Target Information

Target General Information

Target ID

T68465 (Former ID: TTDI01444)

Target Name

C-X-C motif chemokine 11 (CXCL11)

Synonyms

Small-inducible cytokine B11; SCYB9B; SCYB11; Interferon-inducible T-cell alpha chemoattractant; Interferon gamma-inducible protein 9; ITAC; IP-9; I-TAC; H174; Beta-R1

Click to Show/Hide

Gene Name

CXCL11

Target Type

Literature-reported target

[1]

Function

Induces calcium release in activated T-cells. Binds to CXCR3. May play an important role in CNS diseases which involve T-cell recruitment. May play a role in skin immune responses. Chemotactic for interleukin-activated T-cells but not unstimulated T-cells, neutrophils or monocytes.

Click to Show/Hide

BioChemical Class

Cytokine: CXC chemokine

UniProt ID

CXL11_HUMAN

Sequence

MSVKGMAIALAVILCATVVQGFPMFKRGRCLCIGPGVKAVKVADIEKASIMYPSNNCDKI
EVIITLKENKGQRCLNPKSKQARLIIKKVERKNF

Click to Show/Hide

3D Structure

Click to Show 3D Structure of This Target

AlphaFold

Cell-based Target Expression Variations

Top

Cell-based Target Expression Variations

Cell-based Target Expression Variations Info

Different Human System Profiles of Target	Top
Human Similarity Proteins of target is determined by comparing the sequence similarity of all human proteins with the target based on BLAST. The similarity proteins for a target are defined as the proteins with E-value < 0.005 and outside the protein families of the target. A target that has fewer human similarity proteins outside its family is commonly regarded to possess a greater capacity to avoid undesired interactions and thus increase the possibility of finding successful drugs (Brief Bioinform, 21: 649-662, 2020). Human Pathway Affiliation of target is determined by the life-essential pathways provided on KEGG database. The target-affiliated pathways were defined based on the following two criteria (a) the pathways of the studied target should be life-essential for both healthy individuals and patients, and (b) the studied target should occupy an upstream position in the pathways and therefore had the ability to regulate biological function. Targets involved in a fewer pathways have greater likelihood to be successfully developed, while those associated with more human pathways increase the chance of undesirable interferences with other human processes (Pharmacol Rev, 58: 259-279, 2006). Biological Network Descriptors of target is determined based on a human protein-protein interactions (PPI) network consisting of 9,309 proteins and 52,713 PPIs, which were with a high confidence score of ≥ 0.95 collected from STRING database. The network properties of targets based on protein-protein interactions (PPIs) have been widely adopted for the assessment of target’s druggability. Proteins with high node degree tend to have a high impact on network function through multiple interactions, while proteins with high betweenness centrality are regarded to be central for communication in interaction networks and regulate the flow of signaling information (Front Pharmacol, 9, 1245, 2018; Curr Opin Struct Biol. 44:134-142, 2017). Human Similarity Proteins Human Pathway Affiliation Biological Network Descriptors

Different Human System Profiles of Target

Top

Human Similarity Proteins of target is determined by comparing the sequence similarity of all human proteins with the target based on BLAST. The similarity proteins for a target are defined as the proteins with E-value < 0.005 and outside the protein families of the target.

A target that has fewer human similarity proteins outside its family is commonly regarded to possess a greater capacity to avoid undesired interactions and thus increase the possibility of finding successful drugs (Brief Bioinform, 21: 649-662, 2020).

Human Pathway Affiliation of target is determined by the life-essential pathways provided on KEGG database. The target-affiliated pathways were defined based on the following two criteria (a) the pathways of the studied target should be life-essential for both healthy individuals and patients, and (b) the studied target should occupy an upstream position in the pathways and therefore had the ability to regulate biological function.

Targets involved in a fewer pathways have greater likelihood to be successfully developed, while those associated with more human pathways increase the chance of undesirable interferences with other human processes (Pharmacol Rev, 58: 259-279, 2006).

Biological Network Descriptors of target is determined based on a human protein-protein interactions (PPI) network consisting of 9,309 proteins and 52,713 PPIs, which were with a high confidence score of ≥ 0.95 collected from STRING database.

The network properties of targets based on protein-protein interactions (PPIs) have been widely adopted for the assessment of target’s druggability. Proteins with high node degree tend to have a high impact on network function through multiple interactions, while proteins with high betweenness centrality are regarded to be central for communication in interaction networks and regulate the flow of signaling information (Front Pharmacol, 9, 1245, 2018; Curr Opin Struct Biol. 44:134-142, 2017).

Human Similarity Proteins

Human Pathway Affiliation

Biological Network Descriptors

There is no similarity protein (E value < 0.005) for this target

KEGG Pathway	Pathway ID	Affiliated Target
Cytokine-cytokine receptor interaction	hsa04060	Affiliated Target
Class: Environmental Information Processing => Signaling molecules and interaction	Pathway Hierarchy
Viral protein interaction with cytokine and cytokine receptor	hsa04061	Affiliated Target
Class: Environmental Information Processing => Signaling molecules and interaction	Pathway Hierarchy
Chemokine signaling pathway	hsa04062	Affiliated Target
Class: Organismal Systems => Immune system	Pathway Hierarchy
Toll-like receptor signaling pathway	hsa04620	Affiliated Target
Class: Organismal Systems => Immune system	Pathway Hierarchy

Degree	5	Degree centrality	5.37E-04	Betweenness centrality	1.44E-06
Closeness centrality	1.82E-01	Radiality	1.30E+01	Clustering coefficient	6.00E-01
Neighborhood connectivity	1.04E+01	Topological coefficient	3.19E-01	Eccentricity	12
Download	Click to Download the Full PPI Network of This Target

References

Top

REF 1

Chemokine (C-X-C motif) ligand 11 levels predict survival in cirrhotic patients with transjugular intrahepatic portosystemic shunt. Liver Int. 2016 Mar;36(3):386-94.

If You Find Any Error in Data or Bug in Web Service, Please Kindly Report It to Dr. Zhou and Dr. Zhang.

Prof. Feng ZHU

Prof. Yuzong CHEN