Weighting schemes in metabolic graphs for identifying biochemical routes.

ABSTRACT: Metabolism forms an integral part of all cells and its study is important to understand the functioning of the system, to understand alterations that occur in disease state and hence for subsequent applications in drug discovery. Reconstruction of genome-scale metabolic graphs from genomics and other molecular or biochemical data is now feasible. Few methods have also been reported for inferring biochemical pathways from these networks. However, given the large scale and complex inter-connections in the networks, the problem of identifying biochemical routes is not trivial and some questions still remain open. In particular, how a given path is altered in perturbed conditions remains a difficult problem, warranting development of improved methods. Here we report a comparison of 6 different

SUBMITTER: Ghosh S 

PROVIDER: S-EPMC3933632 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature