| >P17658 (140 residues) MRSEKSLTLAAPGEVRGPEGEQQDAGDFPEAGGGGGCCSSERLVINISGLRFETQLRTLS LFPDTLLGDPGRRVRFFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFLEE IRFYQLGDEALAAFREDEGC |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRSEKSLTLAAPGEVRGPEGEQQDAGDFPEAGGGGGCCSSERLVINISGLRFETQLRTLSLFPDTLLGDPGRRVRFFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFLEEIRFYQLGDEALAAFREDEGC |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCSSSSSSHHHHHHCCCCCCCCHHHCCCCCCCCCCSSSSSCCCHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHHHCCCHHHHHHHHHHCCC |
| Confidence | 98766666678865468876556677887777888777786699983997999738898744675112622243224767883998089017999999998579855799999999999999819998999999986299 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRSEKSLTLAAPGEVRGPEGEQQDAGDFPEAGGGGGCCSSERLVINISGLRFETQLRTLSLFPDTLLGDPGRRVRFFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFLEEIRFYQLGDEALAAFREDEGC |
| Prediction | 75555524344465455465555645544647555534554202000203313023300442441203334533531447431000123361021002002433314227613261035206357045510550377458 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCSSSSSSHHHHHHCCCCCCCCHHHCCCCCCCCCCSSSSSCCCHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHHHCCCHHHHHHHHHHCCC MRSEKSLTLAAPGEVRGPEGEQQDAGDFPEAGGGGGCCSSERLVINISGLRFETQLRTLSLFPDTLLGDPGRRVRFFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFLEEIRFYQLGDEALAAFREDEGC | |||||||||||||||||||
| 1 | 2r9rB1 | 0.84 | 0.60 | 16.91 | 1.17 | DEthreader | ---------------------------------------SERVVINISGLRFETQLKTLAQFPETLLGDP-KKMRYFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFSEEIRFYELGEEAMEMFREDEGY | |||||||||||||
| 2 | 2r9rB1 | 0.84 | 0.61 | 17.11 | 3.72 | SPARKS-K | ---------------------------------------SERVVINISGLRFETQLKTLAQFPETLLGDPKKRMRYFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFSEEIRFYELGEEAMEMFREDEGY | |||||||||||||
| 3 | 2r9rB1 | 0.84 | 0.61 | 17.11 | 1.00 | MapAlign | ---------------------------------------SERVVINISGLRFETQLKTLAQFPETLLGDPKKRMRYFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFSEEIRFYELGEEAMEMFREDEGY | |||||||||||||
| 4 | 2r9rB | 0.84 | 0.61 | 17.11 | 0.89 | CEthreader | ---------------------------------------SERVVINISGLRFETQLKTLAQFPETLLGDPKKRMRYFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFSEEIRFYELGEEAMEMFREDEGY | |||||||||||||
| 5 | 2r9rB1 | 0.84 | 0.61 | 17.11 | 2.53 | MUSTER | ---------------------------------------SERVVINISGLRFETQLKTLAQFPETLLGDPKKRMRYFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFSEEIRFYELGEEAMEMFREDEGY | |||||||||||||
| 6 | 2r9rB | 0.84 | 0.61 | 17.11 | 3.41 | HHsearch | ---------------------------------------SERVVINISGLRFETQLKTLAQFPETLLGDPKKRMRYFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFSEEIRFYELGEEAMEMFREDEGY | |||||||||||||
| 7 | 2r9rB1 | 0.84 | 0.61 | 17.11 | 1.96 | FFAS-3D | ---------------------------------------SERVVINISGLRFETQLKTLAQFPETLLGDPKKRMRYFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFSEEIRFYELGEEAMEMFREDEGY | |||||||||||||
| 8 | 2i2rL | 0.28 | 0.26 | 8.06 | 1.27 | EigenThreader | --------AGVAAWLPFARAAAIGWMPMPLAPADKNKRQDELIVLNVSGRRFQTWRTTLERYPDTLLGST-EKEFFFNEDTKEYFFDRDPEVFRCVLNFYRT-GKLHYPRYECISAYDDELAFYGILPEIIGCCYEEYKD | |||||||||||||
| 9 | 4bgcA | 0.83 | 0.60 | 16.92 | 2.24 | CNFpred | ---------------------------------------MERVVINISGLRFETQLKTLMQFPETLLGDPKRRMRYFDPLRNEYFFDRNRPSFDAILYYYQSGGRIRRPVNVPIDIFSEEIRFYQLGEEAMEKFREDEGF | |||||||||||||
| 10 | 2r9rB | 0.84 | 0.61 | 17.11 | 1.17 | DEthreader | ---------------------------------------SERVVINISGLRFETQLKTLAQFPETLLGDPKKRMRYFDPLRNEYFFDRNRPSFDAILYYYQSGGRLRRPVNVPLDIFSEEIRFYELGEEAMEMFREDEGY | |||||||||||||
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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. |