| >Q8TB69 (140 residues) EKPFKCKECGKAFNRASHLTQHQRIHTGEKHFKCKECGKAFNRGSHLTRHQRIHTGEKSF KCEECGKAFIWGSHLTQHQRVHTGEKFFKCKECGKAFTRSSHLTQHQRIHTGEKPFKCKE CGKAFNRRSTLTQHQIIHTR |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EKPFKCKECGKAFNRASHLTQHQRIHTGEKHFKCKECGKAFNRGSHLTRHQRIHTGEKSFKCEECGKAFIWGSHLTQHQRVHTGEKFFKCKECGKAFTRSSHLTQHQRIHTGEKPFKCKECGKAFNRRSTLTQHQIIHTR |
| Prediction | CCCCCCCCCCCSSCCCCCHHHHHCCCCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCHHHHHCCSCCCCCSCCCCCCCSSCCCCCHHHHHCCSCCCCCSCCCCCCCSCCCCCCHHHHHCCCCC |
| Confidence | 97844688876534432313231220588982168887653444332100131258898217988765344332122203225889803788886534432302221321588982278788640443331232111259 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EKPFKCKECGKAFNRASHLTQHQRIHTGEKHFKCKECGKAFNRGSHLTRHQRIHTGEKSFKCEECGKAFIWGSHLTQHQRVHTGEKFFKCKECGKAFTRSSHLTQHQRIHTGEKPFKCKECGKAFNRRSTLTQHQIIHTR |
| Prediction | 85436476412303341404413331334332637742130334241441333133433263764213033414144133313443326377421303342404413331333332637742130334241441334248 |
| 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 | CCCCCCCCCCCSSCCCCCHHHHHCCCCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCHHHHHCCSCCCCCSCCCCCCCSSCCCCCHHHHHCCSCCCCCSCCCCCCCSCCCCCCHHHHHCCCCC EKPFKCKECGKAFNRASHLTQHQRIHTGEKHFKCKECGKAFNRGSHLTRHQRIHTGEKSFKCEECGKAFIWGSHLTQHQRVHTGEKFFKCKECGKAFTRSSHLTQHQRIHTGEKPFKCKECGKAFNRRSTLTQHQIIHTR | |||||||||||||||||||
| 1 | 2i13A | 0.48 | 0.46 | 13.29 | 1.17 | DEthreader | KPKCPE----CGKSFKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHT-GEKPYKCPCGKSFSRRDALNVH-QRT-H | |||||||||||||
| 2 | 6ml2A | 0.46 | 0.45 | 13.14 | 4.69 | SPARKS-K | SKSFTCDQCGKYFSQKRQLKSHYRVHTSLP--ECSHCHRKFMDVSQLKKHLRTHTGEKPFTCEICGKSFTAKSSLQTHIRIHRGEKPYSCSICGKCFSDSSAKRRHCILHTGKKPFSCPECGLQFARLDNLKAHLKIHSK | |||||||||||||
| 3 | 2i13A | 0.60 | 0.59 | 16.79 | 1.03 | MapAlign | -KPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH-- | |||||||||||||
| 4 | 2i13A | 0.59 | 0.59 | 16.80 | 0.84 | CEthreader | HKPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH-- | |||||||||||||
| 5 | 5v3jE | 0.63 | 0.63 | 17.96 | 3.44 | MUSTER | EKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT- | |||||||||||||
| 6 | 5v3jE | 0.63 | 0.63 | 17.96 | 1.64 | HHsearch | EKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT- | |||||||||||||
| 7 | 5v3gD | 0.55 | 0.55 | 15.85 | 2.13 | FFAS-3D | EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTG | |||||||||||||
| 8 | 5v3gD | 0.55 | 0.55 | 15.85 | 1.35 | EigenThreader | EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTG | |||||||||||||
| 9 | 5v3gA | 0.55 | 0.55 | 15.85 | 7.55 | CNFpred | EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTG | |||||||||||||
| 10 | 5t0uA | 0.32 | 0.31 | 9.24 | 1.17 | DEthreader | THKCHL----CGRAFVTLLRNHLNTHTGTRPHKCPDCDMAFVTSGELVRHRRYHTHEKPFKCSMCDYASVEVSKLKRHIRSHTGERPFQCSLCSYASRDTYKLKRHMRT-HSGEKPYECYCHARFTQSGTMKMHILKH-- | |||||||||||||
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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. |