| >E5RQL4 (147 residues) MSSSRVGLRLAACLLNVSEAGRKYIVENIAKAALLDKNGKKHPQVSVLNIFSDQDYKRSV ITIATSVDKLGLAEDLVLHVPGCSVFLFGEADLPEKRSLVQRRKQLGWFTRRDFSALQPD LGAAPSQRCGLTGSEHGFCFALFFFFF |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSSSRVGLRLAACLLNVSEAGRKYIVENIAKAALLDKNGKKHPQVSVLNIFSDQDYKRSVITIATSVDKLGLAEDLVLHVPGCSVFLFGEADLPEKRSLVQRRKQLGWFTRRDFSALQPDLGAAPSQRCGLTGSEHGFCFALFFFFF |
| Prediction | CCCCHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHCCCCCCCCCSSSSSCCCCCCCCSSSSSSSCCCHHHHHHHHHHHHCCCCCSSSSSCCCCCCCCCCHHHHCCCCSSSCCCHHHCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSC |
| Confidence | 984167789998603411024799999999998513356657974998613787777048998337314566654677544530122213567444572354222231626542017842245531001655565651312311219 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSSSRVGLRLAACLLNVSEAGRKYIVENIAKAALLDKNGKKHPQVSVLNIFSDQDYKRSVITIATSVDKLGLAEDLVLHVPGCSVFLFGEADLPEKRSLVQRRKQLGWFTRRDFSALQPDLGAAPSQRCGLTGSEHGFCFALFFFFF |
| Prediction | 754342032003012303534456205302521334554563340100322634623210000114364143054025304412011112031466443363455242055351751446233631532113135301000133334 |
| 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 | CCCCHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHCCCCCCCCCSSSSSCCCCCCCCSSSSSSSCCCHHHHHHHHHHHHCCCCCSSSSSCCCCCCCCCCHHHHCCCCSSSCCCHHHCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSC MSSSRVGLRLAACLLNVSEAGRKYIVENIAKAALLDKNGKKHPQVSVLNIFSDQDYKRSVITIATSVDKLGLAEDLVLHVPGCSVFLFGEADLPEKRSLVQRRKQLGWFTRRDFSALQPDLGAAPSQRCGLTGSEHGFCFALFFFFF | |||||||||||||||||||
| 1 | 1tt9A | 0.22 | 0.19 | 6.01 | 1.00 | DEthreader | --S-----QLVECVPNFSEGNNQEVIDAISQAISQ-----TP-GCVLLDVDAGPSTNRTVYTFVGQPEVCAFGQRLAE-ELNVPVYLYGEAAQPSRQTL-PAIRAGE-YEALEKLEWVPDFGPS-SFVWGATVTGARK--FLIDFPL | |||||||||||||
| 2 | 1tt9A1 | 0.21 | 0.18 | 5.61 | 1.71 | SPARKS-K | -------SQLVECVPNFSEGNNQEVIDAISQAISQ------TPGCVLLDVDAGPSTNRTVYTFVGQPECVVCAKAFGQRLLNVPVYLYGEAAQPSRQTLPAIRAEYEALPEKKQAEWVPDFGPSFVPSWGATVTGA----------- | |||||||||||||
| 3 | 1tt9A | 0.20 | 0.17 | 5.44 | 1.11 | MapAlign | -------SQLVECVPNFSEGNNQEVIDAISQAIS------QTPGCVLLDVDAGPSTNRTVYTFVGQRGVKAFGQRLA-EELNVPVYLYGEAAQPSRQTLPAIAGEYEALPEKLKAEWVPDFGPSSFPSWGATVTGARKF-------- | |||||||||||||
| 4 | 1tt9A | 0.20 | 0.18 | 5.87 | 1.36 | CEthreader | -------SQLVECVPNFSEGNNQEVIDAISQAISQ------TPGCVLLDVDAGPSTNRTVYTFVGQPECVVCAKAFGQRLANVPVYLYGEAAQPSRQTLPAIRAEYEALPELKQAEWVPDFGPSSFPSWGATVTGARKFLIAFNINL | |||||||||||||
| 5 | 1tt9A1 | 0.21 | 0.18 | 5.61 | 1.21 | MUSTER | -------SQLVECVPNFSEGNNQEVIDAISQAISQ------TPGCVLLDVDAGPSTNRTVYTFVGQPECVVCAKAFGQRLLNVPVYLYGEAAQPSRQTLPAIRAEYEALPELKQAEWVPDFGSSFVPSWGATVTGA----------- | |||||||||||||
| 6 | 1tt9A | 0.21 | 0.18 | 5.84 | 6.50 | HHsearch | -------SQLVECVPNFSEGNNQEVIDAISQAI------SQTPGCVLLDVDAGPSTNRTVYTFVGQPER-GFGQRLAEELN-VPVYLYGEAAPS-RQTLPAIRAGYEAPEKLKQAEWVPDFGPSFVPSWGATVTGARKF-LIAFNIN | |||||||||||||
| 7 | 1tt9A1 | 0.20 | 0.17 | 5.42 | 1.36 | FFAS-3D | --------QLVECVPNFSEGNNQEVIDAISQAIS------QTPGCVLLDVDAGPSTNRTVYTFVGQPECVVEGALCAKAFLNVPVYLYGEAAQPSRQTLPAIRAGEALPEKLKQAEWVPDFGPSFVPSWGATVTGA----------- | |||||||||||||
| 8 | 1tt9A1 | 0.18 | 0.15 | 4.87 | 0.85 | EigenThreader | -------SQLVECVPNFSEGNNQEVIDAISQAISQ----TPGCVLLDVDAGPST--NRTVYTFVGQPECVLCAKAFGQRLANVPVYLYGEAAQPSRQTLPAIRAGEALPEKLKQAEWVPDFGPSSFVPGATVTGA------------ | |||||||||||||
| 9 | 1qd1A | 0.22 | 0.20 | 6.24 | 1.54 | CNFpred | -------SQLVECVPNFSEGKNQEVIDAISRAVAQ------TPGCVLLDVDSGPSTNRTVYTFVGRPEDVVCAQAFGQRLLGVPVYLYGEAATAGRQSLPALRAEYEALPEKKQAEWAPDFGPSFVPSWGATVAGARKFLLAFNINL | |||||||||||||
| 10 | 1tt9A1 | 0.22 | 0.18 | 5.59 | 1.00 | DEthreader | --S-----QLVECVPNFSEGNNQEVIDAISQAIS------QTPGCVLLDVDAGPSTNRTVYTFVGQPEVCAFGQRLAEEL-NVPVYLYGEAAQPSRQTL-PAIRAGE-YEALEKLEWVPDFGPSSFVPWGATVTG-A---------- | |||||||||||||
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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. |