>C9JR72 (152 residues) MARGPQTLVQVWVGGQLFQADRALLVEHCGFFRGLFRSGMRETRAAEVRLGVLSAGGFRA TLQVLRGDRPALAAEDELLQAVECAAFLQAPALARFLEHNLTSDNCALLCDAAAAFGLRD VFHSAALFICDGERELAAELALPEARAYVAAL |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MARGPQTLVQVWVGGQLFQADRALLVEHCGFFRGLFRSGMRETRAAEVRLGVLSAGGFRATLQVLRGDRPALAAEDELLQAVECAAFLQAPALARFLEHNLTSDNCALLCDAAAAFGLRDVFHSAALFICDGERELAAELALPEARAYVAAL |
Prediction | CCCCCCCCSSSSSCCSSSSSSHHHHHHCCHHHHHHHCCCCCCCCCCSSSSCCCCHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHC |
Confidence | 99989972899999999983133355568899998529983246987982899999999999996178522466247999999999962699999999749999999999999991969999999999999899999523169999999869 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MARGPQTLVQVWVGGQLFQADRALLVEHCGFFRGLFRSGMRETRAAEVRLGVLSAGGFRATLQVLRGDRPALAAEDELLQAVECAAFLQAPALARFLEHNLTSDNCALLCDAAAAFGLRDVFHSAALFICDGERELAAELALPEARAYVAAL |
Prediction | 74657532010205745030010000120320210033415445554050761336004200410112404134452022004004321153015103730316000101300442417622630251036104400646505403511665 |
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 | CCCCCCCCSSSSSCCSSSSSSHHHHHHCCHHHHHHHCCCCCCCCCCSSSSCCCCHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHC MARGPQTLVQVWVGGQLFQADRALLVEHCGFFRGLFRSGMRETRAAEVRLGVLSAGGFRATLQVLRGDRPALAAEDELLQAVECAAFLQAPALARFLEHNLTSDNCALLCDAAAAFGLRDVFHSAALFICDGERELAAELALPEARAYVAAL | |||||||||||||||||||
1 | 6i2mA | 0.17 | 0.16 | 5.43 | 1.33 | DEthreader | RNSGRFCDISIVINDERINAHKLILSGASEYFSILFSNNFIDSNEYEVNLSHLDYQSVNDLIDYIYGIPLSLTND-NVKYILSTADFLQIGSAITECEYILCSKNCIDFYIYADKYNNKKIESASFNTILQNILRLIDNFLTEESMIKILDM | |||||||||||||
2 | 6i2mA | 0.17 | 0.16 | 5.43 | 1.53 | SPARKS-K | RNSGRFCDISIVINDERINAHKLILSGASEYFSILFSNNFIDSNEYEVNLSHLDYQSVNDLIDYIYGIPLSLT-NDNVKYILSTADFLQITECENYILKNLCSKNCIDFYIYADKYNNKKIESASFNTILQNILRLINDENFKYLEESMIKI | |||||||||||||
3 | 6i2mA | 0.18 | 0.18 | 5.78 | 1.29 | MapAlign | RNSGRFCDISIVINDERINAHKLILSGASEYFSILFSNNFIDSNEYEVNLSHLDYQSVNDLIDYIYGIPLSL-TNDNVKYILSTADFLQIGSAITECENYLCSKNCIDFYIYADKYNNKKIESASFNTILQNILRLDENFYLEESMIKIL-- | |||||||||||||
4 | 6i2mA | 0.17 | 0.16 | 5.43 | 1.02 | CEthreader | RNSGRFCDISIVINDERINAHKLILSGASEYFSILFSNNFIDSNEYEVNLSHLDYQSVNDLIDYIYGIPLSL-TNDNVKYILSTADFLQIGSAITECENYICSKNCIDFYIYADKYNNKKIESASFNTILQNNDENFKYLTEESMIKILSDD | |||||||||||||
5 | 6i2mA | 0.17 | 0.16 | 5.43 | 1.48 | MUSTER | RNSGRFCDISIVINDERINAHKLILSGASEYFSILFSNNFIDSNEYEVNLSHLDYQSVNDLIDYIYGIPLSLTN-DNVKYILSTADFLQITECENYILKNLCSKNCIDFYIYADKYNNKKIESASFNTILQNILRLINDENFKYLEESMIKI | |||||||||||||
6 | 6i2mA | 0.17 | 0.17 | 5.61 | 2.35 | HHsearch | RNSGRFCDISIVINDERINAHKLILSGASEYFSILFSNNFIDSNEYEVNLSHLDYQSVNDLIDYIYGIPLSLT-NDNVKYILSTADFLQIGSAINYILKNLCSKNCIDFYIYADKYNNKKIESASFNTILQNILRLDENFYLTSMIKILSDD | |||||||||||||
7 | 3hqiA2 | 0.19 | 0.16 | 5.09 | 2.04 | FFAS-3D | -ENSRFTDCCLCVAGQEFQAHKAILAARSPVFSAMF-----EHKKNRVEINDVEPEVFKEMMCFIYTGKAP-NLDKMADDLLAAADKYALEMCEDALCSNLSVENAAEILILADLHSADQLKTQAVDFINYH-------------------- | |||||||||||||
8 | 4hxiA | 0.13 | 0.12 | 4.37 | 1.37 | EigenThreader | RSKQLLCDVMIVAEDVEIEAHRVVLAACSPYFCAMFTGDMSESAAAAIEIKDVDGQTLSKLIDYIYTAEIEVTE-ENVQVLLPAASLLQLMDVRQNCCDFLHPTNCLGIRAFADVHTCTDLLQQANAHFPEVMLGEEFLSLSLDQVCSLISS | |||||||||||||
9 | 4j8zA | 0.18 | 0.18 | 5.79 | 1.22 | CNFpred | WENSRFTDCCLCVAGQEFQAHKAILAARSPVFSAMFEHEMEESKKNRVEINDVEPEVFKEMMCFIYTGKAPN-LDKMADDLLAAADKYALERLKVMCEDALCSENAAEILILADLHSADQLKTQAVDFINYHASDVLETSGWKSMVVSHPHL | |||||||||||||
10 | 4hxiA | 0.15 | 0.15 | 5.07 | 1.33 | DEthreader | RSKQLLCDVMIVAEDVEIEAHRVVLAACSPYFCAMFTGDMSESAAAAIEIKDVDGQTLSKLIDYIYTAEIEVTEE-NVQVLLPAASLLQLMDVRQNCCDFLQLTNCLGIRAFADVHTCTDLLQQANA-YAEQHFPMLGEEFLQCSLISSDKL | |||||||||||||
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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. |