Target Information

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Target General Information
Different Human System Profiles of Target
Chemical Structure based Activity Landscape of Target
Target Poor or Non Binders
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).
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
Biological Network Descriptors
Protein Name Pfam ID Percentage of Identity (%) E value
Bone morphogenetic protein 1 (BMP1)
PF01400 ; 
PF00431 ; 
PF07645 ; 
PF14670
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 23.718 (37/156) 3.01E-05
Tolloid-like protein 1 (TLL1)
PF01400 ; 
PF00431 ; 
PF07645 ; 
PF14670
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 22.930 (36/157) 1.00E-03
Procollagen C-endopeptidase enhancer 1 (PCOLCE)
PF00431 ; 
PF01759
29.825 (34/114) 4.00E-03
CUB and sushi domain-containing protein 2 (CSMD2)
PF00431 ; 
PF00084
26.891 (32/119) 5.00E-03
Degree 1 Degree centrality 1.07E-04 Betweenness centrality 0.00E+00
Closeness centrality 1.55E-01 Radiality 1.22E+01 Clustering coefficient 0.00E+00
Neighborhood connectivity 8.00E+00 Topological coefficient 1.00E+00 Eccentricity 14
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