PRKCZ protein (Homo sapiens) - STRING interaction network

PRKCZ protein (Homo sapiens) - STRING interaction network

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




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Your Input:
	PRKCZ	Protein kinase C zeta type (EC 2.7.11.13) (nPKC-zeta); This is a calcium-independent, phospholipid-dependent, serine- and threonine-specific enzyme (592 aa)
		(Homo sapiens)
Predicted Functional Partners:
	PARD6A	Partitioning defective 6 homolog alpha (PAR-6 alpha) (PAR-6A) (PAR-6) (PAR6C) (Tax interaction [...] (346 aa)	•	•	•		0.999
	PDPK1	3-phosphoinositide-dependent protein kinase 1 (EC 2.7.11.1) (hPDK1); Phosphorylates and activat [...] (556 aa)	•	•	•	•	0.998
	PAWR	PRKC apoptosis WT1 regulator protein (Prostate apoptosis response 4 protein) (Par-4); Pro-apopt [...] (340 aa)	•	•	•		0.993
	SQSTM1	Sequestosome-1 (Phosphotyrosine-independent ligand for the Lck SH2 domain of 62 kDa) (Ubiquitin [...] (443 aa)	•	•			0.993
	RELA	Transcription factor p65 (Nuclear factor NF-kappa-B p65 subunit); NF-kappa-B is a pleiotropic t [...] (551 aa)	•	•	•		0.989
	AKT1	RAC-alpha serine/threonine-protein kinase (EC 2.7.11.1) (RAC-PK-alpha) (Protein kinase B) (PKB) [...] (480 aa)	•	•	•	•	0.986
	CDC42	Cell division control protein 42 homolog precursor (G25K GTP-binding protein); Plasma membrane- [...] (191 aa)	•	•	•		0.984
	RAF1	RAF proto-oncogene serine/threonine-protein kinase (EC 2.7.11.1) (Raf- 1) (C-RAF) (cRaf); Invol [...] (648 aa)	•	•	•		0.979
	INSR	Insulin receptor precursor (EC 2.7.10.1) (IR) (CD220 antigen) [Contains- Insulin receptor subun [...] (1382 aa)		•	•		0.976
	NFATC2	Nuclear factor of activated T-cells, cytoplasmic 2 (T cell transcription factor NFAT1) (NFAT pr [...] (925 aa)	•	•	•		0.971

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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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