| >Q6PD62 (246 residues) MSRGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEF VKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMA DKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYR GALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAV LELNNK |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MSRGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLELNNK |
| Prediction | CCCCCSSSCCCCCCSSSSSCHHHCCCHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHCC |
| Confidence | 997644531346771577665536897999999980777779999999999991999999999999998664667760567899999999999999889866778999999999999999984999999999999999997299999999999999869998999999999999919999999999999997999978999979999999099999999999999979999999998999987159 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MSRGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLELNNK |
| Prediction | 745420401054443103021760651730151056362524100300200143431630150044016423542452454113003200210032023343464245104401610440261237214000010100044373164016104400733372040022101012437416401610440062127241300000020034265264016005300503172030010001020478 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCSSSCCCCCCSSSSSCHHHCCCHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHCC MSRGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLELNNK | |||||||||||||||||||
| 1 | 6af0A1 | 0.23 | 0.23 | 7.13 | 1.50 | DEthreader | -DIPQTIDIPMQDDVEVEIDLQVLPDDPELCSVFENEQSPRIYWMTVALAYAKQNKIDFAIEMLLRGANVLQG-N---QREKLGIITCICWLYLWKSREAPRVATKEYYLQLATQSLNDASRINPAFPPLFLARGVLILLKAKQLRNALKSFEEAIRVSGRNMLAVMGKARALFSLGRYPESLAAYQDVVAKMPDMVPDPRIGIGCCFWQLGFKDDAKIAWERCLEINPDSKHANILLGLYYLDAH | |||||||||||||
| 2 | 5zyqA | 1.00 | 0.99 | 27.66 | 1.65 | SPARKS-K | --RGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLELNEK | |||||||||||||
| 3 | 3sf4A | 0.12 | 0.12 | 4.28 | 0.63 | MapAlign | SCLELAGELCKSGDCGVFFAVQLGNALEYHHHDLTLALGEAKASGNLGNTLKVLGNFDEAIVCCQRHLDI--SRELNDKVGEARALYNLGNVYHAKGKSFEFPEEVRDALQAAVDFYEENLSLVRAAGRAFGNLGNTHYLL-GNFRDAVIAHEQRLLIAKAARRAYSNLGNAYIFLGEFETASEYYKKTLLLARAVEAQSCYSLGNTYTLLQDYEKAIDYHLKHLAIAQGEGRACWSLGNAYTAL- | |||||||||||||
| 4 | 5zyqA | 1.00 | 0.99 | 27.66 | 0.44 | CEthreader | --RGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLELNEK | |||||||||||||
| 5 | 5zyqA | 1.00 | 0.99 | 27.66 | 1.56 | MUSTER | --RGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLELNEK | |||||||||||||
| 6 | 6af0A | 0.18 | 0.17 | 5.57 | 0.73 | HHsearch | DIPQTIDIPMQD-DVEVEIDLQVLPDPTELCSVFENEQSPRIYWMTVALAYAKQNKIDFAIEMLLRGANV--------LQGNLGIITCICWLYLWKSREAATFLARAEQLRNALKSFEEAIRSQGRNMLAVMGKARALFSL-GRYPESLAAYQDVVAKMPDDPDPRIGIGCCFWQLGFKDDAKIAWERCLEINPDSK-HANILLGLYYLDASLYKKAMTYTQKSFKLDKNLPLTCATFAGYFLSRK | |||||||||||||
| 7 | 5zyqA | 1.00 | 0.99 | 27.66 | 3.17 | FFAS-3D | --RGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLELNEK | |||||||||||||
| 8 | 5zyqA | 0.97 | 0.96 | 26.89 | 0.88 | EigenThreader | -RGSI-EIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLEKHDL | |||||||||||||
| 9 | 5zyqA | 1.00 | 0.98 | 27.54 | 1.71 | CNFpred | --RGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLELN-- | |||||||||||||
| 10 | 5zyqA | 1.00 | 0.98 | 27.55 | 1.50 | DEthreader | --RGSIEIPLRDTDEVIELDFDQLPEGDEVISILKQEHTQLHIWIALALEYYKQGKTEEFVKLLEAARIDGNLDYRDHEKDQMTCLDTLAAYYVQQARKEKNKDNKKDLITQATLLYTMADKIIMYDQNHLLGRACFCLLEGDKMDQADAQFHFVLNQSPNNIPALLGKACISFNKKDYRGALAYYKKALRTNPGCPAEVRLGMGHCFVKLNKLEKARLAFSRALELNSKCVGALVGLAVLELNK- | |||||||||||||
| ||||||||||||||||||||
|
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. |