Agent-based modeling of endotoxin-induced acute inflammatory response in human blood leukocytes.

ABSTRACT:

Background

Inflammation is a highly complex biological response evoked by many stimuli. A persistent challenge in modeling this dynamic process has been the (nonlinear) nature of the response that precludes the single-variable assumption. Systems-based approaches offer a promising possibility for understanding inflammation in its homeostatic context. In order to study the underlying complexity of the acute inflammatory response, an agent-based framework is developed that models the emerging host response as the outcome of orchestrated interactions associated with intricate signaling cascades and intercellular immune system interactions.

Methodology/principal findings

An agent-based modeling (ABM) framework is proposed to study the nonlinear dynamics of acute human inflammati

SUBMITTER: Dong X 

PROVIDER: S-EPMC2823776 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature