| >Q6B0K9 (141 residues) MLSAQERAQIAQVWDLIAGHEAQFGAELLLRLFTVYPSTKVYFPHLSACQDATQLLSHGQ RMLAAVGAAVQHVDNLRAALSPLADLHALVLRVDPANFPLLIQCFHVVLASHLQDEFTVQ MQAAWDKFLTGVAVVLTEKYR |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MLSAQERAQIAQVWDLIAGHEAQFGAELLLRLFTVYPSTKVYFPHLSACQDATQLLSHGQRMLAAVGAAVQHVDNLRAALSPLADLHALVLRVDPANFPLLIQCFHVVLASHLQDEFTVQMQAAWDKFLTGVAVVLTEKYR |
| Prediction | CCCHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHCHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHCHCHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHCC |
| Confidence | 989999999999999986248899999999999978348888874422677768999999999999999981220899999999984872099967888999999999999823459999999999999999999998639 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MLSAQERAQIAQVWDLIAGHEAQFGAELLLRLFTVYPSTKVYFPHLSACQDATQLLSHGQRMLAAVGAAVQHVDNLRAALSPLADLHALVLRVDPANFPLLIQCFHVVLASHLQDEFTVQMQAAWDKFLTGVAVVLTEKYR |
| Prediction | 723762352046026304631551023003300442253442144154256354144102300320240043145145104500531064260446305401400130024226741232023004301210021026528 |
| 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 | CCCHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHCHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHCHCHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHCC MLSAQERAQIAQVWDLIAGHEAQFGAELLLRLFTVYPSTKVYFPHLSACQDATQLLSHGQRMLAAVGAAVQHVDNLRAALSPLADLHALVLRVDPANFPLLIQCFHVVLASHLQDEFTVQMQAAWDKFLTGVAVVLTEKYR | |||||||||||||||||||
| 1 | 1jebA | 0.48 | 0.48 | 13.83 | 1.67 | DEthreader | SLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR | |||||||||||||
| 2 | 1jebA | 0.48 | 0.48 | 13.83 | 1.69 | SPARKS-K | SLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR | |||||||||||||
| 3 | 5jggA | 0.37 | 0.37 | 10.95 | 0.92 | MapAlign | TLTSADKSHVKSIWSKASGKAEELGAEALGRMLEVFPNTKTYFHYADLSVTSGQVHTHGKKILDAITTAVNHIDDITGVLTALSTLHAKTLRVDPANFKILSHTILVVLALYFPADFTPEVHLACDKFLASVSHTLATKY- | |||||||||||||
| 4 | 5jggA | 0.38 | 0.38 | 11.15 | 0.61 | CEthreader | TLTSADKSHVKSIWSKASGKAEELGAEALGRMLEVFPNTKTYFSYADLSVTSGQVHTHGKKILDAITTAVNHIDDITGVLTALSTLHAKTLRVDPANFKILSHTILVVLALYFPADFTPEVHLACDKFLASVSHTLATKYR | |||||||||||||
| 5 | 1jebA | 0.48 | 0.48 | 13.83 | 1.65 | MUSTER | SLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR | |||||||||||||
| 6 | 1c7dA | 0.45 | 0.45 | 13.26 | 1.33 | HHsearch | VLSPADKTNVKAAWGKVGAHAGEYGAEALERMFLSFPTTKTYFPHFDLSHGSAQVKGHGKKVADALTNAVAHVDDMPNALSALSDLHAHKLRVDPVNFKLLSHCLLVTLAAHLPAEFTPAVHASLDKFLASVSTVLTSKYR | |||||||||||||
| 7 | 1hv4A | 0.47 | 0.47 | 13.64 | 2.16 | FFAS-3D | VLSAADKTNVKGVFSKISGHAEEYGAETLERMFTAYPQTKTYFPHFDLQHGSAQIKAHGKKVVAALVEAVNHIDDIAGALSKLSDLHAQKLRVDPVNFKFLGHCFLVVVAIHHPSALTAEVHASLDKFLCAVGTVLTAKYR | |||||||||||||
| 8 | 1ouuB | 0.29 | 0.29 | 8.84 | 1.00 | EigenThreader | EWTDAEKSTISAVWGKV--NIDEIGPLALARVLIVYPWTQRYFGSFGNVSTNPKVAAHGKVVCGALDKAVKNMGNILATYKSLSETHANKLFVDPDNFRVLADVLTIVIAAKFGASFTPEIQATWQKFMKVVVAAMGSRYF | |||||||||||||
| 9 | 1hbrA | 0.50 | 0.50 | 14.60 | 1.10 | CNFpred | MLTAEDKKLIQQAWEKAASHQEEFGAEALTRMFTTYPQTKTYFPHFDLSPGSDQVRGHGKKVLGALGNAVKNVDNLSQAMAELSNLHAYNLRVDPVNFKLLSQCIQVVLAVHMGKDYTPEVHAAFDKFLSAVSAVLAEKYR | |||||||||||||
| 10 | 1hbrA | 0.50 | 0.50 | 14.60 | 1.50 | DEthreader | MLTAEDKKLIQQAWEKAASHQEEFGAEALTRMFTTYPQTKTYFPHFDLSPGSDQVRGHGKKVLGALGNAVKNVDNLSQAMAELSNLHAYNLRVDPVNFKLLSQCIQVVLAVHMGKDYTPEVHAAFDKFLSAVSAVLAEKYR | |||||||||||||
| ||||||||||||||||||||
|
Top 10 structural analogs in PDB (as identified by
TM-align)
|
|
Top 5 enzyme homologs in PDB
|
Template proteins with similar binding site:
|
| 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. |