| >A0A3B3IU63 (148 residues) MAGNKMFCRPRRQRLSHSRRAELQFPVSHLERCLRESQHARHLSSTTPVFLAGVLEYLTA NILEKVGKEVKNSCRLCITPEHVKRALQKDEQLRWILELEDDTHSQVEEMPQSEEEEEEE EEKEEEMVVLVVMGGRRRRRRRRRRKDS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAGNKMFCRPRRQRLSHSRRAELQFPVSHLERCLRESQHARHLSSTTPVFLAGVLEYLTANILEKVGKEVKNSCRLCITPEHVKRALQKDEQLRWILELEDDTHSQVEEMPQSEEEEEEEEEKEEEMVVLVVMGGRRRRRRRRRRKDS |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCSCCCHHHHHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHCCHHHHHHHCCCCCSSCCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 9998889887777766554467106658999987427521112678616899999999999999999999971887015999999997058899986455503426777899653334665544332334567875445778886689 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAGNKMFCRPRRQRLSHSRRAELQFPVSHLERCLRESQHARHLSSTTPVFLAGVLEYLTANILEKVGKEVKNSCRLCITPEHVKRALQKDEQLRWILELEDDTHSQVEEMPQSEEEEEEEEEKEEEMVVLVVMGGRRRRRRRRRRKDS |
| Prediction | 7655565556565544444434030214302310434433421443102101300220033014333420453544402330042005426303401633513214244235356644665665654455555756556756565688 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCSCCCHHHHHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHCCHHHHHHHCCCCCSSCCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC MAGNKMFCRPRRQRLSHSRRAELQFPVSHLERCLRESQHARHLSSTTPVFLAGVLEYLTANILEKVGKEVKNSCRLCITPEHVKRALQKDEQLRWILELEDDTHSQVEEMPQSEEEEEEEEEKEEEMVVLVVMGGRRRRRRRRRRKDS | |||||||||||||||||||
| 1 | 4khaA | 0.08 | 0.06 | 2.39 | 0.83 | DEthreader | KDMPIRGYPLILVFHEGLNLQRKESYAIYVYKVLKQVHPDTGISSKAMSIMNSFVNDVFERIAGEASRLAHYNKRSTITSREIQTAVRLLLPGELAKH-AVSEGKAVTKYTS------------------------------------ | |||||||||||||
| 2 | 1kx5C | 0.31 | 0.27 | 8.16 | 1.90 | SPARKS-K | -SGRGKGGKTRAKAKTRSSRAGLQFPVGRVHRLLRKGNYAERVGAGAPVYLAAVLEYLTAEILELAGNAARDNKKTRIIPRHLQLAVRNDEELNKLLG--RVTIAQGGVLPNIQSVLLPKKTES----------SKSKSK-------- | |||||||||||||
| 3 | 2f8nG | 0.29 | 0.20 | 6.16 | 0.92 | MapAlign | --------------TSRSAKAGVIFPVGRMLRYIKKGHPKYRIGVGAPVYMAAVLEYLTAEILELAVNAARDNKKGRVTPRHILLAVANDEELNQLLKGVTIASGGVLPNIHPELL-------------------------------- | |||||||||||||
| 4 | 2f8nG | 0.29 | 0.21 | 6.39 | 0.84 | CEthreader | -----------STKTSRSAKAGVIFPVGRMLRYIKKGHPKYRIGVGAPVYMAAVLEYLTAEILELAVNAARDNKKGRVTPRHILLAVANDEELNQLLK--GVTIASGGVLPNIHPELLAKK--------------------------- | |||||||||||||
| 5 | 1kx5C | 0.31 | 0.27 | 8.16 | 2.40 | MUSTER | -SGRGKGGKTRAKAKTRSSRAGLQFPVGRVHRLLRKGNYAERVGAGAPVYLAAVLEYLTAEILELAGNAARDNKKTRIIPRHLQLAVRNDEELNKLLG--RVTIAQGGVLPNIQSVLLPKKTE------SSKSKSK------------ | |||||||||||||
| 6 | 1kx5C | 0.31 | 0.27 | 8.16 | 3.41 | HHsearch | -SGRGKQGKTRAKAKTRSSRAGLQFPVGRVHRLLRKGNYAERVGAGAPVYLAAVLEYLTAEILELAGNAARDNKKTRIIPRHLQLAVRNDEELNKLLG--RVTIAQGGVLPNIQSVLLPKKTESSKSK-------SK----------- | |||||||||||||
| 7 | 1kx5C | 0.33 | 0.27 | 8.13 | 1.84 | FFAS-3D | -SGRGKGGKTRAKAKTRSSRAGLQFPVGRVHRLLRKGNYAERVGAGAPVYLAAVLEYLTAEILELAGNAARDNKKTRIIPRHLQLAVRNDEELNKLLG--RVTIAQGGVLPNIQSVLLPKKTESSK---------------------- | |||||||||||||
| 8 | 1kx5C | 0.30 | 0.26 | 7.98 | 0.92 | EigenThreader | SGRGKQGGKTRAKAKTRSSRAGLQFPVGRVHRLLRKGNYAERVGAGAPVYLAAVLEYLTAEILELAGNAARDNKKTRIIPRHLQLAVRNDEELNKLLGRVTIA--QGGVLPNIQSVLLPKKTES-----------------SKSKSK- | |||||||||||||
| 9 | 5veyA | 0.39 | 0.24 | 7.20 | 1.06 | CNFpred | ------------SAKTRSSRAGLQFPVGRVHRLLRKGNYSERVGAGAPVYLAAVLEYLTAEILELAGNAARDNKKTRIIPRHLQLAIRNDEELNKLLG--RVTIAQG----------------------------------------- | |||||||||||||
| 10 | 4w8yA1 | 0.10 | 0.08 | 2.99 | 0.83 | DEthreader | ---------------KIENHEERSI-IDFLGYTLEKYDLGSNRGERFVNEFLERVSKLEGDVLKEVFEDASNKFKQWYIWQFYPVKLK-E-GVKEFAKLAEKAEVNW-RDQNLPNAGG-DDVLAGLARLLLAIGLLKR---------- | |||||||||||||
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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. |