Signal Transduction Weblinks
Below is a table of useful links related to this area of the website. All links will open in a new window. If you have any suggestions for websites that should be featured here, please contact us at info@kinexus.ca.
Site Name
Host
Features
Cold Spring Harbor Laboratory, The European Bioinformatics Institute, and The Gene Ontology Consortium
The Reactome project is a curated resource of core pathways and reactions in human biology. The information in this database is authored by biological researchers with expertise in their fields, maintained by the Reactome editorial staff, and cross-referenced with the sequence databases at NCBI, Ensembl and UniProt, the UCSC Genome Browser , HapMap, KEGG (Gene and Compound ), ChEBI, PubMed and GO. In addition to curated human events, inferred orthologous events in 22 non-human species are also available.
Sigma-Aldrich, St. Louis, MI, USA
This websites contains over a 110 cell signalling pathway slides and charts, which are down loadable in PowerPoint format.
Kyushu University, Kyushu, Japan
SPAD was designed to provide a detailed overview of signaling transduction. SPAD is divided to four categories based on extracellular signal molecules (growth factors, cytokines, and hormones) and stress, that initiate intracellular signaling pathways. SPAD is compiled in order to descriptive information on interactions between proteins and with DNA as well as specific information on protein and DNA sequences.
Science Magazine, Washington, DC, USA
A well organized and detailed educational resource with information about signalling proteins and pathways.
Novo Nordisk Foundation Center for Protein Research, European Molecular Biology Laboratory, Swiss Institute of Bioinformatic, University of Copenhagen, The Biotechnology Center (BIOTEC) of the Technische Universität Dresden, and the University of Zurich
Search Tool for the Retrieval of Interacting Genes/Proteins is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations. STRING quantitatively integrates interaction data from multiple sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 2,590,259 proteins from 630 organisms.