### Abstract

An approach for analysis of biological networks is proposed. In this approach, named the connectivity matrix (CM) method, all the connectivities of interest are expressed in a matrix. Then, a variety of analyses are performed on GNU Octave or Matlab. Each node in the network is expressed as a row vector or numeral that carries information defining or characterising the node itself. Information about connectivity itself is also expressed as a row vector or numeral. Thus, connection of node n_{1} to node n_{2} through edge e is expressed as [n_{1}, n_{2}, e], a row vector formed by the combination of three row vectors or numerals, where n_{1}, n_{2}, and e indicate two different nodes and one connectivity, respectively. All the connectivities in any given network are expressed as a matrix, CM, each row of which corresponds to one connectivity. Using this CM method, inter-metabolite atom-level connectivity is investigated in a model metabolic network composed of the reactions for glycolysis, oxidative decarboxylation of pyruvate, citric acid cycle, pentose phosphate pathway and gluconeogenesis.

Original language | English |
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Pages (from-to) | 372-374 |

Number of pages | 3 |

Journal | IEE Proceedings: Systems Biology |

Volume | 153 |

Issue number | 5 |

DOIs | |

Publication status | Published - Sep 1 2006 |

### ASJC Scopus subject areas

- Biotechnology
- Molecular Medicine
- Modelling and Simulation
- Molecular Biology
- Genetics
- Cell Biology