Genome-Scale Metabolic Network DataBase

2019-12-23: the repository is offline Introduction of genome-scale metabolic network: The completion of genome sequencing and subsequent functional annotation for a great number of species enables the reconstruction of genome-scale metabolic networks. These networks, together with in silico network analysis methods such as the constraint based methods (CBM) and graph theory methods, can provide us systems level understanding of cellular metabolism. Further more, they can be applied to many predictions of real biological application such as: gene essentiality analysis, drug target discovery and metabolic engineering

2019年12月23日：该仓库已离线。
基因组规模代谢网络介绍：随着大量物种的全基因组测序及其后续的功能注释的完成，基因组规模代谢网络的构建成为可能。此类网络结合如基于约束的方法（CBM）和图论方法等虚拟网络分析技术，有助于我们从系统层面深刻理解细胞代谢。此外，它们还可在众多实际生物应用中发挥预测作用，例如：基因必需性分析、药物靶点发现及代谢工程。