Multi-level dynamic modeling in biological systems : application of hybrid Petr...

• Author(s): Costa, Rafael S. ; Machado, Daniel ; Neves, Ana Rute ; Vinga, Susana
• Date: 2012
• Persistent ID: http://hdl.handle.net/1822/24308
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Systems biology; Integrated dynamic modelling; Hybrid Petri net; Approximate rate laws; Streptococcus pneumoniae
• Document Type: Conference Object
• Language: English

Description

The recent progress in the high-throughput experimental technologies allows the reconstruction of many biological networks and to evaluate changes in proteins, genes and metabolites levels in different conditions. On the other hand, computational models, when complemented with regulatory information, can be used to predict the phenotype of an organism under different genetic and environmental conditions. These computational methods can be used for example to identify molecular targets capable of inactivating a bacterium and to understand its virulence factors. This work proposes a hybrid metabolic-regulatory Petri net approach that is based on the combination of approximate enzyme-kinetic rate laws and Petri nets. A prototypic network model is used as a test-case to illustrate the application of these concepts in Systems Biology.