| >Q14680 (148 residues) RSVELDLNQAHMEETPKRKGAKVFGSLERGLDKVITVLTRSKRKGSARDGPRRLKLHYNV TTTRLVNPDQLLNEIMSILPKKHVDFVQKGYTLKCQTQSDFGKVTMQFELEVCQLQKPDV VGIRRQRLKGDAWVYKRLVEDILSSCKV |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | RSVELDLNQAHMEETPKRKGAKVFGSLERGLDKVITVLTRSKRKGSARDGPRRLKLHYNVTTTRLVNPDQLLNEIMSILPKKHVDFVQKGYTLKCQTQSDFGKVTMQFELEVCQLQKPDVVGIRRQRLKGDAWVYKRLVEDILSSCKV |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSCCCSCCCCCCCCCHHHHHHHHHHHHHHHCCCSSSCCSSSSSSSCCCCCCCSSSSSSSSSSCCCCCCSSSSSSSSCCCHHHHHHHHHHHHHHHCC |
| Confidence | 9976445678888899877774312221244421124678777889877882010010222146899999999999999980993585155899983388898428999999980698605788877328789999999999998359 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | RSVELDLNQAHMEETPKRKGAKVFGSLERGLDKVITVLTRSKRKGSARDGPRRLKLHYNVTTTRLVNPDQLLNEIMSILPKKHVDFVQKGYTLKCQTQSDFGKVTMQFELEVCQLQKPDVVGIRRQRLKGDAWVYKRLVEDILSSCKV |
| Prediction | 8446453754535744556344313324542543354034546787557424423132314213444174015203610674615154541102033446565430301010140453503001223143324303500540274178 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSCCCSCCCCCCCCCHHHHHHHHHHHHHHHCCCSSSCCSSSSSSSCCCCCCCSSSSSSSSSSCCCCCCSSSSSSSSCCCHHHHHHHHHHHHHHHCC RSVELDLNQAHMEETPKRKGAKVFGSLERGLDKVITVLTRSKRKGSARDGPRRLKLHYNVTTTRLVNPDQLLNEIMSILPKKHVDFVQKGYTLKCQTQSDFGKVTMQFELEVCQLQKPDVVGIRRQRLKGDAWVYKRLVEDILSSCKV | |||||||||||||||||||
| 1 | 6c9dA | 0.23 | 0.16 | 5.09 | 1.00 | DEthreader | ------------------------------DGDM---------P-FEG-PRSLRF-TWSMKTTSSMDPNDMMREIRKVLDANNCDYEQKEFLLFCVHGDARQDSLVQWEMEVCSLPSLSLNGVRFKRISGTSIAFKNIASKIANELKL | |||||||||||||
| 2 | 6c9dA2 | 0.27 | 0.18 | 5.59 | 2.10 | SPARKS-K | -------------------------------------------------KPRSLRFTWSMKTTSSMDPNDMMREIRKVLDANNCDYEQKEFLLFCVHGDARQDSLVQWEMEVCSLPSLSLNGVRFKRISGTSIAFKNIASKIANELKL | |||||||||||||
| 3 | 6c9dA | 0.19 | 0.18 | 5.90 | 1.11 | MapAlign | ----TKRIDIMVTMGFARDEINDALINQKYDEVMATYILLGRKPPEFEGKPRSLRFTWSMKTTSSMDPNDMMREIRKVLDANNCDYEKERFLLFCVHGDARQDSLVQWEMEVCSLPSLSLNGVRFKRISGTSIAFKNIASKIANELKL | |||||||||||||
| 4 | 6c9dA | 0.20 | 0.20 | 6.29 | 1.02 | CEthreader | DFNDTKRIDIMVTMGFARDEINDALINQKYDEVMATYILLGRKPPEFEGKPRSLRFTWSMKTTSSMDPNDMMREIRKVLDANNCDYEQKEFLLFCVHGDARQDSLVQWEMEVCSLPSLSLNGVRFKRISGTSIAFKNIASKIANELKL | |||||||||||||
| 5 | 6c9dA2 | 0.27 | 0.18 | 5.59 | 1.74 | MUSTER | -------------------------------------------------KPRSLRFTWSMKTTSSMDPNDMMREIRKVLDANNCDYEQKEFLLFCVHGDARQDSLVQWEMEVCSLPSLSLNGVRFKRISGTSIAFKNIASKIANELKL | |||||||||||||
| 6 | 6c9dA2 | 0.27 | 0.18 | 5.59 | 3.50 | HHsearch | -------------------------------------------------KPRSLRFTWSMKTTSSMDPNDMMREIRKVLDANNCDYEQKRFLLFCVHGDARQDSLVQWEMEVCSLPSLSLNGVRFKRISGTSIAFKNIASKIANELKL | |||||||||||||
| 7 | 6c9dA2 | 0.27 | 0.18 | 5.59 | 1.78 | FFAS-3D | -------------------------------------------------KPRSLRFTWSMKTTSSMDPNDMMREIRKVLDANNCDYEQKRFLLFCVHGDARQDSLVQWEMEVCSLPSLSLNGVRFKRISGTSIAFKNIASKIANELKL | |||||||||||||
| 8 | 6c9dA | 0.15 | 0.15 | 5.00 | 1.03 | EigenThreader | PPYAAPELFQGKKYDGFDGQNLKELRERVLRGLEQIMKDRWMNVGHEEEELKPYTESLSMKTTSSMDPNDMMREIRKVLDANNCDYEQKERFLLFCVHGDDSLVQWEMEVCSL--PSLSLNGVRFKRISGTSIAFKNIASKIANELKL | |||||||||||||
| 9 | 3oseA | 0.27 | 0.18 | 5.59 | 1.47 | CNFpred | -------------------------------------------------KPRSLRFTWSMKTTSSMDPNDMMREIRKVLDANNCDYEQKRFLLFCVHGDARQDSLVQWEMEVCKLPRLSLNGVRFKRISGTSIAFKNIASKIANELKL | |||||||||||||
| 10 | 2ehbD | 0.09 | 0.06 | 2.30 | 1.00 | DEthreader | --------------------------AFEMIT-LS----------------------RQTRFVSRREPSEIIANIEAVANSMGFKSHTRNFKTRLEGLSS-IKAQLAVVIEIYEV-APSLFMVDVRKAAGETLEYHKFYKKLCSKLEN | |||||||||||||
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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. |