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
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