>Q9HC78 (153 residues) NLHNFSNSVLETLNEQRNRGHFCDVTVRIHGSMLRAHRCVLAAGSPFFQDKLLLGYSDIE IPSVVSVQSVQKLIDFMYSGVLRVSQSEALQILTAASILQIKTVIDECTRIVSQNVGDVF PGIQDSGQDTPRGTPESGTSGQSSDTESGYLQS |
Sequence |
20 40 60 80 100 120 140 | | | | | | | NLHNFSNSVLETLNEQRNRGHFCDVTVRIHGSMLRAHRCVLAAGSPFFQDKLLLGYSDIEIPSVVSVQSVQKLIDFMYSGVLRVSQSEALQILTAASILQIKTVIDECTRIVSQNVGDVFPGIQDSGQDTPRGTPESGTSGQSSDTESGYLQS |
Prediction | CCCCHHHHHHHHHHHHHHHCCCSSSSSSSCCSSSSSHHHHHHHCCHHHHHHHHCCCCCSSCCCCCCHHHHHHHHHHHSSCSSSSCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
Confidence | 975479999999999997098533899999999973555587728999999818985322146679999999999751005884688999999998775777899999999998427555654332234677888777765667888887789 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | NLHNFSNSVLETLNEQRNRGHFCDVTVRIHGSMLRAHRCVLAAGSPFFQDKLLLGYSDIEIPSVVSVQSVQKLIDFMYSGVLRVSQSEALQILTAASILQIKTVIDECTRIVSQNVGDVFPGIQDSGQDTPRGTPESGTSGQSSDTESGYLQS |
Prediction | 845521440153045016663000000204656040320040011443331134634524446404270043004103304040457304401400330405502620151057305644563564656445444645644554646645368 |
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 | CCCCHHHHHHHHHHHHHHHCCCSSSSSSSCCSSSSSHHHHHHHCCHHHHHHHHCCCCCSSCCCCCCHHHHHHHHHHHSSCSSSSCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC NLHNFSNSVLETLNEQRNRGHFCDVTVRIHGSMLRAHRCVLAAGSPFFQDKLLLGYSDIEIPSVVSVQSVQKLIDFMYSGVLRVSQSEALQILTAASILQIKTVIDECTRIVSQNVGDVFPGIQDSGQDTPRGTPESGTSGQSSDTESGYLQS | |||||||||||||||||||
1 | 6i2mA | 0.26 | 0.21 | 6.45 | 1.17 | DEthreader | MN--NSSELIAVINGFRNSGRFCDISIVINDERINAHKLILSGASEYFSILFSSNEYEVNLSHLD-YQSVNDLIDYIYGIPLSLTNDNVKYILSTADFLQIGSAITECENYILKNLCSNCFYAKKI--------------------------- | |||||||||||||
2 | 1buoA | 0.23 | 0.17 | 5.34 | 1.65 | SPARKS-K | QNPSHPTGLLCKANQMRLAGTLCDVVIMVDSQEFHAHRTVLACTSKMFEILFHRNSQHYTLD-FLSPKTFQQILEYAYTATLQAKAEDLDDLLYAAEILEIEYLEEQCLKMLETIQ------------------------------------- | |||||||||||||
3 | 3hqiA2 | 0.21 | 0.16 | 5.20 | 1.00 | MapAlign | --------LADELGGLWENSRFTDCCLCVAGQEFQAHKAILAARSPVFSAMFEHKKNRVEI-NDVEPEVFKEMMCFIYTGKAPL-DKMADDLLAAADKYALERLKVMCEDALCSNDLHSADQLKTQAVDF----------------------- | |||||||||||||
4 | 6n34A | 0.27 | 0.20 | 6.22 | 0.79 | CEthreader | EDENFIESSVAKLNALRKSGQFCDVRLQVCGHEMLAHRAVLACCSPYLFEIFNSGISHVKFDD-LNPEAVEVLLNYAYTAQLKADKELVKDVYSAAKKLKMDRVKQVCGDYLLSRM------------------------------------- | |||||||||||||
5 | 4u2nA | 0.26 | 0.25 | 7.85 | 1.33 | MUSTER | DFPQHSQHVLEQLNQQRQLGLLCDCTFVVDGVHFKAHKAVLAACSEYFKMLFVD--KDVVHLDISNAAGLGQVLEFMYTAKLSLSPENVDDVLAVATFLQMQDIITACHALKSLAQ-TLQMEIPNFGNSILECLNEQRLQGLYCDVS--VVKG | |||||||||||||
6 | 3hqiA | 0.19 | 0.16 | 5.27 | 1.81 | HHsearch | MVKVPECRLADELGGLWENSRFTDCCLCVAGQEFQAHKAILAARSPVFSAMFEHKKNRVEINDV-EPEVFKEMMCFIYTGKAPNLDKMADDLLAAADKYALERLKVMCEDALCSNLSVENAAEILILVDNYHA-------------------- | |||||||||||||
7 | 1buoA | 0.23 | 0.17 | 5.33 | 2.07 | FFAS-3D | QNPSHPTGLLCKANQMRLAGTLCDVVIMVDSQEFHAHRTVLACTSKMFEILFHRNSQHYTL-DFLSPKTFQQILEYAYTATLQAKAEDLDDLLYAAEILEIEYLEEQCLKMLET--------------------------------------- | |||||||||||||
8 | 6i2mA | 0.23 | 0.22 | 6.97 | 1.25 | EigenThreader | --MNNSSELIAVINGFRNSGRFCDISIVINDERINAHKLILSGASEYFSILF--SNEYEVNLSHLDYQSVNDLIDYIYGIPLSLTNDNVKYILSTADFLQIGSAITECENYILKNLCINDENFKYLTEESMIKILSDDMLNIKNEDFAPLILI | |||||||||||||
9 | 4u2mA | 0.26 | 0.20 | 6.04 | 1.15 | CNFpred | QFTRHASDVLLNLNRLRSRDILTDVVIVVSREQFRAHKTVLMACSGLFYSIFTCNLSVINLDPEINPEGFCILLDFMYTSRLNLREGNIMAVMATAMYLQMEHVVDTCRKFIKA--------------------------------------- | |||||||||||||
10 | 4hxiA | 0.28 | 0.23 | 6.98 | 1.17 | DEthreader | ----HMGKAFKVMNELRSKQLLCDVMIVAEDVEIEAHRVVLAACSPYFCAMFTGSAAAIEIK-DVDGQTLSKLIDYIYTAEIEVTEENVQVLLPAASLLQLMDVRQNCCDFLQSQLHTNCIRFACTDL------------------------- | |||||||||||||
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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. |