>Q9Y3M9 (150 residues) GIYAEHVLRPKNLGLAHQRQQQLQFSDQSFQSDTAEGQEKEKSTKPMAFSSPPLRHAVSS RRRNSVVEIESSQGQRENPTEIDKVLKGIENSRWGAFKCAERGQDFSRKMMVIIHKKAHS RQKLFTCRECHQGFRDESALLLHQNTHTGE |
Sequence |
20 40 60 80 100 120 140 | | | | | | | GIYAEHVLRPKNLGLAHQRQQQLQFSDQSFQSDTAEGQEKEKSTKPMAFSSPPLRHAVSSRRRNSVVEIESSQGQRENPTEIDKVLKGIENSRWGAFKCAERGQDFSRKMMVIIHKKAHSRQKLFTCRECHQGFRDESALLLHQNTHTGE |
Prediction | CCCCCCCCCCCCCCCCCCCCCCSSCCCCCSCCCCCCCCSSCCCCCCSCCCCCCCCCCCSCCCCCCCCCSSCCCCCCCCCSSCCCCCCCSSSCCCCCSSCCCCCCSSCCCCCCCCSCCCCCCCCCSCCCCCCCSSCCCCCCCCSCCCCCCC |
Confidence | 956776655556775433312232488872378775512406986422456544413012699851001524447838841587787324457658206888874344134110102225898821688877414422321231344798 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | GIYAEHVLRPKNLGLAHQRQQQLQFSDQSFQSDTAEGQEKEKSTKPMAFSSPPLRHAVSSRRRNSVVEIESSQGQRENPTEIDKVLKGIENSRWGAFKCAERGQDFSRKMMVIIHKKAHSRQKLFTCRECHQGFRDESALLLHQNTHTGE |
Prediction | 742355314456524745424432334431527645544166244315344424513442456442434443414544325065144414033433344755242434424034233333433304242314133241303413345368 |
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 | | | | | | | | |||||||||||||
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SS Seq | CCCCCCCCCCCCCCCCCCCCCCSSCCCCCSCCCCCCCCSSCCCCCCSCCCCCCCCCCCSCCCCCCCCCSSCCCCCCCCCSSCCCCCCCSSSCCCCCSSCCCCCCSSCCCCCCCCSCCCCCCCCCSCCCCCCCSSCCCCCCCCSCCCCCCC GIYAEHVLRPKNLGLAHQRQQQLQFSDQSFQSDTAEGQEKEKSTKPMAFSSPPLRHAVSSRRRNSVVEIESSQGQRENPTEIDKVLKGIENSRWGAFKCAERGQDFSRKMMVIIHKKAHSRQKLFTCRECHQGFRDESALLLHQNTHTGE | |||||||||||||||||||
1 | 6co7A | 0.03 | 0.03 | 1.58 | 0.83 | DEthreader | LEIPNLVISVTLIITGGIMRRIEEMVLKVPLANRSPVLILMFAEVFAVLNLKAYAREAAESQDFICQLTWPFFVGNVVGYLAFIFLYYVNFGIHPEIV----------L-YFWVFTILIEERQ------SDTWNVDIFSFV--QK-MQA- | |||||||||||||
2 | 5v3jE | 0.20 | 0.19 | 6.19 | 2.82 | SPARKS-K | IHTGEKPHKCKECGKAFRYDTQLSLHLLTHAGARRFECKDCD---KVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSHLLRHQ--SVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGD | |||||||||||||
3 | 5v3gD | 0.22 | 0.21 | 6.53 | 0.89 | MapAlign | ---SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRG-----FRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
4 | 5v3gD | 0.22 | 0.21 | 6.54 | 0.62 | CEthreader | -PGSEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCREC-----GRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
5 | 5v3jE | 0.23 | 0.23 | 7.09 | 1.78 | MUSTER | AFRYDTQLSLHLLTHAGARRFECKDCDKVYSCQLALHQMSHTGEKPHKC-----KECGKGFISDSHLLRHQSVHTGETPYKCKECGKGFRHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGE | |||||||||||||
6 | 5v3jE | 0.20 | 0.19 | 6.17 | 1.24 | HHsearch | THAGARRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKE--CGKGFISDSHLLRHQSTGETPYKCKECGKGFRRGSELAR-----HQRAHSGDKPYKCKECGKSFTCTTELFRHQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGE | |||||||||||||
7 | 5v3gD | 0.22 | 0.19 | 6.11 | 1.18 | FFAS-3D | -----------------EKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
8 | 5undA | 0.13 | 0.12 | 4.19 | 0.93 | EigenThreader | -EKPFKCSMCDEVSKLKRHIRSHTGERPFQCSLCSYASRTHSGEKPYECYICHAILQKHTENVAKFHC----PHCDTRKSDLGVHLRKQHSYIEQGKKCRYCDAVFHERYALIQHQKSHKNEKRFKCDQCDYACRQERHMIMHKR---TH | |||||||||||||
9 | 5v3gA | 0.23 | 0.21 | 6.71 | 3.32 | CNFpred | ---SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTG-----EKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGE | |||||||||||||
10 | 6ar6A | 0.09 | 0.07 | 2.83 | 0.83 | DEthreader | -----GYIHYINLFSVLAKYKILAIIIVIIISFNPKRIEEKNSDSIEVN----IATI-SLGAAIKELSETSDTTATTAIISSGIASGFSILKKGDLIEGILSTFSILEGINAI--IEVSYKLL----------IPYNGFFVVLQETIFIK | |||||||||||||
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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, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. In preparation, 2020. |