| >Q9H974 (142 residues) FFPYQVTERGCALTFSFDYQPNPEETLLQQNGTQEEIKCMDQIKKIETTGCNQEITSFEI NLKEKKYQEDFNPLVRGCSCYCCKNHTRAYIHHLLVTNELLAGVLLMMHNFEHYFGFFHY IREALKSDKLAQLKELIHRQAS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | FFPYQVTERGCALTFSFDYQPNPEETLLQQNGTQEEIKCMDQIKKIETTGCNQEITSFEINLKEKKYQEDFNPLVRGCSCYCCKNHTRAYIHHLLVTNELLAGVLLMMHNFEHYFGFFHYIREALKSDKLAQLKELIHRQAS |
| Prediction | CCHHHHHHCCCSSSSSCCCCCCCCCCSSCCCCCCCCCCCCCSCCCCCCCCCCCCCCCSSSSSCCHHHHHCCCCCCCCCCCCCCCCCCHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHC |
| Confidence | 9736666549268866689999987022379863456774001234667776676423687424666108999899999944462369999999972836899999999999999999999999992999999999999849 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | FFPYQVTERGCALTFSFDYQPNPEETLLQQNGTQEEIKCMDQIKKIETTGCNQEITSFEINLKEKKYQEDFNPLVRGCSCYCCKNHTRAYIHHLLVTNELLAGVLLMMHNFEHYFGFFHYIREALKSDKLAQLKELIHRQAS |
| Prediction | 7203300421200201163237733221232343651421111321332330331443303033452553341016715143044223300210232423202210010013102400530261047541650154036548 |
| 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 | CCHHHHHHCCCSSSSSCCCCCCCCCCSSCCCCCCCCCCCCCSCCCCCCCCCCCCCCCSSSSSCCHHHHHCCCCCCCCCCCCCCCCCCHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHC FFPYQVTERGCALTFSFDYQPNPEETLLQQNGTQEEIKCMDQIKKIETTGCNQEITSFEINLKEKKYQEDFNPLVRGCSCYCCKNHTRAYIHHLLVTNELLAGVLLMMHNFEHYFGFFHYIREALKSDKLAQLKELIHRQAS | |||||||||||||||||||
| 1 | 6fv5A | 0.89 | 0.65 | 18.42 | 1.17 | DEthreader | FFPYQVTERGCALTFTFD------------------------------------TS-FEINLKEKKYQEDFDPLVRGCSCYCCKNHTRAYIHHLLMTNELLAGVLLMMHNFEHYFGFFCSIREALKNDTLAQLKELICRQMF | |||||||||||||
| 2 | 6fv5A2 | 0.86 | 0.65 | 18.25 | 3.44 | SPARKS-K | FFPYQVTERGCALTFTFDEMTSF-----------------------------------EINLKEKKYQEDFDPLVRGCSCYCCKNHTRAYIHHLLMTNELLAGVLLMMHNFEHYFGFFCSIREALKNDTLAQLKELICRQMF | |||||||||||||
| 3 | 6fv5A2 | 0.89 | 0.66 | 18.62 | 1.37 | MapAlign | -FPYQVTERGCALTFTF-----------------------------------DEMTSFEINLKEKKYQEDFDPLVRGCSCYCCKNHTRAYIHHLLMTNELLAGVLLMMHNFEHYFGFFCSIREALKNDTLAQLKELICRQMF | |||||||||||||
| 4 | 6fv5A | 0.89 | 0.67 | 18.82 | 1.52 | CEthreader | FFPYQVTERGCALTFTFDE-----------------------------------MTSFEINLKEKKYQEDFDPLVRGCSCYCCKNHTRAYIHHLLMTNELLAGVLLMMHNFEHYFGFFCSIREALKNDTLAQLKELICRQMF | |||||||||||||
| 5 | 6fv5A2 | 0.87 | 0.65 | 18.44 | 2.79 | MUSTER | FFPYQVTERGCALTFTFDEMTS-----------------------------------FEINLKEKKYQEDFDPLVRGCSCYCCKNHTRAYIHHLLMTNELLAGVLLMMHNFEHYFGFFCSIREALKNDTLAQLKELICRQMF | |||||||||||||
| 6 | 6fv5A | 0.89 | 0.67 | 18.82 | 3.78 | HHsearch | FFPYQVTERGCALTFTFDEM-----------------------------------TSFEINLKEKKYQEDFDPLVRGCSCYCCKNHTRAYIHHLLMTNELLAGVLLMMHNFEHYFGFFCSIREALKNDTLAQLKELICRQMF | |||||||||||||
| 7 | 6fv5A2 | 0.88 | 0.65 | 18.43 | 1.81 | FFAS-3D | FFPYQVTERGCALTFTFDEMTS-----------------------------------FEINLKEKKYQEDFDPLVRGCSCYCCKNHTRAYIHHLLMTNELLAGVLLMMHNFEHYFGFFCSIREALKNDTLAQLKELICRQM- | |||||||||||||
| 8 | 6fv5A2 | 0.88 | 0.65 | 18.43 | 1.17 | EigenThreader | FFPYQVTERGCALTFTFDEMTS-----------------------------------FEINLKEKKYQEDFDPLVRGCSCYCCKNHTRAYIHHLLMTNELLAGVLLMMHNFEHYFGFFCSIREALKNDTLAQLKELICRQ-M | |||||||||||||
| 9 | 2ashA | 0.34 | 0.24 | 7.18 | 1.47 | CNFpred | VFPTRIARHGTALTWN-----------------------------------------GKLNLKASYNKRSLEPVDERCGCYTCKNFTRSYIHHLFDRGEVLGQILLTIHNINFMISLMKEVRRSIESGTFKELKSKVVEVYS | |||||||||||||
| 10 | 6fv5A2 | 0.89 | 0.65 | 18.42 | 1.17 | DEthreader | FFPYQVTERGCALTFTFD------------------------------------TS-FEINLKEKKYQEDFDPLVRGCSCYCCKNHTRAYIHHLLMTNELLAGVLLMMHNFEHYFGFFCSIREALKNDTLAQLKELICRQMF | |||||||||||||
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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. |