| >Q9UKK6 (140 residues) MASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSE FFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQAS PSNTVWKIASDCFRFQDWAS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS |
| Prediction | CCCCCCCCCHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHCCCCSSSSCCCSCCCHHHHHHHHHHCCCCSSSSSSSSCCSCCCCCCCCCCSSSSSSSSSSSSCCCCCSSSSSSSSSSSCCCCCCCSSSSSSSSSSSCCCCC |
| Confidence | 99864222047999999999999999997199999986068968998990115999999999819993699988831024776777898799999879993998741568999998658899973899966876414569 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS |
| Prediction | 86556465426402500430043015313642640361137503121435425336303521561534514041110112355444442100000112042777443403100101234665642010100002233358 |
| 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 | CCCCCCCCCHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHCCCCSSSSCCCSCCCHHHHHHHHHHCCCCSSSSSSSSCCSCCCCCCCCCCSSSSSSSSSSSSCCCCCSSSSSSSSSSSCCCCCCCSSSSSSSSSSSCCCCC MASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS | |||||||||||||||||||
| 1 | 1jkgA | 1.00 | 0.98 | 27.40 | 1.50 | DEthreader | -ASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDW-- | |||||||||||||
| 2 | 1jkgA | 1.00 | 0.99 | 27.80 | 2.88 | SPARKS-K | -ASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS | |||||||||||||
| 3 | 1jkgA | 1.00 | 0.96 | 26.80 | 0.79 | MapAlign | ---VDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQD--- | |||||||||||||
| 4 | 1jkgA | 1.00 | 0.99 | 27.80 | 0.56 | CEthreader | -ASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS | |||||||||||||
| 5 | 1jkgA | 1.00 | 0.99 | 27.80 | 2.69 | MUSTER | -ASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS | |||||||||||||
| 6 | 1jkgA | 1.00 | 0.99 | 27.80 | 2.25 | HHsearch | -ASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS | |||||||||||||
| 7 | 1jkgA | 1.00 | 0.99 | 27.80 | 2.57 | FFAS-3D | -ASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS | |||||||||||||
| 8 | 1jkgA | 1.00 | 0.99 | 27.80 | 1.00 | EigenThreader | -ASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS | |||||||||||||
| 9 | 1jkgA | 1.00 | 0.99 | 27.80 | 1.99 | CNFpred | -ASVDFKTYVDQACRAAEEFVNVYYTTMDKRRRLLSRLYMGTATLVWNGNAVSGQESLSEFFEMLPSSEFQISVVDCQPVHDEATPSQTTVLVVICGSVKFEGNKQRDFNQNFILTAQASPSNTVWKIASDCFRFQDWAS | |||||||||||||
| 10 | 6mrkU | 0.41 | 0.39 | 11.35 | 1.50 | DEthreader | --DSDLKAKVESCARTADTFTRLYYASVDNRRQQIGRLYLDNATLSWNGNGAIGRQMIESYFQELPSSNHQLNTLDAQPIVDQAVSNQLAYLIMASGSVKFADQQLRKFQQTFIVTAE-N---DKWKVVSDCYRMQE--- | |||||||||||||
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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. |