DocumentCode :
464228
Title :
Biological Systems Analysis Using Inductive Logic Programming
Author :
Doncescu, Andrei ; Yamamoto, Yoshitaka ; Inoue, Katsumi
Author_Institution :
Lab. of Anal. & Archit. of Syst., CNRS, Toulouse
Volume :
1
fYear :
2007
fDate :
21-23 May 2007
Firstpage :
690
Lastpage :
695
Abstract :
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.
Keywords :
biology computing; inductive logic programming; mathematics computing; ILP tool CF-induction; biological systems analysis; complex growth dynamics; inductive logic programming; intracellular process; mathematical models; metabolic flexibility; metabolic pathway mechanisms; Biochemistry; Biological system modeling; Biological systems; Biomedical measurements; Informatics; Kinetic theory; Logic programming; Mathematical model; Production; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on
Conference_Location :
Niagara Falls, Ont.
Print_ISBN :
978-0-7695-2847-2
Type :
conf
DOI :
10.1109/AINAW.2007.112
Filename :
4221138
Link To Document :
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