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KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
To simplify viewing and navigation on the server, and to assist with the topological analyses, all the KEGG pathways in MetPA are presented as a network with metabolites serving as nodes and reactions as edges. MetPA provides an extensive tutorial explaining how to upload data and how interpret its output.
The ‘KEGG Organisms’ section, which is divided into eukaryotes and prokaryotes, encompasses many organisms for which gene and DNA information can be searched by typing in the enzyme of choice. BioCyc, EcoCyc, and MetaCyc : BioCyc Is a collection of 3,000 pathway/genome databases (as of Oct 2013), with each database dedicated to one organism.
Pathway resources and types of pathway analysis using databases like KEGG, Reactome and WikiPathways. [1]Pathway is the term from molecular biology for a curated schematic representation of a well characterized segment of the molecular physiological machinery, such as a metabolic pathway describing an enzymatic process within a cell or tissue or a signaling pathway model representing a ...
MetaNetX provides a number of tools to access, analyse and manipulate metabolic networks. [1] MetaNetX provides a bunch of pre-mapped metabolic models. To ease model comparison, MetaNetX has developed a resource to unify metabolites and biochemical reactions in the context of metabolic models. This unified namespace is called MetaNetX/MNXref ...
Human Metabolome Database; Content; Description: Metabolomics database: Data types captured: Human metabolite structures, metabolite descriptions, metabolite reactions, metabolite enzymes and transporters, human enzyme and transporter sequences, human metabolic pathways, normal and abnormal metabolite concentrations in humans, associated diseases, chemical properties, nomenclature, synonyms ...
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It is freely accessible and it is regularly updated. The resource also serves to highlight functional enrichments in user-provided lists of proteins, using a number of functional classification systems such as GO, Pfam and KEGG. The latest version 11b contains information on about 24,5 million proteins from more than 5000 organisms.