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Science and Technology Daily, Beijing, November 22 (Reporter Liu Xia) Scientists at the Cary Ecosystem Research Institute in New York, USA, have recently developed an artificial intelligence tool to analyze 5,400 mammalian species to predict which are most likely to spread the new coronavirus
The researchers explained that the new coronavirus infects humans and animals by binding the ACE2 protein on the host cell to its spike protein
To solve this problem, the latest research has developed a machine learning tool to predict whether the ACE2 protein of 5,400 mammals can bind tightly with the spike protein of the original coronavirus and its mutant strains to spread the virus even if they are not known.
The research team first estimated the binding strength of the ACE2 protein and spike protein of 142 mammalian species with known ACE2 sequences, and whether these species may transmit coronaviruses
The results show that the model can predict the possibility of 5,400 mammals to transmit the new coronavirus