>Q9NR23 (150 residues) LPDQGFFLYPKKISQASSCLQKLLYFNLSAIKEREQLTLAQLGLDLGPNSYYNLGPELEL ALFLVQEPHVWGQTTPKPGKMFVLRSVPWPQGAVHFNLLDVAKDWNDNPRKNFGLFLEIL VKEDRDSGVNFQPEDTCARLRCSLHASLLV |
Sequence |
20 40 60 80 100 120 140 | | | | | | | LPDQGFFLYPKKISQASSCLQKLLYFNLSAIKEREQLTLAQLGLDLGPNSYYNLGPELELALFLVQEPHVWGQTTPKPGKMFVLRSVPWPQGAVHFNLLDVAKDWNDNPRKNFGLFLEILVKEDRDSGVNFQPEDTCARLRCSLHASLLV |
Prediction | CCCCCCCCCCCCCCCCCCCCSSSSSSSCCCCCCCCCCSSSSSSSSSCCHHHCCCCCCSSSSSSSSSCCCCCCCCCCCCCCSSSSSSSSCCCCCSSSSHHHHHHHHHCCCCCCCSSSSSSSSCCCCCCCCCCCCCHHHHHHHHHHHHHHCC |
Confidence | 998875357888887777732589987123891113215568887561231368862799999852245578888765641467664068961899727889988608663523799999558888877665301346788777876349 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | LPDQGFFLYPKKISQASSCLQKLLYFNLSAIKEREQLTLAQLGLDLGPNSYYNLGPELELALFLVQEPHVWGQTTPKPGKMFVLRSVPWPQGAVHFNLLDVAKDWNDNPRKNFGLFLEILVKEDRDSGVNFQPEDTCARLRCSLHASLLV |
Prediction | 654433414366464444114230202043147734242141404134532454444130202214446154464654331112431534553030302410551475344211000101244646454434255304413421432137 |
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 | CCCCCCCCCCCCCCCCCCCCSSSSSSSCCCCCCCCCCSSSSSSSSSCCHHHCCCCCCSSSSSSSSSCCCCCCCCCCCCCCSSSSSSSSCCCCCSSSSHHHHHHHHHCCCCCCCSSSSSSSSCCCCCCCCCCCCCHHHHHHHHHHHHHHCC LPDQGFFLYPKKISQASSCLQKLLYFNLSAIKEREQLTLAQLGLDLGPNSYYNLGPELELALFLVQEPHVWGQTTPKPGKMFVLRSVPWPQGAVHFNLLDVAKDWNDNPRKNFGLFLEILVKEDRDSGVNFQPEDTCARLRCSLHASLLV | |||||||||||||||||||
1 | 4ycgA | 0.14 | 0.13 | 4.57 | 1.17 | DEthreader | SFSVEDAIST-AATEDFPFQKHILIFNI-SIPRHEQITRAELRLYVSCQNDSTHGLEGSMVVYDVLEDSETWDQATGTKTFLVSQDIR-DEGWETLEVSSAVKRWVRADSTNKKLEVTVQSHR-ESCDTLDSVGKNLPFFVVFSNDRSKE | |||||||||||||
2 | 5ntuA2 | 0.15 | 0.14 | 4.73 | 1.60 | SPARKS-K | ---EDDDYHATTETIITMPTEKCCFFKFSSKIQYNKVVKAQLWIYLRPVETP---TTVFVQILRLI-KPMKDGTRYTGIRSLKLDMNPGTGIWQSIDVKTVLQNWLAAPASNLGIEIKALDENGHDLAVTFPGPGLNPFLEVKVTDTPKR | |||||||||||||
3 | 4ycgA | 0.15 | 0.14 | 4.70 | 1.03 | MapAlign | FSVEDAIST--AATEDFPFQKHILIFNI-SIPRHEQITRAELRLYVSCQNDVDSGLEGSMVVYDVLEDSETWDQATGTKTFLVSQDIRD-EGWETLEVSSAVKRWVDSTTNKNKLEVTVQSHRESCDTL-----DISPFFVVFSNDR--- | |||||||||||||
4 | 4ycgA | 0.14 | 0.13 | 4.57 | 1.07 | CEthreader | FSVEDAIST--AATEDFPFQKHILIFNIS-IPRHEQITRAELRLYVSCQNDVDSGLEGSMVVYDVLEDSETWDQATGTKTFLVSQDIRDE-GWETLEVSSAVKRWVRADSNKNKLEVTVQSHRESCDTSVPPGSKNLPFFVVFSNDRSNG | |||||||||||||
5 | 4ycgA | 0.14 | 0.13 | 4.57 | 1.16 | MUSTER | FSVED--AISTAATEDFPFQKHILIFNIS-IPRHEQITRAELRLYVSCQNDVDSGLEGSMVVYDVLEDSETWDQATGTKTFLVSQDI-RDEGWETLEVSSAVKRWVRADTNKNKLEVTVQSHRESCDTSVPPGSKNLPFFVVFSNDRSNG | |||||||||||||
6 | 4ycgA | 0.15 | 0.15 | 4.92 | 3.17 | HHsearch | FSVEDAISAAT---EDFPFQKHILIFNIS-IPRHEQITRAELRLYVSCQNDVDHGLEGSMVVYDVLEDSETDQATG-TKTFLVSQDI-RDEGWETLEVSSAVKRWVRADSNKNKLEVTVQSHRESCLDSVPPGSKNLPFFVVFSNDRSNG | |||||||||||||
7 | 5ntuA2 | 0.18 | 0.15 | 4.99 | 1.30 | FFAS-3D | -EDDDYHATTETIITMPT--EKCCFFKFSSKIQYNKVVKAQLWIYLRP---VETPTTVFVQILRLIKPMKDGTRYTGI-RSLKLDMNPGTGIWQSIDVKTVLQNWLAAPASNLGIEIKALDENGHDLAVTFPGPG--------------- | |||||||||||||
8 | 5ntuA2 | 0.15 | 0.13 | 4.29 | 0.87 | EigenThreader | HATTEMPTEK------------CCFFKFSSKIQYNKVVKAQLWIYLRPVET---PTTVFVQILRLIKPMK----DGTRYTGIRSLKLNPGTGIQSIDVKTVLQNWLAAPASNLGIEIKALDENGHDLAVTFPGPGLNPFLEVKVTDTPKR | |||||||||||||
9 | 4ycgA | 0.16 | 0.13 | 4.46 | 1.79 | CNFpred | -------------------QKHILIFNIS-IPRHEQITRAELRLYVSCQNDSTHGLEGSMVVYDVLEDSETWDQATGTKTFLVSQDIR-DEGWETLEVSSAVKRWVRADSNKNKLEVTVQSHRESCDTLDISGSKNLPFFVVFSNDRSNG | |||||||||||||
10 | 1a6cA | 0.04 | 0.04 | 2.02 | 1.00 | DEthreader | CCGTLSFK-VPKDA-KKGKHLGTFDIRIMSWCKGIVNPTFTVRMHAPR---NAFAGLSIACTFDDYKRIDLALGNECPSMFELPTKVFMDADVHEWQFNELTGHGLCANVTQPTLYFFVAS--TNQVTMAADWQ-CIVTMHVDMGPVID- | |||||||||||||
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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. |