2006年9月
Connectivity matrix method for analyses of biological networks and its application to atom-level analysis of a model network of carbohydrate metabolism
IEE PROCEEDINGS SYSTEMS BIOLOGY
- 巻
- 153
- 号
- 5
- 開始ページ
- 372
- 終了ページ
- 374
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1049/ip-syb:20060018
- 出版者・発行元
- INSTITUTION ENGINEERING TECHNOLOGY-IET
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, intermetabolite 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.
- リンク情報
- ID情報
-
- DOI : 10.1049/ip-syb:20060018
- ISSN : 1741-2471
- Web of Science ID : WOS:000240324600016