Target Information
Target General Information | Top | |||||
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Target ID |
T01283
(Former ID: TTDI02200)
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Target Name |
Tumor susceptibility gene protein 101 (TSG101)
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Synonyms |
Tumor susceptibility gene 101 protein; ESCRT-I complex subunit TSG101
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Gene Name |
TSG101
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Target Type |
Clinical trial target
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[1] | ||||
Disease | [+] 1 Target-related Diseases | + | ||||
1 | Influenza [ICD-11: 1E30-1E32] | |||||
Function |
Binds to ubiquitinated cargo proteins and is required for the sorting of endocytic ubiquitinated cargos into multivesicular bodies (MVBs). Mediates the association between the ESCRT-0 and ESCRT-I complex. Required for completion of cytokinesis; the function requires CEP55. May be involved in cell growth and differentiation. Acts as a negative growth regulator. Involved in the budding of many viruses through an interaction with viral proteins that contain a late-budding motif P-[ST]-A-P. This interaction is essential for viral particle budding of numerous retroviruses. Required for the exosomal release of SDCBP, CD63 and syndecan. It may also play a role in the extracellular release of microvesicles that differ from the exosomes. Component of the ESCRT-I complex, a regulator of vesicular trafficking process.
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BioChemical Class |
Ubiquitin-conjugating enzyme
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UniProt ID | ||||||
Sequence |
MAVSESQLKKMVSKYKYRDLTVRETVNVITLYKDLKPVLDSYVFNDGSSRELMNLTGTIP
VPYRGNTYNIPICLWLLDTYPYNPPICFVKPTSSMTIKTGKHVDANGKIYLPYLHEWKHP QSDLLGLIQVMIVVFGDEPPVFSRPISASYPPYQATGPPNTSYMPGMPGGISPYPSGYPP NPSGYPGCPYPPGGPYPATTSSQYPSQPPVTTVGPSRDGTISEDTIRASLISAVSDKLRW RMKEEMDRAQAELNALKRTEEDLKKGHQKLEEMVTRLDQEVAEVDKNIELLKKKDEELSS ALEKMENQSENNDIDEVIIPTAPLYKQILNLYAEENAIEDTIFYLGEALRRGVIDLDVFL KHVRLLSRKQFQLRALMQKARKTAGLSDLY 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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Clinical Trial Drug(s) | [+] 1 Clinical Trial Drugs | + | ||||
1 | FGI-101-1A6 | Drug Info | Phase 1 | Influenza virus infection | [1] |
Cell-based Target Expression Variations | Top | |||||
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Cell-based Target Expression Variations |
Drug Binding Sites of Target | Top | |||||
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Ligand Name: 4-methoxy-1-(5-methoxy-3H-imidazo[4,5-b]pyridin-2-yl)-3,5-dimethyl-2-(sulfanylmethyl)pyridin-1-ium | Ligand Info | |||||
Structure Description | Solution-state NMR structural ensemble of human Tsg101 UEV in complex with tenatoprazole | PDB:5VKG | ||||
Method | Solution NMR | Resolution | N.A. | Mutation | Yes | [2] |
PDB Sequence |
AVSESQLKKM
11 VSKYKYRDLT21 VRETVNVITL31 YKDLKPVLDS41 YVFNDGSSRE51 LMNLTGTIPV 61 PYRGNTYNIP71 ICLWLLDTYP81 YNPPICFVKP91 TSSMTIKTGK101 HVDANGKIYL 111 PYLHEWKHPQ121 SDLLGLIQVM131 IVVFGDEPPV141 FSRP
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Click to View More Binding Site Information of This Target with Different Ligands |
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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Centriolin (CNTRL) | 28.421 (27/95) | 3.00E-03 |
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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Viral life cycle - HIV-1 | hsa03250 | Affiliated Target |
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Class: Genetic Information Processing => Information processing in viruses | Pathway Hierarchy | ||
Endocytosis | hsa04144 | Affiliated Target |
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Class: Cellular Processes => Transport and catabolism | Pathway Hierarchy |
Degree | 34 | Degree centrality | 3.65E-03 | Betweenness centrality | 5.08E-03 |
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Closeness centrality | 2.47E-01 | Radiality | 1.43E+01 | Clustering coefficient | 2.87E-01 |
Neighborhood connectivity | 4.12E+01 | Topological coefficient | 6.39E-02 | Eccentricity | 12 |
Download | Click to Download the Full PPI Network of This Target | ||||
Chemical Structure based Activity Landscape of Target | Top |
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Target Poor or Non Binders | Top | |||||
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Target Poor or Non Binders |
Target Regulators | Top | |||||
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Target-regulating microRNAs | ||||||
Target-interacting Proteins |
Target Affiliated Biological Pathways | Top | |||||
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KEGG Pathway | [+] 1 KEGG Pathways | + | ||||
1 | Endocytosis | |||||
PID Pathway | [+] 2 PID Pathways | + | ||||
1 | Glucocorticoid receptor regulatory network | |||||
2 | Internalization of ErbB1 | |||||
Reactome | [+] 2 Reactome Pathways | + | ||||
1 | Budding and maturation of HIV virion | |||||
2 | Membrane binding and targetting of GAG proteins | |||||
WikiPathways | [+] 2 WikiPathways | + | ||||
1 | HIV Life Cycle | |||||
2 | Membrane Trafficking |
References | Top | |||||
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REF 1 | ClinicalTrials.gov (NCT01299142) Safety and Pharmacokinetics Study of Human Monoclonal Antibody (FGI-101-1A6). U.S. National Institutes of Health. | |||||
REF 2 | Tsg101 chaperone function revealed by HIV-1 assembly inhibitors. Nat Commun. 2017 Nov 9;8(1):1391. |
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