Global reconstruction of the human metabolic network based on genomic and bibliomic data.

ABSTRACT: Metabolism is a vital cellular process, and its malfunction is a major contributor to human disease. Metabolic networks are complex and highly interconnected, and thus systems-level computational approaches are required to elucidate and understand metabolic genotype-phenotype relationships. We have manually reconstructed the global human metabolic network based on Build 35 of the genome annotation and a comprehensive evaluation of >50 years of legacy data (i.e., bibliomic data). Herein we describe the reconstruction process and demonstrate how the resulting genome-scale (or global) network can be used (i) for the discovery of missing information, (ii) for the formulation of an in silico model, and (iii) as a structured context for analyzing high-throughput biological data sets. Our compreh

SUBMITTER: Duarte NC 

PROVIDER: S-EPMC1794290 | biostudies-literature | 2007 Feb

REPOSITORIES: biostudies-literature