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  MECP2 protein (Homo sapiens) - STRING interaction network
 

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

 
   
Your Input:
MECP2
methyl CpG binding protein 2 (Rett syndrome); Chromosomal protein that binds to methylated DNA. It can bind specifically to a single methyl-CpG pair. It is not influenced by sequences flanking the methyl-CpGs. Mediates transcriptional repression through interaction with histone deacetylase and the corepressor SIN3A (498 aa)
(Homo sapiens)
Predicted Functional Partners:
SIN3A
SIN3 homolog A, transcription regulator (yeast); Acts as a transcriptional repressor. Interacts [...] (1273 aa)
      0.999
CDKL5
cyclin-dependent kinase-like 5; Mediates phosphorylation of MECP2 (1030 aa)
      0.997
DNMT1
DNA (cytosine-5-)-methyltransferase 1; Methylates CpG residues. Preferentially methylates hemim [...] (1632 aa)
      0.995
HDAC1
histone deacetylase 1; Responsible for the deacetylation of lysine residues on the N-terminal p [...] (482 aa)
      0.993
ATRX
alpha thalassemia/mental retardation syndrome X-linked (RAD54 homolog, S. cerevisiae); Could be [...] (2492 aa)
      0.987
DNMT3B
DNA (cytosine-5-)-methyltransferase 3 beta; Required for genome wide de novo methylation and is [...] (853 aa)
       0.985
SMARCA2
SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily a, member [...] (1590 aa)
      0.975
DLX5
distal-less homeobox 5 (289 aa)
       0.974
BDNF
brain-derived neurotrophic factor; During development, promotes the survival and differentiatio [...] (329 aa)
       0.964
UBE3A
ubiquitin protein ligase E3A; E3 ubiquitin-protein ligase which accepts ubiquitin from an E2 ub [...] (875 aa)
       0.961
 
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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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additional (white) nodes

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