| >O75817 (140 residues) MAENREPRGAVEAELDPVEYTLRKRLPSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGA RGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREP LTRIRNNSAIHIRVFRVTPK |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAENREPRGAVEAELDPVEYTLRKRLPSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTPK |
| Prediction | CCCCCCCCCCCCCCCCCCCSSSSSCCCCCCCCCCCSSSSSCCCCHHHHHHHHHHHHHHHCCCCCCCCSSSSSSCHHHHHHHHHHHHHHHHHCCCCSSSSSSSCSSSSSSSSSSCCCCCCCSSSSSSCSSSSSSSSSCCCC |
| Confidence | 98777889988887797640899727988899997799927998689999999998621134578758999824078999999999999973895699988528999999874799876012676320799999933899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAENREPRGAVEAELDPVEYTLRKRLPSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTPK |
| Prediction | 85655657556645356651434544455357563201023634031004203510555564564242010100230043003002303652555141414143140303131466744444541523101030334578 |
| 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 | CCCCCCCCCCCCCCCCCCCSSSSSCCCCCCCCCCCSSSSSCCCCHHHHHHHHHHHHHHHCCCCCCCCSSSSSSCHHHHHHHHHHHHHHHHHCCCCSSSSSSSCSSSSSSSSSSCCCCCCCSSSSSSCSSSSSSSSSCCCC MAENREPRGAVEAELDPVEYTLRKRLPSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTPK | |||||||||||||||||||
| 1 | 6ahrG | 0.81 | 0.72 | 20.36 | 1.17 | DEthreader | --------------GAVEAELDPVEYTLRKLPLPNDIYVNMKTDFKAQLARCQKLLDGGARQNA-CSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRV-TP | |||||||||||||
| 2 | 6ahrG | 1.00 | 0.94 | 26.20 | 2.67 | SPARKS-K | --------GAVEAELDPVEYTLRKRLPSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTP- | |||||||||||||
| 3 | 6ahrG | 0.89 | 0.79 | 22.30 | 1.26 | MapAlign | --------------GAVEAELDPVEYTLRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTP- | |||||||||||||
| 4 | 6ahrG | 1.00 | 0.94 | 26.20 | 1.11 | CEthreader | --------GAVEAELDPVEYTLRKRLPSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTP- | |||||||||||||
| 5 | 6ahrG | 1.00 | 0.94 | 26.20 | 2.55 | MUSTER | --------GAVEAELDPVEYTLRKRLPSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTP- | |||||||||||||
| 6 | 6ahrG | 1.00 | 0.94 | 26.20 | 4.36 | HHsearch | --------GAVEAELDPVEYTLRKRLPSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTP- | |||||||||||||
| 7 | 6ahrG | 1.00 | 0.94 | 26.20 | 2.35 | FFAS-3D | --------GAVEAELDPVEYTLRKRLPSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTP- | |||||||||||||
| 8 | 6ahrG | 0.88 | 0.81 | 22.71 | 1.17 | EigenThreader | -----------GAVEAELDPVEYTLRKSRLPRRPNDIYVNMKTDFKAQLARCQKLLDGGARGQNACSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPETDTREPLTRIRNNSAIHIRVFRVTP- | |||||||||||||
| 9 | 6cwxA | 0.98 | 0.74 | 20.61 | 1.49 | CNFpred | ----------------------------RLPRRPNDIYVNMKTDFKAQLARMQKLLDGG---QNAMSEIYIHGLGLAINRAINIALQLQAGSFGSLQVAANTSTVELVDELEPE----EPLTRIRNNSAIHIRVFRVTPK | |||||||||||||
| 10 | 3iabB | 0.20 | 0.15 | 4.79 | 1.17 | DEthreader | --------------------RVTKHPSLKTLTQHTTIFVKSTTPYVSALKRINKFL-DSV-HKQGSSYVAVLG-GKAVEKTLALGCHFQDQKN--KKIEVYTKTIEVLDEVI--------QLKKRAVSGVELRIYV---- | |||||||||||||
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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. |