version_number_image
 
 

This is the evidence view. Different line colors represent the types of evidence for the association.

 
   
Your Input:
Csnk1e
casein kinase 1 epsilon (506 aa)
(Rattus norvegicus)
Predicted Functional Partners:
Cry2
Cryptochrome-2; Blue light-dependent regulator of the circadian feedback loop. Inhibits CLOCK|N [...] (594 aa)
      0.918
Axin1
Axin-1 (Axis inhibition protein 1) (rAxin); Controls dorsoventral patterning via two opposing e [...] (863 aa)
     0.904
Ywhag
14-3-3 protein gamma; Adapter protein implicated in the regulation of a large spectrum of both [...] (247 aa)
       0.904
Ywhah
14-3-3 protein eta; Adapter protein implicated in the regulation of a large spectrum of both ge [...] (246 aa)
       0.904
Ywhaz
14-3-3 protein zeta/delta (Protein kinase C inhibitor protein 1) (KCIP-1) (Mitochondrial import [...] (245 aa)
       0.904
Ywhab
14-3-3 protein beta/alpha (Protein kinase C inhibitor protein 1) (KCIP-1) (Prepronerve growth f [...] (246 aa)
       0.903
Akap9
A kinase (PRKA) anchor protein (yotiao) 9 (3764 aa)
     0.903
Ywhae
14-3-3 protein epsilon (14-3-3E) (Mitochondrial import stimulation factor L subunit) (MSF L); A [...] (255 aa)
       0.902
Csnk1a1
Casein kinase I isoform alpha (EC 2.7.11.1) (CKI-alpha) (CK1); Casein kinases are operationally [...] (353 aa)
     0.902
ENSRNOG00000032070
dynein, cytoplasmic, heavy polypeptide 2; May function as a motor for intraflagellar retrograde [...] (1536 aa)
       0.899
 
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Info & Parameters ...
Network Display - Nodes are either colored (if they are directly linked to the input - as in the table) or white (nodes of a higher iteration/depth). Edges, i.e. predicted functional links, consist of up to eight lines: one color for each type of evidence. Hover or click to reveal more information about the node/edge.

Active Prediction Methods:
Neighborhood Gene Fusion Co-occurrence
Co-expression Experiments Databases Textmining
 
required confidence (score): interactors shown:
or custom value: or custom limit:

additional (white) nodes         or: network depth