>Q9Y6J8 (151 residues) IVPGKVFVGNFSQACDPKIQKDLKIKAHVNVSMDTGPFFAGDADKLLHIRIEDSPEAQIL PFLRHMCHFIEIHHHLGSVILIFSTQGISRSCAAIIAYLMHSNEQTLQRSWAYVKKCKNN MCPNRGLVSQLLEWEKTILGDSITNIMDPLY |
Sequence |
20 40 60 80 100 120 140 | | | | | | | IVPGKVFVGNFSQACDPKIQKDLKIKAHVNVSMDTGPFFAGDADKLLHIRIEDSPEAQILPFLRHMCHFIEIHHHLGSVILIFSTQGISRSCAAIIAYLMHSNEQTLQRSWAYVKKCKNNMCPNRGLVSQLLEWEKTILGDSITNIMDPLY |
Prediction | CCCCCSSSCCHHHHCCHHHHHHHCCCSSSSCCCCCCCCCCCCCCSSSSSSCCCCCCCCHHHHHHHHHHHHHHHHHHCCSSSSSCCCCCCCHHHHHHHHHHHHHCCCHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHCCCCCCCCCCCC |
Confidence | 9289768748678369999999099299982379877777777349999731399986699999999999999982992999858887600789999999993999999999999978987899459999999999995578777789999 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | IVPGKVFVGNFSQACDPKIQKDLKIKAHVNVSMDTGPFFAGDADKLLHIRIEDSPEAQILPFLRHMCHFIEIHHHLGSVILIFSTQGISRSCAAIIAYLMHSNEQTLQRSWAYVKKCKNNMCPNRGLVSQLLEWEKTILGDSITNIMDPLY |
Prediction | 7137554433262042361057260411200044244334574142020304034534025204400410440354632000003303320111000100244713153015103732530312410340144026403775345355458 |
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 | CCCCCSSSCCHHHHCCHHHHHHHCCCSSSSCCCCCCCCCCCCCCSSSSSSCCCCCCCCHHHHHHHHHHHHHHHHHHCCSSSSSCCCCCCCHHHHHHHHHHHHHCCCHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHCCCCCCCCCCCC IVPGKVFVGNFSQACDPKIQKDLKIKAHVNVSMDTGPFFAGDADKLLHIRIEDSPEAQILPFLRHMCHFIEIHHHLGSVILIFSTQGISRSCAAIIAYLMHSNEQTLQRSWAYVKKCKNNMCPNRGLVSQLLEWEKTILGDSITNIMDPLY | |||||||||||||||||||
1 | 1yz4A | 0.24 | 0.23 | 7.24 | 1.50 | DEthreader | KVLPGLYLGNFIDAKDLDQLGRNKITHIISIHESPQP--LLQDITYLRIPVADTPEVPIKKHFKECINFIHCCRLNGGNCLVHSFAGISRSTTIVTAYVMTVTGLGWRDVLEAIKATRPIANPNPGFRQQLEEFGWASS-QKLRQLEERFG | |||||||||||||
2 | 2esbA | 0.21 | 0.21 | 6.54 | 2.06 | SPARKS-K | QITKSLYISNGVAANNKLMLSSNQITMVINVS-VEVVNTLYEDIQYMQVPVADSPNSRLCDFFDPIADHIHSVEMKQGRTLLHCAAGVSRSAALCLAYLMKYHAMSLLDAHTWTKSCRPIIRPNSGFWEQLIHYEFQLFGKNTVHMVSSPV | |||||||||||||
3 | 2hcmA | 0.29 | 0.27 | 8.26 | 0.95 | MapAlign | RVAPALFIGNARAAGATELLVRAGITLCVNVSRQQ-PGPRAPGVAELRVPVFDDPAEDLLTHLEPTCAAMEAAVRDGGSCLVYCKNGRSRSAAVCTAYLMRHRGHSLDRAFQMVKSARPVAEPNLGFWAQLQKYEQTLLPR---------- | |||||||||||||
4 | 2hcmA | 0.28 | 0.27 | 8.30 | 0.77 | CEthreader | RVAPALFIGNARAAGATELLVRAGITLCVNVSRQ-QPGPRAPGVAELRVPVFDDPAEDLLTHLEPTCAAMEAAVRDGGSCLVYCKNGRSRSAAVCTAYLMRHRGHSLDRAFQMVKSARPVAEPNLGFWAQLQKYEQTLQAQAILPRE---- | |||||||||||||
5 | 2wgpA | 0.24 | 0.24 | 7.42 | 1.60 | MUSTER | ITSS-LFLGRGSVASNRHLLQARGITCIVNATIEIPNFNWP-QFEYVKVPLADMPHAPIGLYFDTVADKIHSVSRKHGATLVHCAAGVSRSATLCIAYLMKFHNVCLLEAYNWVKARRPVIRPNVGFWRQLIDYERQLFGKSTVKMVQTPY | |||||||||||||
6 | 2oudA | 0.27 | 0.27 | 8.32 | 1.61 | HHsearch | ILPF-LFLGNEQDAQDLDTMQRLNIGYVINVTTHLPLYHEKGLFNYKRLPATDSNKQNLRQYFEEAFEFIEEAHQCGKGLLIHCQAGVSRSATIVIAYLMKHTRMTMTDAYKFVKGKRPIISPNLNFMGQLLEFEEDLNNGVTPRILTPKL | |||||||||||||
7 | 2g6zA | 0.31 | 0.28 | 8.61 | 2.48 | FFAS-3D | ILP-FLYLGSAYHASKCEFLANLHITALLNVSRRTSEACM-THLHYKWIPVEDSHTADISSHFQEAIDFIDCVREKGGKVLVHSEAGISRSPTICMAYLMKTKQFRLKEAFDYIKQRRSMVSPNFGFMGQLLQYESEILPS---------- | |||||||||||||
8 | 2oudA | 0.26 | 0.26 | 7.97 | 0.90 | EigenThreader | NAELFLFLGNEQDAQDLDTMQRLNIGYVINVTTHLPLYHYEKLFNYKRLPATDSNKQNLRQYFEEAFEFIEEAHQCGKGLLIHCQAGVSRSATIVIAYLMKHTRMTMTDAYKFVKGKRPIISPNLNFMGQLLEFEEDLNNGVTPRILTPKL | |||||||||||||
9 | 2oudA | 0.26 | 0.26 | 7.97 | 1.37 | CNFpred | PILPFLFLGNEQDAQDLDTMQRLNIGYVINVTTHLPLYHYKGLFNYKRLPATDSNKQNLRQYFEEAFEFIEEAHQCGKGLLIHCQAGVSRSATIVIAYLMKHTRMTMTDAYKFVKGKRPIISPNLNFMGQLLEFEEDLNNGVTPRILTPKL | |||||||||||||
10 | 2oudA | 0.27 | 0.26 | 7.94 | 1.50 | DEthreader | ILP-FLFLGNEQDAQDLDTMQRLNIGYVINVTTHLPLYHYKGLFNYKRLPATDSNKQNLRQYFEEAFEFIEEAHQCGKGLLIHCQAGVSRSATIVIAYLMKHTRMTMTDAYKFVKGKRPIISPNLNFMGQLLEFEEDLNNGVTPILT---- | |||||||||||||
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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. |