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Molecules 2018, 23(7), 1584; https://doi.org/10.3390/molecules23071584

Scoring Amino Acid Mutations to Predict Avian-to-Human Transmission of Avian Influenza Viruses

1
Institute of Computing Science and Technology, Guangzhou University, Guangzhou 510006, China
2
Henan Key Lab of Information-Based Electrical Appliances, College of Electrical and Electronic Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
*
Author to whom correspondence should be addressed.
Received: 17 May 2018 / Revised: 13 June 2018 / Accepted: 19 June 2018 / Published: 29 June 2018
(This article belongs to the Special Issue Molecular Computing and Bioinformatics)
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Abstract

Avian influenza virus (AIV) can directly cross species barriers and infect humans with high fatality. Using machine learning methods, the present paper scores the amino acid mutations and predicts interspecies transmission. Initially, 183 signature positions in 11 viral proteins were screened by the scores of five amino acid factors and their random forest rankings. The most important amino acid factor (Factor 3) and the minimal range of signature positions (50 amino acid residues) were explored by a supporting vector machine (the highest-performing classifier among four tested classifiers). Based on these results, the avian-to-human transmission of AIVs was analyzed and a prediction model was constructed for virology applications. The distributions of human-origin AIVs suggested that three molecular patterns of interspecies transmission emerge in nature. The novel findings of this paper provide important clues for future epidemic surveillance. View Full-Text
Keywords: avian influenza virus; interspecies transmission; amino acid mutation; machine learning avian influenza virus; interspecies transmission; amino acid mutation; machine learning
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Qiang, X.; Kou, Z.; Fang, G.; Wang, Y. Scoring Amino Acid Mutations to Predict Avian-to-Human Transmission of Avian Influenza Viruses. Molecules 2018, 23, 1584.

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