| >Q59H18 (142 residues) DTPLHLACYNGKFEVAKEIIQISGTESLTKENIFSETAFHSACTYGKSIDLVKFLLDQNV ININHQGRDGHTGLHSACYHGHIRLVQFLLDNGADMNLVACDPSRSSGEKDEQTCLMWAY EKGHDAIVTLLKHYKRPQDELP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DTPLHLACYNGKFEVAKEIIQISGTESLTKENIFSETAFHSACTYGKSIDLVKFLLDQNVININHQGRDGHTGLHSACYHGHIRLVQFLLDNGADMNLVACDPSRSSGEKDEQTCLMWAYEKGHDAIVTLLKHYKRPQDELP |
| Prediction | CCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHCCCHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCC |
| Confidence | 9679999992988999999990998774356999988899999939946788988980998876668989988999999395999999999099878655544322358999788999999493999999999099944498 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DTPLHLACYNGKFEVAKEIIQISGTESLTKENIFSETAFHSACTYGKSIDLVKFLLDQNVININHQGRDGHTGLHSACYHGHIRLVQFLLDNGADMNLVACDPSRSSGEKDEQTCLMWAYEKGHDAIVTLLKHYKRPQDELP |
| Prediction | 8201010034332300403074415241555165432030100344342300301064405424442654320101003432220010106340402344454545441544300100003341430010007461546638 |
| 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 | CCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHCCCHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCC DTPLHLACYNGKFEVAKEIIQISGTESLTKENIFSETAFHSACTYGKSIDLVKFLLDQNVININHQGRDGHTGLHSACYHGHIRLVQFLLDNGADMNLVACDPSRSSGEKDEQTCLMWAYEKGHDAIVTLLKHYKRPQDELP | |||||||||||||||||||
| 1 | 5le2A | 0.27 | 0.25 | 7.56 | 1.50 | DEthreader | FTPLHLAAWEGHLGIVEVLLKNGA--DVNANDERGHTPLHLAAYTG-HLEIVEVLLKN-GAGVNATDVIGTAPLHLAAMWGHLEIVEVLLKNGADVRAQDK---------FGKTPKDLARDNGNEWIRELLEKAEKKLDRKE | |||||||||||||
| 2 | 6molA4 | 0.30 | 0.27 | 8.12 | 2.15 | SPARKS-K | -TPLHEAARAGHLEIVEVLLKYGA--DVNAVDAAGGTPLHEAARAGH-LEIVEVLLKYGA-DVNAVDAAGGTPLHEAARAGHLEIVEVLLKYGADVNA---------VDAAGGTPLHEAARAGHLEIVEVLLKYGADVNAV- | |||||||||||||
| 3 | 1n0rA | 0.34 | 0.30 | 8.85 | 0.45 | MapAlign | RTPLHLAARNGHLEVVKLLLEA--GADVNAKDKNGRTPLHLAARNG-HLEVVKLLLEA-GADVNAKDKNGRTPLHLAARNGHLEVVKLLLEAGADVNAKDK---------NGRTPLHLAARNGHLEVVKLLLEAG------- | |||||||||||||
| 4 | 1n0rA | 0.35 | 0.30 | 9.05 | 0.30 | CEthreader | RTPLHLAARNGHLEVVKLLLEAG--ADVNAKDKNGRTPLHLAARNG-HLEVVKLLLEAG-ADVNAKDKNGRTPLHLAARNGHLEVVKLLLEAGADVNAKD---------KNGRTPLHLAARNGHLEVVKLLLEAGAY----- | |||||||||||||
| 5 | 6molA4 | 0.30 | 0.27 | 8.12 | 1.88 | MUSTER | -TPLHEAARAGHLEIVEVLLKYGA--DVNAVDAAGGTPLHEAARAGH-LEIVEVLLKYGA-DVNAVDAAGGTPLHEAARAGHLEIVEVLLKYGADVN---------AVDAAGGTPLHEAARAGHLEIVEVLLKYGADVNAV- | |||||||||||||
| 6 | 6mwqA | 0.26 | 0.23 | 7.18 | 0.95 | HHsearch | GKKLLEAARAGQDDEVRILMANGAD--VNALDRFGLTPLHLAAQRGH-LEIVEVLLKCGA-DVNAADLWGQTPLHLAATAGHLEIVEVLLKYGADVNAL---------DLIGKTPLHLTAIDGHLEIVEVLLKHGADVNAQD | |||||||||||||
| 7 | 6molA4 | 0.30 | 0.27 | 8.12 | 1.97 | FFAS-3D | -TPLHEAARAGHLEIVEVLLKYGAD--VNAVDAAGGTPLHEAARAGH-LEIVEVLLKYGAD-VNAVDAAGGTPLHEAARAGHLEIVEVLLKYGADVN---------AVDAAGGTPLHEAARAGHLEIVEVLLKYGADVNAV- | |||||||||||||
| 8 | 1wdyA | 0.24 | 0.23 | 7.25 | 0.83 | EigenThreader | WTPLHNAVQMSREDIVELLLRH--GADPVLRKKNGATPFLLAAIAGS-VKLLKLFLSK-GADVNECDFYGFTAFMEAAVYGKVKALKFLYKRGANVNLRRKTKEDQERLKGGATALMDAAEKGHVEVLKILLDEMGADVNAC | |||||||||||||
| 9 | 4rlvA | 0.32 | 0.29 | 8.70 | 1.51 | CNFpred | FTPLHIAAHYGNVNVATLLLNRGAAVDF--TARNGITPLHVASKRG-NTNMVKLLLDRGG-QIDAKTRDGLTPLHCAARSGHDQVVELLLERGAPLLAR---------TKNGLSPLHMAAQGDHVECVKHLLQHKAPVDDVT | |||||||||||||
| 10 | 5le2A3 | 0.27 | 0.25 | 7.56 | 1.50 | DEthreader | FTPLHLAAWEGHLGIVEVLLKNGA--DVNANDERGHTPLHLAAYTG-HLEIVEVLLKN-GAGVNATDVIGTAPLHLAAMWGHLEIVEVLLKNGADVRAQDK---------FGKTPKDLARDNGNEWIRELLEKAEKKLDRKE | |||||||||||||
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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. |