| >Q9HCK0 (144 residues) MSERSDLLHFKFENYGDSMLQKMNKLREENKFCDVTVLIDDIEVQGHKIVFAAGSPFLRD QFLLNDSREVKISILQSSEVGRQLLLSCYSGVLEFPEMELVNYLTAASFLQMSHIVERCT QALWKFIKPKQPMDSKEGCEPQSA |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSERSDLLHFKFENYGDSMLQKMNKLREENKFCDVTVLIDDIEVQGHKIVFAAGSPFLRDQFLLNDSREVKISILQSSEVGRQLLLSCYSGVLEFPEMELVNYLTAASFLQMSHIVERCTQALWKFIKPKQPMDSKEGCEPQSA |
| Prediction | CCCCCCCSSSSCCHHHHHHHHHHHHHHHHCCCSSSSSSSCCSSSSSHHHHHHHCCHHHHHHHCCCCCCCCSSSSCCCHHHHHHHHHHHSCCSSSSCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHCC |
| Confidence | 999898247855708999999999999609852499999999997444447672489999962686665379730576999999997611258857779999999987748889999999999961892114648876512139 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSERSDLLHFKFENYGDSMLQKMNKLREENKFCDVTVLIDDIEVQGHKIVFAAGSPFLRDQFLLNDSREVKISILQSSEVGRQLLLSCYSGVLEFPEMELVNYLTAASFLQMSHIVERCTQALWKFIKPKQPMDSKEGCEPQSA |
| Prediction | 756575424042661044005204501675300000020575504001000000041333103366465450504423610343354143040404572033014003304055026201510474042720320252056358 |
| 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 | CCCCCCCSSSSCCHHHHHHHHHHHHHHHHCCCSSSSSSSCCSSSSSHHHHHHHCCHHHHHHHCCCCCCCCSSSSCCCHHHHHHHHHHHSCCSSSSCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHCC MSERSDLLHFKFENYGDSMLQKMNKLREENKFCDVTVLIDDIEVQGHKIVFAAGSPFLRDQFLLNDSREVKISILQSSEVGRQLLLSCYSGVLEFPEMELVNYLTAASFLQMSHIVERCTQALWKFIKPKQPMDSKEGCEPQSA | |||||||||||||||||||
| 1 | 6w66C | 0.22 | 0.19 | 5.90 | 1.33 | DEthreader | -----RTFSYTLEDHTKQAAGIMNELRLSQQLCDVTLQVKAAQFMAHKVVLASSSPVFKAMFTNGLREVVSIE-GIHPKVMERLIEFAYTASISMGEKCVLHVMNGAVMYQIDSVVRACADFLVQQ-L---------------- | |||||||||||||
| 2 | 3hqiA2 | 0.19 | 0.19 | 6.03 | 1.81 | SPARKS-K | ---SGQNTMNMVKVPECRLADELGGLWENSRFTDCCLCVAGQEFQAHKAILAARSPVFSAMFE-HKKNRVEINDVE-PEVFKEMMCFIYTGKAPNLDKMADDLLAAADKYALERLKVMCEDALCSNLSVENAAEILILADLHSA | |||||||||||||
| 3 | 6w66C | 0.23 | 0.19 | 5.90 | 1.18 | MapAlign | -----RTFSYTLEDHTKQAAGIMNELRLSQQLCDVTLQVYAAQFMAHKVVLASSSPVFKAMFREQGMEVVSI-EGIHPKVMERLIEFAYTASISMGEKCVLHVMNGAVMYQIDSVVRACADFLVQQ------------------ | |||||||||||||
| 4 | 6w66C | 0.22 | 0.19 | 5.91 | 0.90 | CEthreader | -----RTFSYTLEDHTKQAAGIMNELRLSQQLCDVTLQVKYAQFMAHKVVLASSSPVFKAMFTNGLRGMEVVSIEIHPKVMERLIEFAYTASISMGEKCVLHVMNGAVMYQIDSVVRACADFLVQQL----------------- | |||||||||||||
| 5 | 2z8hA | 0.20 | 0.18 | 5.79 | 1.75 | MUSTER | SVSESAVFAYESSVHSTNVLLSLNDQRKKDVLCDVTVLVEGQRFRAHRSVLAACSSYFHSRIVGQTDAELTVTLPETVKGFEPLIQFAYTAKLILSKDNVDEVCRCVEFLSVHNIEESCFQFLKFKFLDSTS------------ | |||||||||||||
| 6 | 3hqiA | 0.19 | 0.19 | 6.05 | 2.08 | HHsearch | VNISGQNTMNMVKVPECRLADELGGLWENSRFTDCCLCVAGQEFQAHKAILAARSPVFSAMFEH-KKNRVEINDV-EPEVFKEMMCFIYTGKAPNLDKMADDLLAAADKYALERLKVMCEDALCSNLSVENAAEILILADLHSA | |||||||||||||
| 7 | 2z8hA | 0.21 | 0.19 | 6.16 | 2.22 | FFAS-3D | MSSESAVFAYESSVHSTNVLLSLNDQRKKDVLCDVTVLVEGQRFRAHRSVLAACSSYFHSRIVGQTDAELTVTLEVTVKGFEPLIQFAYTAKLILSKDNVDEVCRCVEFLSVHNIEESCFQFLKFKFLDST------------- | |||||||||||||
| 8 | 3hqiA | 0.19 | 0.19 | 6.03 | 1.25 | EigenThreader | DEANGLLVQDSPECR---LADELGGLWENSRFTDCCLCVAGQEFQAHKAILAARSPVFSAMF--EHKKNRVEINDVEPEVFKEMMCFIYTGKAPNLDKMADDLLAAADKYALERLKVMCEDALCSNLSVENAAEILILADLHSA | |||||||||||||
| 9 | 6i2mA | 0.21 | 0.19 | 5.97 | 1.26 | CNFpred | ------------MNNSSELIAVINGFRNSGRFCDISIVINDERINAHKLILSGASEYFSILFSNSNEYEVNLSH-LDYQSVNDLIDYIYGIPLSLTNDNVKYILSTADFLQIGSAITECENYILKNLCSKNCIDFYIYADKYNN | |||||||||||||
| 10 | 4hxiA | 0.24 | 0.22 | 6.69 | 1.33 | DEthreader | --------------HMGKAFKVMNELRSKQLLCDVMIVAEDVEIEAHRVVLAACSPYFCAMFTGSAAAAIEIK-DVDGQTLSKLIDYIYTAEIEVTEENVQVLLPAASLLQLMDVRQNCCDFLQSQLHPTNCLIRADTCTDL-- | |||||||||||||
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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. |