| >Q9BPZ7 (140 residues) SGKQSILSVRLEQCPLQLNNPFNEYSKFDGKGHVGTTATKKIDVYLPLHSSQDRLLPMTV VTMASARVQDLIGLICWQYTSEGREPKLNDNVSAYCLHIAEDDGEVDTDFPPLDSNEPIH KFGFSTLALVEKYSSPGLTS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | SGKQSILSVRLEQCPLQLNNPFNEYSKFDGKGHVGTTATKKIDVYLPLHSSQDRLLPMTVVTMASARVQDLIGLICWQYTSEGREPKLNDNVSAYCLHIAEDDGEVDTDFPPLDSNEPIHKFGFSTLALVEKYSSPGLTS |
| Prediction | CCCHCHHHHHHHHCCCCCCCCHHHHHSSSCCCCCCCCCCSSSSSSSCCCCCCCCCCCSSSSSCCCCSHHHHHHHHHHHHHHHCCCCCCCCCCCSSSSSSSCCCCCCCCCCCCCCCCCCCSSSCCCSSSSSSSCCCCCCCC |
| Confidence | 96111999999967457899589864223467889877358999960699998885469997489741889999999999977899999995517999835899955578999999801121697799999538866679 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | SGKQSILSVRLEQCPLQLNNPFNEYSKFDGKGHVGTTATKKIDVYLPLHSSQDRLLPMTVVTMASARVQDLIGLICWQYTSEGREPKLNDNVSAYCLHIAEDDGEVDTDFPPLDSNEPIHKFGFSTLALVEKYSSPGLTS |
| Prediction | 87543402510563674362214300411252545454334030100224765452403033456030210000001202654472615731530101022576523740231446531450524200002335576458 |
| 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 | CCCHCHHHHHHHHCCCCCCCCHHHHHSSSCCCCCCCCCCSSSSSSSCCCCCCCCCCCSSSSSCCCCSHHHHHHHHHHHHHHHCCCCCCCCCCCSSSSSSSCCCCCCCCCCCCCCCCCCCSSSCCCSSSSSSSCCCCCCCC SGKQSILSVRLEQCPLQLNNPFNEYSKFDGKGHVGTTATKKIDVYLPLHSSQDRLLPMTVVTMASARVQDLIGLICWQYTSEGREPKLNDNVSAYCLHIAEDDGEVDTDFPPLDSNEPIHKFGFSTLALVEKYSSPGLTS | |||||||||||||||||||
| 1 | 6emkI | 0.07 | 0.06 | 2.40 | 1.00 | DEthreader | ----KKRT-NT--------N-SVDVLEYFS-FVCGDKVPNYE-SMGLEI-YIQASKKYKNSFTTKVRKSSTIFEVIGFALFLSTEKKPDNFDISNPNNFSLKIVDEDGEPFENFGKLDRKSTIQSISDSEVV-LC-KVD- | |||||||||||||
| 2 | 2rujA | 0.30 | 0.27 | 8.24 | 1.27 | SPARKS-K | APTSALRALLEHKENSSQNGPAENFAF--GHAESNAL----LNIYFPSSEPSK---PLFVEL-RNVLVSEAIGYILLQYVNQQ-VPPIEDNPNYWNLRIVEDDGELDEDFPALDRVGPL-KFGFDAFALVKAPAAYPFKS | |||||||||||||
| 3 | 3ddcB | 0.15 | 0.11 | 3.86 | 0.61 | MapAlign | ---PTIQEIKQK---------IDSYNSLGMKLSEDGTYTGFIKVHLKLRFYLPLDAIKQMHISSTTTVSEVIQGLLDKF-----MVVD--NPQKFALFKRIHQVLFQ--K--LSIADYPLYLRVLSFVLKEN-------- | |||||||||||||
| 4 | 2byfA | 0.14 | 0.10 | 3.43 | 0.48 | CEthreader | ---------------------------------SSEEESFFVQVHDVSPEQP----LTVIKAPRVSTAQDVIQQTLCKAKYS-YSILSNPNPSDYVLLEEVVKDTPKSSQRVLLDQECVFQAGAGKFILKLKEQVQASRE | |||||||||||||
| 5 | 2rujA | 0.34 | 0.31 | 9.41 | 1.53 | MUSTER | KAPTSALRALLEHENSSQNGPLAENFAF-GHAESNA----LLNIYFPSSE---PSKPLFVELR-NVLVSEAIGYILLQYVNQQ-VPPIEDNPNYWNLRIVEDDGELDEDFPALDRVGPL-KFGFDAFALVKAPAQIKFKS | |||||||||||||
| 6 | 2rujA | 0.32 | 0.29 | 8.81 | 4.91 | HHsearch | KAPTSALRALLEHENSSQNGPLENFAF--GHAES---NAL-LNIYFPSSE---PSKPLFVELR-NVLVSEAIGYILLQYVNQQ-VPPIEDNPNYWNLRIVEDDGELDEDFPALDRVGPL-KFGFDAFALVKA-PAQIKEN | |||||||||||||
| 7 | 2rujA | 0.32 | 0.29 | 8.61 | 1.42 | FFAS-3D | KAPTSALRALLEHKENSSQGPLAENFAF-----GHAESNALLNIYFPSSEPSK---PLFVEL-RNVLVSEAIGYILLQYVNQQVPPIEDENPNYWNLRIVEDDGELDEDFPALDRVGPL-KFGFDAFALVKAPAQ----- | |||||||||||||
| 8 | 4ekuA1 | 0.10 | 0.09 | 3.15 | 0.77 | EigenThreader | -------------ELGPAEPMV--VVP----VDVEKEDVRILKVCFYSNSFNPGKNFKLVKCTVQTEIREIITSILLSG----RIGPNIRLAECYGLRLKHMKSDEIHWLHPQMTVGEVQDKYEEWYDLQIRYLPEDFME | |||||||||||||
| 9 | 2rvkA | 0.31 | 0.30 | 9.06 | 1.81 | CNFpred | KAPTSALRALLEHKESSQNGPLANFATFSGHAES---NALRLNIYFPSSES--PSKPLFVELRKNVLVSEAIGYILLQYVNQQLVPPIEDEANYWNLRIVEDDGELDEDFPALDRVGPLSKFGFDAFALVKATPAQIKEN | |||||||||||||
| 10 | 2rujA | 0.30 | 0.24 | 7.36 | 1.00 | DEthreader | ----SSQN-GP--------L-AENFA-FGH--AE-S-NAL-LNIYFP-S--SEPSKPLFVELR-NVLVSEAIGYILLQYVNQQVPPIEDEANNYWNLRIVEDDGELDEDFPALDRVGPL-KFGFDAFALVKA-PAQIKE- | |||||||||||||
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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. |