Title :
An Algorithm for Assigning Unique Keys to Metabolic Pathways
Author :
Fang, Fang ; Grossman, Robert L. ; Liu, Xiangjun
Author_Institution :
Univ. of Illinois at Chicago, Chicago
Abstract :
Different databases of metabolic pathways assign pathways different keys. For this reason, it is difficult to automatically compare pathways across databases. We introduce an algorithm called the Universal Pathway Key algorithm or UPK that assigns essentially unique keys to metabolic pathways. We show that the UPK algorithm assigns unique keys to the pathways in the MetaCyc database and can also be used to detect duplicate pathways. The UPK algorithm is a simple generalization of the UCK algorithm introduced in [7] that assigns essentially unique keys to chemical compounds.
Keywords :
biochemistry; biology computing; molecular biophysics; MetaCyc database; UPK; duplicate pathways detection; metabolic pathways; universal pathway key algorithm; Biochemistry; Bioinformatics; Biomedical computing; Bipartite graph; Chemical compounds; Computer science; Databases; Graphical models; Laboratories; Petri nets;
Conference_Titel :
Bioinformatics and Biomedicine, 2007. BIBM 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3031-4
DOI :
10.1109/BIBM.2007.63