| >Q6ZN19 (139 residues) PYKCNECGKVFSQHSHLAVHQRVHTGEKPYKCNECGKAFNWGSLLTVHQRIHTGEKPYKC NVCGKVFNYGGYLSVHMRCHTGEKPLHCNKCGMVFTYYSCLARHQRMHTGEKPYKCNVCG KVFIDSGNLSIHRRSHTGE |
| Sequence |
20 40 60 80 100 120 | | | | | | PYKCNECGKVFSQHSHLAVHQRVHTGEKPYKCNECGKAFNWGSLLTVHQRIHTGEKPYKCNVCGKVFNYGGYLSVHMRCHTGEKPLHCNKCGMVFTYYSCLARHQRMHTGEKPYKCNVCGKVFIDSGNLSIHRRSHTGE |
| Prediction | CCCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCCCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCHHHCCCCCCC |
| Confidence | 9877878865444233210002205888812788886524434420110323589980278888651453442001032058998116888875145334100103225889911787876513433411100233799 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 | | | | | | PYKCNECGKVFSQHSHLAVHQRVHTGEKPYKCNECGKAFNWGSLLTVHQRIHTGEKPYKCNVCGKVFNYGGYLSVHMRCHTGEKPLHCNKCGMVFTYYSCLARHQRMHTGEKPYKCNVCGKVFIDSGNLSIHRRSHTGE |
| Prediction | 8544721322033424044132313443315175413202342414413331321342447313100344241441323122234244731321033414044133313312314474423002332414413342468 |
| 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 | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCCCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCCHHHCCCCCCC PYKCNECGKVFSQHSHLAVHQRVHTGEKPYKCNECGKAFNWGSLLTVHQRIHTGEKPYKCNVCGKVFNYGGYLSVHMRCHTGEKPLHCNKCGMVFTYYSCLARHQRMHTGEKPYKCNVCGKVFIDSGNLSIHRRSHTGE | |||||||||||||||||||
| 1 | 2i13A | 0.43 | 0.39 | 11.40 | 1.17 | DEthreader | KCPE-----CGKSLTRHQRTHTG--E-KPYKCP-ECGKSFQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRT--H- | |||||||||||||
| 2 | 5v3gD | 0.58 | 0.58 | 16.73 | 5.08 | SPARKS-K | PYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 3 | 2i13A | 0.57 | 0.56 | 16.13 | 1.03 | MapAlign | PYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH--- | |||||||||||||
| 4 | 2i13A | 0.57 | 0.56 | 16.13 | 0.82 | CEthreader | PYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH--- | |||||||||||||
| 5 | 5v3jE | 0.54 | 0.53 | 15.36 | 3.38 | MUSTER | PHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT-- | |||||||||||||
| 6 | 5v3jE | 0.54 | 0.53 | 15.36 | 1.59 | HHsearch | PHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT-- | |||||||||||||
| 7 | 5v3gD | 0.58 | 0.58 | 16.73 | 2.08 | FFAS-3D | PYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 8 | 5t0uA | 0.37 | 0.37 | 11.10 | 1.37 | EigenThreader | THKCHLCGRAFRTVTLLRNHLNTHTGTRPHKCPDCDMAFVTSGELVRHRRYKHHEKPFKCSMCDYASVEVSKLKRHIRSHTGERPFQCSLCSYASRDTYKLKRHMRTHSGEKPYECYICHARFTQSGTMKMHILQKHTE | |||||||||||||
| 9 | 5v3gA | 0.58 | 0.58 | 16.73 | 8.51 | CNFpred | PYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 10 | 5v3jE | 0.40 | 0.39 | 11.46 | 1.17 | DEthreader | CFECKECGKAFMRPSHLLRHQRIHTGEKPHKCKCGKAFR-YDTQLSLHLL-THAARRFECK-DCDKVYSCSQLALHQMSHTGEKPHKCK-ECGKGFISSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGK | |||||||||||||
| ||||||||||||||||||||
|
Top 10 structural analogs in PDB (as identified by
TM-align)
|
|
Top 5 enzyme homologs in PDB
|
Template proteins with similar binding site:
|
| 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. |