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Network machine learning maps phytochemically-rich “Hyperfoods” to fight COVID-19

2020-12-01

Abstract excerpt

<title>Abstract</title> <p>In this paper, we introduce a network machine learning method to identify potential bioactive anti-COVID-19 molecules in foods based on their capacity to target the SARS-CoV-2-host gene-gene (protein-protein) interactome. Our experiments were run using a supercomputing DreamLab App platform, harnessing the idle computational power of thousands of smartphones. Machine learning models wer...

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Identifiers and source

Literature Corpus work
ea45883e-5d4c-5f9e-bf71-c281c591e929
DOI
10.21203/rs.3.rs-113421/v1
Open publication

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Network machine learning maps phytochemically-rich “Hyperfoods” to fight COVID-19DOI 10.21203/rs.3.rs-113421/v1
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