Research on the Auto-Reconstruction of Genome-Scale Metabolic Network Model

Abstract:

Three kinds of methods for reconstruction of genome-scale metabolic network model, which were based on KEGG online database, Uniprot-MetaCyc databases and homologous alignment, have been studied for the process automation. Meanwhile, it has proposed an algorithm called Mahalanobis distance which was used to calculate the distance between reactions character frequency histogram. This algorithm can be used to the auto-integration of the draft model reactions and identify the core breakpoint. As an illustration example, the all automatic methods were implemented in the process of genome-scale metabolic reconstruction of Scheffersomyces stipitis, and confirming that these can improve the efficiency of model reconstruction.