Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks

Background: Biomolecular networks dynamically respond to stimuli and implement cellular function. Understanding these dynamic changes is the key challenge for cell biologists. As biomolecular networks grow in size and complexity, the model of a biomolecular network must become more rigorous to keep track of all the components and their interactions. In general this presents the need for computer simulation to manipulate and understand the biomolecular network model. Results: In this paper, we present a novel method to model the regulatory system which executes a cellular function and can be represented as a biomolecular network. Our method consists of two steps. First, a novel scale-free network clustering approach is applied to the large-scale biomolecular network to obtain various sub-networks. Second, a state-space model is generated for the sub-networks and simulated to predict their behavior in the cellular context. The modeling results represent hypotheses that are tested agains...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Xiaohua Hu, Fang-Xiang Wu
• Keywords: Biomolecular Network, BMCBI 2007, Cellular Function, Large-scale Biomolecular Network