| >P22792 (142 residues) ETVAEGTFAHLSNLRSLMLSYNAITHLPAGIFRDLEELVKLYLGSNNLTALHPALFQNLS KLELLSLSKNQLTTLPEGIFDTNYNLFNLALHGNPWQCDCHLAYLFNWLQQYTDRLLNIQ TYCAGPAYLKGQVVPALNEKQL |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | ETVAEGTFAHLSNLRSLMLSYNAITHLPAGIFRDLEELVKLYLGSNNLTALHPALFQNLSKLELLSLSKNQLTTLPEGIFDTNYNLFNLALHGNPWQCDCHLAYLFNWLQQYTDRLLNIQTYCAGPAYLKGQVVPALNEKQL |
| Prediction | CCCCCCCCCCCCCCCSSSCCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCCCHHHHCCCCCCCSSSSCCCCCCCCCCSHHHHHHHHHCCCCCCCCCSSSCCCCCCCCCSSCCCCHHHC |
| Confidence | 9879886678878989889999688579998998756779668999697159120167788988788899798689124257989989882499766755117999999982676467741766985349917420594229 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | ETVAEGTFAHLSNLRSLMLSYNAITHLPAGIFRDLEELVKLYLGSNNLTALHPALFQNLSKLELLSLSKNQLTTLPEGIFDTNYNLFNLALHGNPWQCDCHLAYLFNWLQQYTDRLLNIQTYCAGPAYLKGQVVPALNEKQL |
| Prediction | 8534753166255044030450305413752256045044020550304413741066055044040461304312630146053044030471343340402202400563464146441314315616534045146778 |
| 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 | CCCCCCCCCCCCCCCSSSCCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCCCHHHHCCCCCCCSSSSCCCCCCCCCCSHHHHHHHHHCCCCCCCCCSSSCCCCCCCCCSSCCCCHHHC ETVAEGTFAHLSNLRSLMLSYNAITHLPAGIFRDLEELVKLYLGSNNLTALHPALFQNLSKLELLSLSKNQLTTLPEGIFDTNYNLFNLALHGNPWQCDCHLAYLFNWLQQYTDRLLNIQTYCAGPAYLKGQVVPALNEKQL | |||||||||||||||||||
| 1 | 4rcaB | 0.29 | 0.29 | 8.79 | 1.50 | DEthreader | ISFRKQTFLGLDDLEYLQADFNLLRDIDPGAFQDLNKLEVLILNDNLISTLPANVFQYV-PITHLDLRGNRLKTLPYEVLEQIPGIAEILLEDNPWDCTCDLLSLKEWLENIPKNALIGRVVCEAPTRLQGKDLNETTEQDL | |||||||||||||
| 2 | 3zyiA3 | 0.28 | 0.27 | 8.19 | 2.55 | SPARKS-K | KDMPN--LTPLVGLEELEMSGNHFPEIRPGSFHGLSSLKKLWVMNSQVSLIERNAFDGLASLVELNLAHNNLSSLPHDLFTPLRYLVELHLHHNPWNCDCDILWLAWWLREYIS---TCCGRCHAPMHMRGRYLVEVDQASF | |||||||||||||
| 3 | 1p8tA | 0.34 | 0.33 | 9.92 | 0.58 | MapAlign | QALPDDTFRDLGNLTHLFLHGNRISSVPERAFRGLHSLDRLLLHQNRVAHVHPHAFRDLGRLMTLYLFANNLSALPTEALAPLRALQYLRLNDNPWVCDCRARPLWAWLQKF-RGSS-SEVPCSLPQRLAGRDLKRLAANDL | |||||||||||||
| 4 | 1p8tA2 | 0.34 | 0.33 | 9.92 | 0.41 | CEthreader | QALPDDTFRDLGNLTHLFLHGNRISSVPERAFRGLHSLDRLLLHQNRVAHVHPHAFRDLGRLMTLYLFANNLSALPTEALAPLRALQYLRLNDNPWVCDCRARPLWAWLQKFRGSS--SEVPCSLPQRLAGRDLKRLAANDL | |||||||||||||
| 5 | 3rfjA2 | 0.35 | 0.34 | 10.10 | 2.19 | MUSTER | QSLPDGVFDKLTNLTYLYLYHNQLQSLPKGVFDKLTNLTRLDLDNNQLQSLPEGVFDKLTQLKQLSLNDNQLKSVPDGVFDRLTSLTHIWLLNNPWDCACDILYLSRWISQHPGLVDPDSARCSG----TNTPVRAVTEAST | |||||||||||||
| 6 | 5y31B | 0.31 | 0.31 | 9.35 | 0.91 | HHsearch | TEISEGSFLFTPSLQLLLFTSNSFDVISDDAFIGLPHLEYLFIENNNIKSISRHTFRGLKSLIHLSLANNNLQTLPKDIFKGLDSLTNVDLRGNSFNCDCKLKWLVEWLGHTNATV--EDIYCEGPPEYKKRKINSLSSKDF | |||||||||||||
| 7 | 1p8tA2 | 0.34 | 0.34 | 10.11 | 1.73 | FFAS-3D | RSVDPATFHGLGRLHTLHLDRCGLQELGPGLFRGLAALQYLYLQDNALQALPDHAFRDLGRLMTLYLFANNLSALPTEALAPLRALQYLRLNDNPWVCDCRARPLWAWLQKFR--GSSSEVPCSLPQRLAGRDLKRLAANDL | |||||||||||||
| 8 | 4rcaB2 | 0.28 | 0.27 | 8.39 | 0.73 | EigenThreader | KSFRKQTFLGLDDLEYLQADFNLLRDIDPGAFQDLNKLEVLILNDNLISTLPANVFQYV-PITHLDLRGNRLKTLPYEVLEQIPGIAEILLEDNPWDCTCDLLSLKEWLENIPKNALIGRVVAPTR--LQGKDLNETTEQDL | |||||||||||||
| 9 | 4p91A | 0.33 | 0.32 | 9.73 | 5.21 | CNFpred | LHLQDDLFADLANLSHLFLHGNRLRLLTEHVFRGLGSLDRLLLHGNRLQGVHRAAFHGLSRLTILYLFNNSLASLPGEALADLPALEFLRLNANPWACDCRARPLWAWFQRARVS--SSDVTCATPPERQGRDLRTLRDTDF | |||||||||||||
| 10 | 4rcaB2 | 0.29 | 0.29 | 8.79 | 1.50 | DEthreader | ISFRKQTFLGLDDLEYLQADFNLLRDIDPGAFQDLNKLEVLILNDNLISTLPANVFQYV-PITHLDLRGNRLKTLPYEVLEQIPGIAEILLEDNPWDCTCDLLSLKEWLENIPKNALIGRVVCEAPTRLQGKDLNETTEQDL | |||||||||||||
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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. |