| >Q8WXK3 (141 residues) MEPRAADGCFLGDVGFWVERTPVHEAAQRGESLQLQQLIESGACVNQVTVDSITPLHAAS LQGQARCVQLLLAAGAQVDARNIDGSTPLCDACASGSIECVKLLLSYGAKVNPPLYTASP LHEACMSGSSECVRLLIDVGA |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MEPRAADGCFLGDVGFWVERTPVHEAAQRGESLQLQQLIESGACVNQVTVDSITPLHAASLQGQARCVQLLLAAGAQVDARNIDGSTPLCDACASGSIECVKLLLSYGAKVNPPLYTASPLHEACMSGSSECVRLLIDVGA |
| Prediction | CCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHCCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCC |
| Confidence | 976678632124678888988699999939899999999909987766799998799999817789999999909987776899998699999969699999999909998888999997999999089899999998179 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MEPRAADGCFLGDVGFWVERTPVHEAAQRGESLQLQQLIESGACVNQVTVDSITPLHAASLQGQARCVQLLLAAGAQVDARNIDGSTPLCDACASGSIECVKLLLSYGAKVNPPLYTASPLHEACMSGSSECVRLLIDVGA |
| Prediction | 754440421432665354530010100442123004120735040434175430010100344223004020644051544264330000100443123004020644051347477310101004441320030206458 |
| 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 | CCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHCCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCC MEPRAADGCFLGDVGFWVERTPVHEAAQRGESLQLQQLIESGACVNQVTVDSITPLHAASLQGQARCVQLLLAAGAQVDARNIDGSTPLCDACASGSIECVKLLLSYGAKVNPPLYTASPLHEACMSGSSECVRLLIDVGA | |||||||||||||||||||
| 1 | 5le2A | 0.32 | 0.30 | 9.20 | 1.50 | DEthreader | ERLKDLDKLLE----ADEGFTPLHLAAWEGHLGIVEVLLKNGADVNANDERGHTPLHLAAYTGHLEIVEVLLKNGAGVNATDVIGTAPLHLAAMWGHLEIVEVLLKNGADVNAQDKGKTPFDLAIDNGNEDIAEVLQKA-A | |||||||||||||
| 2 | 6lbfA3 | 0.32 | 0.28 | 8.33 | 2.32 | SPARKS-K | --------------------TALWCAAGAGHFEVVKLLVSHGANVNHTTVTNSTPLRAACFDGRLDIVKYLVENNANISIANKYDNTCLMIAAYKGHTDVVRYLLEQRADPNAKACGATALHFAAEAGHIDIVKELIKWRA | |||||||||||||
| 3 | 6ndzB | 0.39 | 0.38 | 11.31 | 0.47 | MapAlign | ----LIENGADVNASLVSGATPLHAAAMNGHKEVVKLLISKGADVNAQSAAGSTPLAAAAINGHKEVVKLLISKGADVNAVTAAGMTPLHAAAANGHKEVVKLLISKGADVNAKADGMTPLHFAAWRGHKEVVKLLISKGA | |||||||||||||
| 4 | 6ndzB | 0.38 | 0.38 | 11.34 | 0.30 | CEthreader | RVKDLIENGADVNASLVSGATPLHAAAMNGHKEVVKLLISKGADVNAQSAAGSTPLAAAAINGHKEVVKLLISKGADVNAVTAAGMTPLHAAAANGHKEVVKLLISKGADVNAKADGMTPLHFAAWRGHKEVVKLLISKGA | |||||||||||||
| 5 | 4uucA1 | 0.43 | 0.38 | 11.01 | 1.94 | MUSTER | -------------------RSPLHEAAAQGRLLALKTLIAQGVNVNLVTINRVSSLHEACLGGHVACAKALLENGAHVNGVTVHGATPLFNACCSGSAACVNVLLEFGAKAQLEVHLASPIHEAVKRGHRECMEILLANNV | |||||||||||||
| 6 | 5aq7A | 0.38 | 0.33 | 9.88 | 1.05 | HHsearch | -----------------DLGKKLLEAARAGQDDEVRILLANGADVNTADETGFTPLHLAAWEGHLGIVEVLLKNGADVNANDERGHTPLHLAAYTGHLEIVEVLLKNGAGVNATDVGTAPLHLAAMWGYKEIVEVLLKAGA | |||||||||||||
| 7 | 4uucA1 | 0.43 | 0.38 | 11.01 | 2.12 | FFAS-3D | -------------------RSPLHEAAAQGRLLALKTLIAQGVNVNLVTINRVSSLHEACLGGHVACAKALLENGAHVNGVTVHGATPLFNACCSGSAACVNVLLEFGAKAQLEVHLASPIHEAVKRGHRECMEILLANNV | |||||||||||||
| 8 | 6jd6A | 0.26 | 0.26 | 7.89 | 0.83 | EigenThreader | RVILQQNEKPNLKMISTKSWKPLQTLALSMQIQLMDNLIENGLDIDDVDKDNQTALHKAIIGKKEAVISHLLRKGANPHLQDRDGAAPIHYAVQVGALQTVKLLFKYNVDVNVADNEWTPLHIAVQSRNRDITKILLTNGA | |||||||||||||
| 9 | 4rlvA | 0.41 | 0.35 | 10.45 | 1.65 | CNFpred | ------------------GFTPLHIAAHYGNVNVATLLLNRGAAVDFTARNGITPLHVASKRGNTNMVKLLLDRGGQIDAKTRDGLTPLHCAARSGHDQVVELLLERGAPLLARTNGLSPLHMAAQGDHVECVKHLLQHKA | |||||||||||||
| 10 | 6lbfA | 0.27 | 0.27 | 8.26 | 1.50 | DEthreader | -MEGLAGYVYK-VSQQGQRSTPLIIAARNGHAKVVRLLLHYRVQTQQTGTDGATALWCAAGAGHFEVVKLLVSHGANVNHTTVTNSTPLRAACFDGRLDIVKYLVENNANISIANYDNTCLMIAAYKGHTDVVRYLLEQRA | |||||||||||||
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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. |