Diaphorina citri psyllid: psy3471
Local Sequence Feature Prediction
| Prediction and Method | Result |
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Function Prediction
Annotation transfered from Closely Related SWISS-PROT Entries 
Annotation ![]() | Function Description ![]() | Confidence Level ![]() | Reference Protein ![]() |
| UDP-glucose:glycoprotein glucosyltransferase 1 | Recognizes glycoproteins with minor folding defects. Reglucosylates single N-glycans near the misfolded part of the protein, thus providing quality control for protein folding in the endoplasmic reticulum. Reglucosylated proteins are recognized by calreticulin for recycling to the endoplasmic reticulum and refolding or degradation. | confident | Q6P5E4 |
| UDP-glucose:glycoprotein glucosyltransferase 1 | Recognizes glycoproteins with minor folding defects. Reglucosylates single N-glycans near the misfolded part of the protein, thus providing quality control for protein folding in the endoplasmic reticulum. Reglucosylated proteins are recognized by calreticulin for recycling to the endoplasmic reticulum and refolding or degradation. | confident | Q9JLA3 |
| UDP-glucose:glycoprotein glucosyltransferase | Selectively reglucosylates unfolded glycoproteins, thus providing quality control for protein transport out of the ER. Unfolded, denatured glycoproteins are substantially better substrates for glucosylation by this enzyme than are the corresponding native proteins. This protein and transient glucosylation may be involved in monitoring and/or assisting the folding and assembly of newly made glycoproteins, in order to identify glycoproteins that need assistance in folding from chaperones. | confident | Q09140 |
Prediction of Gene Ontology Terms 
Spatial Structural Prediction
Structural Models Based on Templates
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Template: 1G9R, chain A Confidence level:confident Coverage over the Query: 9-150 View the alignment between query and template View the model in PyMOL |
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Template: 1G9R, chain A Confidence level:confident Coverage over the Query: 175-227 View the alignment between query and template View the model in PyMOL |