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Bioinformatics Approach to Analyze Influenza Viruses

  • Karina Salvatierra
  • Hector FlorezEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 916)

Abstract

Influenza viruses are highly contagious respiratory illness and responsible for the severe annual morbidity and mortality worldwide. They are classified into types, influenza A, B and C. Influenza viruses accumulate point mutations during replication, especially in three proteins: matrix-membrane, hemagglutinin, and neuraminidase. Nucleotide and amino acid variations may produce selective advantages for viral strains, in the matrix-membrane and neuraminidase may be related to eluding host immunity, while variations in the hemagglutinin are responsible for the appearance of antigenic drift that evade preexisting host immunity and cause reinfections. In this paper, we present a bioinformatics study for detecting mutations implicated in variability in the hemagglutinin, neuraminidase and matrix-membrane of influenza strains using our bioinformatics tool BMA. In this study, we calculate, compare, and analyze genetic variations associated with antigenic drift in hemagglutinin protein from influenza A H1N1. BMA allows users to identify mutations in sequences quickly and efficiently for the detection of antigenic drift.

Keywords

Bioinformatics Hemagglutinin Neuraminidase Influenza viruses 

Notes

Acknowledgment

Authors are grateful for the support received from the Information Technologies Innovation Research Group.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Universidad Nacional de MisionesPosadasArgentina
  2. 2.Universidad Distrital Francisco Jose de CaldasBogotáColombia

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