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

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

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

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.
原文English
主出版物標題Smart Science, Design & Technology
主出版物子標題Proceedings of the 5th International Conference on Applied System Innovation (ICASI 2019)
編輯Artde Donald Kin-Tak Lam, Stephen D. Prior, Siu-Tsen Shen, Sheng-Joue Young, Liang-Wen Ji
出版地London
發行者CRC Press
頁數6
版本1
ISBN(電子)9780429058127
出版狀態Published - 11月 2019
事件5th International Conference on Applied System Innovation (ICASI 2019) - Fukuoka, Japan
持續時間: 12 4月 201918 4月 2019

Conference

Conference5th International Conference on Applied System Innovation (ICASI 2019)
國家/地區Japan
城市Fukuoka
期間12/04/1918/04/19

指紋

深入研究「Analysis of Mutation Trend of Influenza A Viruses Using a Computational Evolution Simulator」主題。共同形成了獨特的指紋。

引用此