| >Q9NPJ3 (140 residues) MTSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLT ATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDL TNKATGKLIAQGRHTKHLGN |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MTSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLGN |
| Prediction | CCCHHHHHHHHHHHHHCCCCHHHHHCCSSSSSSSCCSSSSSSSSCHHHCCCCCCSHHHHHHHHHHHHHHHHHHHCCCCCCSSSSSSSSSSSCCCCCCCSSSSSSSSSSCCCCSSSSSSSSSSCCCCSSSSSSSSSSSCCC |
| Confidence | 99643899999998642797789848859999859999999992967748899824999999999999999998499984899997888824789993999999999718959999999998899979999999999059 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MTSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLGN |
| Prediction | 86633640350054027653034102403034145530202030455122432210012100001300000010234633101120303113214544402030302444432010203023576330103032233358 |
| 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 | CCCHHHHHHHHHHHHHCCCCHHHHHCCSSSSSSSCCSSSSSSSSCHHHCCCCCCSHHHHHHHHHHHHHHHHHHHCCCCCCSSSSSSSSSSSCCCCCCCSSSSSSSSSSCCCCSSSSSSSSSSCCCCSSSSSSSSSSSCCC MTSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLGN | |||||||||||||||||||
| 1 | 3f5oA | 0.99 | 0.98 | 27.41 | 1.50 | DEthreader | T-SMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLG- | |||||||||||||
| 2 | 3f5oA | 1.00 | 0.99 | 27.60 | 2.68 | SPARKS-K | -TSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLG- | |||||||||||||
| 3 | 3f5oA | 1.00 | 0.98 | 27.40 | 0.74 | MapAlign | --SMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLG- | |||||||||||||
| 4 | 3f5oA | 1.00 | 0.99 | 27.60 | 0.51 | CEthreader | -TSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLG- | |||||||||||||
| 5 | 3f5oA | 1.00 | 0.99 | 27.60 | 2.22 | MUSTER | -TSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLG- | |||||||||||||
| 6 | 3f5oA | 1.00 | 0.99 | 27.60 | 1.40 | HHsearch | -TSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLG- | |||||||||||||
| 7 | 3f5oA | 1.00 | 0.99 | 27.60 | 2.63 | FFAS-3D | -TSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLG- | |||||||||||||
| 8 | 3f5oA | 1.00 | 0.99 | 27.60 | 0.92 | EigenThreader | -TSMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHLG- | |||||||||||||
| 9 | 2f0xA | 1.00 | 0.97 | 27.20 | 2.01 | CNFpred | --SMTQSLREVIKAMTKARNFERVLGKITLVSAAPGKVICEMKVEEEHTNAIGTLHGGLTATLVDNISTMALLCTERGAPGVSVDMNITYMSPAKLGEDIVITAHVLKQGKTLAFTSVDLTNKATGKLIAQGRHTKHL-- | |||||||||||||
| 10 | 3e1eC | 0.23 | 0.21 | 6.74 | 1.50 | DEthreader | -AGYAQKVRDSFARQ--P--VMATL-GARIDTLLPGRVELCMPYDRALTQQHGFLHAGIVSTVLDSACGYAAFSLMEEAAVLTVEFKVNFLNPAE-GERFAFRAEVVKPGRTLTVATATAYAFGEERAIATMTATLMALI | |||||||||||||
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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. |