The BioMet Toolbox consists of web-based resources for stoichiometric analysis of metabolic networks and for integration of transcriptome and interactome data into these networks to simulate growth rates, substrate uptake rates and metabolic production rates. Files for model organisms are included.
The BRENDA (BRaunschweig ENzyme Database) enzyme information system is a collection of enzyme functional and property data, manually extracted from the primary literature. The content covers information on function, structure, occurrence, preparation and application of enzymes as well as properties of mutants and engineered variants. New query, analysis and data management tools were implemented to improve data processing, data presentation, data input and data access. BRENDA now provides new viewing options such as the display of the statistics of functional parameters and the 3D view of protein sequence and structure features. A ligand summary shows comprehensive information on the BRENDA ligands. The enzymes are linked to their respective pathways and can be viewed in pathway maps.
ConsensusPathDB is a meta-database that integrates physical protein interactions, metabolic and signaling reactions and gene regulatory interactions in a seamless functional association network that simultaneously describes multiple functional aspects of genes, proteins, complexes, metabolites, etc. ConsensusPathDB offers different ways of utilizing these integrated interaction data, with tools for visualization, analysis and interpretation of high-throughput expression data in the light of functional interactions and biological pathways.
The Comparative Pathway Analyzer (CPA) is a web tool for comparative metabolic network analysis. The differences in metabolic reaction content between two sets of organisms are computed and displayed on KEGG pathway maps.
From Metabolite to Metabolite (FMM) is a web server for metabolic pathway reconstruction from one metabolite to another metabolite in a different species based on the KEGG pathway and other integrated databases.
FragmentStore, a resource for the comparison of fragments found in metabolites, drugs or toxic compounds. Starting from 13,000 metabolites, 16,000 drugs and 2200 toxic compounds we generated 35,000 different building blocks (fragments), which are not only relevant to their biosynthesis and degradation but also provide important information regarding side-effects and toxicity. The FragmentStore provides a variety of search options such as 2D structure, molecular weight, rotatable bonds, etc. Various analysis tools have been implemented including the calculation of amino acid preferences of fragments' binding sites, classification of fragments based on the enzyme classification class of the enzyme(s) they bind to and small molecule library generation via a fragment-assembler tool.
GLAMM is a web server for visualizing metabolic networks, reconstructing metabolic networks from annotated genome data, visualizing experimental data in the context of metabolic data and investigating the construction of novel, transgenic pathways.
The Gramene database has become a resource for major model and crop plants including Arabidopsis, Brachypodium, maize, sorghum, poplar and grape in addition to several species of rice. Gramene has an Ensembl genome browser and host a wide array of data sets including quantitative trait loci (QTL), metabolic pathways, genetic diversity, genes, proteins, germplasm, literature, ontologies and a fully-structured markers and sequences database integrated with genome browsers and maps from various published studies (genetic, physical, bin, etc.). In addition, Gramene now hosts a variety of web services including a Distributed Annotation Server (DAS), BLAST and a public MySQL database.
KaPPA-View4 is a metabolic pathway database which is able to overlay gene-to-gene and/or metabolite-to-metabolite relationships as curves on a metabolic pathway map, or on a combination of up to four maps. Pathway maps of the Kyoto Encyclopedia of Genes and Genomes (KEGG) and maps generated from their gene classifications are available at KaPPA-View4 KEGG version. Gene co-expression data from the databases ATTED-II, COXPRESdb, CoP and MiBASE for human, mouse, rat, Arabidopsis, rice, tomato and other plants are available.
Pathway maps, molecular catalogs, genome maps and gene catalogs that capture knowledge about interactions in terms of information pathways. KEGG comprises several databases, including BRITE (protein-protein interactions), PATHWAY (interaction networks for cellular processes), and LIGAND (chemical compounds and chemical reactions). KEGG Atlas is a new tool for the global analysis of metabolic pathways.
Microarray Database Network (MADNet) is a data mining and visualization tool for analysis of diverse high-throughput biological data such as microarrays and phage display experiments. Data is integrated with information from NCBI, KEGG TRANSFAC and DrugBank.
With applications in metabolomics and other mass spectrometry studies, MassTRIX is a hypothesis driven approach to the annotation of mass spectrometry data. Data is output in context on a KEGG pathway map.