Structural comparison among the 2013–2017 avian influenza A H5N6 hemagglutinin proteins: A computational study with epidemiological implications

Cueno, Marni E.; Suzuki, Izuho; Shimotomai, Shiori; Yokoyama, Takuma; Nagahisa, Kai; Imai, Kenichi

doi:10.1016/j.jmgm.2017.11.013

Cited by 2 publications

(1 citation statement)

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“…The emergence of new broad host range of influenza strain with lack of previous host immunity and human to human transmission ability may result in the real pandemic outbreak with millions of fatalities. High frequency of genetic reassortment and antigenic drift, availability of hosting environments and circulating different subtypes of influenza virus for genetic alteration provide the virus suitable setting to generate new highly infectious strains [3].…”

Section: Introductionmentioning

confidence: 99%

The First Implication of Image Processing Techniques on Influenza A Virus Sub-Typing Based on HA/NA Protein Sequences, using Convolutional Deep Neural Network

Ahsan¹,

Ebrahimi²

2018

Preprint

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Increase in influenza A virus host range throughout its evolution has given rise to major concerns worldwide. Although the increasing host range mechanism of the virus is largely unknown; persistent genetic mutations have been blamed as a key factor in the re-organization of the host response and the host range. To uncover the underlying core bases of the two important antigenic proteins of influenza virus (HA and NA), functional data mining and image processing analysis of over 8000 protein sequences of different HA and NA subtypes were performed. Each amino acid sequence in HA or NA proteins sat as a feature or variable and two polynomial datasets were created and subjected into conventional prediction models.

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Section: Introductionmentioning

confidence: 99%