• Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

A community-driven global reconstruction of human metabolism.

Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven, consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared with its predecessors, the reconstruction has improved topological and functional features, including ∼2× more reactions and ∼1.7× more unique metabolites. Using Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.

Pubmed ID: 23455439

Authors

  • Thiele I
  • Swainston N
  • Fleming RM
  • Hoppe A
  • Sahoo S
  • Aurich MK
  • Haraldsdottir H
  • Mo ML
  • Rolfsson O
  • Stobbe MD
  • Thorleifsson SG
  • Agren R
  • Bölling C
  • Bordel S
  • Chavali AK
  • Dobson P
  • Dunn WB
  • Endler L
  • Hala D
  • Hucka M
  • Hull D
  • Jameson D
  • Jamshidi N
  • Jonsson JJ
  • Juty N
  • Keating S
  • Nookaew I
  • Le Novère N
  • Malys N
  • Mazein A
  • Papin JA
  • Price ND
  • Selkov E
  • Sigurdsson MI
  • Simeonidis E
  • Sonnenschein N
  • Smallbone K
  • Sorokin A
  • van Beek JH
  • Weichart D
  • Goryanin I
  • Nielsen J
  • Westerhoff HV
  • Kell DB
  • Mendes P
  • Palsson BØ

Journal

Nature biotechnology

Publication Data

May 9, 2013

Associated Grants

  • Agency: Biotechnology and Biological Sciences Research Council, Id: BB/C008219/1
  • Agency: Biotechnology and Biological Sciences Research Council, Id: BB/E006248/1
  • Agency: Biotechnology and Biological Sciences Research Council, Id: BB/F00561X
  • Agency: Biotechnology and Biological Sciences Research Council, Id: BB/F005938
  • Agency: Biotechnology and Biological Sciences Research Council, Id: BB/J019305/1
  • Agency: Biotechnology and Biological Sciences Research Council, Id: BBS/E/B/000C0419
  • Agency: NIGMS NIH HHS, Id: GM088244
  • Agency: NIGMS NIH HHS, Id: R01 GM070923
  • Agency: NIGMS NIH HHS, Id: R01 GM080219
  • Agency: NIGMS NIH HHS, Id: R01 GM088244
  • Agency: NIGMS NIH HHS, Id: R01GM070923
  • Agency: NIGMS NIH HHS, Id: R01GM080219

Mesh Terms

  • Computer Simulation
  • Databases, Protein
  • Humans
  • Metabolome
  • Models, Biological
  • Proteome