A Grid-based Simulation Model for the Evolution of Influenza A Viruses

Hsin-Ting Chung, Yuh-Jyh Hu, Yuh-Jyh Hu

2020

Abstract

We propose a simulation approach for analyzing and predicting the evolution of influenza A viruses (IAVs). The simulation is conducted in a sequence-based space to constrain the evolutionary trends within a grid of clusters of protein sequences. The simulated trajectories enable the investigation into point mutations on a protein strain of IAVs in evolution, which cannot be accomplished easily by analyses of phylogenetic trees. We tested the simulation model on three IAV internal proteins, NP, PB1 and PB2. The produced evolutionary pathways were consistent with previous studies of the reassortment history of the 2009 human pandemic. In addition, the chronological analysis of host-associated signature mutations on NP, PB1 and PB2 also agreed with the previous findings.

Paper Citation

in Harvard Style

Chung H. and Hu Y. (2020). A Grid-based Simulation Model for the Evolution of Influenza A Viruses. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-398-8, SciTePress, pages 109-116. DOI: 10.5220/0008878401090116

in Bibtex Style

@conference{bioinformatics20,
author={Hsin-Ting Chung and Yuh-Jyh Hu},
title={A Grid-based Simulation Model for the Evolution of Influenza A Viruses},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 3: BIOINFORMATICS},
year={2020},
pages={109-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008878401090116},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 3: BIOINFORMATICS
TI - A Grid-based Simulation Model for the Evolution of Influenza A Viruses
SN - 978-989-758-398-8
AU - Chung H.
AU - Hu Y.
PY - 2020
SP - 109
EP - 116
DO - 10.5220/0008878401090116
PB - SciTePress