학술논문

ENISI multiscale modeling of mucosal immune responses driven by high performance computing
Document Type
Conference
Source
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on. :680-684 Nov, 2015
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Computational modeling
Immune system
Load modeling
Biological system modeling
Heating
multiscale modeling
ENISI
HPC
CD4+ T cell differentiation
inflammatory bowel disease
Language
Abstract
Computational modeling tools have increasingly important roles in our understanding of biological processes. Computer simulations guide experimental and clinical efforts in an unprecedented rate. This study presents ENteric Immunity Simulator - multiscale modeling (MSM) platform developed for high performance computing (HPC). ENISI MSMv2 is designed for modeling mucosal immune responses. The system scales to 109 agents in HPC simulations. This is an important step towards building large scale information processing representations of immune responses that integrate multiple modeling technologies and spatiotemporal scales ranging from nanoseconds to years and from molecules to systems. Our HPC-driven ENISI MSM platform combines the study of molecular pathways controlling T cell differentiation and tissue level interactions between cells to characterize novel mechanisms of immunoregulation at the gut mucosa.