STRING 9.1 
  Ywhaq protein (Rattus norvegicus) - STRING network view
 

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

 
   
Your Input:
Ywhaq
14-3-3 protein theta (14-3-3 protein tau); Adapter protein implicated in the regulation of a large spectrum of both general and specialized signaling pathway. Binds to a large number of partners, usually by recognition of a phosphoserine or phosphothreonine motif. Binding generally results in the modulation of the activity of the binding partner (245 aa)
(Rattus norvegicus)
Predicted Functional Partners:
Cdc25c
cell division cycle 25C (261 aa)
     0.925
Cdc25b
M-phase inducer phosphatase 2 (EC 3.1.3.48)(Dual specificity phosphatase Cdc25B); Tyrosine prot [...] (575 aa)
     0.923
Ywhaz
14-3-3 protein zeta/delta (Protein kinase C inhibitor protein 1)(KCIP-1)(Mitochondrial import s [...] (245 aa)
   0.889
Ngfrap1
Protein BEX3 (Brain-expressed X-linked protein 3 homolog)(rBex3)(p75NTR-associated cell death e [...] (130 aa)
     0.882
Ywhab
14-3-3 protein beta/alpha (Protein kinase C inhibitor protein 1)(KCIP-1)(Prepronerve growth fac [...] (246 aa)
   0.842
Ywhah
14-3-3 protein eta ; Adapter protein implicated in the regulation of a large spectrum of both g [...] (246 aa)
   0.827
Tsc2
Tuberin (Tuberous sclerosis 2 homolog protein); In complex with TSC1, inhibits the nutrient-med [...] (1809 aa)
     0.759
Cdkn1b
cyclin-dependent kinase inhibitor 1B (p27, kip1) (197 aa)
     0.742
Bad
Bcl2 antagonist of cell death (BAD)(Bcl-2-binding component 6)(Bcl-xL/Bcl-2-associated death pr [...] (220 aa)
      0.742
Braf
V-raf murine sarcoma viral oncogene B1-like protein Fragment (804 aa)
      0.741
 
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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
 
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