| >Q96EY7 (147 residues) EYFEPQIKDISEAALKERIELRKVKASVDMFDQLLQAGTTVSLETTNSLLDLLCYYGDQE PSTDYHFQQTGQSEALEEENDETSRRKAGHQFGVTWRAKNNAERIFSLMPEKNEHSYCTM IRGMVKHRAYEQALNLYTELLNNRLHA |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EYFEPQIKDISEAALKERIELRKVKASVDMFDQLLQAGTTVSLETTNSLLDLLCYYGDQEPSTDYHFQQTGQSEALEEENDETSRRKAGHQFGVTWRAKNNAERIFSLMPEKNEHSYCTMIRGMVKHRAYEQALNLYTELLNNRLHA |
| Prediction | CCCCCCCCCCCHHHHHHHHHHCCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHCHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHCCCC |
| Confidence | 998975452469999999992997999999999999099997999999999999809964157789999999988887536621333567777887622699999996689864789999999998199999999999999919999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EYFEPQIKDISEAALKERIELRKVKASVDMFDQLLQAGTTVSLETTNSLLDLLCYYGDQEPSTDYHFQQTGQSEALEEENDETSRRKAGHQFGVTWRAKNNAERIFSLMPEKNEHSYCTMIRGMVKHRAYEQALNLYTELLNNRLHA |
| Prediction | 852536355032610440164440630150043037471613340121003000323555445542342343354146543444334234323321544620440065057633311010020004243264025105403756378 |
| 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 | CCCCCCCCCCCHHHHHHHHHHCCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHCHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHCCCC EYFEPQIKDISEAALKERIELRKVKASVDMFDQLLQAGTTVSLETTNSLLDLLCYYGDQEPSTDYHFQQTGQSEALEEENDETSRRKAGHQFGVTWRAKNNAERIFSLMPEKNEHSYCTMIRGMVKHRAYEQALNLYTELLNNRLHA | |||||||||||||||||||
| 1 | 4leuA | 0.09 | 0.08 | 3.14 | 1.33 | DEthreader | --FRLLK-LDMLAVIGELERQEETALAIKMFEVIQKQEYQPDVFMYKDLIVSLAKSKRMDEAMALWEKMKKENLFP----DSQTYT-EVIRGFLRDGCPADAMNVYEDMSDPEELPFRVLLKGLL--PHPLLRNKVKKDFEELFKPP | |||||||||||||
| 2 | 5iwwD | 0.18 | 0.17 | 5.56 | 1.64 | SPARKS-K | DEMPEKDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPDEFTFSSVLKACARLGALELGKQIHGYVIKSGFESN-----VVVYNALIDMYSKCGLLEEARKVFDEMPEKDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKP | |||||||||||||
| 3 | 5i9dA | 0.16 | 0.15 | 4.97 | 0.53 | MapAlign | -----PDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPD-----VVTYNTLIDGLCKAGKLDEALKLFEEMIKPDVVTYSTLIDGLCKAGKLDEALKLFEEMVEKGIKP | |||||||||||||
| 4 | 5i9dA | 0.16 | 0.16 | 5.19 | 0.44 | CEthreader | EKGIKPDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPD-----VVTYNTLIDGLCKAGKLDEALKLFEEMVKPDVVTYSTLIDGLCKAGKLDEALKLFEEMVEKGIKP | |||||||||||||
| 5 | 5iwwD | 0.18 | 0.17 | 5.56 | 1.31 | MUSTER | DEMPEKDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPDEFTFSSVLKACARLGALELGKQIHGYVIKSGFESN-----VVVYNALIDMYSKCGLLEEARKVFDEMPEKDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKP | |||||||||||||
| 6 | 5iwwD | 0.18 | 0.17 | 5.56 | 1.33 | HHsearch | DEMPEKDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPDEFTFSSVLKACARLGALELGKQIHGYVIKSGFESN-----VVVYNALIDMYSKCGLLEEARKVFDEMPEKDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKP | |||||||||||||
| 7 | 4m57A4 | 0.16 | 0.14 | 4.75 | 1.56 | FFAS-3D | ----PSWVIL-RTLVIANFKCRRLD-GETAFQEVKARGYNPDLVIFNSL--SIYAKNGYSKATEVFDSIK-RSGLSPDLITYNSLDYAKCSESWE--AEKILNQLKCSQTKPDVVSYNTVINGFCKQGLVKEAQRVLSEVAD----- | |||||||||||||
| 8 | 5i9dA | 0.16 | 0.15 | 5.00 | 0.67 | EigenThreader | -LRVAPTVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPD-----VVTYNTLIDGLCKAGKLDEALKLFEEMIKPDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKP | |||||||||||||
| 9 | 5iwwD | 0.18 | 0.17 | 5.56 | 1.17 | CNFpred | DEMPEKDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKPDEFTFSSVLKACARLGALELGKQIHGYVIKSGFESN-----VVVYNALIDMYSKCGLLEEARKVFDEMPEKDVVTYNTLIDGLCKAGKLDEALKLFEEMVEKGIKP | |||||||||||||
| 10 | 4wslA | 0.12 | 0.11 | 3.87 | 1.17 | DEthreader | EKGIVPSVVTYNTLISGLGKAGRLEEALELFEEMKEKGIVPSVVTYNTLISGLGKAGRLEEALELFEEMKEKGIVP----S---VV-TYNTLISGLKAREEALELFEEMKGIVPS-VVTYNTLISGLKAGR-LEEALELFEEMEKGP | |||||||||||||
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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. |