| >Q8IZF3 (143 residues) WDNTKALLAFAIPAFVIVAVNLIVVLVVAVNTQRPSIGSSKSQDVVIIMRISKNVAILTP LLGLTWGFGIATLIEGTSLTFHIIFALLNAFQGFFILLFGTIMDHKIRDALRMRMSSLKG KSRAAENASLGPTNGSKLMNRQG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | WDNTKALLAFAIPAFVIVAVNLIVVLVVAVNTQRPSIGSSKSQDVVIIMRISKNVAILTPLLGLTWGFGIATLIEGTSLTFHIIFALLNAFQGFFILLFGTIMDHKIRDALRMRMSSLKGKSRAAENASLGPTNGSKLMNRQG |
| Prediction | CCCCCSSSHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHSSSSCCCCHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 98866130139999999999999999999999971035433212899999999999999997388764323223882279999999999968999999988638999999999984235677777787878889987488899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | WDNTKALLAFAIPAFVIVAVNLIVVLVVAVNTQRPSIGSSKSQDVVIIMRISKNVAILTPLLGLTWGFGIATLIEGTSLTFHIIFALLNAFQGFFILLFGTIMDHKIRDALRMRMSSLKGKSRAAENASLGPTNGSKLMNRQG |
| Prediction | 82633101103111231333333123302220223435554454244023103011201333333321001113443320210010100231122002100013640152024204424464444654444444445446668 |
| 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 | CCCCCSSSHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHSSSSCCCCHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCC WDNTKALLAFAIPAFVIVAVNLIVVLVVAVNTQRPSIGSSKSQDVVIIMRISKNVAILTPLLGLTWGFGIATLIEGTSLTFHIIFALLNAFQGFFILLFGTIMDHKIRDALRMRMSSLKGKSRAAENASLGPTNGSKLMNRQG | |||||||||||||||||||
| 1 | 5y9dA | 0.05 | 0.05 | 2.23 | 1.00 | DEthreader | YMYAADQLTYGALIRGRVSMIADSFHVSKRFLTIALYRIIHQRRLLPLLAYCYAMKMGADEAQKTWIETTDRILALQDL-KA--DTELAGASIYHLISSFYANFLWSIEEDTGIFL-REN--TPGDIDLNSLVDEC------- | |||||||||||||
| 2 | 5ee7A | 0.18 | 0.15 | 4.78 | 1.50 | SPARKS-K | WTNMGFWWILRFPVFLAILINFFIFVRIVQLLVAKLRA-RQMHHTDYAFRLAKSTLTLIPLLGVHFVVFAFVTDEHRS-AKLFFDLALSSFQGLLVAVLYCFLNKEVQSELRRRWHRA------------------------- | |||||||||||||
| 3 | 6i9kA | 0.06 | 0.06 | 2.47 | 0.55 | MapAlign | PMETSMHYILGMLIIVIGIISVSGNGVVMYLMM------TVKNLRPGNFLVLNLALSDFGMLFFMMPTMSINCETWVIPFMCELYGMIGSLFGSASIWSLVMILLRMLFVWIWSLGWTIAPMYGWSRYVPEGSMTSCTIDYID | |||||||||||||
| 4 | 6i9kA | 0.07 | 0.07 | 2.85 | 0.38 | CEthreader | PMETSMHYILGMLIIVIGIISVSGNGVVMYLMMTVK-----NLRTPGNFLVLNLALSDFGMLFFMMPTMSINCFAE-TWVIGPFMCELYGMIGSLFGSASIWSLVMITLDRYNVIVKGMAGKPLTKVGALLRMLFVWIWSLGW | |||||||||||||
| 5 | 5ee7A | 0.17 | 0.14 | 4.59 | 1.31 | MUSTER | WTNMGFWWILRFPVFLAILINFFIFVRIVQLLVAK-LRARQMHHTDYAFRLAKSTLTLIPLLGVHFVVFAFVTDEH-RSAKLFFDLALSSFQGLLVAVLYCFLNKEVQSELRRRWHRA------------------------- | |||||||||||||
| 6 | 6fj3A | 0.18 | 0.15 | 5.00 | 2.19 | HHsearch | WDLGNNKWIIQVPILASIVLNFILFINIVRVLATKGIDSRESDTRQQYRKLAKSTLVLMPLFGVHYIVFMLTPYTEVWQVRMHYEMLFNSFQGFFVAIAYCFCNGEVQAEIKKSWSRWTLA---------------------- | |||||||||||||
| 7 | 5ee7A | 0.18 | 0.15 | 4.77 | 1.70 | FFAS-3D | WTNMGFWWILRFPVFLAILINFFIFVRIVQLLVAKLRARQMHHT-DYAFRLAKSTLTLIPLLGVHFVVFAFVTDEHRSA-KLFFDLALSSFQGLLVAVLYCFLNKEVQSELRRRWHR-------------------------- | |||||||||||||
| 8 | 2g87A | 0.06 | 0.06 | 2.48 | 0.63 | EigenThreader | LAEPWQFSMLAAYMFLLIMLGFPINFLTLYVTVQHKKLRT-----PLNYILLNLAVADLFMVFGGFTTTLYTSLHVFGPTGCNLEGFFATLGGEIALWSLVVLAIERYVVVCESFVIYMFVVHFIIPLIVIFFCYGQLVFTVK | |||||||||||||
| 9 | 5ee7A | 0.17 | 0.13 | 4.36 | 0.91 | CNFpred | --NMGFWWILRFPVFLAILINFFIFVRIVQLLVAKLRARQMHHT-DYAFRLAKSTLTLIPLLGVHFVVFAFVTDE--RSAKLFFDLALSSFQGLLVAVLYCFLNKEVQSELRRRWH--------------------------- | |||||||||||||
| 10 | 2q13A | 0.08 | 0.06 | 2.52 | 1.00 | DEthreader | YNLYQAMHRIYDAQNELSAATHLTSKLLKEYEKQRFPL--DEVMSSTLQQFSKVIDELSSCHAVLSTQLADAMMPIEPLLGYMQAQISFFKMGSENLN--EQLEEFLANIG----------------------TSVQNVRREM | |||||||||||||
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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. |