>Q15759 (150 residues) MSGPRAGFYRQELNKTVWEVPQRLQGLRPVGSGAYGSVCSAYDARLRQKVAVKKLSRPFQ SLIHARRTYRELRLLKHLKHENVIGLLDVFTPATSIEDFSEVYLVTTLYDESVEAKERTL EEWKELTYQEVLSFKPPEPPKPPGSLEIEQ |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MSGPRAGFYRQELNKTVWEVPQRLQGLRPVGSGAYGSVCSAYDARLRQKVAVKKLSRPFQSLIHARRTYRELRLLKHLKHENVIGLLDVFTPATSIEDFSEVYLVTTLYDESVEAKERTLEEWKELTYQEVLSFKPPEPPKPPGSLEIEQ |
Prediction | CCCCCCCCSSSSSCCSSSSSCCCSSSSSSSSCCCCSSSSSSSSCCCCCSSSSSSCCCCCCCHHHHHHHHHHHHHHHHCCCCCSCCSSSSSCCCCCCCCCCSSSSSSSCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCSSCCC |
Confidence | 999999728999889799916864884762033454999999888996999984377546814689999999999886998663278876179985448749999856124511166987999999999999999874258975231269 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MSGPRAGFYRQELNKTVWEVPQRLQGLRPVGSGAYGSVCSAYDARLRQKVAVKKLSRPFQSLIHARRTYRELRLLKHLKHENVIGLLDVFTPATSIEDFSEVYLVTTLYDESVEAKERTLEEWKELTYQEVLSFKPPEPPKPPGSLEIEQ |
Prediction | 865555631424146340403731641441141010000002145464300002034426544203200100300450616100303300325753751410000000013205624244720120022002002201564435314368 |
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 | | | | | | | | |||||||||||||
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SS Seq | CCCCCCCCSSSSSCCSSSSSCCCSSSSSSSSCCCCSSSSSSSSCCCCCSSSSSSCCCCCCCHHHHHHHHHHHHHHHHCCCCCSCCSSSSSCCCCCCCCCCSSSSSSSCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCSSCCC MSGPRAGFYRQELNKTVWEVPQRLQGLRPVGSGAYGSVCSAYDARLRQKVAVKKLSRPFQSLIHARRTYRELRLLKHLKHENVIGLLDVFTPATSIEDFSEVYLVTTLYDESVEAKERTLEEWKELTYQEVLSFKPPEPPKPPGSLEIEQ | |||||||||||||||||||
1 | 3ll6A | 0.18 | 0.16 | 5.23 | 1.17 | DEthreader | ---------QSDFVG-Q-TVELRLRVRRVLAEGGFAFVYEAQDVGSGREYALKRLL--SNEEEKNRAIIQEVCFMKKLGHPNIVQFCSAASIGKEETGQAEFLLLTELCKGQLEFLKMLTVKIFYQTCRAVQHMHRQK-AVLQVNPSPIT | |||||||||||||
2 | 3n9xA2 | 0.26 | 0.24 | 7.41 | 1.77 | SPARKS-K | ------RENLYFQGIKNVHVPDNYIIKHLIGRGSYGYVYLAYDKNTEKNVAIKKVNRMFEDLIDCKRILREITILNRLKSDYIIRLYDLIIP-DDLLKFDELYIVLEITILPFDDWVLSETQLRYIFLKEVQSFFTIHENNFYNNE---- | |||||||||||||
3 | 3ll6A | 0.19 | 0.17 | 5.58 | 0.45 | MapAlign | ---------QSDFVGQTVELGLRLRVRRVLAEGGFAFVYEAQDVGSGREYALKRLLSN--EEEKNRAIIQEVCFMKKSGHPNIVQFCSAASIGKSDTGQAEFLLLTELCKGQLSRGPLSCDTVLKIFYQTCRAVQHMHRQKPPIIH---- | |||||||||||||
4 | 3itzA1 | 0.58 | 0.58 | 16.66 | 0.28 | CEthreader | MSQERPTFYRQELNKTIWEVPERYQNLSPVGSGAYGSVCAAFDTKTGLRVAVKKLSRPFQSIIHAKRTYRELRLLKHMKHENVIGLLDVFTPARSLEEFNDVYLVTHLMGADLNCQKLTDDHVQFLIYQILRGLKYIHSADIIHRDLKPS | |||||||||||||
5 | 3coiA | 0.49 | 0.49 | 14.14 | 1.46 | MUSTER | LSLRKKGFYKQDVNKTAWELPKTYVSPTHVGSGAYGSVCSAIDKRSGEKVAIKKLSRPFQSEIFAKRAYRELLLLKHMQHENVIGLLDVFTPASSLRNFYDFYLVMPFMQTDLQGLKFSEEKIQYLVYQMLKGLKYIHSGVVHRDLKPGN | |||||||||||||
6 | 6ygnA | 0.12 | 0.11 | 3.98 | 0.68 | HHsearch | LSKPSEPSEPTSTKASHSSTYEKYMIAEDLGRGEFGIVHRCVETSSKKTYMAKFVKVKG---TDQVLVKKEISILNIARHRNILHLHESFESM------EELVMIFEFIGLDITSFELNEREIVSYVHQVCEALQFLHSH---NIGHFDI | |||||||||||||
7 | 3itzA | 0.60 | 0.60 | 17.20 | 2.00 | FFAS-3D | MSQERPTFYRQELNKTIWEVPERYQNLSPVGSGAYGSVCAAFDTKTGLRVAVKKLSRPFQSIIHAKRTYRELRLLKHMKHENVIGLLDVFTPARSLEEFNDVYLVTHLMGNIVKCQKLTDDHVQFLIYQILRGLKYIHSADKPSNLAVNE | |||||||||||||
8 | 4b99A | 0.27 | 0.24 | 7.38 | 0.65 | EigenThreader | -------------VTFD--VGDEYEIIETIGNGAYGVVSSARRRLTGQQVAIKKIPNAFDVVTNAKRTLRELKILKHFKHDNIIAIKDILRPTVPYGEFKSVYVVLDLMESSQPLTLEHVRYFLYQLLRGLKYMHSAMTEYVATRWYRAP | |||||||||||||
9 | 2xs0A | 0.46 | 0.43 | 12.45 | 1.82 | CNFpred | -------FYSVEIGDSTFTVLKRYQNLKPIGSGAQGIVCAAYDAILERNVAIKKLSRPFQNQTHAKRAYRELVLMKCVNHKNIIGLLNVFTPQKSLEEFQDVYIVMELMDANLCQMELDHERMSYLLYQMLCGIKHLHSA---GIIHRDL | |||||||||||||
10 | 4qnyA | 0.25 | 0.23 | 7.02 | 1.17 | DEthreader | ---------TKSLAELQEVLDDRYLLERIIGAGSYGVVIRARDTKSNRLVAMKRVNKEIEEVILAKRILREIKLLAHFNDDNIIGLRNILTPEDPE-NFDHFYIVMDIMETDLQVSQELTEHIQFFIYQALRALHISA-LMRLEQL---- | |||||||||||||
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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, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. In preparation, 2020. |