Target Information
Target General Information | Top | |||||
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Target ID |
T08306
(Former ID: TTDNC00634)
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Target Name |
B-cell-specific glycoprotein B29 (CD79B)
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Synonyms |
Immunoglobulinassociated B29 protein; Immunoglobulin-associated B29 protein; Igbeta; Ig-beta; IGB; CD79b; Bcellspecific glycoprotein B29; Bcell antigen receptor complexassociated protein beta chain; B29; B-cell antigen receptor complex-associated protein beta chain
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Gene Name |
CD79B
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Target Type |
Successful target
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[1] | ||||
Disease | [+] 1 Target-related Diseases | + | ||||
1 | Diffuse large B-cell lymphoma [ICD-11: 2A81] | |||||
Function |
Enhances phosphorylation of CD79A, possibly by recruiting kinases which phosphorylate CD79A or by recruiting proteins which bind to CD79A and protect it from dephosphorylation. Required in cooperation with CD79A for initiation of the signal transduction cascade activated by the B-cell antigen receptor complex (BCR) which leads to internalization of the complex, trafficking to late endosomes and antigen presentation.
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BioChemical Class |
Immunoglobulin
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UniProt ID | ||||||
Sequence |
MARLALSPVPSHWMVALLLLLSAEPVPAARSEDRYRNPKGSACSRIWQSPRFIARKRGFT
VKMHCYMNSASGNVSWLWKQEMDENPQQLKLEKGRMEESQNESLATLTIQGIRFEDNGIY FCQQKCNNTSEVYQGCGTELRVMGFSTLAQLKQRNTLKDGIIMIQTLLIILFIIVPIFLL LDKDDSKAGMEEDHTYEGLDIDQTATYEDIVTLRTGEVKWSVGEHPGQE Click to Show/Hide
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3D Structure | Click to Show 3D Structure of This Target | AlphaFold |
Drugs and Modes of Action | Top | |||||
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Approved Drug(s) | [+] 1 Approved Drugs | + | ||||
1 | Polatuzumab vedotin | Drug Info | Approved | Diffuse large B-cell lymphoma | [2] | |
Clinical Trial Drug(s) | [+] 3 Clinical Trial Drugs | + | ||||
1 | DCDS-4501A | Drug Info | Phase 2 | Diffuse large B-cell lymphoma | [4] | |
2 | RG7596 | Drug Info | Phase 2 | Haematological malignancy | [4] | |
3 | MGD010 | Drug Info | Phase 1 | Autoimmune disease | [5] | |
Mode of Action | [+] 1 Modes of Action | + | ||||
Modulator | [+] 2 Modulator drugs | + | ||||
1 | RG7596 | Drug Info | [7] | |||
2 | MGD010 | Drug Info | [5] |
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 Tissue Distribution
of target is determined from a proteomics study that quantified more than 12,000 genes across 32 normal human tissues. Tissue Specificity (TS) score was used to define the enrichment of target across tissues.
The distribution of targets among different tissues or organs need to be taken into consideration when assessing the target druggability, as it is generally accepted that the wider the target distribution, the greater the concern over potential adverse effects
(Nat Rev Drug Discov, 20: 64-81, 2021).
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 Tissue Distribution
Human Pathway Affiliation
Biological Network Descriptors
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Protein Name | Pfam ID | Percentage of Identity (%) | E value |
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B-cell antigen receptor complex-associated protein alpha chain (CD79A) | 28.571 (52/182) | 2.21E-10 |
Note:
If a protein has TS (tissue specficity) scores at least in one tissue >= 2.5, this protein is called tissue-enriched (including tissue-enriched-but-not-specific and tissue-specific). In the plots, the vertical lines are at thresholds 2.5 and 4.
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KEGG Pathway | Pathway ID | Affiliated Target | Pathway Map |
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B cell receptor signaling pathway | hsa04662 | Affiliated Target |
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Class: Organismal Systems => Immune system | Pathway Hierarchy |
Degree | 17 | Degree centrality | 1.83E-03 | Betweenness centrality | 1.16E-04 |
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Closeness centrality | 2.24E-01 | Radiality | 1.39E+01 | Clustering coefficient | 3.53E-01 |
Neighborhood connectivity | 2.41E+01 | Topological coefficient | 1.16E-01 | Eccentricity | 11 |
Download | Click to Download the Full PPI Network of This Target | ||||
Target Affiliated Biological Pathways | Top | |||||
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KEGG Pathway | [+] 1 KEGG Pathways | + | ||||
1 | B cell receptor signaling pathway | |||||
NetPath Pathway | [+] 2 NetPath Pathways | + | ||||
1 | IL4 Signaling Pathway | |||||
2 | Leptin Signaling Pathway | |||||
Panther Pathway | [+] 1 Panther Pathways | + | ||||
1 | B cell activation | |||||
PID Pathway | [+] 1 PID Pathways | + | ||||
1 | BCR signaling pathway | |||||
Reactome | [+] 1 Reactome Pathways | + | ||||
1 | Antigen activates B Cell Receptor (BCR) leading to generation of second messengers | |||||
WikiPathways | [+] 2 WikiPathways | + | ||||
1 | Signaling by the B Cell Receptor (BCR) | |||||
2 | B Cell Receptor Signaling Pathway |
References | Top | |||||
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REF 1 | Safety and activity of the anti-CD79B antibody-drug conjugate polatuzumab vedotin in relapsed or refractory B-cell non-Hodgkin lymphoma and chronic lymphocytic leukaemia: a phase 1 study. Lancet Oncol. 2015 Jun;16(6):704-15. | |||||
REF 2 | Drugs@FDA. U.S. Food and Drug Administration. U.S. Department of Health Human Services. 2019 | |||||
REF 3 | ClinicalTrials.gov (NCT04659044) Polatuzumab Vedotin, Venetoclax, and Rituximab and Hyaluronidase Human for the Treatment of Relapsed or Refractory Mantle Cell Lymphoma. U.S. National Institutes of Health. | |||||
REF 4 | Trusted, scientifically sound profiles of drug programs, clinical trials, safety reports, and company deals, written by scientists. Springer. 2015. Adis Insight (drug id 800034127) | |||||
REF 5 | Clinical pipeline report, company report or official report of the Pharmaceutical Research and Manufacturers of America (PhRMA) | |||||
REF 6 | Marine-Sourced Anti-Cancer and Cancer Pain Control Agents in Clinical and Late Preclinical Development. Mar Drugs. 2014 January; 12(1): 255-278. | |||||
REF 7 | 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. (Target id: 2852). |
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