| >Q8ND71 (144 residues) SLHALLLVIAIGHFTREDEETAKGIQQVFGAEARRHIIIVFTRKDDLGDDLLQDFIEKNK PLKQLVQDYEGRYCIFNNKTNSKDEQITQVLELLRKVESLVNTNGGPYHVNFKTEGSRFQ DCVNEAASQEGDKPQGPRERQLQS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | SLHALLLVIAIGHFTREDEETAKGIQQVFGAEARRHIIIVFTRKDDLGDDLLQDFIEKNKPLKQLVQDYEGRYCIFNNKTNSKDEQITQVLELLRKVESLVNTNGGPYHVNFKTEGSRFQDCVNEAASQEGDKPQGPRERQLQS |
| Prediction | CCSSSSSSSSCCCCCHHHHHHHHHHHHHHCHHHHHSSSSSSSCCCCCCCCCHHHHHHCCHHHHHHHHHHCCSSSSSSCCCCCCCHCHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCC |
| Confidence | 927999998788899999999999999968656751789997576678986999985698899999993993999848999840118999999999999999819999874789999999999999999999887189998619 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | SLHALLLVIAIGHFTREDEETAKGIQQVFGAEARRHIIIVFTRKDDLGDDLLQDFIEKNKPLKQLVQDYEGRYCIFNNKTNSKDEQITQVLELLRKVESLVNTNGGPYHVNFKTEGSRFQDCVNEAASQEGDKPQGPRERQLQS |
| Prediction | 830000000303322641450053027203650241000000132547754054117536403410540541000000235667444510450162035006627242024433544534543654355456545555554468 |
| 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 | CCSSSSSSSSCCCCCHHHHHHHHHHHHHHCHHHHHSSSSSSSCCCCCCCCCHHHHHHCCHHHHHHHHHHCCSSSSSSCCCCCCCHCHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCC SLHALLLVIAIGHFTREDEETAKGIQQVFGAEARRHIIIVFTRKDDLGDDLLQDFIEKNKPLKQLVQDYEGRYCIFNNKTNSKDEQITQVLELLRKVESLVNTNGGPYHVNFKTEGSRFQDCVNEAASQEGDKPQGPRERQLQS | |||||||||||||||||||
| 1 | 3lxwA | 0.37 | 0.30 | 8.86 | 1.17 | DEthreader | GPHALLLVTQLGRFTAQDQQAVRQVRDMFGEDVLKWMVIVFTRKEDLAGGSLHDYVNTNRALRELVAECGGRVCAFDNRA-TGREQEAQVEQLLGMVEGLVLEHKGAHYSNVYE-AQ--------------------------- | |||||||||||||
| 2 | 3zjcA | 0.32 | 0.32 | 9.62 | 1.85 | SPARKS-K | GPHAIVLVLQLGRYTEEEQKTVALIKAVFGKSAMKHMVILFTRKEELEGQSFHDFIADAVGLKSIVKECGNRCCAFSNSTS-KAEKESQVQELVELIEKMVQCNEGAYFSDDIYKDTEERLKQREEVLRKIYTDQLNEEIKLVE | |||||||||||||
| 3 | 3zjcA | 0.33 | 0.32 | 9.59 | 0.74 | MapAlign | GPHAIVLVLQLGRYTEEEQKTVALIKAVFGKSAMKHMVILFTRKEELEGQSFHDFIAADVGLKSIVKECGNRCCAFSNST-SKAEKESQVQELVELIEKMVQCNEGAYFSDDIYKDTEERLKQREEVLRKIYTDQLNEEI---- | |||||||||||||
| 4 | 3zjcA | 0.32 | 0.32 | 9.62 | 0.66 | CEthreader | GPHAIVLVLQLGRYTEEEQKTVALIKAVFGKSAMKHMVILFTRKEELEGQSFHDFIAADVGLKSIVKECGNRCCAFSNSTS-KAEKESQVQELVELIEKMVQCNEGAYFSDDIYKDTEERLKQREEVLRKIYTDQLNEEIKLVE | |||||||||||||
| 5 | 3zjcA | 0.31 | 0.31 | 9.24 | 1.75 | MUSTER | GPHAIVLVLQLGRYTEEEQKTVALIKAVFGKSAMKHMVILFTRKEELEGQSFHDFIADDVGLKSIVKECGNRCCAFSNSTSK-AEKESQVQELVELIEKMVQCNEGAYFSDDIYKDTEERLKQREEVLRKIYTDQLNEEEEDKH | |||||||||||||
| 6 | 3zjcA | 0.30 | 0.30 | 9.06 | 2.75 | HHsearch | GPHAIVLVLQLGRYTEEEQKTVALIKAVFGKSAMKHMVILFTRKEELEGQSFHDFIADDVGLKSIVKECGNRCCAFSNSTSK-AEKESQVQELVELIEKMVQCNEGAYFSDDIYKDTEERLKQREEVLRKIEEDKEEKEKEIKL | |||||||||||||
| 7 | 3lxwA | 0.34 | 0.31 | 9.35 | 1.53 | FFAS-3D | GPHALLLVTQLGRFTAQDQQAVRQVRDMFGEDVLKWMVIVFTRKEDLAGGSLHDYVSNNRALRELVAECGGRVCAFDNRAT-GREQEAQVEQLLGMVEGLVLEHKGAHYSNEVYELAQVLRWPEERLRRVAER----------- | |||||||||||||
| 8 | 3zjcA | 0.29 | 0.28 | 8.68 | 0.88 | EigenThreader | GPHAIVLVLQLGRYTEEEQKTVALIKAVFGKSAMKHMVILFTRKEELEGQSFHDFIADADGLKSIVKECGNRCCAFSNSTSKAEKESQVQE-LVELIEKMVQCNEGAYFSDDIYKDTEERLKQREEVLRKIYTDQLNEEIKLVE | |||||||||||||
| 9 | 3zjcA | 0.32 | 0.32 | 9.62 | 1.17 | CNFpred | GPHAIVLVLQLGRYTEEEQKTVALIKAVFGKSAMKHMVILFTRKEELEGQSFHDFIADDVGLKSIVKECGNRCCAFSNS-TSKAEKESQVQELVELIEKMVQCNEGAYFSDDIYKDTEERLKQREEVLRKIYTDQLNEEIKLVE | |||||||||||||
| 10 | 3zjcA | 0.38 | 0.30 | 8.85 | 1.17 | DEthreader | GPHAIVLVLQLGRYTEEEQKTVALIKAVFGKSAMKHMVILFTRKEELEGQSFHDFIAADVGLKSIVKECGNRCCAFSNST-SKAEKESQVQELVELIEKMVQCNEGAYFSYKTE-L---------------------------- | |||||||||||||
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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. |