Article

Machine Learning for the Identification of Viral Attachment Machinery from Respiratory Virus Sequences

2022-01-27

Abstract excerpt

At the outset of an emergent viral respiratory pandemic, sequence data is among the first molecular information available. As viral attachment machinery is a key target for therapeutic and prophylactic interventions, rapid identification of viral “spike” proteins from sequence can significantly accelerate the development of medical countermeasures. For five families of respiratory viruses, covering the vast majori...

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Literature Corpus work: fcb029e1-9a25-5e04-8abf-ef982b226f0a
DOI: 10.1101/2022.01.25.477734

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