The results are sorted from lowest E-value to highest E-value. Strong classifications have a low E-value. Weak classifications have an E-value greater than 0.0001. Weak hits are shown in gray. Weak hits are not shown on the domain architecture.
The family level classification is conditional on the domain being a member of the specified superfamily. There is a possibility that the selected domain is a member of a sub-family for which no structure has yet been solved.
| Sequence: |
ENSECAP00000014454 |
| Domain Number 1 |
Region: 423-654 |
| Classification Level |
Classification |
E-value |
| Superfamily |
GFP-like |
1.05e-92 |
| Family |
Domain G2 of nidogen-1 |
0.00000000136 |
| Further Details: |
|
| |
| Domain Number 2 |
Region: 937-1173 |
| Classification Level |
Classification |
E-value |
| Superfamily |
YWTD domain |
1.12e-46 |
| Family |
YWTD domain |
0.000000000949 |
| Further Details: |
|
| |
| Domain Number 3 |
Region: 805-913 |
| Classification Level |
Classification |
E-value |
| Superfamily |
Thyroglobulin type-1 domain |
2.09e-25 |
| Family |
Thyroglobulin type-1 domain |
0.00052 |
| Further Details: |
|
| |
| Domain Number 4 |
Region: 760-835,871-884,1194-1238 |
| Classification Level |
Classification |
E-value |
| Superfamily |
Growth factor receptor domain |
9.26e-16 |
| Family |
Growth factor receptor domain |
0.0068 |
| Further Details: |
|
| |
| Domain Number 5 |
Region: 379-420,665-746 |
| Classification Level |
Classification |
E-value |
| Superfamily |
Growth factor receptor domain |
0.00000000000000385 |
| Family |
Growth factor receptor domain |
0.014 |
| Further Details: |
|
| |
The top 10 most specific Gene Ontology terms for each namespace assigned to this domain architecture as determined by 
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Information Content (IC) is an information theoretic score measured in bits of how informative it is to assign a given ontological term to a domain archtecture. The higher the score the more informative it is to talk about the term given the domain architecture.
H-score (hypergeometric score) indicates the strength of assigning an ontological term to this domain architecture. Assignments with higher scores are of a better quality. Details for the methodology be found on the dcGO website.
| Molecular Function |
IC (bits) |
H-Score |
| Cellular Component |
IC (bits) |
H-Score |
| Biological Process |
IC (bits) |
H-Score |
