| >Q96A72 (148 residues) MAVASDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVME ELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEG LRVFYYLVQDLKCLVFSLIGLHFKIKPI |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAVASDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKPI |
| Prediction | CCCCCCSSSSSSSCCCCCCCCSSSSSSSCCCCSSSSSCCCCCCCCCSSSSSSSSCHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCSSSSSSSCCSSSSSSSCCCCCHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHSCCCCC |
| Confidence | 9988755999982567864204799984699817763157777763267776625999999999998851011343339999977642699998996899995365542110137894067889999999999999999874101259 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAVASDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKPI |
| Prediction | 7655541001112334452033103132357132211335435534213330303420152045106414124333751266654044303031445211021442332340453742610320110033030102100222242458 |
| 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 | CCCCCCSSSSSSSCCCCCCCCSSSSSSSCCCCSSSSSCCCCCCCCCSSSSSSSSCHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCSSSSSSSCCSSSSSSSCCCCCHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHSCCCCC MAVASDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKPI | |||||||||||||||||||
| 1 | 1p27A | 0.98 | 0.93 | 26.13 | 1.33 | DEthreader | -ES-D-FYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFK---- | |||||||||||||
| 2 | 1p27A | 0.99 | 0.97 | 27.06 | 6.03 | SPARKS-K | ---ESDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKP- | |||||||||||||
| 3 | 1p27A | 0.99 | 0.95 | 26.68 | 1.50 | MapAlign | ---ESDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKI--- | |||||||||||||
| 4 | 1p27A | 0.99 | 0.97 | 27.06 | 1.64 | CEthreader | ---ESDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKP- | |||||||||||||
| 5 | 1p27A | 0.99 | 0.97 | 27.06 | 4.25 | MUSTER | ---ESDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKP- | |||||||||||||
| 6 | 1p27A | 0.99 | 0.97 | 27.06 | 10.00 | HHsearch | ---ESDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKP- | |||||||||||||
| 7 | 1p27A | 0.99 | 0.97 | 27.06 | 2.87 | FFAS-3D | ---ESDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKP- | |||||||||||||
| 8 | 1p27A | 0.92 | 0.88 | 24.68 | 1.33 | EigenThreader | ---ESDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNY--KNDVMIRKEAYKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKP- | |||||||||||||
| 9 | 2hyiA | 1.00 | 0.97 | 27.24 | 2.79 | CNFpred | ----SDFYLRYYVGHKGKFGHEFLEFEFRPDGKLRYANNSNYKNDVMIRKEAYVHKSVMEELKRIIDDSEITKEDDALWPPPDRVGRQELEIVIGDEHISFTTSKIGSLIDVNQSKDPEGLRVFYYLVQDLKCLVFSLIGLHFKIKPI | |||||||||||||
| 10 | 4penA1 | 0.07 | 0.05 | 1.99 | 0.83 | DEthreader | ------RPGTFLLESARSWSRWSFIGGAPGAVATDVAAVDHH-EGTITLIANAVNWN------------------EMDVYLRNPSPMYLLQVPNDAVDFSIVGSSPEALAGTLS--RRGLYGG-V-VGY--L--DFAG---------- | |||||||||||||
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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. |