| >Q9NYW6 (144 residues) KKRSEYYLIHVLGTLWYLPPLIVSLASYSLLIFSLGRHTRQMLQNGTSSRDPTTEAHKRA IRIILSFFFLFLLYFLAFLIASFGNFLPKTKMAKMIGEVMTMFYPAGHSFILILGNSKLK QTFVVMLRCESGHLKPGSKGPIFS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KKRSEYYLIHVLGTLWYLPPLIVSLASYSLLIFSLGRHTRQMLQNGTSSRDPTTEAHKRAIRIILSFFFLFLLYFLAFLIASFGNFLPKTKMAKMIGEVMTMFYPAGHSFILILGNSKLKQTFVVMLRCESGHLKPGSKGPIFS |
| Prediction | CCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHCCCCCCCCCCCCC |
| Confidence | 972167799999999999989999999999999999999998714899999973899999999999999999999999999998751333589999999999954676678871884999999999998524232787465679 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KKRSEYYLIHVLGTLWYLPPLIVSLASYSLLIFSLGRHTRQMLQNGTSSRDPTTEAHKRAIRIILSFFFLFLLYFLAFLIASFGNFLPKTKMAKMIGEVMTMFYPAGHSFILILGNSKLKQTFVVMLRCESGHLKPGSKGPIFS |
| Prediction | 855441022233333333333333332333133003203430454364441131400230031033133333333312332223333444311212123311321331120002214401400230032031203645554448 |
| 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 | CCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHCCCCCCCCCCCCC KKRSEYYLIHVLGTLWYLPPLIVSLASYSLLIFSLGRHTRQMLQNGTSSRDPTTEAHKRAIRIILSFFFLFLLYFLAFLIASFGNFLPKTKMAKMIGEVMTMFYPAGHSFILILGNSKLKQTFVVMLRCESGHLKPGSKGPIFS | |||||||||||||||||||
| 1 | 4zwjA | 0.07 | 0.07 | 2.83 | 1.17 | DEthreader | DM-TLKPNNESFVIYMFVVHFTIPMIIFFCYGQLVFTVKEAAAQQQESATQKAEKEVTRMVIIYVIAFLICWVPYASVAFYIFHQGSCFGPIFMTIPAFFAKSAAIYNPVIYIMMNKQFRNCMLTTIC-CGKN-----DIDMGL | |||||||||||||
| 2 | 4rnbA3 | 0.13 | 0.12 | 4.08 | 1.36 | SPARKS-K | GEIYPKMYHICFFLVTYMAPLCLMVLAYLQIFRKLWSKFRENCKKRAMSFSKQIRARRKTARMLMVVLLVFAICYLPISILNVLKRVFGMYAWFTFSHWLVYANSAANPIIYNFLSGKFREEFKAAFSC--------------- | |||||||||||||
| 3 | 3jacA | 0.07 | 0.07 | 2.85 | 0.66 | MapAlign | ---GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG | |||||||||||||
| 4 | 3jacA | 0.07 | 0.07 | 2.86 | 0.43 | CEthreader | --GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG | |||||||||||||
| 5 | 2ks9A | 0.15 | 0.15 | 4.92 | 1.01 | MUSTER | NKIYEKVYHICVTVLIYFLPLLVIGYAYTVVGITLWASEI--PGDSSDRYHEQVSAKRKVVKMMIVVVCTFAICWLPFHIFFLLPYINPDLQVYLAIMWLAMSSTMYNPIIYCCLNDRFRLGFKHAFRCCPFISAGDYEGLEMK | |||||||||||||
| 6 | 4rnbA | 0.12 | 0.11 | 3.90 | 1.72 | HHsearch | GEIYPKMYHICFFLVTYMAPLCLMVLAYLQIFRKLWCRQGIDCSFWNMSFSKQIRARRKTARMLMVVLLVFAICYLPISILNVLKRVFGDYAWFTFSHWLVYANSAANPIIYNFLSGKFREEFKAAFSC--------------- | |||||||||||||
| 7 | 2ziyA | 0.13 | 0.12 | 4.34 | 1.57 | FFAS-3D | RDSTTRSNILCMFILGFFGPILIIFFCYFNIVMSVSNHEKEMAAMAKRLNAKEANAEMRLAKISIVIVSQFLLSWSPYAVVALLPLEWVTPYAAQLPVMFAKASAIHNPMIYSVSHPKFREAISQTFPWVLTCCQFDDK----- | |||||||||||||
| 8 | 4rnbA3 | 0.12 | 0.11 | 3.90 | 0.78 | EigenThreader | GEIYPKMYHICFFLVTYMAPLCLMVLAYLQIFRKLWCRQRENCKKRAMSFSKQIRARRKTARMLMVVLLVFAICYLPISILNVLKRVFGMFAWFTFSHWLVYANSAANPIIYNFLSGKFREEFKAAF------SC--------- | |||||||||||||
| 9 | 4ww3A | 0.13 | 0.12 | 4.37 | 0.94 | CNFpred | RDSTTRSNILCMFILGFFGPILIIFFCYFNIVMSVSNHEKEMAAMALRKAQAGANAEMRLAKISIVIVSQFLLSWSPYAVVALLAQFG-TPYAAQLPVMFAKASAIHNPMIYSVSHPKFREAISQTFPWVLTCCQFDDKETEDD | |||||||||||||
| 10 | 3capA | 0.10 | 0.09 | 3.33 | 1.00 | DEthreader | --TPHETNNESFVIYMFVVHIIPLIVIFFCYGQLVFTVKEAAAQQQESATQKAEKEVTRMVIIMVIAFLICWLPYAGVAFYIFTHQGSDFPIFMTIPAFFAKTSAVYNPVIYIM-M--N-KQFRNCMVTTCGKN---------- | |||||||||||||
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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, 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. |