Target Information
Target General Information | Top | |||||
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Target ID |
T87350
(Former ID: TTDI02317)
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Target Name |
Platelet-derived growth factor B (PDGFB)
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Synonyms |
SIS; Protooncogene cSis; Proto-oncogene c-Sis; Plateletderived growth factor subunit B; Plateletderived growth factor beta polypeptide; Plateletderived growth factor B chain; Platelet-derived growth factor subunit B; Platelet-derived growth factor beta polypeptide; Platelet-derived growth factor B chain; PDGF2; PDGF-2; PDGF subunit B; Becaplermin
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Gene Name |
PDGFB
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Target Type |
Clinical trial target
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[1] | ||||
Disease | [+] 1 Target-related Diseases | + | ||||
1 | Diabetic foot ulcer [ICD-11: BD54] | |||||
Function |
Potent mitogen for cells of mesenchymal origin. Required for normal proliferation and recruitment of pericytes and vascular smooth muscle cells in the central nervous system, skin, lung, heart and placenta. Required for normal blood vessel development, and for normal development of kidney glomeruli. Plays an important role in wound healing. Signaling is modulated by the formation of heterodimers with PDGFA. Growth factor that plays an essential role in the regulation of embryonic development, cell proliferation, cell migration, survival and chemotaxis.
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BioChemical Class |
Growth factor
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UniProt ID | ||||||
Sequence |
MNRCWALFLSLCCYLRLVSAEGDPIPEELYEMLSDHSIRSFDDLQRLLHGDPGEEDGAEL
DLNMTRSHSGGELESLARGRRSLGSLTIAEPAMIAECKTRTEVFEISRRLIDRTNANFLV WPPCVEVQRCSGCCNNRNVQCRPTQVQLRPVQVRKIEIVRKKPIFKKATVTLEDHLACKC ETVAAARPVTRSPGGSQEQRAKTPQTRVTIRTVRVRRPPKGKHRKFKHTHDKTALKETLG A Click to Show/Hide
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3D Structure | Click to Show 3D Structure of This Target | AlphaFold | ||||
HIT2.0 ID | T89S77 |
Drugs and Modes of Action | Top | |||||
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Clinical Trial Drug(s) | [+] 4 Clinical Trial Drugs | + | ||||
1 | PDGF-BB | Drug Info | Phase 3 | Diabetic foot ulcer | [2], [3] | |
2 | E-10030 | Drug Info | Phase 2 | Macular degeneration | [4] | |
3 | GAM-501 | Drug Info | Phase 2 | Diabetic foot ulcer | [5] | |
4 | CR-002 | Drug Info | Phase 1 | Cystic fibrosis | [6] | |
Mode of Action | [+] 2 Modes of Action | + | ||||
Modulator | [+] 3 Modulator drugs | + | ||||
1 | PDGF-BB | Drug Info | [1] | |||
2 | GAM-501 | Drug Info | [8] | |||
3 | CR-002 | Drug Info | [9] | |||
Antagonist | [+] 1 Antagonist drugs | + | ||||
1 | E-10030 | Drug Info | [4], [7] |
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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There is no similarity protein (E value < 0.005) for this target
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KEGG Pathway | Pathway ID | Affiliated Target | Pathway Map |
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MAPK signaling pathway | hsa04010 | Affiliated Target |
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Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
Ras signaling pathway | hsa04014 | Affiliated Target |
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Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
Rap1 signaling pathway | hsa04015 | Affiliated Target |
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Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
Calcium signaling pathway | hsa04020 | Affiliated Target |
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Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
Phospholipase D signaling pathway | hsa04072 | Affiliated Target |
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Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
PI3K-Akt signaling pathway | hsa04151 | Affiliated Target |
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Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
Focal adhesion | hsa04510 | Affiliated Target |
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Class: Cellular Processes => Cellular community - eukaryotes | Pathway Hierarchy | ||
Gap junction | hsa04540 | Affiliated Target |
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Class: Cellular Processes => Cellular community - eukaryotes | Pathway Hierarchy | ||
JAK-STAT signaling pathway | hsa04630 | Affiliated Target |
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Class: Environmental Information Processing => Signal transduction | Pathway Hierarchy | ||
Regulation of actin cytoskeleton | hsa04810 | Affiliated Target |
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Class: Cellular Processes => Cell motility | Pathway Hierarchy | ||
Click to Show/Hide the Information of Affiliated Human Pathways |
Degree | 7 | Degree centrality | 7.52E-04 | Betweenness centrality | 8.09E-05 |
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Closeness centrality | 2.34E-01 | Radiality | 1.41E+01 | Clustering coefficient | 3.81E-01 |
Neighborhood connectivity | 5.06E+01 | Topological coefficient | 1.76E-01 | Eccentricity | 12 |
Download | Click to Download the Full PPI Network of This Target | ||||
Target Regulators | Top | |||||
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Target-regulating microRNAs | ||||||
Target-regulating Transcription Factors |
References | Top | |||||
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REF 1 | Clinical pipeline report, company report or official report of Adocia. | |||||
REF 2 | URL: http://www.guidetopharmacology.org Nucleic Acids Res. 2015 Oct 12. pii: gkv1037. The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands. (Ligand id: 5039). | |||||
REF 3 | ClinicalTrials.gov (NCT02236793) A Phase 3 Clinical Trial to Assess the Effectiveness of BioChaperone PDGF-BB In the Treatment of Chronic Diabetic Foot Ulcer. U.S. National Institutes of Health. | |||||
REF 4 | ClinicalTrials.gov (NCT01089517) A Safety and Efficacy Study of E10030 (Anti-PDGF Pegylated Aptamer) Plus Lucentis for Neovascular Age-Related Macular Degeneration. U.S. National Institutes of Health. | |||||
REF 5 | ClinicalTrials.gov (NCT00493051) Phase 2b Study of GAM501 in the Treatment of Diabetic Ulcers of the Lower Extremities. U.S. National Institutes of Health. | |||||
REF 6 | ClinicalTrials.gov (NCT01347190) Safety and Tolerability Study of Liquid Alpha1 Proteinase Inhibitor (API) in Subjects With Cystic Fibrosis. U.S. National Institutes of Health. | |||||
REF 7 | Aptamers as therapeutics. Nat Rev Drug Discov. 2010 Jul;9(7):537-50. | |||||
REF 8 | Treatment of nonhealing diabetic foot ulcers with a platelet-derived growth factor gene-activated matrix (GAM501): results of a phase 1/2 trial. Wound Repair Regen. 2009 Nov-Dec;17(6):772-9. | |||||
REF 9 | A phase I study of CR002, a fully-human monoclonal antibody against platelet-derived growth factor-D. Int J Clin Pharmacol Ther. 2008 May;46(5):236-44. |
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