cross-reactive epitopes between a collection of SARS-CoV-2 proteomes and the human proteome using the structural properties of the proteins. They identified 133 and 648 human proteins harbouring potential cross-reactive B-cell and CD8+ T-cell epitopes, respectively. To demonstrate the robustness of the pipeline, the authors predicted the cross-reactive epitopes of coronavirus spike proteins, which were recognized by known cross-neutralizing antibodies. Finally, they developed a web application (https://ahs2202.github.io/3M/) to interactively visualize these results and made the pipeline available as an open-source CRESSP package (https://pypi.org/project/cressp/), which can analyse any two proteomes of interest to identify potentially cross-reactive epitopes between the proteomes. Overall, these immunoinformatic resources provide a foundation for the investigation of molecular mimicry in the pathogenesis of autoimmune and chronic inflammatory diseases following COVID-19.
CRESSP: a comprehensive pipeline for prediction of immunopathogenic SARS-CoV-2 epitopes using structural properties of proteins
Jihwan Park
#1550
Added on: 09-08-2022
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