| >Q13285 (142 residues) MDYSYDEDLDELCPVCGDKVSGYHYGLLTCESCKGFFKRTVQNNKHYTCTESQSCKIDKT QRKRCPFCRFQKCLTVGMRLEAVRADRMRGGRNKFGPMYKRDRALKQQKKAQIRANGFKL ETGPPMGVPPPPPPAPDYVLPP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MDYSYDEDLDELCPVCGDKVSGYHYGLLTCESCKGFFKRTVQNNKHYTCTESQSCKIDKTQRKRCPFCRFQKCLTVGMRLEAVRADRMRGGRNKFGPMYKRDRALKQQKKAQIRANGFKLETGPPMGVPPPPPPAPDYVLPP |
| Prediction | CCCCCCCCCCCSCCCCCCCCCCSSCCCSCCCCHHHHHHHHSHCCCSSSCCCCCCCSSCCHHHCCCHHHHHHHHHHHCCCHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 9977778888536435861668445721266200545654116972782899974355022113867785999995898777431545454333321344444444200001245566667888778899999899888999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MDYSYDEDLDELCPVCGDKVSGYHYGLLTCESCKGFFKRTVQNNKHYTCTESQSCKIDKTQRKRCPFCRFQKCLTVGMRLEAVRADRMRGGRNKFGPMYKRDRALKQQKKAQIRANGFKLETGPPMGVPPPPPPAPDYVLPP |
| Prediction | 7546478536420300104013310102004103100220145635040477750502263144032001430252114460135655454565455545654446646545454754535454546344534444745458 |
| 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 | CCCCCCCCCCCSCCCCCCCCCCSSCCCSCCCCHHHHHHHHSHCCCSSSCCCCCCCSSCCHHHCCCHHHHHHHHHHHCCCHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC MDYSYDEDLDELCPVCGDKVSGYHYGLLTCESCKGFFKRTVQNNKHYTCTESQSCKIDKTQRKRCPFCRFQKCLTVGMRLEAVRADRMRGGRNKFGPMYKRDRALKQQKKAQIRANGFKLETGPPMGVPPPPPPAPDYVLPP | |||||||||||||||||||
| 1 | 3dzyA | 0.44 | 0.31 | 9.07 | 0.83 | DEthreader | --------K-HICAICGDRSSGKHYGVYSCEGCKGFFKRTVRKDLTYTCRDNKDCLIDKRQRNRCQYCRYQKCLAMGMKREAVQEE---R-QRGK-R------LPDDQVILLRAGWFEML---------------------- | |||||||||||||
| 2 | 2ff0A | 1.00 | 0.72 | 20.11 | 3.77 | SPARKS-K | ---------DELCPVCGDKVSGYHYGLLTCESCKGFFKRTVQNNKHYTCTESQSCKIDKTQRKRCPFCRFQKCLTVGMRLEAVRADRMRGGRNKFGPMYKRDRALKQQKKA------------------------------- | |||||||||||||
| 3 | 1kb6B | 0.32 | 0.23 | 6.78 | 1.18 | MapAlign | ---------PRICGVCGDRATGFHFNAMTCEGCKGFFRRSMKRKALFTCPFNGDCRITKDNRRHCQACRLKRCVDIGMMKEFI----------LTDEEVQRKREMILKRKEEEALKDS------------------------ | |||||||||||||
| 4 | 1kb6B | 0.34 | 0.24 | 7.18 | 1.00 | CEthreader | ---------PRICGVCGDRATGFHFNAMTCEGCKGFFRRSMKRKALFTCPFNGDCRITKDNRRHCQACRLKRCVDIGMMKEFILTDEEVQRKREMILKRKEEEALKDSLR-------------------------------- | |||||||||||||
| 5 | 2ff0A | 1.00 | 0.72 | 20.11 | 2.82 | MUSTER | ---------DELCPVCGDKVSGYHYGLLTCESCKGFFKRTVQNNKHYTCTESQSCKIDKTQRKRCPFCRFQKCLTVGMRLEAVRADRMRGGRNKFGPMYKRDRALKQQKKA------------------------------- | |||||||||||||
| 6 | 4nqaB | 0.32 | 0.29 | 8.71 | 3.15 | HHsearch | KGPAPKMLGHELCRVCGDKASGFHYNVLSCEGCKGFFRRSVVRGRRYACRGGGTCQMDAFMRRKCQQCRLRKCKEAGMREQCVLSEEQIRKKKIR--------K--QQQQ-ESQSQSQS-PVGPQGSSSQGSGEGEGVQLTA | |||||||||||||
| 7 | 2ff0A | 1.00 | 0.71 | 19.92 | 1.30 | FFAS-3D | ---------DELCPVCGDKVSGYHYGLLTCESCKGFFKRTVQNNKHYTCTESQSCKIDKTQRKRCPFCRFQKCLTVGMRLEAVRADRMRGGRNKFGPMYKRDRALKQQKK-------------------------------- | |||||||||||||
| 8 | 1kb6B | 0.32 | 0.23 | 6.80 | 1.15 | EigenThreader | ---------PRICGVCGDRATGFHFNAMTCEGCKGFFRRSMKRKALFTCPFNGDCRITKDNRRHCQACRLKRCVDIGMMKEFI--------LT---DEEVQRKREMILKRKEEEALKDSLR--------------------- | |||||||||||||
| 9 | 2ff0A | 1.00 | 0.72 | 20.11 | 4.31 | CNFpred | ---------DELCPVCGDKVSGYHYGLLTCESCKGFFKRTVQNNKHYTCTESQSCKIDKTQRKRCPFCRFQKCLTVGMRLEAVRADRMRGGRNKFGPMYKRDRALKQQKKA------------------------------- | |||||||||||||
| 10 | 1lo1A | 0.49 | 0.30 | 8.59 | 0.83 | DEthreader | -----AIP-KRLCLVCGDIASGYHYGVASCEACKAFFKRTIQGNIEYSCPATNECEITKRRRKSCQACRFMKALKVGMLKEGVRLRVRG------------------------------------------------KYK-- | |||||||||||||
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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. |