21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)
Biological Systems Analysis Using Inductive Logic Programming
Niagara Falls, Ontario, Canada
May 21-May 23
ISBN: 0-7695-2847-3
Andrei Doncescu, Laboratory of Analysis and Architecture of Systems, CNRS, France
Katsumi Inoue, National Institute of Informatics, Japan; Graduate University for Advanced Studies, Japan
The cell is an entity composed of several thousand types of interacting proteins. The kinetics of these processes are determined by the properties of the cell. The metabolic flexibility of the cells leads to very complex growth dynamics. Mathematical models can take an important part in this task which still can be described only in a roughly simplifying way. The complicated structure of metabolism and the mechanisms of its regulation are still not fully understood. Nevertheless, the mathematical models, which naturally must be incomplete and inaccurate to a certain degree, can be useful tools to describe the intracellular process which are of great importance for control, optimization, or our understanding of the process. This paper describes the possibility to use the ILP tool CF-induction in explanation of metabolic pathway mechanisms, which extends the range of existing approaches.
Citation:
Andrei Doncescu, Yoshitaka Yamamoto, Katsumi Inoue, "Biological Systems Analysis Using Inductive Logic Programming," ainaw, vol. 1, pp.690-695, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007