Exploring poly-beta-hydroxy-butyrate metabolism through network-based extreme pathway analysis.
The objective of this article is to obtain a more detailed insight into poly-beta-hydroxybutyrate (PHB) metabolism through network-based metabolic pathway analysis. We employ extreme pathways to perform this study, because calculating and interpreting extreme pathways is a promising way for pathway analysis and metabolic engineering. After giving an in silico model of butanoate metabolism of Bacillus thuringiensis 97-27 (btk), extreme pathways were calculated and classified. Furthermore, the type I and II extreme pathways were further classified and analyzed in detail based on their structure and functional capabilities. Besides "historical" biochemical pathways, the results also suggest that there are some novel pathways.
Ding
Dewu
D
State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Ding
Yanrui
Y
Cai
Yujie
Y
Chen
Shouwen
S
Xu
Wenbo
W
D000105:Acetyl Coenzyme A / Q000378:metabolism; D001413:Bacillus thuringiensis / Q000378:metabolism*; D001426:Bacterial Proteins / Q000378:metabolism; D003198:Computer Simulation; D006885:Hydroxybutyrates / Q000378:metabolism*; D053858:Metabolic Networks and Pathways / Q000502:physiology; D008954:Models, Biological; D011091:Polyesters / Q000378:metabolism*; D000094122:Polyhydroxybutyrates
D000105:Acetyl Coenzyme A; D001426:Bacterial Proteins; D006885:Hydroxybutyrates; D011091:Polyesters; C003182:poly-beta-hydroxybutyrate; D000094122:Polyhydroxybutyrates