| >Q96MR9 (143 residues) IKPYKCKHCGKTFTVPSGFLEHVRTHTGEKPYGCKECGKAFGTSAGLIEHIRCHAREKTF KCDHCGKAFISYPSLFGHLRVHNGEKPYEHKEYGKAFGTSSGVIEDRRSNTGQKRFDCDQ CGKVFVSFSSLFAHLRTHTGEKP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | IKPYKCKHCGKTFTVPSGFLEHVRTHTGEKPYGCKECGKAFGTSAGLIEHIRCHAREKTFKCDHCGKAFISYPSLFGHLRVHNGEKPYEHKEYGKAFGTSSGVIEDRRSNTGQKRFDCDQCGKVFVSFSSLFAHLRTHTGEKP |
| Prediction | CCCCCCCCCCCSSCCCCCCCCSSCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCCCCCCCCCSSCCCCCCHHHHCCCCCCCC |
| Confidence | 98831588876534433420122220588882178887652444442013221258888037988765344433010112215899813788886424533321021212589982378777653342330221023379797 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | IKPYKCKHCGKTFTVPSGFLEHVRTHTGEKPYGCKECGKAFGTSAGLIEHIRCHAREKTFKCDHCGKAFISYPSLFGHLRVHNGEKPYEHKEYGKAFGTSSGVIEDRRSNTGQKRFDCDQCGKVFVSFSSLFAHLRTHTGEKP |
| Prediction | 74424473422102231414413231321332447632210334241441323133433263674212033424044132313443315174413202332404413331321331447341310233241441323136648 |
| 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 | CCCCCCCCCCCSSCCCCCCCCSSCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCCCCCCCCCSSCCCCCCHHHHCCCCCCCC IKPYKCKHCGKTFTVPSGFLEHVRTHTGEKPYGCKECGKAFGTSAGLIEHIRCHAREKTFKCDHCGKAFISYPSLFGHLRVHNGEKPYEHKEYGKAFGTSSGVIEDRRSNTGQKRFDCDQCGKVFVSFSSLFAHLRTHTGEKP | |||||||||||||||||||
| 1 | 2i13A | 0.37 | 0.34 | 9.97 | 1.17 | DEthreader | KPYKC-P--ECGKSFKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEK-PYK-PEGKSFSR-RDALNV--Q------ | |||||||||||||
| 2 | 5v3gD | 0.46 | 0.46 | 13.46 | 5.06 | SPARKS-K | EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKP | |||||||||||||
| 3 | 5v3gD | 0.45 | 0.45 | 13.08 | 1.03 | MapAlign | EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGERN | |||||||||||||
| 4 | 5v3gD | 0.46 | 0.46 | 13.46 | 0.84 | CEthreader | EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKP | |||||||||||||
| 5 | 5v3jE | 0.41 | 0.41 | 11.95 | 3.35 | MUSTER | ARRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKP | |||||||||||||
| 6 | 5v3jE | 0.41 | 0.41 | 11.95 | 1.61 | HHsearch | ARRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKP | |||||||||||||
| 7 | 5v3gD | 0.46 | 0.46 | 13.45 | 2.13 | FFAS-3D | -KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKP | |||||||||||||
| 8 | 5v3jE | 0.46 | 0.45 | 13.06 | 1.30 | EigenThreader | EKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT---- | |||||||||||||
| 9 | 5v3gA | 0.46 | 0.46 | 13.46 | 5.65 | CNFpred | EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKP | |||||||||||||
| 10 | 5t0uA | 0.30 | 0.25 | 7.65 | 1.17 | DEthreader | -THKC-H--LCGRAFVTLLRNHLNTHTGTRPHKCPDCDMAFVTSGELVRHRRYHTHEKPFKCSMCDYASVEVSKLKRHIRSHTGERPFQCSLCSYASRDTYKLKRHMRTHSGEKPYE----HARFTQ-SG--K---------- | |||||||||||||
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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. |