| >Q6ZN92 (141 residues) MPVIPALGEAKGEVLPPGDTTTIIPLNWMLKSPPGHFGLLLLLSQQAKNGVMVLAGVTDP EYQDEISLLLHNEGHLKEVKMEGARLGLPGRAESLEHQVQSHLNMIAQSQRTFQKKDAGK AIILSKLTQEQKTKHCMFSLH |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPVIPALGEAKGEVLPPGDTTTIIPLNWMLKSPPGHFGLLLLLSQQAKNGVMVLAGVTDPEYQDEISLLLHNEGHLKEVKMEGARLGLPGRAESLEHQVQSHLNMIAQSQRTFQKKDAGKAIILSKLTQEQKTKHCMFSLH |
| Prediction | CCCCCCCCCCCCCSSCCCCCSSSSCCCSSSSCCCCCSSSSSCCHHHHHCCCSSSCCSCCCCCCCSSSSSSSCCCCCSSSSCCCCSSSCCCCHHHHHHHCHHHHHHHHHHHCCCCCCCCCCCSSHHHHHHHHHHCCCSSSCC |
| Confidence | 995533011578516389804982177289728980688861412324194563230389988716899981897338742783220232114444300456777664204666678874231155667654201012049 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPVIPALGEAKGEVLPPGDTTTIIPLNWMLKSPPGHFGLLLLLSQQAKNGVMVLAGVTDPEYQDEISLLLHNEGHLKEVKMEGARLGLPGRAESLEHQVQSHLNMIAQSQRTFQKKDAGKAIILSKLTQEQKTKHCMFSLH |
| Prediction | 653444344454431336643322334231312542212023344334440411011125604430100011355461324544421233436514552543352124355424665243321133126546154342528 |
| 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 | CCCCCCCCCCCCCSSCCCCCSSSSCCCSSSSCCCCCSSSSSCCHHHHHCCCSSSCCSCCCCCCCSSSSSSSCCCCCSSSSCCCCSSSCCCCHHHHHHHCHHHHHHHHHHHCCCCCCCCCCCSSHHHHHHHHHHCCCSSSCC MPVIPALGEAKGEVLPPGDTTTIIPLNWMLKSPPGHFGLLLLLSQQAKNGVMVLAGVTDPEYQDEISLLLHNEGHLKEVKMEGARLGLPGRAESLEHQVQSHLNMIAQSQRTFQKKDAGKAIILSKLTQEQKTKHCMFSLH | |||||||||||||||||||
| 1 | 2bt1A | 0.16 | 0.14 | 4.70 | 1.00 | DEthreader | ----AFQNDKLTILLRPMK-TTTVDLGLYARPPEGHGLMLWGSTS---RPVTSHVGIIDPGYTGELRLILQNQRRYNSTLRPSELKIHL-AA--F-RYATHRPTIFGVKPCDVSLT---NFSV-L--YRRFCQLVVLFRWA | |||||||||||||
| 2 | 2hquB | 0.21 | 0.18 | 5.64 | 1.71 | SPARKS-K | HATAPTRGSAYDYTIPPME-KAVVKTDIQIALPSGCYGRVAPRSGLAKHFIDVGAGVIDEDYRGNVGVVLFNFGKEKFEVKKGDRIAQLICERIFYPEIEEVQALDDTERGSGGFGSTGKN-------------------- | |||||||||||||
| 3 | 3hzaA | 0.20 | 0.16 | 4.98 | 0.89 | MapAlign | -VRLDPGLSAEDVELAPGR-RALVRTGVAVAVPFGMVGLVHPRSGLARVGLSIVPGTIDAGYRGEIKVALINLDPAPIVVHRGDRIAQLLVQRV-------------ELVELVEVSSFDEAGL------------------ | |||||||||||||
| 4 | 3hzaA | 0.19 | 0.17 | 5.50 | 0.69 | CEthreader | GDAGVDLYSAEDVELAPGR-RALVRTGVAVAVPFGMVGLVHPRSGLATRGLSIVPGTIDAGYRGEIKVALINLDAAPIVVHRGDRIAQLLVQRVELVELVEVSSFDEAGLASTSRGDGGWGSSGGHASL------------ | |||||||||||||
| 5 | 1f7rA | 0.22 | 0.18 | 5.83 | 1.59 | MUSTER | LDKRSEDAAAKEIHLLPG-EVKVIPTGVKLMLPKGYWGLIIGKSSIGSKGLDVLGGVIDEGYRGEIGVIMINVSRKSITLMERQKIAQLIILPCKHEVLEQGKVVMDSERGDNGYGSTGVF-------------------- | |||||||||||||
| 6 | 3zezA | 0.16 | 0.13 | 4.48 | 2.30 | HHsearch | NARMPERNHAETVVLEPQEK-AVIKTDVAVSIPEGYVGLLTSRSGVSSTHLVIETGKIDAGYHGNLGINIKNDHLGSYRIEKGERIAQLVIVPIWTPELKQVEFESVSERGEKGFGSSGV--------------------- | |||||||||||||
| 7 | 1dunA | 0.25 | 0.17 | 5.28 | 1.60 | FFAS-3D | QIKEKRDEDAYDIMIPVSD-TKIIPTDVKIQVPPNSFGWVTGKSSMAKQGLLINGGIIDEGYTGEIQVICTNIGKSNIKLIEGQKFAQLIILQHHSNS------------------------------------------- | |||||||||||||
| 8 | 3hzaA | 0.17 | 0.16 | 5.12 | 1.03 | EigenThreader | STTLDPGLPAEDVELAPGRRALVRTG-VAVAVPFGMVGLVHPRSGLATVGLSIVPGTIDAGYRGEIKVALINLDPAPIVVHRGDRIAQLLVQRVEL--------VELVEVSSFDEAGLASTSRGDGGWGSSGGHASL---- | |||||||||||||
| 9 | 4xjcA | 0.26 | 0.16 | 4.81 | 1.56 | CNFpred | ----------ETIVLPPH-TFLLATTMETVKLPNHLTAFVEGRSSVGRLGLFIQAGWVDPGFNGQITLELFNANRLPIELPIGRRICQLVFAEVT---------------------------------------------- | |||||||||||||
| 10 | 2r9qB | 0.14 | 0.11 | 3.88 | 1.00 | DEthreader | DRFKSEALGSKLAVLETGC-VYIVPLMESLALPADMSASANPKSSTGRLDIFTRVDKIPAGYTGPLYLEISPRT-FPIVVRRGSRLSQIR-F--R-IGHAL--GAEMTPFD-VGRVRSHE-----------------YEHM | |||||||||||||
| ||||||||||||||||||||
|
Top 10 structural analogs in PDB (as identified by
TM-align)
|
|
Top 5 enzyme homologs in PDB
|
Template proteins with similar binding site:
|
| 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. |