| >Q13488 (143 residues) QRHRLLLETLPELTFLLGLFGYLVFLVIYKWLCVWAARAASAPSILIHFINMFLFSHSPS NRLLYPRQEVVQATLVVLALAMVPILLLGTPLHLLHRHRRRLRRRPADRQEENKAGLLDL PDASVNGWSSDEEKAGGLDDEEE |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | QRHRLLLETLPELTFLLGLFGYLVFLVIYKWLCVWAARAASAPSILIHFINMFLFSHSPSNRLLYPRQEVVQATLVVLALAMVPILLLGTPLHLLHRHRRRLRRRPADRQEENKAGLLDLPDASVNGWSSDEEKAGGLDDEEE |
| Prediction | CSSSSSSSHHHHHHHHHHHHHHHHHHHHHHSCCCCCCCCCCCCHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 92899985207999999999999999853102357888999974999999986179998878786872799999999999999999843289999999999852556655432111124654333577764323578887789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | QRHRLLLETLPELTFLLGLFGYLVFLVIYKWLCVWAARAASAPSILIHFINMFLFSHSPSNRLLYPRQEVVQATLVVLALAMVPILLLGTPLHLLHRHRRRLRRRPADRQEENKAGLLDLPDASVNGWSSDEEKAGGLDDEEE |
| Prediction | 74220301331233333233332231032001121365654210001020201033364565301530431012003303321231233311111233544465445545454545446466454664555456555475578 |
| 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 | CSSSSSSSHHHHHHHHHHHHHHHHHHHHHHSCCCCCCCCCCCCHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC QRHRLLLETLPELTFLLGLFGYLVFLVIYKWLCVWAARAASAPSILIHFINMFLFSHSPSNRLLYPRQEVVQATLVVLALAMVPILLLGTPLHLLHRHRRRLRRRPADRQEENKAGLLDLPDASVNGWSSDEEKAGGLDDEEE | |||||||||||||||||||
| 1 | 6o7ua2 | 0.29 | 0.24 | 7.45 | 3.13 | SPARKS-K | SKVDIIGNFIPGLVFMQSIFGYLSWAIVYKWSKDWIKDDKPAPGLLNMLINMFLAPGTIDDQ-LYSGQAKLQVVLLLAALVCVPWLLLYKPLTLRRLNKFNFGDVMIHQVIHTIEFCLNCIS--------------------- | |||||||||||||
| 2 | 6o7ua2 | 0.34 | 0.24 | 7.12 | 2.11 | MUSTER | SKVDIIGNFIPGLVFMQSIFGYLSWAIVYKWSKDWIKDDKPAPGLLNMLINMFLAPGTI-DDQLYSGQAKLQVVLLLAALVCVPWLLLYKPLTLRRLN------------------------------------------KFN | |||||||||||||
| 3 | 5tj5A | 0.29 | 0.29 | 8.73 | 5.27 | HHsearch | NHLDIIGNFIPGLLFMQGIFGYLSVCIVYKWAVDWVKDGKPAPGLLNMLINMFLSPGTI-DDELYPHQAKVQVFLLLMALVCIPWLLLVKPLHFKFDIMIHQVIHTCLNHTSRALS-LAHAQLSSVLWTMTIQIAFGFRGFVG | |||||||||||||
| 4 | 6o7ua2 | 0.30 | 0.24 | 7.22 | 1.63 | FFAS-3D | SKVDIIGNFIPGLVFMQSIFGYLSWAIVYKWSKDWIKDDKPAPGLLNMLINMFLAPGTI-DDQLYSGQAKLQVVLLLAALVCVPWLLLYKPLTLRRLNKFNFGD----VMIHQVIHTIE------------------------ | |||||||||||||
| 5 | 2yfaA | 0.07 | 0.06 | 2.33 | 1.00 | DEthreader | GDYDTRAARVSMDSSAIRADQAMDALSQEVM-ARPEADSVRLQYISKARQLALDTDKRQLPSE--DARLQQFENAVLAYRDAVRQFRDAVANITTSRAEMTVQGADIVRSDALYQIQLER----------------------- | |||||||||||||
| 6 | 5tj5A | 0.27 | 0.27 | 8.17 | 2.24 | SPARKS-K | NHLDIIGNFIPGLLFMQGIFGYLSVCIVYKWAVDWVKDGKPAPGLLNMLINMFLSPGTI-DDELYPHQAKVQVFLLLMALVCIPWLLLVKPLHFMIHQVIHTIEFCLNCVSHTASYLRLWALSLAHAQLSSVLWTMTIQIAFG | |||||||||||||
| 7 | 6vq6a | 0.35 | 0.34 | 10.24 | 0.89 | MapAlign | -PLNIYFGFIPEIIFMSSLFGYLVILIFYKWTAYDAHSSRNAPSLLIHFINMFLFSYPSGNAMLYSGQKGIQCFLIVVAMLCVPWMLLFKPLILRHQYLRKKFDFGDTMVHQAIHTIEYCLGCISNTASYLRLWALSLAHAQL | |||||||||||||
| 8 | 6vq6a | 0.34 | 0.34 | 10.25 | 0.92 | CEthreader | KPLNIYFGFIPEIIFMSSLFGYLVILIFYKWTAYDAHSSRNAPSLLIHFINMFLFSYPESNAMLYSGQKGIQCFLIVVAMLCVPWMLLFKPLILRHQYLRKKFDFGDTMAHAQLSEVLWTMVIHIGLHVRSLAGGLGLFFIFA | |||||||||||||
| 9 | 1f6gA | 0.12 | 0.12 | 4.16 | 0.80 | MUSTER | GSALHWAAAG--AATVLLVIVLLAGSYLA-VLAERGAPGAQLITYPAALVETATTVGYGDLYPVTLWGRCVAVVVMVAGITSF--LVTAA-LATWFVGREQERRGHFVRHSEKAAEEAYTRTTRALHERFDRLERMLDDNRR- | |||||||||||||
| 10 | 6o7ua2 | 0.30 | 0.24 | 7.43 | 4.81 | HHsearch | SKVDIIGNFIPGLVFMQSIFGYLSWAIVYKWSKDWIKDDKPAPGLLNMLINMFLAPGTI-DDQLYSGQAKLQVVLLLAALVCVPWLLLYKPLTLRRLN-----KFN-F----GDV-MIHQTIEFCLNCIS------------- | |||||||||||||
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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. |