| >Q6UXS9 (249 residues) EREANMPGLNIRNKEFNYLHNRNGSELDLLGMRDLLENLGYSVVIKENLTAQEMETALRQ FAAHPEHQSSDSTFLVFMSHSILNGICGTKHWDQEPDVLHDDTIFEIFNNRNCQSLKDKP KVIIMQACRGNGAGIVWFTTDSGKASADTHGRLLQGNICNDAVTKAHVEKDFIAFKSSTP HNVSWRHETNGSVFISQIIYYFREYSWSHHLEEIFQKVQHSFETPNILTQLPTIERLSMT RYFYLFPGN |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | EREANMPGLNIRNKEFNYLHNRNGSELDLLGMRDLLENLGYSVVIKENLTAQEMETALRQFAAHPEHQSSDSTFLVFMSHSILNGICGTKHWDQEPDVLHDDTIFEIFNNRNCQSLKDKPKVIIMQACRGNGAGIVWFTTDSGKASADTHGRLLQGNICNDAVTKAHVEKDFIAFKSSTPHNVSWRHETNGSVFISQIIYYFREYSWSHHLEEIFQKVQHSFETPNILTQLPTIERLSMTRYFYLFPGN |
| Prediction | CCCCCCSSSSSSCCCCCCCCCCCCHHHHHHHHHHHHHHCCCSSSSSCCCCHHHHHHHHHHHHHHHCCCCCCSSSSSSSCCCCCCCSCCCCCCCCCCCCCCHHHHHHHHHHCCCHHHCCCCSSSSSSCCCCCCCCCCSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCCCSSSCCCCCCCCHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHCCCCCSSCSSSSSCCCCSSSSCCCC |
| Confidence | 998885899983435799988999399999999999991998999708999999999999998622689988999961378766301345655666423499999986120295665995399982457887666524337886444555544344556776413577885799997135425226899897899999999998688986999999999999713898032235721244237829899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | EREANMPGLNIRNKEFNYLHNRNGSELDLLGMRDLLENLGYSVVIKENLTAQEMETALRQFAAHPEHQSSDSTFLVFMSHSILNGICGTKHWDQEPDVLHDDTIFEIFNNRNCQSLKDKPKVIIMQACRGNGAGIVWFTTDSGKASADTHGRLLQGNICNDAVTKAHVEKDFIAFKSSTPHNVSWRHETNGSVFISQIIYYFREYSWSHHLEEIFQKVQHSFETPNILTQLPTIERLSMTRYFYLFPGN |
| Prediction | 855531200000034066067171063006203500561403120242041620251045015435344000000000122443201003334466422414301520445405303520100002004446344323434444444434454344434543334244442000001213321143257410100120051046305623024004301520575754212011233203140103268 |
| 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 | CCCCCCSSSSSSCCCCCCCCCCCCHHHHHHHHHHHHHHCCCSSSSSCCCCHHHHHHHHHHHHHHHCCCCCCSSSSSSSCCCCCCCSCCCCCCCCCCCCCCHHHHHHHHHHCCCHHHCCCCSSSSSSCCCCCCCCCCSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCCCSSSCCCCCCCCHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHCCCCCSSCSSSSSCCCCSSSSCCCC EREANMPGLNIRNKEFNYLHNRNGSELDLLGMRDLLENLGYSVVIKENLTAQEMETALRQFAAHPEHQSSDSTFLVFMSHSILNGICGTKHWDQEPDVLHDDTIFEIFNNRNCQSLKDKPKVIIMQACRGNGAGIVWFTTDSGKASADTHGRLLQGNICNDAVTKAHVEKDFIAFKSSTPHNVSWRHETNGSVFISQIIYYFREYSWSHHLEEIFQKVQHSFETPNILTQLPTIERLSMTRYFYLFPGN | |||||||||||||||||||
| 1 | 1jxqA | 0.27 | 0.23 | 7.14 | 1.33 | DEthreader | SMEPCGHCLIINNVNFCSLRTRTGSNIDCEKLRRRFSSLHFMVEVKGDLTAKKMVLALLELARQD-HGALDCCVVVILSHGCQAAVYGTDG-----CPVSVEKIVNIFNGTSCPSLGGKPKLFFIQACGGE-Q-KDHG--------------------------LPTPS-DIFVSYSTFPGFVSWRDPKSGSWYVETLDDIFEQWAHSEDLQSLLLRVANAVSVKGIYKQMPGCFN-FLRKKLFFKTS- | |||||||||||||
| 2 | 3e4cA | 0.55 | 0.53 | 15.27 | 2.14 | SPARKS-K | KSSRTRLALIICNEEFDSIPRRTGAEVDITGMTMLLQNLGYSVDVKKNLTASDMTTELEAFAHRPEHKTSDSTFLVFMSHGIREGICGKKHSEQVPDILQLNAIFNMLNTKNCPSLKDKPKVIIIQAARGDSPGVVWFKDSLPT----------TEEFEDDAIKKAHIEKDFIAFCSSTPDNVSWRHPTMGSVFIGRLIEHMQEYACSCDVEEIFRKVRFSFEQPDGRAQMPTTERVTLTRCFYLFPGH | |||||||||||||
| 3 | 1jxqA | 0.27 | 0.23 | 7.14 | 1.16 | MapAlign | --EPCGHCLIINNVNFCSLRTRTGSNIDCEKLRRRFSSLHFMVEVKGDLTAKKMVLALLELARQD-HGALDCCVVVILSHGCQAAVYGTDG-----CPVSVEKIVNIFNGTSCPSLGGKPKLFFIQACGGEQK--------------------------DHGFEVLPTPSDIFVSYSTFPGFVSWRDPKSGSWYVETLDDIFEQWAHSEDLQSLLLRVANAVSVKGIYKQMPGCFN-FLRKKLFFKTS- | |||||||||||||
| 4 | 4m9rA | 0.29 | 0.25 | 7.70 | 0.84 | CEthreader | FSSPRGMCLIINNEHFEQMPTRNGTKADKDNLTNLFRCMGYTVICKDNLTGRGMLLTIRDFAKHESH--GDSAILVILSHGEENVIIGVDD-----IPISTHEIYDLLNAANAPRLANKPKIVFVQASRGERRDNGF------------------------PVRKKPSQADILIAYATTAQYVSWRNSARGSWFIQAVCEVFSTHAKDMDVVELLTEVNKKVACGFQLKQMPEMTS-RLLKKFYFWPEA | |||||||||||||
| 5 | 3e4cA | 0.54 | 0.52 | 14.95 | 1.84 | MUSTER | KSSRTRLALIICNEEFDSIPRRTGAEVDITGMTMLLQNLGYSVDVKKNLTASDMTTELEAFAHRPEHKTSDSTFLVFMSHGIREGICGKKHSEQVPDILQLNAIFNMLNTKNCPSLKDKPKVIIIQAARGDSPGV----------VWFKDSLPTTEEFEDDAIKKAHIEKDFIAFCSSTPDNVSWRHPTMGSVFIGRLIEHMQEYACSCDVEEIFRKVRFSFEQPDGRAQMPTTERVTLTRCFYLFPGH | |||||||||||||
| 6 | 3e4cA | 0.55 | 0.53 | 15.27 | 2.40 | HHsearch | KSSRTRLALIICNEEFDSIPRRTGAEVDITGMTMLLQNLGYSVDVKKNLTASDMTTELEAFAHRPEHKTSDSTFLVFMSHGIREGICGKKHSEQVPDILQLNAIFNMLNTKNCPSLKDKPKVIIIQAARGDSPGVVWFKDSLP----------TTEEFEDDAIKKAHIEKDFIAFCSSTPDNVSWRHPTMGSVFIGRLIEHMQEYACSCDVEEIFRKVRFSFEQPDGRAQMPTTERVTLTRCFYLFPGH | |||||||||||||
| 7 | 3e4cA | 0.55 | 0.53 | 15.27 | 2.48 | FFAS-3D | KSSRTRLALIICNEEFDSIPRRTGAEVDITGMTMLLQNLGYSVDVKKNLTASDMTTELEAFAHRPEHKTSDSTFLVFMSHGIREGICGKKHSEQVPDILQLNAIFNMLNTKNCPSLKDKPKVIIIQAARGDSPGVVWFKDSLPTT----------EEFEDDAIKKAHIEKDFIAFCSSTPDNVSWRHPTMGSVFIGRLIEHMQEYACSCDVEEIFRKVRFSFEQPDGRAQMPTTERVTLTRCFYLFPGH | |||||||||||||
| 8 | 3e4cA | 0.54 | 0.52 | 14.95 | 1.10 | EigenThreader | KSSRTRLALIICNEEFDSIPRRTGAEVDITGMTMLLQNLGYSVDVKKNLTASDMTTELEAFAHRPEHKTSDSTFLVFMSHGIREGICGKKHSEQVPDILQLNAIFNMLNTKNCPSLKDKPKVIIIQAARGDSPGV-------VWF---KDSLPTTEEFEDDAIKKAHIEKDFIAFCSSTPDNVSWRHPTMGSVFIGRLIEHMQEYACSCDVEEIFRKVRFSFEQPDGRAQMPTTERVTLTRCFYLFPGH | |||||||||||||
| 9 | 3e4cA | 0.56 | 0.53 | 15.26 | 2.45 | CNFpred | KSSRTRLALIICNEEFDSIPRRTGAEVDITGMTMLLQNLGYSVDVKKNLTASDMTTELEAFAHRPEHKTSDSTFLVFMSHGIREGICGKKHSEQVPDILQLNAIFNMLNTKNCPSLKDKPKVIIIQAARGDSPGVVWFKD--------------TEEFEDDAIKKAHIEKDFIAFCSSTPDNVSWRHPTMGSVFIGRLIEHMQEYACSCDVEEIFRKVRFSFEQPDGRAQMPTTERVTLTRCFYLFPGH | |||||||||||||
| 10 | 3e4cA | 0.52 | 0.46 | 13.35 | 1.33 | DEthreader | KSSRTRLALIICNEEFDSIPRRTGAEVDITGMTMLLQNLGYSVDVKKNLTASDMTTELEAFAHRPEHKTSDSTFLVFMSHGIREGICGKKHSEQVPDILQLNAIFNMLNTKNCPSLKDKPKVIIIQAARGDSP--G--------------------VVW--FKDS-HIEKDFIAFCSS----TPDNVSHMGSVFIGRLIEHMQEYACSCDVEEIFRKVRFSFEQPDGRAQMPTTERVTLTRCFYLFPGH | |||||||||||||
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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. |