Target Information

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Target General Information
Drugs and Modes of Action
Different Human System Profiles of Target
Chemical Structure based Activity Landscape of Target
Target Regulators
References
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 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
Protein Name Pfam ID Percentage of Identity (%) E value
Olfactory receptor 9A2 (OR9A2)
PF13853
29.008 (38/131) 1.41E-04
Olfactory receptor 4S1 (OR4S1)
PF13853
28.148 (38/135) 2.00E-03
Olfactory receptor 4A15 (OR4A15)
PF13853
21.557 (72/334) 2.00E-03
Olfactory receptor 4C13 (OR4C13)
PF13853
26.744 (46/172) 3.00E-03
Olfactory receptor 10A6 (OR10A6)
PF13853
24.664 (55/223) 3.00E-03
Olfactory receptor 1C1 (OR1C1)
PF13853
29.710 (41/138) 3.00E-03
Olfactory receptor 1L1 (OR1L1)
PF13853
27.642 (34/123) 4.00E-03
Olfactory receptor 5M10 (OR5M10)
PF13853
27.545 (46/167) 5.00E-03
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KEGG Pathway Pathway ID Affiliated Target Pathway Map
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
Chemokine signaling pathway hsa04062 Affiliated Target
  Class: Organismal Systems => Immune system Pathway Hierarchy
Degree 1 Degree centrality 1.07E-04 Betweenness centrality 0.00E+00
Closeness centrality 1.56E-01 Radiality 1.22E+01 Clustering coefficient 0.00E+00
Neighborhood connectivity 5.00E+00 Topological coefficient 1.00E+00 Eccentricity 13
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