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Machine learning-based framework for predicting human infection potential of coronavirus associated with tri-Amino acid motifs, KIQ and LEP in spike protein

2026-02-16

Abstract excerpt

Assessing the human infection potential of emerging coronaviruses remains a critical challenge for global health preparedness. In this study, we developed a machine learning-based framework to predict the human infection potential of coronaviruses and to identify associated sequence motifs using spike (S) protein sequences. A total of 3,904 complete S protein sequences were collected, annotated as human or non-hum...

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Literature Corpus work
3bd38e66-62f7-5c48-acb6-563647859eb6
DOI
10.64898/2026.02.02.703238
Open publication

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Machine learning-based framework for predicting human infection potential of coronavirus associated with tri-Amino acid motifs, KIQ and LEP in spike proteinDOI 10.64898/2026.02.02.703238
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