| >Q9NZK7 (142 residues) MKSPHVLVFLCLLVALVTGNLVQFGVMIEKMTGKSALQYNDYGCYCGIGGSHWPVDQTDW CCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNL GTYNRKYAHYPNKLCTGPTPPC |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MKSPHVLVFLCLLVALVTGNLVQFGVMIEKMTGKSALQYNDYGCYCGIGGSHWPVDQTDWCCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNLGTYNRKYAHYPNKLCTGPTPPC |
| Prediction | CCHHHHHHHHHHHHHCCCCCHHHHHHHHHHHCCCCHHHHCCCCCCCCCCCCCCCCCCCCHHHHCCHHHHHHHHHCCCCCCCCCSSSSSSCCSSSSCCCCHHHHHHCHHHHHHHHHHHHCCCCHCHHHCCCCHHHCCCCCCCC |
| Confidence | 9747999999998640664389999999986399835653678673799999978875113430347999987539963001079999799647399872458871856999999996354405666469811068899999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MKSPHVLVFLCLLVALVTGNLVQFGVMIEKMTGKSALQYNDYGCYCGIGGSHWPVDQTDWCCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNLGTYNRKYAHYPNKLCTGPTPPC |
| Prediction | 7320200001010103243113203400422274332302300000032243433533230043154015306756142324423041464404145454044201500340040046345413550441346405566588 |
| 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 | CCHHHHHHHHHHHHHCCCCCHHHHHHHHHHHCCCCHHHHCCCCCCCCCCCCCCCCCCCCHHHHCCHHHHHHHHHCCCCCCCCCSSSSSSCCSSSSCCCCHHHHHHCHHHHHHHHHHHHCCCCHCHHHCCCCHHHCCCCCCCC MKSPHVLVFLCLLVALVTGNLVQFGVMIEKMTGKSALQYNDYGCYCGIGGSHWPVDQTDWCCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNLGTYNRKYAHYPNKLCTGPTPPC | |||||||||||||||||||
| 1 | 1n29A | 0.54 | 0.47 | 13.61 | 1.17 | DEthreader | ------------------AL-VNFHRMIKLTTGKEALSYGFYGCHCGVGGRGSPKDATDRCCVTHDCCYKRLEKRGCGTKFLSYKFSNSGSRITCAKQDSCRSQLCECDKAAATCFARNKTTYNKKYQYYSNKHCRGSTPRC | |||||||||||||
| 2 | 5wzmA | 1.00 | 0.85 | 23.86 | 4.91 | SPARKS-K | ---------------------VQFGVMIEKMTGKSALQYNDYGCYCGIGGSHWPVDQTDWCCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNLGTYNRKYAHYPNKLCTGPTPPC | |||||||||||||
| 3 | 1le6A | 0.39 | 0.33 | 9.79 | 1.18 | MapAlign | -------------------GILELAGTVGCVGPRTPIAYMKYGCFCGLGGHGQPRDAIDWCCHGHDCCYTRAEEAGCSPKTERYSWQCVNQSVLCGAENKCQELLCKCDQEIANCLAQT--EYNLKYLFYPQFLCEPDSPKC | |||||||||||||
| 4 | 1le6A | 0.39 | 0.33 | 9.79 | 0.93 | CEthreader | -------------------GILELAGTVGCVGPRTPIAYMKYGCFCGLGGHGQPRDAIDWCCHGHDCCYTRAEEAGCSPKTERYSWQCVNQSVLCGAENKCQELLCKCDQEIANCLAQT--EYNLKYLFYPQFLCEPDSPKC | |||||||||||||
| 5 | 5wzmA | 1.00 | 0.85 | 23.86 | 3.54 | MUSTER | ---------------------VQFGVMIEKMTGKSALQYNDYGCYCGIGGSHWPVDQTDWCCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNLGTYNRKYAHYPNKLCTGPTPPC | |||||||||||||
| 6 | 6kquA | 0.99 | 0.85 | 23.67 | 2.47 | HHsearch | ---------------------VQFGVMIEKMTGKSALQYGDYGCYCGIGGSHWPVDQTDWCCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNLGTYNRKYAHYPNKLCTGPTPPC | |||||||||||||
| 7 | 5wzmA | 1.00 | 0.85 | 23.66 | 2.11 | FFAS-3D | ----------------------QFGVMIEKMTGKSALQYNDYGCYCGIGGSHWPVDQTDWCCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNLGTYNRKYAHYPNKLCTGPTPPC | |||||||||||||
| 8 | 1n29A | 0.54 | 0.47 | 13.61 | 1.35 | EigenThreader | -------------------ALVNFHRMIKLTTGKEAASYGFYGCHCGVGGRGSPKDATDRCCVTHDCCYKRLEKRGCGTKFLSYKFSNSGSRITCAKQDSCRSQLCECDKAAATCFARNKTTYNKKYQYYSNKHCRGSTPRC | |||||||||||||
| 9 | 5wzoA | 1.00 | 0.87 | 24.25 | 2.74 | CNFpred | -------------------NLVQFGVMIEKMTGKSALQYNDYGCYCGIGGSHWPVDQTDWCCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNLGTYNRKYAHYPNKLCTGPTPPC | |||||||||||||
| 10 | 5wzmA | 1.00 | 0.85 | 23.86 | 1.17 | DEthreader | ---------------------VQFGVMIEKMTGKSALQYNDYGCYCGIGGSHWPVDQTDWCCHAHDCCYGRLEKLGCEPKLEKYLFSVSERGIFCAGRTTCQRLTCECDKRAALCFRRNLGTYNRKYAHYPNKLCTGPTPPC | |||||||||||||
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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. |