Fingerprint-Based Machine Learning for SARS-CoV-2 and MERS-CoV Mpro Inhibition: Highlighting the Potential of Bayesian Neural Networks.

J Chem Inf Model · 2025 · PMC12728926 · PMID 41368857

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a clear trendno p-value reported

Examining the distribution of predictions ( Figure A,B), the SARS-CoV-2 M pro validation set displays a clear trend and a well-spread distribution across predicted activities, whereas the MERS-CoV M pro predictions are clustered tightly between 4.5 and 6.

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.

Fingerprint-Based Machine Learning for SARS-CoV-2 and MERS-CoV &lt;i&gt;M&lt;/i&gt;&lt;sup&gt;&lt;i&gt;pro&lt;/i&gt;&lt;/sup&gt; Inhibition: Highlighting the Potential of Bayesian Neural Networks.

The sentences

Fingerprint-Based Machine Learning for SARS-CoV-2 and MERS-CoV <i>M</i><sup><i>pro</i></sup> Inhibition: Highlighting the Potential of Bayesian Neural Networks.