| >Q86TW2 (144 residues) QSSMQEIRQVIREDLGKEIHDLFQSFDDTPLGTASLAQVHKAVLHDGRTVAVKVQHPKVR AQSSKDILLMEVLVLAVKQLFPEFEFMWLVDEAKKNLPLELDFLNEGRNAEKVSQMLRHF DFLKVPRIHWDLSTERVLLMEFVD |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | QSSMQEIRQVIREDLGKEIHDLFQSFDDTPLGTASLAQVHKAVLHDGRTVAVKVQHPKVRAQSSKDILLMEVLVLAVKQLFPEFEFMWLVDEAKKNLPLELDFLNEGRNAEKVSQMLRHFDFLKVPRIHWDLSTERVLLMEFVD |
| Prediction | CCCHHHHHHHHHHHHCCCHHHHHHCCCCCHHHHHHHHHHSSSSSCCCCSSSSSSCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHCCCCCSSSCCSSCCCCCCCSSSSSCCC |
| Confidence | 989999999999997989999976169742567626541578818997999995288949999999999999999999977679999999999999999854999999999999982899978958380101789646765039 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | QSSMQEIRQVIREDLGKEIHDLFQSFDDTPLGTASLAQVHKAVLHDGRTVAVKVQHPKVRAQSSKDILLMEVLVLAVKQLFPEFEFMWLVDEAKKNLPLELDFLNEGRNAEKVSQMLRHFDFLKVPRIHWDLSTERVLLMEFVD |
| Prediction | 844264025103741645155115423641100013134140414544400000223404620521041033003104411671404400520261035104133005005302620672730200201362146300002338 |
| 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 | CCCHHHHHHHHHHHHCCCHHHHHHCCCCCHHHHHHHHHHSSSSSCCCCSSSSSSCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHCCCCCSSSCCSSCCCCCCCSSSSSCCC QSSMQEIRQVIREDLGKEIHDLFQSFDDTPLGTASLAQVHKAVLHDGRTVAVKVQHPKVRAQSSKDILLMEVLVLAVKQLFPEFEFMWLVDEAKKNLPLELDFLNEGRNAEKVSQMLRHFDFLKVPRIHWDLSTERVLLMEFVD | |||||||||||||||||||
| 1 | 5yjzA | 0.28 | 0.27 | 8.28 | 1.33 | DEthreader | DLPASKVHRVLDGQLGTKWRERFSSFNDTPVASASIGQVHKAIWSDGREVAVKIQYPGADEALRADLKTMQRMVGVLKLSPGADVQ-GVV-DELVERTEMLDYRLEAANQRAFAKAYHDHPRFQVPHVV--ASAPKVVIQEWIE | |||||||||||||
| 2 | 5yjzA | 0.31 | 0.31 | 9.24 | 1.21 | SPARKS-K | PLPASKVHRVLDGQLGTKWRERFSSFNDTPVASASIGQVHKAIWSDGREVAVKIQYPGADEALRADLKTMQRMVGVLKQLSPGADVQGVVDELVERTEMELDYRLEAANQRAFAKAYHDHPRFQVPHVVASA--PKVVIQEWIE | |||||||||||||
| 3 | 5yjzA1 | 0.32 | 0.31 | 9.42 | 1.58 | MapAlign | PLPASKVHRVLDGQLGTKWRERFSSFNDTPVASASIGQVHKAIWSDGREVAVKIQYPGADEALRADLKTMQRMVGVLKQLSPGADVQGVVDELVERTEMELDYRLEAANQRAFAKAYHDHPRFQVPHVV--ASAPKVVIQEWI- | |||||||||||||
| 4 | 5yjzA | 0.32 | 0.31 | 9.42 | 1.03 | CEthreader | PLPASKVHRVLDGQLGTKWRERFSSFNDTPVASASIGQVHKAIWSDGREVAVKIQYPGADEALRADLKTMQRMVGVLKQLSPGADVQGVVDELVERTEMELDYRLEAANQRAFAKAYHDHPRFQVPHVVA--SAPKVVIQEWIE | |||||||||||||
| 5 | 5yjzA1 | 0.32 | 0.31 | 9.42 | 1.02 | MUSTER | PLPASKVHRVLDGQLGTKWRERFSSFNDTPVASASIGQVHKAIWSDGREVAVKIQYPGADEALRADLKTMQRMVGVLKQLSPGADVQGVVDELVERTEMELDYRLEAANQRAFAKAYHDHPRFQVPHVVA--SAPKVVIQEWIE | |||||||||||||
| 6 | 5yjzA | 0.32 | 0.31 | 9.42 | 0.89 | HHsearch | PLPASKVHRVLDGQLGTKWRERFSSFNDTPVASASIGQVHKAIWSDGREVAVKIQYPGADEALRADLKTMQRMVGVLKQLSPGADVQGVVDELVERTEMELDYRLEAANQRAFAKAYHDHPRFQVPHVVA--SAPKVVIQEWIE | |||||||||||||
| 7 | 5yjzA | 0.32 | 0.31 | 9.41 | 1.80 | FFAS-3D | --PASKVHRVLDGQLGTKWRERFSSFNDTPVASASIGQVHKAIWSDGREVAVKIQYPGADEALRADLKTMQRMVGVLKQLSPGADVQGVVDELVERTEMELDYRLEAANQRAFAKAYHDHPRFQVPHVV--ASAPKVVIQEWIE | |||||||||||||
| 8 | 5yjzA1 | 0.26 | 0.25 | 7.72 | 1.17 | EigenThreader | PLPASKVHRVLDGQLGTKWRERFSNDTPVASAS--IGQVHKAIWSDGREVAVKIQYPGADEALRADLKTMQRMVGVLKQLSPGADVQGVVDELVERTEMELDYRLEAANQRAFAKAYHDHRFQVPHVVASAP---KVVIQEWIE | |||||||||||||
| 9 | 4pedA | 0.28 | 0.28 | 8.69 | 1.26 | CNFpred | FMPLKQMMKTLNNDLGPNWRDKLEYFEERPFAAASIGQVHLARMKGGREVAMKIQYPGVAQSINSDVNNLMAVLNMSNMLPEGLFPEHLIDVLRRELALECDYQREAACARKFRDLLKGHPFFYVPEIVDELCSPHVLTTELVS | |||||||||||||
| 10 | 5yjzA1 | 0.28 | 0.27 | 8.28 | 1.33 | DEthreader | DLPASKVHRVLDGQLGTKWRERFSSFNDTPVASASIGQVHKAIWSDGREVAVKIQYPGADEALRADLKTMQRMVGVLKLSPGADVQ-GVV-DELVERTEMLDYRLEAANQRAFAKAYHDHPRFQVPHVV--ASAPKVVIQEWIE | |||||||||||||
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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. |