TY - JOUR
AU1 - Caspi, Ron
AU2 - Foerster, Hartmut
AU3 - Fulcher, Carol A.
AU4 - Kaipa, Pallavi
AU5 - Krummenacker, Markus
AU6 - Latendresse, Mario
AU7 - Paley, Suzanne
AU8 - Rhee, Seung Y.
AU9 - Shearer, Alexander G.
AU1 - Tissier, Christophe
AU1 - Walk, Thomas C.
AU1 - Zhang, Peifen
AU1 - Karp, Peter D.
AB - MetaCyc (MetaCyc.org) is a universal database of metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are curated from the primary scientific literature, and are experimentally determined small-molecule metabolic pathways. Each reaction in a MetaCyc pathway is annotated with one or more well-characterized enzymes. Because MetaCyc contains only experimentally elucidated knowledge, it provides a uniquely high-quality resource for metabolic pathways and enzymes. BioCyc (BioCyc.org) is a collection of more than 350 organism-specific Pathway/Genome Databases (PGDBs). Each BioCyc PGDB contains the predicted metabolic network of one organism, including metabolic pathways, enzymes, metabolites and reactions predicted by the Pathway Tools software using MetaCyc as a reference database. BioCyc PGDBs also contain predicted operons and predicted pathway hole fillers—predictions of which enzymes may catalyze pathway reactions that have not been assigned to an enzyme. The BioCyc website offers many tools for computational analysis of PGDBs, including comparative analysis and analysis of omics data in a pathway context. The BioCyc PGDBs generated by SRI are offered for adoption by any interested party for the ongoing integration of metabolic and genome-related information about an organism.
TI - The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases
JF - Nucleic Acids Research
DO - 10.1093/nar/gkm900
DA - 2008-01-27
UR - https://www.deepdyve.com/lp/oxford-university-press/the-metacyc-database-of-metabolic-pathways-and-enzymes-and-the-biocyc-GY4EvGwBUw
SP - D623
EP - D631
VL - 36
IS - suppl_1
DP - DeepDyve
ER -