SIGNAL TRANSDUCTION AND RELATED DATABASES

The Nucleic Acid Research database issue 2000 provides an updated compilation of links to all bioinformatics on-line resources, sorted by category, with concise descriptions.

KEGG regulatory pathways include Graphical pathway maps, ortholog group tables, and molecular catalogs for different pathways from various organisms.

TRANSPATH provides access to a growing amount of signal transduction data, mainly to pathways involved in mammalian transcriptional regulation. Entries are validated with references to original publications and linked to other databases. The knowledge base goes beyond the approach of traditional protein databases by storing interactions.

aMAZE, part of the Protein Function and Biochemical Pathways (PFBP) Project at the EBI, is an integrated database encompassing metabolic, regulatory and signal transduction pathways. As part of the project, a series of specialised querying tools, is being developed, in particular pathway queries, finding, comparing and abstracting pathways.

SPAD compiles graphical clickable maps of various eukaryotic pathways, categorized according to the extracellular molecules, which initiate the signal. Links to DNA, RNA and protein sequence are provided.

CSNDB is a data- and knowledge- base for signaling pathways of human cells. It compiles the information on biological molecules, sequences, structures, functions, and biological reactions which transfer the cellular signals. Signaling pathways are compiled as binary relationships of biomolecules and represented by graphs drawn automatically.

DIP, database of interacting proteins, catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions.

Yeast Pathways in MIPS are given as clickable figures, based on published papers, with detailed information on sequence, gentetics, protein motifs, transcription and literature available for each node.

GeNet contains information on the functional organization of regulatory genes networks acting at embryogenesis. Gene networks are described in interactive graphical form, based on a Boolean network model. In addition to browse and search capabilities, genetic networks dynamics can be simulated as well. Cross-organism links are provided, on the basis of a comparative evolutionary approach.

GIF_DB, FlyNets and Interactive Fly, all provide data on transduction and other biochemical pathways in Drosophila

ProNet Online, Protein-protein interaction database.