| >Q9UIA0 (144 residues) NDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEFTTDKEPRGIIPLENLSV QKVDDPKKPFCLELYNPSCRGQKIKACKTDGDGRVVEGKHESYRISATSAEERDQWIESI RASITRVPFYDLVSTRKKKIASKQ |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | NDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEFTTDKEPRGIIPLENLSVQKVDDPKKPFCLELYNPSCRGQKIKACKTDGDGRVVEGKHESYRISATSAEERDQWIESIRASITRVPFYDLVSTRKKKIASKQ |
| Prediction | CCCCCCCCCCCSSSSSSSSCCCCCCCSSSSSSSSCCSSSSSSCCCCCCCCCCSSCCCCSSSSCCCCCCCCSSSSSCCCCCCCCCCCCCCCCCCSSSCCCCSSSSSSSCCHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCC |
| Confidence | 963101268744578997168989836799999799999992788778876226697299991588997348995798765432223355663685069848999949999999999999999850864688998887876139 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | NDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEFTTDKEPRGIIPLENLSVQKVDDPKKPFCLELYNPSCRGQKIKACKTDGDGRVVEGKHESYRISATSAEERDQWIESIRASITRVPFYDLVSTRKKKIASKQ |
| Prediction | 863364144142432031335535513200000375202012464455242344045130441656744100202247454443442445443431435532112204347116530510340165344463245355546768 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCCCCCCCSSSSSSSSCCCCCCCSSSSSSSSCCSSSSSSCCCCCCCCCCSSCCCCSSSSCCCCCCCCSSSSSCCCCCCCCCCCCCCCCCCSSSCCCCSSSSSSSCCHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCC NDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEFTTDKEPRGIIPLENLSVQKVDDPKKPFCLELYNPSCRGQKIKACKTDGDGRVVEGKHESYRISATSAEERDQWIESIRASITRVPFYDLVSTRKKKIASKQ | |||||||||||||||||||
| 1 | 6bbpA | 0.74 | 0.69 | 19.69 | 1.33 | DEthreader | GDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEWMKSIKASI--S--RDPFY-ML-SVT--- | |||||||||||||
| 2 | 2r09A2 | 0.79 | 0.65 | 18.25 | 2.13 | SPARKS-K | --------NPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEW-KSIKASISR------------------ | |||||||||||||
| 3 | 6bbpA | 0.77 | 0.71 | 20.05 | 0.68 | MapAlign | ------FFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEWMKSIKASISRDPFYDMLATRKRR----- | |||||||||||||
| 4 | 6bbpA | 0.77 | 0.77 | 21.81 | 0.54 | CEthreader | NDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEWMKSIKASISRDPFYDMLATRKRRIANKK | |||||||||||||
| 5 | 6bbpA3 | 0.80 | 0.70 | 19.81 | 1.68 | MUSTER | NDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEWMKSIKASISR------------------ | |||||||||||||
| 6 | 6bbpA | 0.77 | 0.77 | 21.81 | 1.53 | HHsearch | NDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEWMKSIKASISRDPFYDMLATRKRRIANKK | |||||||||||||
| 7 | 2r09A2 | 0.77 | 0.62 | 17.69 | 1.79 | FFAS-3D | --------NPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEWKSIKA-SISR------------------ | |||||||||||||
| 8 | 6bbpA | 0.71 | 0.70 | 19.93 | 0.98 | EigenThreader | NDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEWMKSIKASI-SRDPFYDMLATRKRRIANK | |||||||||||||
| 9 | 4kaxB | 0.77 | 0.76 | 21.61 | 2.26 | CNFpred | NDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEWMKSIKASISRDPFYDMLATRKRRIAN-- | |||||||||||||
| 10 | 6bbpA3 | 0.79 | 0.69 | 19.44 | 1.17 | DEthreader | GDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEYTTDKEPRGIIPLENLSIREVEDPRKPNCFELYNPSHKGQVIKACKTEADGRVVEGNHVVYRISAPSPEEKEEWMKSIKASI--S--R-------------- | |||||||||||||
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Top 10 structural analogs in PDB (as identified by
TM-align)
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Top 5 enzyme homologs in PDB
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Template proteins with similar binding site:
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| References: | |
| 1. | Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023. |