| >Q7L2R6 (143 residues) KPYKCNECSKTFSHKSSLTYHRRLHTEEKPYKCNECGKTFNQQLTLNICRLHSGEKPYKC EECDKAYSFKSNLEIHQKIHTEENPYKCNECGKTFSRTSSLTYHHRLHTGQKPYKCEDCD EAFSFKSNLERHRRIYTGEKLHV |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KPYKCNECSKTFSHKSSLTYHRRLHTEEKPYKCNECGKTFNQQLTLNICRLHSGEKPYKCEECDKAYSFKSNLEIHQKIHTEENPYKCNECGKTFSRTSSLTYHHRLHTGQKPYKCEDCDEAFSFKSNLERHRRIYTGEKLHV |
| Prediction | CCCCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCHHHCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCHHHHCCCCCCCCCC |
| Confidence | 98457888865434233111002216888811788886544534410302126989812788886534433411110321588880168888653443231101032358898206878865234133111002206899999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KPYKCNECSKTFSHKSSLTYHRRLHTEEKPYKCNECGKTFNQQLTLNICRLHSGEKPYKCEECDKAYSFKSNLEIHQKIHTEENPYKCNECGKTFSRTSSLTYHHRLHTGQKPYKCEDCDEAFSFKSNLERHRRIYTGEKLHV |
| Prediction | 76451761233033414044132313443324065113303441404132303443324065123203342404413331344332406511330334140441323134433240651233033414144132313453447 |
| 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 | CCCCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCCHHHCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCHHHHCCCCCCCCCC KPYKCNECSKTFSHKSSLTYHRRLHTEEKPYKCNECGKTFNQQLTLNICRLHSGEKPYKCEECDKAYSFKSNLEIHQKIHTEENPYKCNECGKTFSRTSSLTYHHRLHTGQKPYKCEDCDEAFSFKSNLERHRRIYTGEKLHV | |||||||||||||||||||
| 1 | 5v3jE | 0.34 | 0.31 | 9.22 | 1.00 | DEthreader | PHKCK---ECGAFYDTQLSLL--AGARRFE-CK-----VYSCSQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVH-T-GDRA | |||||||||||||
| 2 | 5v3gD | 0.53 | 0.53 | 15.35 | 4.82 | SPARKS-K | KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYV | |||||||||||||
| 3 | 5v3gD | 0.52 | 0.52 | 14.97 | 1.03 | MapAlign | KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGERNK- | |||||||||||||
| 4 | 2i13A | 0.56 | 0.53 | 15.30 | 0.84 | CEthreader | KPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH------- | |||||||||||||
| 5 | 5v3jE | 0.44 | 0.44 | 12.90 | 3.29 | MUSTER | RRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYE | |||||||||||||
| 6 | 5v3jE | 0.44 | 0.44 | 12.90 | 1.62 | HHsearch | RRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYE | |||||||||||||
| 7 | 5v3gD | 0.53 | 0.52 | 15.15 | 2.05 | FFAS-3D | KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPY- | |||||||||||||
| 8 | 5v3gD | 0.48 | 0.48 | 14.03 | 1.35 | EigenThreader | KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYV | |||||||||||||
| 9 | 5v3gA | 0.52 | 0.52 | 15.16 | 7.08 | CNFpred | KPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYV | |||||||||||||
| 10 | 2i13A | 0.43 | 0.34 | 9.85 | 1.00 | DEthreader | -------------HQRTH-KP-YK-------P-------KSFKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTH-T-GEKS | |||||||||||||
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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. |