| >P35080 (140 residues) MAGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPIEIDMIVGKDREGFF TNGLTLGAKKCSVIRDSLYVDGDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVH GGGLNKKAYSMAKYLRDSGF |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPIEIDMIVGKDREGFFTNGLTLGAKKCSVIRDSLYVDGDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF |
| Prediction | CCCHHHHHHHHHCCCCCCSSSSSSCCCCCCSSSSCCCCCCCCCCHHHHHHHHHCCCHHHCCCCSSSCCSSSSSSSCCCCCCCCCSSSSSSSCCCCCCCCSSSSSSCCCSSSSSSCCCCCCHHHHHHHHHHHHHHHHHHCC |
| Confidence | 98278999986036872369999478997279975999756689999999996282120136704666699997155445786127875311588886239999859599999907999826899999999999998199 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPIEIDMIVGKDREGFFTNGLTLGAKKCSVIRDSLYVDGDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF |
| Prediction | 87524410230135540430000025444200021664424614361044015524640333203334431211334344565221313334466554210001214300000014662534401410240052037468 |
| 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 | CCCHHHHHHHHHCCCCCCSSSSSSCCCCCCSSSSCCCCCCCCCCHHHHHHHHHCCCHHHCCCCSSSCCSSSSSSSCCCCCCCCCSSSSSSSCCCCCCCCSSSSSSCCCSSSSSSCCCCCCHHHHHHHHHHHHHHHHHHCC MAGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPIEIDMIVGKDREGFFTNGLTLGAKKCSVIRDSLYVDGDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF | |||||||||||||||||||
| 1 | 2vk3A | 0.88 | 0.86 | 24.32 | 1.33 | DEthreader | GSGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPAEIDVIIGKDREGFFTNGLTLGGKKCSVIRDSLYV--DSDCTMDIRTKSGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF | |||||||||||||
| 2 | 2vk3A | 0.96 | 0.96 | 27.04 | 3.03 | SPARKS-K | MAGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPAEIDVIIGKDREGFFTNGLTLGGKKCSVIRDSLYVDSDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF | |||||||||||||
| 3 | 1awiA | 0.56 | 0.54 | 15.43 | 1.42 | MapAlign | ---WNAYIDNLMADGTCQDAAIVGYKDSPSVWAAVPGKTFVNITPAEVGVLVGKDRSSFYVNGLTLGGQKCSVIRDSLL-QDGEF-SMDLRTKGGAPTFNVTVTKTDKTLVLLMGKEGVHGGLINKKCYEMASHLRRSQY | |||||||||||||
| 4 | 1awiA | 0.61 | 0.60 | 17.19 | 1.26 | CEthreader | --GWNAYIDNLMADGTCQDAAIVGYKDSPSVWAAVPGKTFVNITPAEVGVLVGKDRSSFYVNGLTLGGQKCSVIRDSLLQDGEFSMDLRTKSTGGAPTFNVTVTKTDKTLVLLMGKEGVHGGLINKKCYEMASHLRRSQY | |||||||||||||
| 5 | 2vk3A | 0.96 | 0.96 | 27.04 | 2.61 | MUSTER | MAGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPAEIDVIIGKDREGFFTNGLTLGGKKCSVIRDSLYVDSDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF | |||||||||||||
| 6 | 2vk3A | 0.96 | 0.96 | 27.04 | 3.46 | HHsearch | MAGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPAEIDVIIGKDREGFFTNGLTLGGKKCSVIRDSLYVDSDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF | |||||||||||||
| 7 | 2vk3A | 0.96 | 0.96 | 27.04 | 2.35 | FFAS-3D | MAGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPAEIDVIIGKDREGFFTNGLTLGGKKCSVIRDSLYVDSDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF | |||||||||||||
| 8 | 2vk3A | 0.96 | 0.96 | 27.04 | 1.45 | EigenThreader | MAGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPAEIDVIIGKDREGFFTNGLTLGGKKCSVIRDSLYVDSDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF | |||||||||||||
| 9 | 2v8cA | 0.99 | 0.99 | 27.61 | 2.55 | CNFpred | -AGWQSYVDNLMCDGCCQEAAIVGYCDAKYVWAATAGGVFQSITPVEIDMIVGKDREGFFTNGLTLGAKKCSVIRDSLYVDGDCTMDIRTKSQGGEPTYNVAVGRAGRVLVFVMGKEGVHGGGLNKKAYSMAKYLRDSGF | |||||||||||||
| 10 | 1awiA | 0.54 | 0.53 | 15.25 | 1.33 | DEthreader | -G-WNAYIDNLMADGTCQDAAIVGYKDSPSVWAAVPGKTFVNITPAEVGVLVGKDRSSFYVNGLTLGGQKCSVIRDSLLQ-DGEFSMDLRTKSTGAPTFNVTVTKTDKTLVLLMGKEGVHGGLINKKCYEMASHLRRSQY | |||||||||||||
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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. |