| >Q495Y7 (144 residues) MEWWDKSEESLEEEPRKVLAPEPEEIWVAEMLCGLKMKLKRRRVSLVLPEHHEAFNRLLE DPVIKRFLAWDKGLRVSDKYLLAMVIVYFSRAGLPSWQYQCIHFFLALYLANDMEEDVSP EELEEIQAYDPEHWVWARDRARLS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MEWWDKSEESLEEEPRKVLAPEPEEIWVAEMLCGLKMKLKRRRVSLVLPEHHEAFNRLLEDPVIKRFLAWDKGLRVSDKYLLAMVIVYFSRAGLPSWQYQCIHFFLALYLANDMEEDVSPEELEEIQAYDPEHWVWARDRARLS |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSCHHHHHHHHHHHCCCHHHHHHCCCCCCCHHHHHHHHHHHHHHHHCCCCHHHHCHHHHHHHHHHHHCHHHCCCHHHHHHHHHHCCHHHHHHCCCCCCC |
| Confidence | 986334654411143223588877666543345875333567665112378999998617707887613244752122334777787753128998883067899999975100001367888999875832444331125689 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MEWWDKSEESLEEEPRKVLAPEPEEIWVAEMLCGLKMKLKRRRVSLVLPEHHEAFNRLLEDPVIKRFLAWDKGLRVSDKYLLAMVIVYFSRAGLPSWQYQCIHFFLALYLANDMEEDVSPEELEEIQAYDPEHWVWARDRARLS |
| Prediction | 672555457646553754553546735426544644453545533323264252024017463046104454324105422111013114316144442430100000100341465446630550373323110113634638 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSCHHHHHHHHHHHCCCHHHHHHCCCCCCCHHHHHHHHHHHHHHHHCCCCHHHHCHHHHHHHHHHHHCHHHCCCHHHHHHHHHHCCHHHHHHCCCCCCC MEWWDKSEESLEEEPRKVLAPEPEEIWVAEMLCGLKMKLKRRRVSLVLPEHHEAFNRLLEDPVIKRFLAWDKGLRVSDKYLLAMVIVYFSRAGLPSWQYQCIHFFLALYLANDMEEDVSPEELEEIQAYDPEHWVWARDRARLS | |||||||||||||||||||
| 1 | 5uq1B | 0.45 | 0.29 | 8.53 | 2.35 | SPARKS-K | -----------------------------------------------QRQDMTAFFKLFDDDLIQDFLWMDCCCKIADKYLLAMTFVYFKRAKFTISEHTRINFFIALYLANTVEEDVSRRCCEEVMAIAPTHYIWQRERS--- | |||||||||||||
| 2 | 5uq1B | 0.45 | 0.29 | 8.53 | 1.56 | MUSTER | -----------------------------------------------QRQDMTAFFKLFDDDLIQDFLWMDCCCKIADKYLLAMTFVYFKRAKFTISEHTRINFFIALYLANTVEEDVSRRCCEEVMAIAPTHYIWQRERS--- | |||||||||||||
| 3 | 5uq1B | 0.45 | 0.29 | 8.53 | 7.65 | HHsearch | -----------------------------------------------QRQDMTAFFKLFDDDLIQDFLWMDCCCKIADKYLLAMTFVYFKRAKFTISEHTRINFFIALYLANTVEEDVSRRCCEEVMAIAPTHYIWQRERS--- | |||||||||||||
| 4 | 5uq1B | 0.45 | 0.29 | 8.53 | 1.98 | FFAS-3D | -----------------------------------------------QRQDMTAFFKLFDDDLIQDFLWMDCCCKIADKYLLAMTFVYFKRAKFTISEHTRINFFIALYLANTVEEDVSRRCCEEVMAIAPTHYIWQRERS--- | |||||||||||||
| 5 | 5uq1B | 0.46 | 0.29 | 8.51 | 1.17 | CNFpred | -------------------------------------------------QDMTAFFKLFDDDLIQDFLWMDCCCKIADKYLLAMTFVYFKRAKFTISEHTRINFFIALYLANTVEEDVSRRCCEEVMAIAPTHYIWQRERS--- | |||||||||||||
| 6 | 5uq1B | 0.37 | 0.23 | 6.81 | 0.83 | DEthreader | ---------------------------------------------Q-RQD-MTAFFKLFDDDLIQDFLWMDCCCKIADKYLLAMTFVYFKRAKFTISEHTRINFFIALYLANTVEED----VSRRCCEEMAPTHIW-QRERS-- | |||||||||||||
| 7 | 5yfpE5 | 0.10 | 0.09 | 3.38 | 0.88 | SPARKS-K | ---------KKKDFVPKSQELLDQDTLPAIEIVNILNLIFEQSSKFLKGKNLQTFLTLIGEELYGLLLSHYSHFQVNSVVVTKDIIGYQTAIDWGVASFATLRELANLFTVQLLESLTKEGHLADIGRDIIQSYISNREDFNHD | |||||||||||||
| 8 | 3b9zA | 0.06 | 0.06 | 2.47 | 1.00 | MapAlign | -VRRYGFSATTGTYLVVATGLPLYILLRANGIFGHALLWLFWPSFATMPQTIVNTLLALCGLATYFLSALFHASIVDMANAALAGGVAICN-IVGPVGA-FVIGLLGGAISVVGFVNLHGLPGLLGGFSAILIVAQLTGIGIT- | |||||||||||||
| 9 | 5uq1B | 0.45 | 0.29 | 8.53 | 0.72 | CEthreader | -----------------------------------------------QRQDMTAFFKLFDDDLIQDFLWMDCCCKIADKYLLAMTFVYFKRAKFTISEHTRINFFIALYLANTVEEDVSRRCCEEVMAIAPTHYIWQRERS--- | |||||||||||||
| 10 | 1td6A2 | 0.14 | 0.13 | 4.49 | 0.53 | MUSTER | SELLELKRFSFFQALNQIPGFQGEQVEYFNSKLKQKFTLTGEFEIAQQPDAKAYFEQLIT--QIQQLFLKEVNAEFANEIIDAFLVSYF---LHPPVPLAQLAAKIYEYVSQIVAVNLKDELIKLIVHTLYEQL----DRPV-- | |||||||||||||
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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. |