Target Information

Target General Information

Target ID

T50699 (Former ID: TTDI02198)

Target Name

Lymphotoxin beta receptor (LTBR)

Synonyms

Tumor necrosis factor receptor type III; Tumor necrosis factor receptor superfamily member 3; Tumor necrosis factor receptor 2-related protein; Tumor necrosis factor C receptor; TNFRSF3; TNFR3; TNFR-III; TNFCR; TNF-RIII; Lymphotoxin-beta receptor; D12S370

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Gene Name

LTBR

Target Type

Clinical trial target

[1]

Disease

[+] 2 Target-related Diseases

Rheumatoid arthritis [ICD-11: FA20]

Solid tumour/cancer [ICD-11: 2A00-2F9Z]

Function

Promotes apoptosis via TRAF3 and TRAF5. May play a role in the development of lymphoid organs. Receptor for the heterotrimeric lymphotoxin containing LTA and LTB, and for TNFS14/LIGHT.

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BioChemical Class

Cytokine receptor

UniProt ID

TNR3_HUMAN

Sequence

MLLPWATSAPGLAWGPLVLGLFGLLAASQPQAVPPYASENQTCRDQEKEYYEPQHRICCS
RCPPGTYVSAKCSRIRDTVCATCAENSYNEHWNYLTICQLCRPCDPVMGLEEIAPCTSKR
KTQCRCQPGMFCAAWALECTHCELLSDCPPGTEAELKDEVGKGNNHCVPCKAGHFQNTSS
PSARCQPHTRCENQGLVEAAPGTAQSDTTCKNPLEPLPPEMSGTMLMLAVLLPLAFFLLL
ATVFSCIWKSHPSLCRKLGSLLKRRPQGEGPNPVAGSWEPPKAHPYFPDLVQPLLPISGD
VSPVSTGLPAAPVLEAGVPQQQSPLDLTREPQLEPGEQSQVAHGTNGIHVTGGSMTITGN
IYIYNGPVLGGPPGPGDLPATPEPPYPIPEEGDPGPPGLSTPHQEDGKAWHLAETEHCGA
TPSNRGPRNQFITHD

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3D Structure

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AlphaFold

Drugs and Modes of Action

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Clinical Trial Drug(s)

[+] 2 Clinical Trial Drugs

Baminercept

Drug Info

Phase 2

Rheumatoid arthritis

[1]

HCBE-11

Drug Info

Phase 1

Solid tumour/cancer

[2]

Mode of Action

[+] 1 Modes of Action

Antagonist

[+] 1 Antagonist drugs

Baminercept

Drug Info

[1]

Cell-based Target Expression Variations

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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 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

Different Human System Profiles of Target

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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

Protein Name	Pfam ID	Percentage of Identity (%)	E value
Tumor necrosis factor receptor superfamily member 19L (RELT)	PF12606	38.462 (30/78)	5.19E-04


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.

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
NF-kappa B signaling pathway	hsa04064	Affiliated Target
Class: Environmental Information Processing => Signal transduction	Pathway Hierarchy
HIF-1 signaling pathway	hsa04066	Affiliated Target
Class: Environmental Information Processing => Signal transduction	Pathway Hierarchy
Intestinal immune network for IgA production	hsa04672	Affiliated Target
Class: Organismal Systems => Immune system	Pathway Hierarchy

Degree	6	Degree centrality	6.45E-04	Betweenness centrality	1.68E-04
Closeness centrality	2.02E-01	Radiality	1.35E+01	Clustering coefficient	2.67E-01
Neighborhood connectivity	2.05E+01	Topological coefficient	2.45E-01	Eccentricity	11
Download	Click to Download the Full PPI Network of This Target