| >Q6ZVK8 (141 residues) RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGL HCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHD ILHLVELAAQYRQQARHPLIL |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL |
| Prediction | CCCCCSSSSSSSSSCCCSSSSSSSCCCCCCCSSSCCSSSCCCCCCHHHHHHHHHHHHHCCSSSSCSSSSSSSCCCSSSSSSSSSSSSCCSSCCCCCCCCCSSSSSSSCHHHCCCCCCCCCHHHHHHHHHHHHHCCCCCCCC |
| Confidence | 997638999999974998999996489999948577136579999999999999997597999738999995898599999999991883257888986434456547888754545886899999999998569999509 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL |
| Prediction | 874120000000015743000011445546324112013024413233002200321141404153001012443220100010223434142666444313403614274036324454133004102513765512044 |
| 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 | CCCCCSSSSSSSSSCCCSSSSSSSCCCCCCCSSSCCSSSCCCCCCHHHHHHHHHHHHHCCSSSSCSSSSSSSCCCSSSSSSSSSSSSCCSSCCCCCCCCCSSSSSSSCHHHCCCCCCCCCHHHHHHHHHHHHHCCCCCCCC RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL | |||||||||||||||||||
| 1 | 3gg6A | 0.99 | 0.94 | 26.43 | 1.33 | DEthreader | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTKE-ADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQAR----- | |||||||||||||
| 2 | 3gg6A | 1.00 | 1.00 | 28.00 | 2.58 | SPARKS-K | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL | |||||||||||||
| 3 | 1su2A | 0.28 | 0.26 | 8.04 | 0.76 | MapAlign | -PVELRAAGVVLLNERGDILLVQEKGPEKAGLWHIPSGAVEDGENPQDAAVREACEETGLRVRPVKFLGAYLGGVLILRHVWLAEPEGQTLAPA--FTDEIAEASFVSREDFAGQIRMYQTKLFYADALREKGFPAL---- | |||||||||||||
| 4 | 3gg6A | 1.00 | 1.00 | 28.00 | 0.54 | CEthreader | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL | |||||||||||||
| 5 | 3gg6A | 1.00 | 1.00 | 28.00 | 2.26 | MUSTER | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL | |||||||||||||
| 6 | 3gg6A | 1.00 | 1.00 | 28.00 | 1.41 | HHsearch | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL | |||||||||||||
| 7 | 3gg6A | 1.00 | 1.00 | 28.00 | 2.39 | FFAS-3D | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL | |||||||||||||
| 8 | 3gg6A | 1.00 | 1.00 | 28.00 | 1.07 | EigenThreader | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL | |||||||||||||
| 9 | 3gg6A | 1.00 | 1.00 | 28.00 | 2.21 | CNFpred | RKNVCYVVLAVFLSEQDEVLLIQEAKRECRGSWYLPAGRMEPGETIVEALQREVKEEAGLHCEPETLLSVEERGPSWVRFVFLARPTGGILKTSKEADAESLQAAWYPRTSLPTPLRAHDILHLVELAAQYRQQARHPLIL | |||||||||||||
| 10 | 3cngC | 0.27 | 0.26 | 7.84 | 1.33 | DEthreader | YQNPKVIVGCIPEWE-NKVLLCKRAIAPYRGKWTLPAGF-ENNETLVQGAARETLEEANARVEIRELYAVYSLPISQVY-LFRAKLLDLDF-FP--GI-ESLEVRLFGEQEIPNDIAFRVIHDPLKRYEERHHGQPA-FHL | |||||||||||||
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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. |