The genome-based E-cell modeling (GEM) system

Abstract

Rapid advances in the sequencing technologies have brought forth a vast amount of genome data. The GenBank database at the National Center for Biotechnology Liformation now distributes more than 100 complete genomes [1]. This fast accumulation of data is also present in all fields of molecular biology, including transcriptome, proteome, and metabolome. With the existence of the large amount of data, understanding of the cell requires a "systems biology" approach in order to view the dynamic behavior as a complex system [2]. Several successful attempts for this purpose through cell simulation have already been reported [3-5].