| >Q68DY1 (140 residues) KPYKCEECDKAFKYSYTLTTHKRIHTEDKPYKCEECGKAFKYSSTLTTHKRIHTGEKPYK CEECGKAFKRSSDLTTHKIIHTGEKPYKCEECGKAFKYSSNLTTHKKIHTGERPYKCEEC GKAFNQSSILTTHRRIHTGE |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KPYKCEECDKAFKYSYTLTTHKRIHTEDKPYKCEECGKAFKYSSTLTTHKRIHTGEKPYKCEECGKAFKRSSDLTTHKIIHTGEKPYKCEECGKAFKYSSNLTTHKKIHTGERPYKCEECGKAFNQSSILTTHRRIHTGE |
| Prediction | CCCCCCCCCCSSCCCCCCHHHCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCHHHCCCCCCC |
| Confidence | 98457888765544223111002115889821687876434433420110223589981178887643543342100032358898117878765244233110103125899812787886434423312210233799 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KPYKCEECDKAFKYSYTLTTHKRIHTEDKPYKCEECGKAFKYSSTLTTHKRIHTGEKPYKCEECGKAFKRSSDLTTHKIIHTGEKPYKCEECGKAFKYSSNLTTHKKIHTGERPYKCEECGKAFNQSSILTTHRRIHTGE |
| Prediction | 75254744231033314144133313223314473413102342414413331321331447341310333240441333133233144734130033324044133313213314473413102231414413342468 |
| 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 | CCCCCCCCCCSSCCCCCCHHHCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCHHHCCCCCCC KPYKCEECDKAFKYSYTLTTHKRIHTEDKPYKCEECGKAFKYSSTLTTHKRIHTGEKPYKCEECGKAFKRSSDLTTHKIIHTGEKPYKCEECGKAFKYSSNLTTHKKIHTGERPYKCEECGKAFNQSSILTTHRRIHTGE | |||||||||||||||||||
| 1 | 5v3jE | 0.38 | 0.36 | 10.79 | 1.17 | DEthreader | REKPKCCGKAFR----Y-DTQLSLHLTHARFECKDCDKVYSCASQLALHQMSHTGEKPHKCK-ECGKGFIDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGD | |||||||||||||
| 2 | 5v3jE | 0.52 | 0.51 | 14.87 | 4.97 | SPARKS-K | KPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT-- | |||||||||||||
| 3 | 2i13A | 0.57 | 0.56 | 16.02 | 1.03 | MapAlign | KPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH--- | |||||||||||||
| 4 | 2i13A | 0.57 | 0.56 | 16.02 | 0.84 | CEthreader | KPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH--- | |||||||||||||
| 5 | 5v3jE | 0.52 | 0.52 | 15.08 | 3.40 | MUSTER | RRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGE | |||||||||||||
| 6 | 5v3jE | 0.52 | 0.51 | 14.87 | 1.61 | HHsearch | KPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT-- | |||||||||||||
| 7 | 5v3gD | 0.52 | 0.52 | 15.08 | 2.10 | FFAS-3D | KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 8 | 6wmiA | 0.41 | 0.41 | 11.98 | 1.25 | EigenThreader | LKCTVEGCDRTFVWPAHFKYHLKTHRNDRSFICPACGKSFYVLQRLKVHMRTHNGEKPFMCHECGKQFTTAGNLKNHRRIHTGEKPFLCEACGRSFAEYSSLRKHLVVHSGEKPHQCQVCGKTFSQSGSRNVHMRKHH-- | |||||||||||||
| 9 | 5v3mC | 0.51 | 0.51 | 14.69 | 7.18 | CNFpred | KPYKCQECGKAFPSNAQLSLHHRVHTDEKCFECKECGKAFMRPSHLLRHQRIHTGEKPHKCKECGKAFRYDTQLSLHLLTHAGARRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGE | |||||||||||||
| 10 | 2i13A | 0.53 | 0.50 | 14.44 | 1.17 | DEthreader | YKCPE-----CGKSFKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH--- | |||||||||||||
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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. |