| >Q9ULS6 (149 residues) GQPLGNFRRQLWLALDNPGYSVLSRVFSILSILVVMGSIITMCLNSLPDFQIPDSQGNPG EDPRFEIVEHFGIAWFTFELVARFAVAPDFLKFFKNALNLIDLMSIVPFYITLVVNLVVE STPTLANLGRVAQVLRLMRIFRILKLARH |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GQPLGNFRRQLWLALDNPGYSVLSRVFSILSILVVMGSIITMCLNSLPDFQIPDSQGNPGEDPRFEIVEHFGIAWFTFELVARFAVAPDFLKFFKNALNLIDLMSIVPFYITLVVNLVVESTPTLANLGRVAQVLRLMRIFRILKLARH |
| Prediction | CCCCHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHCC |
| Confidence | 99961799999999709998658999999999999999999999703101135433421367799999999999999999999999198889876434799999999999999998752100135569999999999999999998329 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GQPLGNFRRQLWLALDNPGYSVLSRVFSILSILVVMGSIITMCLNSLPDFQIPDSQGNPGEDPRFEIVEHFGIAWFTFELVARFAVAPDFLKFFKNALNLIDLMSIVPFYITLVVNLVVESTPTLANLGRVAQVLRLMRIFRILKLARH |
| Prediction | 86244511420030013263331022112301321333230000101233333433333324311231113003313312201000034324101233133113023333212023334443443441131023233333323331357 |
| 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 | CCCCHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHCC GQPLGNFRRQLWLALDNPGYSVLSRVFSILSILVVMGSIITMCLNSLPDFQIPDSQGNPGEDPRFEIVEHFGIAWFTFELVARFAVAPDFLKFFKNALNLIDLMSIVPFYITLVVNLVVESTPTLANLGRVAQVLRLMRIFRILKLARH | |||||||||||||||||||
| 1 | 2r9rB | 0.36 | 0.35 | 10.40 | 1.33 | DEthreader | --P-NEFQRQVWLLFEYPESSGPARIIAIVSVMVILISIVSFCLETLPFRDENEVTHTQQQTDPFFIVETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLT-ESNKSVQFQNVRRVVQIFRIMRILRIFKLSLQ | |||||||||||||
| 2 | 2r9rB2 | 0.38 | 0.38 | 11.33 | 1.64 | SPARKS-K | PLPENEFQRQVWLLFEYPESSGPARIIAIVSVMVILISIVSFCLETLPIFRDMHGGGVTSFTDPFFIVETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLTESNKSVLQFQNVRRVVQIFRIMRILRIFKLSRH | |||||||||||||
| 3 | 2r9rB | 0.39 | 0.37 | 10.92 | 0.68 | MapAlign | -------QRQVWLLFEYPESSGPARIIAIVSVMVILISIVSFCLETLPIFRSQSTIGYQQFTDPFFIVETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLTESNKSVLQFQNVRRVVQIFRIMRILRIFKLSRH | |||||||||||||
| 4 | 2r9rB2 | 0.38 | 0.38 | 11.33 | 0.59 | CEthreader | PLPENEFQRQVWLLFEYPESSGPARIIAIVSVMVILISIVSFCLETLPIFRDENEDMHGGGVTPFFIVETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLTESNKSVLQFQNVRRVVQIFRIMRILRIFKLSRH | |||||||||||||
| 5 | 2r9rB2 | 0.38 | 0.38 | 11.33 | 1.73 | MUSTER | PLPENEFQRQVWLLFEYPESSGPARIIAIVSVMVILISIVSFCLETLPIFRDENEQQSTSFTDPFFIVETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLTESNKSVLQFQNVRRVVQIFRIMRILRIFKLSRH | |||||||||||||
| 6 | 2r9rB | 0.38 | 0.38 | 11.33 | 1.64 | HHsearch | PLPENEFQRQVWLLFEYPESSGPARIIAIVSVMVILISIVSFCLETLPIFRDENEQQSTSFTDPFFIVETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLTESNKSVLQFQNVRRVVQIFRIMRILRIFKLSRH | |||||||||||||
| 7 | 2r9rB2 | 0.39 | 0.38 | 11.32 | 2.46 | FFAS-3D | -LPENEFQRQVWLLFEYPESSGPARIIAIVSVMVILISIVSFCLETLPIFRDENEQQSTSFTDPFFIVETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLTESNKSVLQFQNVRRVVQIFRIMRILRIFKLSRH | |||||||||||||
| 8 | 2r9rB2 | 0.27 | 0.26 | 8.03 | 0.92 | EigenThreader | PLPENEFQRQVWLLFEYPESSGPARIIAIVSVMVILISIIFRDENEDMHGGGVT----FHTYSQSTIGETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLTESNKSVLQFQNRVVQIFRIMRILRIFKLSRH-- | |||||||||||||
| 9 | 5wieB | 0.39 | 0.38 | 11.32 | 0.94 | CNFpred | PLPENEFQRQVWLLFEYPESSGPARIIAIVSVMVILISIVSFCLETLPIFRDEN-QQSTSFTDPFFIVETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLTESNKSVLQFQNVRRVVQIFRIMRILRIFKLSRH | |||||||||||||
| 10 | 2r9rB2 | 0.37 | 0.36 | 10.76 | 1.33 | DEthreader | --P-NEFQRQVWLLFEYPESSGPARIIAIVSVMVILISIVSFCLETLPFRDENEVTHTQQQTDPFFIVETLCIIWFSFEFLVRFFACPSKAGFFTNIMNIIDIVAIIPYYVTIFLT-ESNKSVQFQNVRRVVQIFRIMRILRIFKLSRH | |||||||||||||
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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. |