STRING 9.05 
  PIGV protein (Homo sapiens) - STRING network view
 

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

 
   
Your Input:
PIGV
phosphatidylinositol glycan anchor biosynthesis, class V; Alpha-1,6-mannosyltransferase involved in glycosylphosphatidylinositol-anchor biosynthesis. Transfers the second mannose to the glycosylphosphatidylinositol during GPI precursor assembly (493 aa)
(Homo sapiens)
Predicted Functional Partners:
PIGM
phosphatidylinositol glycan anchor biosynthesis, class M; Mannosyltransferase involved in glyco [...] (423 aa)
      0.950
PIGB
phosphatidylinositol glycan anchor biosynthesis, class B; Mannosyltransferase involved in glyco [...] (555 aa)
      0.948
PIGN
phosphatidylinositol glycan anchor biosynthesis, class N; Ethanolamine phosphate transferase in [...] (931 aa)
      0.928
PIGX
phosphatidylinositol glycan anchor biosynthesis, class X; Essential component of glycosylphosph [...] (217 aa)
      0.919
DPM2
dolichyl-phosphate mannosyltransferase polypeptide 2, regulatory subunit; Regulates the biosynt [...] (84 aa)
      0.874
DPM1
dolichyl-phosphate mannosyltransferase polypeptide 1, catalytic subunit; Transfers mannose from [...] (260 aa)
      0.844
ALG3
asparagine-linked glycosylation 3, alpha-1,3- mannosyltransferase homolog (S. cerevisiae); Adds [...] (438 aa)
      0.837
DPM3
dolichyl-phosphate mannosyltransferase polypeptide 3; Stabilizer subunit of the dolichol-phosph [...] (122 aa)
      0.812
PIGZ
phosphatidylinositol glycan anchor biosynthesis, class Z; Mannosyltransferase involved in glyco [...] (579 aa)
       0.513
PIGW
phosphatidylinositol glycan anchor biosynthesis, class W; Probable acetyltransferase, which ace [...] (504 aa)
       0.508
 
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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:
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Co-expression Experiments Databases Textmining
 
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