Target Information
Target General Information | Top | |||||
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Target ID |
T22658
(Former ID: TTDR00205)
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Target Name |
Interleukin-8 (IL8)
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Synonyms |
T-cell chemotactic factor; Protein 3-10C; Neutrophil-activating protein 1; NAP-1; Monocyte-derived neutrophil-activating peptide; Monocyte-derived neutrophil chemotactic factor; MONAP; MDNCF; IL8; IL-8; Granulocyte chemotactic protein 1; GCP-1; Emoctakin; Chemokine (C-X-C motif) ligand 8; C-X-C motif chemokine 8
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Gene Name |
CXCL8
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Target Type |
Successful target
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[1] | ||||
Disease | [+] 1 Target-related Diseases | + | ||||
1 | Pain [ICD-11: MG30-MG3Z] | |||||
Function |
IL-8 is a chemotactic factor that attracts neutrophils, basophils, and T-cells, but not monocytes. It is also involved in neutrophil activation. It is released from several cell types in response to an inflammatory stimulus. IL-8(6-77) has a 5-10-fold higher activity on neutrophil activation, IL-8(5-77) has increased activity on neutrophil activation and IL-8(7-77) has a higher affinity to receptors CXCR1 and CXCR2 as compared to IL-8(1-77), respectively.
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BioChemical Class |
Cytokine: interleukin
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UniProt ID | ||||||
Sequence |
MTSKLAVALLAAFLISAALCEGAVLPRSAKELRCQCIKTYSKPFHPKFIKELRVIESGPH
CANTEIIVKLSDGRELCLDPKENWVQRVVEKFLKRAENS Click to Show/Hide
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3D Structure | Click to Show 3D Structure of This Target | PDB | ||||
ADReCS ID | BADD_A00975 ; BADD_A05823 ; BADD_A05962 | |||||
HIT2.0 ID | T54CIF |
Drugs and Modes of Action | Top | |||||
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Approved Drug(s) | [+] 1 Approved Drugs | + | ||||
1 | Ibuprofen | Drug Info | Approved | Pain | [2], [3] | |
Clinical Trial Drug(s) | [+] 3 Clinical Trial Drugs | + | ||||
1 | ABX-IL8 | Drug Info | Phase 2 | Melanoma | [4] | |
2 | BMS-986253 | Drug Info | Phase 2 | Coronavirus Disease 2019 (COVID-19) | [5] | |
3 | MDX-018 | Drug Info | Phase 1 | Autoimmune diabetes | [6] | |
Mode of Action | [+] 2 Modes of Action | + | ||||
Inhibitor | [+] 8 Inhibitor drugs | + | ||||
1 | Ibuprofen | Drug Info | [1] | |||
2 | BMS-986253 | Drug Info | [8] | |||
3 | R-ketoprofen | Drug Info | [1] | |||
4 | 2-(2-(2,5-dichlorophenylamino)phenyl)acetic acid | Drug Info | [1] | |||
5 | 2-(2-(2-chlorophenoxy)phenyl)acetic acid | Drug Info | [1] | |||
6 | 2-(2-(2-chlorophenylamino)phenyl)acetic acid | Drug Info | [1] | |||
7 | 2-(2-(2-fluorophenoxy)phenyl)acetic acid | Drug Info | [1] | |||
8 | 2-(2-(2-fluorophenylamino)phenyl)acetic acid | Drug Info | [1] | |||
Modulator | [+] 1 Modulator drugs | + | ||||
1 | MDX-018 | Drug Info | [9] |
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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Cytokine-cytokine receptor interaction | hsa04060 | Affiliated Target |
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Class: Environmental Information Processing => Signaling molecules and interaction | Pathway Hierarchy | ||
Viral protein interaction with cytokine and cytokine receptor | hsa04061 | Affiliated Target |
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Class: Environmental Information Processing => Signaling molecules and interaction | Pathway Hierarchy | ||
Chemokine signaling pathway | hsa04062 | Affiliated Target |
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Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
NF-kappa B signaling pathway | hsa04064 | 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 | ||
Cellular senescence | hsa04218 | Affiliated Target |
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Class: Cellular Processes => Cell growth and death | Pathway Hierarchy | ||
Toll-like receptor signaling pathway | hsa04620 | Affiliated Target |
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Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
NOD-like receptor signaling pathway | hsa04621 | Affiliated Target |
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Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
RIG-I-like receptor signaling pathway | hsa04622 | Affiliated Target |
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Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
IL-17 signaling pathway | hsa04657 | Affiliated Target |
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Class: Organismal Systems => Immune system | Pathway Hierarchy | ||
Click to Show/Hide the Information of Affiliated Human Pathways |
Degree | 32 | Degree centrality | 3.44E-03 | Betweenness centrality | 1.65E-03 |
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Closeness centrality | 2.42E-01 | Radiality | 1.42E+01 | Clustering coefficient | 3.08E-01 |
Neighborhood connectivity | 3.75E+01 | Topological coefficient | 7.47E-02 | Eccentricity | 11 |
Download | Click to Download the Full PPI Network of This Target | ||||
Chemical Structure based Activity Landscape of Target | Top |
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Drug Property Profile of Target | Top | |
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(1) Molecular Weight (mw) based Drug Clustering | (2) Octanol/Water Partition Coefficient (xlogp) based Drug Clustering | |
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(3) Hydrogen Bond Donor Count (hbonddonor) based Drug Clustering | (4) Hydrogen Bond Acceptor Count (hbondacc) based Drug Clustering | |
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(5) Rotatable Bond Count (rotbonds) based Drug Clustering | (6) Topological Polar Surface Area (polararea) based Drug Clustering | |
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"RO5" indicates the cutoff set by lipinski's rule of five; "D123AB" colored in GREEN denotes the no violation of any cutoff in lipinski's rule of five; "D123AB" colored in PURPLE refers to the violation of only one cutoff in lipinski's rule of five; "D123AB" colored in BLACK represents the violation of more than one cutoffs in lipinski's rule of five |
Co-Targets | Top | |||||
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Co-Targets |
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-regulating Transcription Factors | ||||||
Target-interacting Proteins |
Target Profiles in Patients | Top | |||||
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Target Expression Profile (TEP) |
Target-Related Models and Studies | Top | |||||
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Target Validation |
References | Top | |||||
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REF 1 | Structure-Activity Relationship of novel phenylacetic CXCR1 inhibitors. Bioorg Med Chem Lett. 2009 Aug 1;19(15):4026-30. | |||||
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: 2713). | |||||
REF 3 | New drugs in development for the treatment of endometriosis. Expert Opin Investig Drugs. 2008 Aug;17(8):1187-202. | |||||
REF 4 | ClinicalTrials.gov (NCT00035828) A Blinded Study Comparing the Safety and Efficacy of a Fully Human Anti-IL8 Monoclonal Antibody (ABX-IL8) to Placebo in Patients With Chronic Bronchitis and COPD. U.S. National Institutes of Health. | |||||
REF 5 | ClinicalTrials.gov (NCT04347226) Anti-Interleukin-8 (Anti-IL-8) for Patients With COVID-19. U.S. National Institutes of Health. | |||||
REF 6 | Clinical pipeline report, company report or official report of Genmab. | |||||
REF 7 | Fully humanized neutralizing antibodies to interleukin-8 (ABX-IL8) inhibit angiogenesis, tumor growth, and metastasis of human melanoma. Am J Pathol. 2002 Jul;161(1):125-34. | |||||
REF 8 | Phase I trial of HuMax-IL8 (BMS-986253), an anti-IL-8 monoclonal antibody, in patients with metastatic or unresectable solid tumors. J Immunother Cancer. 2019 Sep 5;7(1):240. | |||||
REF 9 | Company report (Genmab) |
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