| >Q9NS69 (142 residues) MAAAVAAAGAGEPQSPDELLPKGDAEKPEEELEEDDDEELDETLSERLWGLTEMFPERVR SAAGATFDLSLFVAQKMYRFSRAALWIGTTSFMILVLPVVFETEKLQMEQQQQLQQRQIL LGPNTGLSGGMPGALPSLPGKI |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAAVAAAGAGEPQSPDELLPKGDAEKPEEELEEDDDEELDETLSERLWGLTEMFPERVRSAAGATFDLSLFVAQKMYRFSRAALWIGTTSFMILVLPVVFETEKLQMEQQQQLQQRQILLGPNTGLSGGMPGALPSLPGKI |
| Prediction | CCCHHHCCCCCCCCCCCCCCCCCCCCCCHHHCCCCCCCCCCCCHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 9412321368999997545666777885121355666776676999999985208988999999999999999999999722469999999999999999999999999999999988631787545789999999999999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAAVAAAGAGEPQSPDELLPKGDAEKPEEELEEDDDEELDETLSERLWGLTEMFPERVRSAAGATFDLSLFVAQKMYRFSRAALWIGTTSFMILVLPVVFETEKLQMEQQQQLQQRQILLGPNTGLSGGMPGALPSLPGKI |
| Prediction | 7433345344664454674347764744455356445544411111033103401246214303420420232033124333322113333333333121113434425543644542333234443445464444446568 |
| 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 | CCCHHHCCCCCCCCCCCCCCCCCCCCCCHHHCCCCCCCCCCCCHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCC MAAAVAAAGAGEPQSPDELLPKGDAEKPEEELEEDDDEELDETLSERLWGLTEMFPERVRSAAGATFDLSLFVAQKMYRFSRAALWIGTTSFMILVLPVVFETEKLQMEQQQQLQQRQILLGPNTGLSGGMPGALPSLPGKI | |||||||||||||||||||
| 1 | 7cp9G | 0.93 | 0.56 | 15.82 | 1.79 | SPARKS-K | --------------------------------EEELEEDDDEELSERLWGLTEMFPERVRSAAGATFDLSLFVAQKMYRFSRAALWIGTTSFMILVLPVVFETEKLQMEQQQQLQQRQ------------------------ | |||||||||||||
| 2 | 7ck6C | 1.00 | 0.37 | 10.45 | 3.03 | HHsearch | -----------------------------------------------------------------TFDLSLFVAQKMYRFSRAALWIGTTSFMILVLPVVFETEKLQMEQQQQLQQRQ------------------------ | |||||||||||||
| 3 | 7aocA2 | 0.08 | 0.08 | 3.28 | 0.41 | CEthreader | VPGKYWSPDSEEGSVLFDDGELLCGILDKSSFGASAFGLVHSVLLSVLSRLFTAYGDNWRRQLLENGKSFGLEAASEYVGLSTDSPIALLNANLEEVYRDDEKLQGLDAAMKGKMNGLTSSIINKCIPDGLLTKFPYNHMQT | |||||||||||||
| 4 | 6f1tX2 | 0.09 | 0.09 | 3.46 | 0.53 | EigenThreader | HIIRLESLQAEIKMLSDRKRELEHRLSATLEENDLLQGTVEELQDRVLILERQGH--DKDLQLHQSQLELQEVRLSYRQLQGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG | |||||||||||||
| 5 | 7ck6C | 1.00 | 0.37 | 10.25 | 0.88 | FFAS-3D | ------------------------------------------------------------------FDLSLFVAQKMYRFSRAALWIGTTSFMILVLPVVFETEKLQMEQQQQLQQRQ------------------------ | |||||||||||||
| 6 | 6w1sD | 0.10 | 0.09 | 3.38 | 0.88 | SPARKS-K | NIQEGLAPKPPPPIKDNQFQCDDLIIRPLESQGIERLHPMQFDHKKELRKLNMSILINFLDLLDILIREKLEDLKLLFVHVHHLINEYRPHQARETLRVMMEVQKRQRLETAERFQKHLERVIEMIQNC------------- | |||||||||||||
| 7 | 3mk4A | 0.17 | 0.08 | 2.77 | 0.54 | CNFpred | -----------------------------------------MTVLSMLPTLREALMQQLSESLTALLKLEIWEDLKIISFTRSTVAVYSTCMLVVLLRVQLNIIGGYIYL-------------------------------- | |||||||||||||
| 8 | 6z9lA | 0.07 | 0.06 | 2.56 | 1.00 | DEthreader | ---------QT-AKVLKEKQEAQKEENTLNSLKEVLDLAKENLNQKQVALKTSTRSL-SRLENAQPTYEKALNELNKAEAAVVQAQEAYENSMKSLEELKEQQAVATLAYAQAQEDLSNAKLELQQYGVLRD---------- | |||||||||||||
| 9 | 7aocA2 | 0.08 | 0.08 | 3.09 | 0.68 | MapAlign | GSVLFDDGELLCGILDKSSFGASAFGLVHSVHELYGPDIAGRLLSVLSRLFTAYLDEQGDNWRRQLLENGKSFGLEAASEYVIALLNANLEEVYEKLQGLDAAMKGKMNGLTSSIINKCIPDGLLTKFPYNHMQTMTVSGAK | |||||||||||||
| 10 | 6d26A | 0.12 | 0.11 | 4.01 | 0.56 | MUSTER | LRLQHRADLGLQHRNIFEMLRIDEGGGSGGDEAEKLFNQD--VDAAVRGILRNAKLKPVYDSLDAVRRAALINMVFQMGETGVAGFTNSLRMLQQKRWDEAAVNLAKSRWYNQTPNRAKRVI--TTFRTGTWDAYRRRPGRF | |||||||||||||
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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. |