| >P02008 (142 residues) MSLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHG SKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTA EAHAAWDKFLSVVSSVLTEKYR |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR |
| Prediction | CCCCHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHCHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCHCHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHCC |
| Confidence | 9999999999999999986238899999999999979357764211165679978999999999999999971220799999999981310199978777789999999999758779999999999999999999998639 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR |
| Prediction | 8713662252046127304641551023003200542263352154154365354144103200300240054275145104400631164350436246212300120024334651232024004301210031026528 |
| 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 | CCCCHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHCHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCHCHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHCC MSLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR | |||||||||||||||||||
| 1 | 1lhtA | 0.28 | 0.27 | 8.41 | 1.50 | DEthreader | -GLSDDEWNHVLGIWAKVEPDLSAHGQEVIIRLFQLHPETQERFAKFNLLKSSEEVKKHGTTVLTALGRILKQKNNHEQELKPLAESHATKHKIPVKYLEFICEIIVKVIAEKHPSDFGADSQAAMKKALELFRNDMASKYQ | |||||||||||||
| 2 | 5jggA | 0.52 | 0.51 | 14.87 | 1.67 | SPARKS-K | -TLTSADKSHVKSIWSKASGKAEELGAEALGRMLEVFPNTKTYFSHYDLSVTSGQVHTHGKKILDAITTAVNHIDDITGVLTALSTLHAKTLRVDPANFKILSHTILVVLALYFPADFTPEVHLACDKFLASVSHTLATKYR | |||||||||||||
| 3 | 5jggA | 0.51 | 0.51 | 14.68 | 0.92 | MapAlign | -TLTSADKSHVKSIWSKASGKAEELGAEALGRMLEVFPNTKTYFSHYDLSVTSGQVHTHGKKILDAITTAVNHIDDITGVLTALSTLHAKTLRVDPANFKILSHTILVVLALYFPADFTPEVHLACDKFLASVSHTLATKY- | |||||||||||||
| 4 | 5jggA | 0.52 | 0.51 | 14.87 | 0.61 | CEthreader | -TLTSADKSHVKSIWSKASGKAEELGAEALGRMLEVFPNTKTYFSHYDLSVTSGQVHTHGKKILDAITTAVNHIDDITGVLTALSTLHAKTLRVDPANFKILSHTILVVLALYFPADFTPEVHLACDKFLASVSHTLATKYR | |||||||||||||
| 5 | 1jebA | 1.00 | 0.99 | 27.80 | 1.68 | MUSTER | -SLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR | |||||||||||||
| 6 | 1c7dA | 0.59 | 0.59 | 16.97 | 1.33 | HHsearch | GVLSPADKTNVKAAWGKVGAHAGEYGAEALERMFLSFPTTKTYFPHFDLSHGSAQVKGHGKKVADALTNAVAHVDDMPNALSALSDLHAHKLRVDPVNFKLLSHCLLVTLAAHLPAEFTPAVHASLDKFLASVSTVLTSKYR | |||||||||||||
| 7 | 1jebA | 1.00 | 0.99 | 27.80 | 2.13 | FFAS-3D | -SLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR | |||||||||||||
| 8 | 1c7dA2 | 0.59 | 0.59 | 16.97 | 1.02 | EigenThreader | GVLSPADKTNVKAAWGKVGAHAGEYGAEALERMFLSFPTTKTYFPHFDLSHGSAQVKGHGKKVADALTNAVAHVDDMPNALSALSDLHAHKLRVDPVNFKLLSHCLLVTLAAHLPAEFTPAVHASLDKFLASVSTVLTSKYR | |||||||||||||
| 9 | 1jebA | 1.00 | 0.99 | 27.80 | 1.19 | CNFpred | -SLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR | |||||||||||||
| 10 | 1jebA | 1.00 | 0.99 | 27.80 | 1.50 | DEthreader | -SLTKTERTIIVSMWAKISTQADTIGTETLERLFLSHPQTKTYFPHFDLHPGSAQLRAHGSKVVAAVGDAVKSIDDIGGALSKLSELHAYILRVDPVNFKLLSHCLLVTLAARFPADFTAEAHAAWDKFLSVVSSVLTEKYR | |||||||||||||
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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. |