A genome-scale, constraint-based approach to systems biology of human metabolism.
The recent sequencing and annotation of the human genome enables a new era in biomedicine that will be based on an interdisciplinary, systemic approach to the elucidation and treatment of human disease. Reconstruction of genome-scale metabolic networks is an important part of this approach since networks represent the integration of diverse biological data such as genome annotations, high-throughput data, and legacy biochemical knowledge. This article will describe Homo sapiens Recon 1, a functionally tested, genome-scale reconstruction of human cellular metabolism, and its capabilities for facilitating the understanding of physiological and disease metabolic states.
Mo
Monica L
ML
University of California, San Diego, 9500 Gilman Dr. 0412, La Jolla, CA 92093-0412, USA.
Jamshidi
Neema
N
Palsson
Bernhard Ø
BØ
D019295:Computational Biology / Q000379:methods*; D015894:Genome, Human / Q000235:genetics*; D006801:Humans; D053858:Metabolic Networks and Pathways / Q000235:genetics*; D012984:Software; D049490:Systems Biology / Q000379:methods*