Diaphorina citri psyllid: psy11588
Local Sequence Feature Prediction
| Prediction and Method | Result |
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Function Prediction
Annotation transfered from Closely Related SWISS-PROT Entries 
No confident close homologs for annotation transfering were detected in SWISSPROT
Prediction of Gene Ontology Terms 
GO Term ![]() | Description ![]() | Confidence Level ![]() | Parent GO Terms ![]() |
| GO:0005730 [CC] | nucleolus | probable | GO:0005575, GO:0043232, GO:0031981, GO:0043233, GO:0005634, GO:0044464, GO:0031974, GO:0005622, GO:0044446, GO:0070013, GO:0043229, GO:0043228, GO:0044428, GO:0005623, GO:0044424, GO:0043227, GO:0043226, GO:0044422, GO:0043231 |
| GO:0009987 [BP] | cellular process | probable | GO:0008150 |
Spatial Structural Prediction
Structural Models Based on Templates
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Template: 1UBD, chain C Confidence level:very confident Coverage over the Query: 320-428 View the alignment between query and template View the model in PyMOL |
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Template: 1UBD, chain C Confidence level:very confident Coverage over the Query: 348-456 View the alignment between query and template View the model in PyMOL |
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Template: 2I13, chain A Confidence level:very confident Coverage over the Query: 301-455 View the alignment between query and template View the model in PyMOL |
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Template: 2LT7, chain A Confidence level:very confident Coverage over the Query: 253-361 View the alignment between query and template View the model in PyMOL |
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Template: 2CTU, chain A Confidence level:very confident Coverage over the Query: 14-96 View the alignment between query and template View the model in PyMOL |
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Template: 2EL4, chain A Confidence level:confident Coverage over the Query: 170-215 View the alignment between query and template View the model in PyMOL |
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Template: 2D9K, chain A Confidence level:probable Coverage over the Query: 15-27,54-118 View the alignment between query and template View the model in PyMOL |
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Template: 2K5C, chain A Confidence level:probable Coverage over the Query: 91-147 View the alignment between query and template View the model in PyMOL |