Specifications for static pathway models: - gene list file 1. FEATURE ID This is an internal id given to each CDS, sequentially numbered in the order of appearance in the genome database. 2. Gene to Protein Match Level Level 1 is match with annnotation reference, Level 2 is by homology search, and Level 3 is by orthology search. 3. Database Reference In Level 1 and 2, SWISS-PROT entry id. In Level 3, EC number identified by COG id in the KEGG Orthology database. 4. E-value E-value for Level 2. Always 0 for Levels 1 and 3. 5. COG ID COG ID obtained through orthology search, only available for Level 3. - reaction list file The reaction list is divided into pathways in FASTA like format, begining with a line like the following: >MAP00010 Glycolysis / Glucogenesis where MAP00010 is the pathway id in KEGG database followed by the name of the pathway. End of the pathway list is specified by two slashes.(//) Each reaction is described with the following fields: 1. Gene name Name of the gene coding for the enzyme responsible for the reaction. If the reaction is filled in during the pathway check step, the name starts with 'unknown-'. 2. dynamic or static Define whether the reaction is dynamic (d) or static(s) for the selection of simulation methods. 3. reaction Stoicheometric reaction equation. Metabolites are represented by KEGG compound ID. 4. localization Protein localization of the enzyme. 5. EC number EC number of the enzyme 6. reaction mechanism specific enzyme reaction mechanism where available 7. reversibility reversibility of the enzyme reaction. - pathway view The pathway view visualizes the extracted pathway information by connecting the metabolites as nodes and enzymes as edges. For this purpose we are using the software "Visualizing protein-protein interaction" by Mrowka,R. (Bioinformatics 2001 17-7:669-671) See http://www.charite.de/bioinformatics/interaction/index.html this website for details of the software. - genome-scale model matrix The genome-scale model matrix is the entire stoichiometric matrix of the automatically generated models in csv (comma separated values format). This matrix can be used for metabolic flux analysis. The rows are the metabolites and the columns are the reactions. Contact Kazuharu Arakawa for questions. (C) 2004 Institute for Advanced Biosciences, Keio University