| >P13984 (249 residues) MAERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNE DLANIHDIGGKPASVSAPREHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAA SENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADK QHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPEYR HYQGEEKSD |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MAERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNEDLANIHDIGGKPASVSAPREHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPEYRHYQGEEKSD |
| Prediction | CCCCCCCCCCCCCCCCSSSSSSCCHHHHHHHHHCCCCCCSSSSSSCCCCCCCCSSSSSCCHHHHHHCCCCCCCCCCCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSSSSSSSSSSCCCHHHHHHHHHHHHHHCCCCSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCHHHCHHHCCCHHHHHHHHHHHHHHCCCCCHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCSSCCHHHHHCCCHHHCC |
| Confidence | 996667777778888659999865999999984889885189998379997416899562022220257887656798655046513798645887405899558999998779988589958999999999996089158787067543455776665443322211102301101799999999999998667977889999866978999999999998733788788255378897622022139 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MAERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNEDLANIHDIGGKPASVSAPREHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPEYRHYQGEEKSD |
| Prediction | 856646251644745320000000410052056268744003020446844541303046524425625543654514562504146365430100044466312010303440403136375035124532454454443254147244443443553444464555456653444344730252015105636303154037307203510240054004214445344303025104736566678 |
| 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 | CCCCCCCCCCCCCCCCSSSSSSCCHHHHHHHHHCCCCCCSSSSSSCCCCCCCCSSSSSCCHHHHHHCCCCCCCCCCCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSSSSSSSSSSCCCHHHHHHHHHHHHHHCCCCSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCHHHCHHHCCCHHHHHHHHHHHHHHCCCCCHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCSSCCHHHHHCCCHHHCC MAERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNEDLANIHDIGGKPASVSAPREHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPEYRHYQGEEKSD | |||||||||||||||||||
| 1 | 5iy6T | 0.84 | 0.43 | 12.22 | 0.67 | DEthreader | --ERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNEDLAN---------------EHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASE-NYMRLKRLQIEESSKPVR---------TTNYK---------------------------------------------------------------------------------------------- | |||||||||||||
| 2 | 5iy6T | 0.99 | 0.88 | 24.64 | 3.12 | SPARKS-K | -AERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNED---------------LANEHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPE----------- | |||||||||||||
| 3 | 5iy6T | 0.99 | 0.87 | 24.30 | 1.34 | MapAlign | ---RGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNEDL---------------ANEHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELK------------- | |||||||||||||
| 4 | 5iy6T | 0.99 | 0.88 | 24.64 | 1.48 | CEthreader | -AERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNED---------------LANEHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPE----------- | |||||||||||||
| 5 | 5iy6T | 0.99 | 0.88 | 24.64 | 2.58 | MUSTER | -AERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNED---------------LANEHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPE----------- | |||||||||||||
| 6 | 4v1nR | 0.32 | 0.13 | 3.99 | 3.41 | HHsearch | -EESLDLDLE--RSNRQVWLVRLPMFLAEKWRDRNHGQELGKIRINKD--GSKITLLLNEN-----------DNDSIPHEYDLELTKKVVENEYVFTEQNLKKTAIVGTVCHECQVMPS---------------------------------------------------------------------------------------------------------------------------------- | |||||||||||||
| 7 | 5iy6T | 0.98 | 0.87 | 24.42 | 3.04 | FFAS-3D | -AERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLN---------------EDLANEHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPE----------- | |||||||||||||
| 8 | 5iy6T | 0.84 | 0.71 | 20.04 | 1.48 | EigenThreader | AERGELDLTGAKQNTGV-WLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLN---------------EDLANEHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKDKV-----VTTNYK---PVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFE---KHQLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPE----------- | |||||||||||||
| 9 | 5iy6T | 1.00 | 0.89 | 24.96 | 2.83 | CNFpred | -AERGELDLTGAKQNTGVWLVKVPKYLSQQWAKASGRGEVGKLRIAKTQGRTEVSFTLNEDLAN---------------EHPFVLQSVGGQTLTVFTESSSDKLSLEGIVVQRAECRPAASENYMRLKRLQIEESSKPVRLSQQLDKVVTTNYKPVANHQYNIEYERKKKEDGKRARADKQHVLDMLFSAFEKHQYYNLKDLVDITKQPVVYLKEILKEIGVQNVKGIHKNTWELKPE----------- | |||||||||||||
| 10 | 5a9qA | 0.05 | 0.04 | 1.67 | 0.67 | DEthreader | IDPLSLPTDNTYLLKPILQIQIAV--IENSE-SL---DCQLLAVT-H----AGVRLYFSTC----------------VHVRLPEPSK------------------------VHRALLVNHDPFMMTSPVVVQQMLRGNIASLVVAQKELQ--L-GAASNLQCANELLQYQISNLSLTAEK-DPQGLGLHFYKHGEPL--FQERLNSYCIMLLFSSPFLEPHVRMAKRYMDL------------------ | |||||||||||||
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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. |