| >Q92482 (148 residues) MGRQKELVSRCGEMLHIRYRLLRQALAECLGTLILVMFGCGSVAQVVLSRGTHGGFLTIN LAFGFAVTLGILIAGQVSGAHLNPAVTFAMCFLAREPWIKLPIYTLAQTLGAFLGAGIVF GLYYDAIWHFADNQLFVSGPNGTAGIFA |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGRQKELVSRCGEMLHIRYRLLRQALAECLGTLILVMFGCGSVAQVVLSRGTHGGFLTINLAFGFAVTLGILIAGQVSGAHLNPAVTFAMCFLAREPWIKLPIYTLAQTLGAFLGAGIVFGLYYDAIWHFADNQLFVSGPNGTAGIFA |
| Prediction | CCCCHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHSHSCCCCCCCSHHHHHHHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCSSCCCCCCCCCCC |
| Confidence | 9852146776544211445999999999999999999964654311003898886122369999999999999738884332689999999947998889799999999999999999999999999861799726438997413359 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGRQKELVSRCGEMLHIRYRLLRQALAECLGTLILVMFGCGSVAQVVLSRGTHGGFLTINLAFGFAVTLGILIAGQVSGAHLNPAVTFAMCFLAREPWIKLPIYTLAQTLGAFLGAGIVFGLYYDAIWHFADNQLFVSGPNGTAGIFA |
| Prediction | 8655562354146235143410330200231133233111000010103444411000013112311220022023212001000100011334414134023012003311330031012013421462466431232352312327 |
| 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 | CCCCHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHSHSCCCCCCCSHHHHHHHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCSSCCCCCCCCCCC MGRQKELVSRCGEMLHIRYRLLRQALAECLGTLILVMFGCGSVAQVVLSRGTHGGFLTINLAFGFAVTLGILIAGQVSGAHLNPAVTFAMCFLAREPWIKLPIYTLAQTLGAFLGAGIVFGLYYDAIWHFADNQLFVSGPNGTAGIFA | |||||||||||||||||||
| 1 | 1ldfA | 0.37 | 0.32 | 9.43 | 1.17 | DEthreader | -------------------TLKGQCIAEFLGTGLLIFFGVGCVAALKVAGAS-FGQWEISVIFGLGVAMAIYLTAGVSGAHLNPAVTIALWLFACFDKRKVIPFIVSQVAGAFCAAALVYGLYYNLFFDFEQTHHI--ESVDLAGTFK | |||||||||||||
| 2 | 6f7hA | 0.50 | 0.44 | 12.74 | 1.63 | SPARKS-K | ------------------SLLARQCLAEFLGVFVLMLLTQGAVAQAVTSGETKGNFFTMFLAGSLAVTIAIYVGGNVSGAHLNPAFSLAMCIVGRLPWVKLPIYILVQLLSAFCASGATYVLYHDALQNYTGGNLTVTGPKETASIFA | |||||||||||||
| 3 | 1ldfA | 0.39 | 0.33 | 9.79 | 1.05 | MapAlign | --------------------LKGQCIAEFLGTGLLIFFGVGCVAALKVA-GASFGQWEISVIFGLGVAMAIYLTAGVSGAHLNPAVTIALWLFACFDKRKVIPFIVSQVAGAFCAAALVYGLYYNLFFDFEQTHHIVRGSVESLGTF- | |||||||||||||
| 4 | 6f7hA | 0.50 | 0.44 | 12.74 | 0.80 | CEthreader | ------------------SLLARQCLAEFLGVFVLMLLTQGAVAQAVTSGETKGNFFTMFLAGSLAVTIAIYVGGNVSGAHLNPAFSLAMCIVGRLPWVKLPIYILVQLLSAFCASGATYVLYHDALQNYTGGNLTVTGPKETASIFA | |||||||||||||
| 5 | 6f7hA | 0.50 | 0.44 | 12.74 | 1.39 | MUSTER | ------------------SLLARQCLAEFLGVFVLMLLTQGAVAQAVTSGETKGNFFTMFLAGSLAVTIAIYVGGNVSGAHLNPAFSLAMCIVGRLPWVKLPIYILVQLLSAFCASGATYVLYHDALQNYTGGNLTVTGPKETASIFA | |||||||||||||
| 6 | 6f7hA | 0.50 | 0.44 | 12.74 | 2.36 | HHsearch | ------------------SLLARQCLAEFLGVFVLMLLTQGAVAQAVTSGETKGNFFTMFLAGSLAVTIAIYVGGNVSGAHLNPAFSLAMCIVGRLPWVKLPIYILVQLLSAFCASGATYVLYHDALQNYTGGNLTVTGPKETASIFA | |||||||||||||
| 7 | 6f7hA | 0.50 | 0.44 | 12.73 | 1.70 | FFAS-3D | -------------------LLARQCLAEFLGVFVLMLLTQGAVAQAVTSGETKGNFFTMFLAGSLAVTIAIYVGGNVSGAHLNPAFSLAMCIVGRLPWVKLPIYILVQLLSAFCASGATYVLYHDALQNYTGGNLTVTGPKETASIFA | |||||||||||||
| 8 | 6f7hA | 0.50 | 0.44 | 12.74 | 0.98 | EigenThreader | ------------------SLLARQCLAEFLGVFVLMLLTQGAVAQAVTSGETKGNFFTMFLAGSLAVTIAIYVGGNVSGAHLNPAFSLAMCIVGRLPWVKLPIYILVQLLSAFCASGATYVLYHDALQNYTGGNLTVTGPKETASIFA | |||||||||||||
| 9 | 3cn6A | 0.29 | 0.22 | 6.59 | 1.14 | CNFpred | -------------------SFWRAAIAEFIATLLFLYITVATVIGHSKEVCGSVGLLGIAWAFGGMIFVLVYCTAGISGGHINPAVTFGLFLARKVSLLRALVYMIAQCLGAICGVGLVKAFMKGPYNQFG----------------- | |||||||||||||
| 10 | 6n1gA | 0.51 | 0.43 | 12.52 | 1.17 | DEthreader | -------------------KMVREFLAEFMSTYVMMVFGLGSVAHMVLNKKY-GSYLGVNLGFGFGVTMGVHVAGRISGAHMNAAVTFANCALGRVPWRKFPVYVLGQFLGSFLAAATIYSLFYTAILHFSGGQLM---PVATAGIFR | |||||||||||||
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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. |