| >Q01968 (142 residues) MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINS HFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQSQ LLVPEQKDSSSWYQKLDTKDKP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQSQLLVPEQKDSSSWYQKLDTKDKP |
| Prediction | CCCCCCCCCCCSSSSSSSSSSCCCCCCSSHHHHHHCCSSSSSSSSCCCCCCCCCCSSSCCCCSSSSSCCCCSSSSSCCCCCSSSSSSCCCCCSSSSSCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 9987777755102265557635863430012555288279999615532466762232377258997275317884278745999835875225897688458999999999998866532465434443201357877799 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQSQLLVPEQKDSSSWYQKLDTKDKP |
| Prediction | 8647253354132204224244544332202124354422111323655345542121355142254145121230346340302042653451313044674035005404514644544435645447413562556668 |
| 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 | CCCCCCCCCCCSSSSSSSSSSCCCCCCSSHHHHHHCCSSSSSSSSCCCCCCCCCCSSSCCCCSSSSSCCCCSSSSSCCCCCSSSSSSCCCCCSSSSSCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCC MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQSQLLVPEQKDSSSWYQKLDTKDKP | |||||||||||||||||||
| 1 | 2kigA | 0.16 | 0.15 | 5.13 | 1.17 | DEthreader | -IETLVEGEYCVIAVQGVLC-KGSRQSRLLGLVRYRQEHALFLYTHRADVSLDQIVPLSKFMLEEVSP-DGELYILG--SDVTVQLNTAE-LKLVFQLPFGSHTRTFLQEVARACPGFDETRD-PEFEWLSRHTCA-EPDAE | |||||||||||||
| 2 | 2kieA | 1.00 | 0.84 | 23.46 | 2.44 | SPARKS-K | MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQS----------------------- | |||||||||||||
| 3 | 2kieA | 1.00 | 0.82 | 22.87 | 0.71 | MapAlign | ---PLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQS----------------------- | |||||||||||||
| 4 | 2kieA | 1.00 | 0.84 | 23.46 | 0.62 | CEthreader | MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQS----------------------- | |||||||||||||
| 5 | 2kieA | 1.00 | 0.84 | 23.46 | 1.85 | MUSTER | MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQS----------------------- | |||||||||||||
| 6 | 2kieA | 1.00 | 0.84 | 23.46 | 5.06 | HHsearch | MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQS----------------------- | |||||||||||||
| 7 | 2kieA | 1.00 | 0.84 | 23.46 | 2.03 | FFAS-3D | MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQS----------------------- | |||||||||||||
| 8 | 6vbu51 | 0.10 | 0.09 | 3.38 | 0.75 | EigenThreader | ALWEDRDPGEVLIDCLVEDTKGNNGDRGRLLVTNL----RIVWHSL---ALPRVIGYNCILNITTRTANSKL-----RGQTEALYVLNSTRFEFIFTNLVPGSPR-LYTSLIAVHRAYETSKMYRDTDADREPVFSEELGLA | |||||||||||||
| 9 | 2kieA | 1.00 | 0.84 | 23.46 | 2.38 | CNFpred | MEPPLPVGAQPLATVEGMEMKGPLREPCALTLAQRNGQYELIIQLHEKEQHVQDIIPINSHFRCVQEAEETLLIDIASNSGCKIRVQGDWIRERRFEIPDEEHCLKFLSAVLAAQKAQS----------------------- | |||||||||||||
| 10 | 6vbu5 | 0.09 | 0.07 | 2.72 | 1.17 | DEthreader | SSQMKTRPEVLIDCLDVEDTKGNNGDRGRLLVTN----LRIVWHSLAL-PRVNLSIGYILNITTRTA------NSKLRGQTEALYVLTKTRFEFIFTNVPGS-P-RLYTSLIAVHRAYETSK-MYRDLQ---------T--- | |||||||||||||
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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. |