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: |
ENSGALP00000022972 |
| Domain Number 1 |
Region: 342-482 |
| Classification Level |
Classification |
E-value |
| Superfamily |
Growth factor receptor domain |
6.28e-17 |
| Family |
Growth factor receptor domain |
0.019 |
| Further Details: |
|
| |
| Domain Number 2 |
Region: 184-290 |
| Classification Level |
Classification |
E-value |
| Superfamily |
Growth factor receptor domain |
0.0000000000769 |
| Family |
Growth factor receptor domain |
0.019 |
| Further Details: |
|
| |
| Domain Number 3 |
Region: 480-538 |
| Classification Level |
Classification |
E-value |
| Superfamily |
EGF/Laminin |
0.0000000053 |
| Family |
EGF-type module |
0.008 |
| Further Details: |
|
| |
| Domain Number 4 |
Region: 307-356 |
| Classification Level |
Classification |
E-value |
| Superfamily |
EGF/Laminin |
0.000000481 |
| Family |
EGF-type module |
0.0062 |
| Further Details: |
|
| |
| Domain Number 5 |
Region: 525-567 |
| Classification Level |
Classification |
E-value |
| Superfamily |
EGF/Laminin |
0.0000329 |
| Family |
EGF-type module |
0.053 |
| 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 |
