| >Q9BXC9 (148 residues) TSAEQDLIRELSQKKQNLLLELRNYEENAKAELASPLNEADGHRGIIPANTRLHTTLSVS LGNETQTAHTELRISTSNDTIIRAVLIFAEGIFTGESHVVHPSIHNLSSSICIPIVPPKD VPVDLHLKAFVGYRSSTQFHVFESTRQL |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | TSAEQDLIRELSQKKQNLLLELRNYEENAKAELASPLNEADGHRGIIPANTRLHTTLSVSLGNETQTAHTELRISTSNDTIIRAVLIFAEGIFTGESHVVHPSIHNLSSSICIPIVPPKDVPVDLHLKAFVGYRSSTQFHVFESTRQL |
| Prediction | CHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCSCCCCSSSSSSSSSCCCCCCCCSSSSSSSSCCCCSSSSSSSSSCCCCCCCCSSSCCCCCCCCCSSSSSSCCCCCCCSSSSSSSSSCCCCCCSSSSSSSSSCC |
| Confidence | 9179999999999999999999999998765113444455566550158856668899704888777608999995899479999997424679951587178889884599972379997337999999828999658999997429 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | TSAEQDLIRELSQKKQNLLLELRNYEENAKAELASPLNEADGHRGIIPANTRLHTTLSVSLGNETQTAHTELRISTSNDTIIRAVLIFAEGIFTGESHVVHPSIHNLSSSICIPIVPPKDVPVDLHLKAFVGYRSSTQFHVFESTRQL |
| Prediction | 8644452045036434403430541455255554464545454333124424241403243466664320201030445120100001033116543212234475143304020306453414030200011553430101313466 |
| 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 | CHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCSCCCCSSSSSSSSSCCCCCCCCSSSSSSSSCCCCSSSSSSSSSCCCCCCCCSSSCCCCCCCCCSSSSSSCCCCCCCSSSSSSSSSCCCCCCSSSSSSSSSCC TSAEQDLIRELSQKKQNLLLELRNYEENAKAELASPLNEADGHRGIIPANTRLHTTLSVSLGNETQTAHTELRISTSNDTIIRAVLIFAEGIFTGESHVVHPSIHNLSSSICIPIVPPKDVPVDLHLKAFVGYRSSTQFHVFESTRQL | |||||||||||||||||||
| 1 | 6vbu2 | 0.67 | 0.55 | 15.59 | 1.00 | DEthreader | FDA-DKT-AR-YW---------K--NL-LELRNYEEN-----G-V-IPANTKHHTALSVS-L-G---AHAELCISTSNDTIIRAVLIFAEGVFAGESHVVHPSVHHLSSSVRIPITPPKDIPVDLHLKTFVGYRSSTQFHVFELTRQL | |||||||||||||
| 2 | 6vbu22 | 0.83 | 0.55 | 15.63 | 1.72 | SPARKS-K | --------------------------------------------GVIPANTKHHTALSVSLGA-----HAELCISTSNDTIIRAVLIFAEGVFAGESHVVHPSVHHLSSSVRIPITPPKDIPVDLHLKTFVGYRSSTQFHVFELTRQL | |||||||||||||
| 3 | 6vbu2 | 0.61 | 0.56 | 16.07 | 1.03 | MapAlign | QLICCSVDGEIRGYLPIRELSQKKQNLLLELRN------YEENAGVIPANTKHHTALSVS-----LGAHAELCISTSNDTIIRAVLIFAEGVFAGESHVVHPSVHHLSSSVRIPITPPKDIPVDLHLKTFVGYRSSTQFHVFELTRQL | |||||||||||||
| 4 | 6vbu2 | 0.81 | 0.70 | 19.84 | 1.18 | CEthreader | EIRGYLPIRELSQKKQNLLLELRNYEEN---------------AGVIPANTKHHTALSVSLG-----AHAELCISTSNDTIIRAVLIFAEGVFAGESHVVHPSVHHLSSSVRIPITPPKDIPVDLHLKTFVGYRSSTQFHVFELTRQL | |||||||||||||
| 5 | 6vbu2 | 0.85 | 0.70 | 19.80 | 1.53 | MUSTER | LP-----IRELSQKKQNLLLELRNYEENA---------------GVIPANTKHHTALSVSLGA-----HAELCISTSNDTIIRAVLIFAEGVFAGESHVVHPSVHHLSSSVRIPITPPKDIPVDLHLKTFVGYRSSTQFHVFELTRQL | |||||||||||||
| 6 | 6vbu22 | 0.84 | 0.56 | 15.81 | 4.67 | HHsearch | --------------------------------------------GVIPANTKHHTALSVSLG-----AHAELCISTSNDTIIRAVLIFAEGVFAGESHVVHPSVHHLSSSVRIPITPPKDIPVDLHLKTFVGYRSSTQFHVFELTRQL | |||||||||||||
| 7 | 6vbu22 | 0.83 | 0.55 | 15.63 | 1.76 | FFAS-3D | --------------------------------------------GVIPANTKHHTALSVSLGA-----HAELCISTSNDTIIRAVLIFAEGVFAGESHVVHPSVHHLSSSVRIPITPPKDIPVDLHLKTFVGYRSSTQFHVFELTRQL | |||||||||||||
| 8 | 6vbu2 | 0.43 | 0.35 | 10.30 | 0.80 | EigenThreader | IRELSQKKQNLLLELRNYEEN---------------------AGVIPANTKHHTALSVSLGA------HAELCISTNDTIIRAVLIFAEGVFAGESH-VVHPSVHHLSSSVRIPITPPKDIPVDLHLKTFVGYRSSTQFHVFELTRQL | |||||||||||||
| 9 | 1kv3A | 0.13 | 0.10 | 3.54 | 0.67 | CNFpred | SSEEREAFTRAN----------------HLNKLAEKE------------ETGMAMRIRVGQSMNMSDFDVFAHITNNTEYVCRLLLCARTVSYILGPECGTKYL-FSEKSVPLCILYEKTESNLIKVRALLVEPVINSYLLAERDLYL | |||||||||||||
| 10 | 2qksA | 0.05 | 0.04 | 1.94 | 1.00 | DEthreader | ------K--RQRFV--CNVQ-----SD-FTTLVDGCAFIK-MSQ-PKKRAELMFSHAVISMRDG--KLTLMFRVGNLRNSMVAQIRCKLLKRDQLELDFDQL---FLVSPLTICHIFYDLSMFEVVVILEGIVETTGMTCQARTSYTV | |||||||||||||
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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. |