Analysis of Mutation Trend of Influenza A Viruses Using a Computational Evolution Simulator

X.-T. Chung, P.-J. Su, Yuh-Jyh Hu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

According to Darwinism, all species of organisms arise and develop through natural selection of inherited variations that are more able to compete, survive, and reproduce so as to adapt better to the change of environments. We propose an evolution simulator to analyze the evolution of influenza A viruses. From the simulated trajectories, we are able to observe and analyze every single hypothetical mutational step in evolution, which cannot be achieved easily from a phylogenetic tree. We expect the evolution simulator to provide insights into the adaptive variability of viral proteins, and present the potential of predicting prospective adaptation trends that warrant further investigation by biologists and doctors.
Original languageEnglish
Title of host publicationSmart Science, Design & Technology
Subtitle of host publicationProceedings of the 5th International Conference on Applied System Innovation (ICASI 2019)
EditorsArtde Donald Kin-Tak Lam, Stephen D. Prior, Siu-Tsen Shen, Sheng-Joue Young, Liang-Wen Ji
Place of PublicationLondon
PublisherCRC Press
Number of pages6
Edition1
ISBN (Electronic)9780429058127
StatePublished - 2019
Event5th International Conference on Applied System Innovation (ICASI 2019) - Fukuoka, Japan
Duration: 12 Apr 201918 Apr 2019

Conference

Conference5th International Conference on Applied System Innovation (ICASI 2019)
CountryJapan
CityFukuoka
Period12/04/1918/04/19

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