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Unveiling hidden viral host protein interactions in COVID-19 for drug repurposing

Ovanessians, Armand
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2023-11
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Reuleaux 2023
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2023_Reuleaux_Armand_Ovanessians_pp44-50.pdf
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https://hdl.handle.net/11124/178547
 https://doi.org/10.25676/11124/178547
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Abstract
In the absence of effective antiviral drugs for the treatment of COVID-19, we designed a novel k-partite graph learning method for data matrix completion to uncover hidden viral-host interactions and drug-target interactions. Our framework produces a holistic map of the pathogenesis of COVID-19 and unveils novel FDA approved drug candidates for COVID-19.
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Creative Commons CC-BY License or the Creative Commons CC-BY-NC License.
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