| >Q00653 (143 residues) LTPPSPAGPGLSLGDTALQNLEQLLDGPEAQGSWAELAERLGLRSLVDTYRQTTSPSGSL LRSYELAGGDLAGLLEALSDMGLEEGVRLLRGPETRDKLPSTAEVKEDSAYGSQSVEQEA EKLGPPPEPPGGLCHGHPQPQVH |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LTPPSPAGPGLSLGDTALQNLEQLLDGPEAQGSWAELAERLGLRSLVDTYRQTTSPSGSLLRSYELAGGDLAGLLEALSDMGLEEGVRLLRGPETRDKLPSTAEVKEDSAYGSQSVEQEAEKLGPPPEPPGGLCHGHPQPQVH |
| Prediction | CCCCCCCCCHHHCCHHHHHHHHHHHCCCCCCCCHHHHHHHHCCHHHHHHHHCCCCHHHHHHHHHHCCCCCHHHHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 99999988613499999999999828988999899999990966999999529997999999985169999999999999297899999971244323577421013578888735555541489999988777888787789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LTPPSPAGPGLSLGDTALQNLEQLLDGPEAQGSWAELAERLGLRSLVDTYRQTTSPSGSLLRSYELAGGDLAGLLEALSDMGLEEGVRLLRGPETRDKLPSTAEVKEDSAYGSQSVEQEAEKLGPPPEPPGGLCHGHPQPQVH |
| Prediction | 74464574434504560143015203475565303300440414302521564520033004305367240530150046063630141046253576455445454644243541453276363563464523544646448 |
| 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 | CCCCCCCCCHHHCCHHHHHHHHHHHCCCCCCCCHHHHHHHHCCHHHHHHHHCCCCHHHHHHHHHHCCCCCHHHHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCCCCCC LTPPSPAGPGLSLGDTALQNLEQLLDGPEAQGSWAELAERLGLRSLVDTYRQTTSPSGSLLRSYELAGGDLAGLLEALSDMGLEEGVRLLRGPETRDKLPSTAEVKEDSAYGSQSVEQEAEKLGPPPEPPGGLCHGHPQPQVH | |||||||||||||||||||
| 1 | 1vt4I | 0.06 | 0.04 | 1.88 | 1.00 | DEthreader | ---MD--FETGEHQYQYKDILSVFE-DAFVDNFDCKDVQDMKLKEEIDHIIMSDAGTLRLFWTLLSKQEMVQKFVEEVLRINYKFLMSPIKTE-QRQPTR-----------KYKYLDIRDGLADN------------------ | |||||||||||||
| 2 | 2dbfA | 0.29 | 0.20 | 6.17 | 2.04 | SPARKS-K | -GSSGSSGDMKQLAEDVKLQLYKLLEIPDPDKNWATLAQKLGLGILNNAFRLSPAPSKTLMDNYEVSGGTVRELVEALRQMGYTEAIEVIQAASSSGPSSG------------------------------------------ | |||||||||||||
| 3 | 1d2zD | 0.16 | 0.10 | 3.50 | 1.13 | MapAlign | -SKYSRNTELRRVEDNDIYRLAKILD---ENSCWRKLMSIIKYAQDVFQIDEAASKSQMMIDEWKTSRPTVGVLLQLLVQAELFSAADFVALDFLNESTP------------------------------------------- | |||||||||||||
| 4 | 2dbfA | 0.29 | 0.20 | 6.17 | 0.98 | CEthreader | -GSSGSSGDMKQLAEDVKLQLYKLLEIPDPDKNWATLAQKLGLGILNNAFRLSPAPSKTLMDNYEVSGGTVRELVEALRQMGYTEAIEVIQAASSSGPSSG------------------------------------------ | |||||||||||||
| 5 | 2d96A | 0.88 | 0.67 | 18.89 | 1.71 | MUSTER | -GSSGSSGPGLSLGDTALQNLEQLLDGPEAQGSWAELAERLGLRSLVDTYRQTTSPSGSLLRSYELAGGDLAGLLEALSDMGLEEGVRLLRGPETRDKLPSTEVSGPSSG--------------------------------- | |||||||||||||
| 6 | 2d96A | 0.90 | 0.69 | 19.27 | 2.45 | HHsearch | -GSSGSSGPGLSLGDTALQNLEQLLDGPEAQGSWAELAERLGLRSLVDTYRQTTSPSGSLLRSYELAGGDLAGLLEALSDMGLEEGVRLLRGPETRDKLPST----EVSGPSSG----------------------------- | |||||||||||||
| 7 | 2d96A | 0.89 | 0.67 | 18.88 | 1.54 | FFAS-3D | --SSGSSGPGLSLGDTALQNLEQLLDGPEAQGSWAELAERLGLRSLVDTYRQTTSPSGSLLRSYELAGGDLAGLLEALSDMGLEEGVRLLRGPETRDKLPSTEVSGPSSG--------------------------------- | |||||||||||||
| 8 | 2d96A | 0.81 | 0.62 | 17.38 | 1.08 | EigenThreader | -GSSGSSGPGLSLGDTALQNLEQLLDGPEAQGSWAELAERLGLRSLVDTYRQTTSPSGSLLRSYELAGGDLAGLLEALSDMGLEEGVRLLRGPE-----------------------------TRDKLPSTEVSGPSSG---- | |||||||||||||
| 9 | 2d96A | 0.88 | 0.67 | 18.89 | 1.05 | CNFpred | -GSSGSSGPGLSLGDTALQNLEQLLDGPEAQGSWAELAERLGLRSLVDTYRQTTSPSGSLLRSYELAGGDLAGLLEALSDMGLEEGVRLLRGPETRDKLPSTEVSGPSSG--------------------------------- | |||||||||||||
| 10 | 1vt4I1 | 0.04 | 0.03 | 1.55 | 1.00 | DEthreader | ----M-DFETGEHQYQYKDILSVFE-DAFVDNFDCDDMPKILSKEEIDHIIMSDAGTLRLFWTLLSKQEMVQKFVEEVLRINYKFLMSPIKTEQRQPSTRI---D---V--KYKYLDIRDGLANWKH---------------- | |||||||||||||
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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. |