PathwayLinker identifies and
visualizes the first neighbor
interactor network of the queried proteins,
analyzes the
signaling pathway memberships of
the proteins in this subnet, and provides
links to further online resources.
Quick search
Search terms | - You
can enter names and identifiers of genes and proteins (search terms).
PathwayLinker maps these to UniProt primary accessions with the UniProt
API, which recognizes the following types of gene/protein identifiers.
- In addition, for H. sapiens you can search for drug targets with the DrugBank IDs, Brand names and Generic names of drugs/compounds.
- Separate search terms with commas.
|
Quick search | - For each search term only one (the most relevant) search hit is selected. For a manual selection of one or more search hits please use the Advanced search.
- All available interaction types and signaling pathway sources are used.
|
Advanced search | - You can manually select proteins for each search term separately. Search terms with 0 or 1 UniProt hit (protein) are not shown. If there is 1
hit, then it is automatically selected for the given search term. You
can change all search terms and selections (including those for search
terms with 0 or 1 hit) from the selection summary page.
- You can manually select interaction types and signaling pathway sources.
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Biomedical research often focuses on altering the functions
of selected proteins. These changes can unexpectedly perturb
signaling pathways and non-specifically affect several
cellular processes. PathwayLinker can assist
experimental work by
linking
the queried
proteins to signaling pathways
through protein-protein and/or genetic interactions.
If you find PathwayLinker useful for your work, interactively or the API, then please cite our work. Thank you.
Linking proteins to signaling pathways for experiment design and evaluationFarkas I J, Szántó-Várnagy Á, Korcsmáros T
PLoS ONE 7, e36202 (2012)
Abstract ·
Full Text PDF ·
PathwayLinker.orgSupport: European Research Council Grants FP6-518230 and TAMOP 4.2.1./B-09/1/KMR-2010-0003; Hungarian Scientific Research Fund Grant K75334; Hungarian Research and Technology Office Grant 5LET-08-2-2009-0041; UCSF Center for Systems and Synthetic Biology.