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Article

Rapid <i>in silico</i> design of antibodies targeting SARS-CoV-2 using machine learning and supercomputing

2020-04-10

Abstract excerpt

<h4>Summary</h4> Rapidly responding to novel pathogens, such as SARS-CoV-2, represents an extremely challenging and complex endeavor. Numerous promising therapeutic and vaccine research efforts to mitigate the catastrophic effects of COVID-19 pandemic are underway, yet an efficacious countermeasure is still not available. To support these global research efforts, we have used a novel computational pipeline combin...

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Identifiers and source

Literature Corpus work
4124bf38-f537-56ef-9978-19b6e7efa072
DOI
10.1101/2020.04.03.024885
Open publication

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Rapid <i>in silico</i> design of antibodies targeting SARS-CoV-2 using machine learning and supercomputingDOI 10.1101/2020.04.03.024885
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