| >Q9HCX3 (142 residues) GKRHYTCSECGKAFSRKDTLVQHQRVHTGERSYDCSECGKAYSRSSHLVQHQRIHTGERP YKCNKCGKAFSRKDTLVQHQRFHTGERPYECSECGKFFSQSSHLIEHWRIHTGARPYECI ECGKFFSHNSSLIKHRRVHTGA |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GKRHYTCSECGKAFSRKDTLVQHQRVHTGERSYDCSECGKAYSRSSHLVQHQRIHTGERPYKCNKCGKAFSRKDTLVQHQRFHTGERPYECSECGKFFSQSSHLIEHWRIHTGARPYECIECGKFFSHNSSLIKHRRVHTGA |
| Prediction | CCCCCCCCCCCCSSCCCCCCHHSHCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCHHHHHCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCHHHHCCCCCCC |
| Confidence | 9988416888865344444111002115889811687876424433431120322588981278787652453442232032058898117888865344234100102125888802788886424432202100123799 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GKRHYTCSECGKAFSRKDTLVQHQRVHTGERSYDCSECGKAYSRSSHLVQHQRIHTGERPYKCNKCGKAFSRKDTLVQHQRFHTGERPYECSECGKFFSQSSHLIEHWRIHTGARPYECIECGKFFSHNSSLIKHRRVHTGA |
| Prediction | 8744351773113033414034133313213314476322103342404403231221232447441200233240341333134433263774123033414044133313333326477421303341414413332468 |
| 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 | CCCCCCCCCCCCSSCCCCCCHHSHCCSCCCCCSCCCCCCCSSCCCCCCCCSCCCSCCCCCSCCCCCCCSSCCCCCHHHHHCCCCCCCCSCCCCCCCSSCCCCCCCCSSCCSCCCCCSCCCCCCCSSCCCCCHHHHCCCCCCC GKRHYTCSECGKAFSRKDTLVQHQRVHTGERSYDCSECGKAYSRSSHLVQHQRIHTGERPYKCNKCGKAFSRKDTLVQHQRFHTGERPYECSECGKFFSQSSHLIEHWRIHTGARPYECIECGKFFSHNSSLIKHRRVHTGA | |||||||||||||||||||
| 1 | 2i13A | 0.51 | 0.49 | 14.08 | 1.33 | DEthreader | -KPYKCP--ECGKSFSKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH--- | |||||||||||||
| 2 | 6ml2A | 0.45 | 0.44 | 12.77 | 4.71 | SPARKS-K | -SKSFTCDQCGKYFSQKRQLKSHYRVHTS--LPECSHCHRKFMDVSQLKKHLRTHTGEKPFTCEICGKSFTAKSSLQTHIRIHRGEKPYSCSICGKCFSDSSAKRRHCILHTGKKPFSCPECGLQFARLDNLKAHLKIHSKE | |||||||||||||
| 3 | 2i13A | 0.55 | 0.54 | 15.43 | 1.05 | MapAlign | THKPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH--- | |||||||||||||
| 4 | 2i13A | 0.55 | 0.54 | 15.43 | 0.84 | CEthreader | THKPYKCPECGKSFSDKKDLTRHQRTHTGEKPYKCPECGKSFSQRANLRAHQRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGKSFSRRDALNVHQRTH--- | |||||||||||||
| 5 | 5v3jE | 0.51 | 0.50 | 14.49 | 3.38 | MUSTER | GEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT-- | |||||||||||||
| 6 | 5v3jE | 0.51 | 0.50 | 14.49 | 1.64 | HHsearch | GEKPHKCKECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKECGKTFGRGSELSRHQKIHT-- | |||||||||||||
| 7 | 5v3gD | 0.53 | 0.53 | 15.25 | 2.15 | FFAS-3D | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTG- | |||||||||||||
| 8 | 5v3gD | 0.53 | 0.53 | 15.26 | 1.38 | EigenThreader | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 9 | 5v3gA | 0.53 | 0.53 | 15.26 | 7.68 | CNFpred | SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
| 10 | 5t0uA | 0.31 | 0.30 | 8.95 | 1.33 | DEthreader | --T-HKCH-LCGRAFRVTLLRNHLNTHTGTRPHKCPDCDMAFVTSGELVRHRRYHTHEKPFKCSMCDYASVEVSKLKRHIRSHTGERPFQCSLCSYASRDTYKLKRHMRT-HSGEKPYEYICHARFTQSGTMKMHILQKHTE | |||||||||||||
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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. |