| >Q969Y2 (138 residues) MWRGLWTLAAQAARGPRRLCTRRSSGAPAPGSGATIFALSSGQGRCGIAVIRTSGPASGH ALRILTAPRDLPLARHASLRLLSDPRSGEPLDRALVLWFPGPQSFTGEDCVEFHVHGGPA VVSGVLQALGSVPGLRPA |
| Sequence |
20 40 60 80 100 120 | | | | | | MWRGLWTLAAQAARGPRRLCTRRSSGAPAPGSGATIFALSSGQGRCGIAVIRTSGPASGHALRILTAPRDLPLARHASLRLLSDPRSGEPLDRALVLWFPGPQSFTGEDCVEFHVHGGPAVVSGVLQALGSVPGLRPA |
| Prediction | CCCCCCCCCCCCCCCCCCSCCCCCCCCCCCCCCCCSSSSCCCCCCCSSSSSSSSCHHHHHHHHHHHCCCCCCCCCSSSSSSSSSCCCCCSCCSSSSSSSCCCCCCCCCCSSSSSCCCCHHHHHHHHHHHHHCCCCCCC |
| Confidence | 977643467643468741203322467789999939998479988558999966368999999982767899875579997883899976233999996599988777579998279899999999999853797729 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 | | | | | | MWRGLWTLAAQAARGPRRLCTRRSSGAPAPGSGATIFALSSGQGRCGIAVIRTSGPASGHALRILTAPRDLPLARHASLRLLSDPRSGEPLDRALVLWFPGPQSFTGEDCVEFHVHGGPAVVSGVLQALGSVPGLRPA |
| Prediction | 725524524453454444234444444534555210000003436210000001164024004421456425533312222022376643011000000333422321220101013132004300520172660357 |
| 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 | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCCCCCCCCCCCCCCSCCCCCCCCCCCCCCCCSSSSCCCCCCCSSSSSSSSCHHHHHHHHHHHCCCCCCCCCSSSSSSSSSCCCCCSCCSSSSSSSCCCCCCCCCCSSSSSCCCCHHHHHHHHHHHHHCCCCCCC MWRGLWTLAAQAARGPRRLCTRRSSGAPAPGSGATIFALSSGQGRCGIAVIRTSGPASGHALRILTAPRDLPLARHASLRLLSDPRSGEPLDRALVLWFPGPQSFTGEDCVEFHVHGGPAVVSGVLQALGSVPGLRPA | |||||||||||||||||||
| 1 | 3gehA | 0.27 | 0.22 | 6.67 | 1.17 | DEthreader | --------------------------SHMAI-TGTIAAIATAIVQGSVGIVRVSGSQAIAIAQTLFDAKQVWESHRILYGYIRHPQTRQIVDEALLLLMKAPRSYTREDVVEFHCHGGIIAVQQVLQLCLESG-ARLA | |||||||||||||
| 2 | 3gehA1 | 0.28 | 0.22 | 6.87 | 3.09 | SPARKS-K | --------------------------GSHMAITGTIAAIATVPQQGSVGIVRVSGSQAIAIAQTLFDAKQVWESHRILYGYIRHPQTRQIVDEALLLLMKAPRSYTREDVVEFHCHGGIIAVQQVLQLCLES-GARLA | |||||||||||||
| 3 | 3gehA1 | 0.29 | 0.22 | 6.83 | 1.34 | MapAlign | -------------------------------ITGTIAAIATAIVPGSVGIVRVSGSQAIAIAQTLFDAPQVWESHRILYGYIRHPQTRQIVDEALLLLMKAPRSYTREDVVEFHCHGGIIAVQQVLQLCLES-GARLA | |||||||||||||
| 4 | 3gehA | 0.28 | 0.22 | 6.87 | 1.26 | CEthreader | --------------------------GSHMAITGTIAAIATAIQQGSVGIVRVSGSQAIAIAQTLFDAPQVWESHRILYGYIRHPQTRQIVDEALLLLMKAPRSYTREDVVEFHCHGGIIAVQQVLQLCLES-GARLA | |||||||||||||
| 5 | 1xzpA1 | 0.33 | 0.26 | 7.83 | 2.08 | MUSTER | --------------------------SSVDKLMDTIVAVATPPGKGAIAILRLSGPDSWKIVQKHLRTRSKIVPRKAIHGWIHE--NGEDVDEVVVVFYKSPKSYTGEDMVEVMCHGGPLVVKKLLDLFLKS-GARMA | |||||||||||||
| 6 | 3geiA | 0.32 | 0.26 | 7.85 | 4.31 | HHsearch | ------------------------SDLHLPVPGHPIAAIATPVGVGALAIVRISGAGVLDLADRVFRKVHEAAGYTAHFGRLYD--GEEMVDEVIALVFRAPRSFTAEQMVEFTCHGGPVVVGRVLRLMLDN-GCRLA | |||||||||||||
| 7 | 3gehA1 | 0.28 | 0.22 | 6.86 | 1.65 | FFAS-3D | ---------------------------SHMAITGTIAAIATAPQQGSVGIVRVSGSQAIAIAQTLFPGKQVWESHRILYGYIRHPQTRQIVDEALLLLMKAPRSYTREDVVEFHCHGGIIAVQQVLQLCLE-SGARLA | |||||||||||||
| 8 | 3geiA | 0.29 | 0.24 | 7.27 | 1.10 | EigenThreader | ------------------------SDLHLPVPGHPIAAIATPVGVGALAIVRISGAGVLDLADRVVHGSGEAAGYTAHFGRLYDG--EEMVDEVIALVFRAPRSFTAEQMVEFTCHGGPVVVGRVLRLMLDNGCRLAE | |||||||||||||
| 9 | 1xzpB | 0.35 | 0.26 | 7.78 | 1.50 | CNFpred | ---------------------------------DTIVAVATPPGKGAIAILRLSGPDSWKIVQKHLRTRSKIVPRKAIHGWIHEN--GEDVDEVVVVFYKSPKSYTGEDMVEVMCHGGPLVVKKLLDLFLK-SGARMA | |||||||||||||
| 10 | 3gehA1 | 0.27 | 0.22 | 6.67 | 1.17 | DEthreader | --------------------------SHMAI-TGTIAAIATAIVQGSVGIVRVSGSQAIAIAQTLFDAKQVWESHRILYGYIRHPQTRQIVDEALLLLMKAPRSYTREDVVEFHCHGGIIAVQQVLQLCLESG-ARLA | |||||||||||||
| ||||||||||||||||||||
|
Top 10 structural analogs in PDB (as identified by
TM-align)
|
|
Top 5 enzyme homologs in PDB
|
Template proteins with similar binding site:
|
| 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. |