Target Information
| Target General Information | Top | |||||
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| Target ID |
T16452
(Former ID: TTDR00604)
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| Target Name |
Multiple tumor suppressor 1 (CDKN2A)
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| Synonyms |
p16INK4A; Tumour suppressor gene p16; P16-INK4a; P16-INK4; P16 gene; MTS-1; Cyclin-dependent kinase inhibitor 2A; Cyclin-dependent kinase 4 inhibitor A; CDK4I
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| Gene Name |
CDKN2A
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| Target Type |
Literature-reported target
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[1] | ||||
| Function |
Acts as a negative regulator of the proliferation of normal cells by interacting strongly with CDK4 and CDK6. This inhibits their ability to interact with cyclins D and to phosphorylate the retinoblastoma protein.
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| UniProt ID | ||||||
| Sequence |
MEPAAGSSMEPSADWLATAAARGRVEEVRALLEAGALPNAPNSYGRRPIQVMMMGSARVA
ELLLLHGAEPNCADPATLTRPVHDAAREGFLDTLVVLHRAGARLDVRDAWGRLPVDLAEE LGHRDVARYLRAAAGGTRGSNHARIDAAEGPSDIPD Click to Show/Hide
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| 3D Structure | Click to Show 3D Structure of This Target | PDB | ||||
| HIT2.0 ID | T33JGV ; T54VQA | |||||
| Cell-based Target Expression Variations | Top | |||||
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| Cell-based Target Expression Variations | ||||||
| Different Human System Profiles of Target | Top |
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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
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| KEGG Pathway | Pathway ID | Affiliated Target | Pathway Map |
|---|---|---|---|
| Cell cycle | hsa04110 | Affiliated Target |
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| Class: Cellular Processes => Cell growth and death | Pathway Hierarchy | ||
| p53 signaling pathway | hsa04115 | Affiliated Target |
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| Class: Cellular Processes => Cell growth and death | Pathway Hierarchy | ||
| Cellular senescence | hsa04218 | Affiliated Target |
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| Class: Cellular Processes => Cell growth and death | Pathway Hierarchy | ||
| Degree | 35 | Degree centrality | 3.76E-03 | Betweenness centrality | 2.25E-03 |
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| Closeness centrality | 2.61E-01 | Radiality | 1.45E+01 | Clustering coefficient | 1.60E-01 |
| Neighborhood connectivity | 5.34E+01 | Topological coefficient | 5.24E-02 | Eccentricity | 11 |
| Download | Click to Download the Full PPI Network of This Target | ||||
| Target Regulators | Top | |||||
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| Target-regulating microRNAs | ||||||
| Target-interacting Proteins | ||||||
| References | Top | |||||
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| REF 1 | Analysis of the p16INK4A, p15INK4B and p18INK4C genes in multiple myeloma. Br J Haematol. 1997 Jan;96(1):98-102. | |||||
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