Modeling influenza viral dynamics in tissue

Authors:
Catherine Beauchemin;Stephanie Forrest;Frederick T. Koster
Affiliations:
Adaptive Computation Lab., University of New Mexico, Albuquerque, NM;Dept. of Computer Science, University of New Mexico, Albuquerque, NM;Lovelace Respiratory Research Institute, Albuquerque, NM
Venue:
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Year:
2006

Citing 3
Cited 3

Exploring the relationship between neutral and selective mutations in cancer

Artificial Life - Special issue on the Artificial Life VII: looking backward, looking forward
PathSim visualizer: an Information-Rich Virtual Environment framework for systems biology

Proceedings of the ninth international conference on 3D Web technology
Simulating the Hallmarks of Cancer

Artificial Life

Agent-based modeling of host-pathogen systems: The successes and challenges

Information Sciences: an International Journal
Simulating antigenic drift and shift in influenza A

Proceedings of the 2009 ACM symposium on Applied Computing
Modeling migration, compartmentalization and exit of naive T cells in lymph nodes without chemotaxis

ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Predicting the virulence of new Influenza strains is an important problem. The solution to this problem will likely require a combination of in vitro and in silico tools that are used iteratively. We describe the agent-based modeling component of this program and report preliminary results from both the in vitro and in silico experiments.