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  CKM protein (Homo sapiens) - STRING interaction network
 

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

 
   
Your Input:
CKM
creatine kinase, muscle; Reversibly catalyzes the transfer of phosphate between ATP and various phosphogens (e.g. creatine phosphate). Creatine kinase isoenzymes play a central role in energy transduction in tissues with large, fluctuating energy demands, such as skeletal muscle, heart, brain and spermatozoa (381 aa)
(Homo sapiens)
Predicted Functional Partners:
MYOD1
myogenic differentiation 1; Involved in muscle differentiation (myogenic factor). Induces fibro [...] (320 aa)
       0.973
MYOG
myogenin (myogenic factor 4); Involved in muscle differentiation (myogenic factor). Induces fib [...] (224 aa)
       0.969
MEF2C
myocyte enhancer factor 2C; Transcription activator which binds specifically to the MEF2 elemen [...] (473 aa)
      0.967
MYF6
myogenic factor 6 (herculin); Involved in muscle differentiation (myogenic factor). Induces fib [...] (242 aa)
       0.937
TRIM63
tripartite motif-containing 63; E3 ubiquitin ligase. Regulates proteasomal degradation of cardi [...] (353 aa)
      0.925
GAMT
guanidinoacetate N-methyltransferase (269 aa)
      0.917
APOC2
apolipoprotein C-II; Component of the very low density lipoprotein (VLDL) fraction in plasma, a [...] (101 aa)
       0.915
DMD
dystrophin; May play a role in anchoring the cytoskeleton to the plasma membrane (3685 aa)
       0.891
MYOM2
myomesin (M-protein) 2, 165kDa; Major component of the vertebrate myofibrillar M band. Binds my [...] (1465 aa)
      0.874
AKT1
v-akt murine thymoma viral oncogene homolog 1; General protein kinase capable of phosphorylatin [...] (480 aa)
       0.845
 
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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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