| >Q96E14 (147 residues) MAAAADSFSGGPAGVRLPRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWM QGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAV KMTDLSDNPIHESMWELEVEDLHRNIP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAAADSFSGGPAGVRLPRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNIP |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCSSSCCCCCCCCSSSSSSSSSSSSSSSSCCCSSSSCCCCSSSSSSCCCCCCCCCCCCCCCSSSSSSSSSSCCCCCCSSSSSSSSCCCCHHHHHHHHHHHHHHHHHCC |
| Confidence | 987666888886753368997288999999860237985201230412566501678888448999819917998799809998247666799766788289999889834997211478755457683478999999999997289 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAAADSFSGGPAGVRLPRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNIP |
| Prediction | 744546547544434635533003000310451664444323133443434414022010101013145441204154230204315423574411444210011122343554201411402303535434301411044036728 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCSSSCCCCCCCCSSSSSSSSSSSSSSSSCCCSSSSCCCCSSSSSSCCCCCCCCCCCCCCCSSSSSSSSSSCCCCCCSSSSSSSSCCCCHHHHHHHHHHHHHHHHHCC MAAAADSFSGGPAGVRLPRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNIP | |||||||||||||||||||
| 1 | 6lbuA | 0.10 | 0.09 | 3.29 | 1.17 | DEthreader | -SKH----PVFLTQLLPSYGKATSLTIRSIYKNLE---TSRKWNIFLY-L-NHPITSIKICGLVVGWKWAFWYIDDCSDTILCQCSKSLLANPLV-DSGWTLILTGLLDQER--VEFKVTQIEVVK-NLKHEIDFWSEAFDNQKELI | |||||||||||||
| 2 | 3mxnB | 1.00 | 0.89 | 24.95 | 3.19 | SPARKS-K | ----------------LPRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNIP | |||||||||||||
| 3 | 3mxnB | 1.00 | 0.88 | 24.57 | 0.82 | MapAlign | -----------------PRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNI- | |||||||||||||
| 4 | 3mxnB | 1.00 | 0.89 | 24.95 | 0.70 | CEthreader | ----------------LPRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNIP | |||||||||||||
| 5 | 3mxnB | 1.00 | 0.89 | 24.95 | 2.47 | MUSTER | ----------------LPRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNIP | |||||||||||||
| 6 | 3mxnB | 1.00 | 0.89 | 24.95 | 3.76 | HHsearch | ----------------LPRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNIP | |||||||||||||
| 7 | 3mxnB | 1.00 | 0.88 | 24.76 | 2.33 | FFAS-3D | -----------------PRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNIP | |||||||||||||
| 8 | 3kf8A | 0.14 | 0.13 | 4.44 | 0.98 | EigenThreader | LYPKTKIDWGPPFKQAPTFDKTIPLFISDINNADHLRHVVLVNN--------YPVNQINIFGKIVQYKESYVIISDFISKIRVRLSQEQFKEVGLTNYGKIVELEGEIYNWYPDRELKVSKITVLPDGLHFEFEQWKKRMEFRKNNL | |||||||||||||
| 9 | 3nbhB | 1.00 | 0.89 | 24.95 | 2.86 | CNFpred | ----------------LPRSPPLKVLAEQLRRDAEGGPGAWRLSRAAAGRGPLDLAAVWMQGRVVMADRGEARLRDPSGDFSVRGLERVPRGRPCLVPGKYVMVMGVVQACSPEPCLQAVKMTDLSDNPIHESMWELEVEDLHRNIP | |||||||||||||
| 10 | 6w6wC | 0.12 | 0.10 | 3.64 | 1.17 | DEthreader | --------ET-PSLLWGDPVAFAKLYIRDILDM------KESVPGVFL-YNGHPIKQVDVLGTVIGVREYSYGVDDSTGVINCICWKK-QIEQTKIEIGDTIRVRGSIRTYREEREIHATTYYKVDPVWNIQIARMLELPTIYRVYQ | |||||||||||||
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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. |