| >Q8TEV8 (140 residues) MRRCLRVKTRRGQLGLASSCFEQHSCFSPRVNRILSAVQNTLCTGPSSQAPPQPPQASPP AAADHSRTPSLLASSHSASGGESLFQLYIASLAWPQNCCVLESCRRIPLGGLSSMENRRP LLRKGRLLRGQIHHSQTNEL |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRRCLRVKTRRGQLGLASSCFEQHSCFSPRVNRILSAVQNTLCTGPSSQAPPQPPQASPPAAADHSRTPSLLASSHSASGGESLFQLYIASLAWPQNCCVLESCRRIPLGGLSSMENRRPLLRKGRLLRGQIHHSQTNEL |
| Prediction | CCCCSSSSCCCCCCCCCCCHHHCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCHHHHHHHHHHHCCCCCCSSHHHHCCCCCCCCCCCCCCCHHHHHCCCCCSSSCCCCCCCC |
| Confidence | 97322221123421233111111466882788999997557888987779999999999998777888024321467764167999999873366543102431335666633100122566533311002114666779 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRRCLRVKTRRGQLGLASSCFEQHSCFSPRVNRILSAVQNTLCTGPSSQAPPQPPQASPPAAADHSRTPSLLASSHSASGGESLFQLYIASLAWPQNCCVLESCRRIPLGGLSSMENRRPLLRKGRLLRGQIHHSQTNEL |
| Prediction | 75413423355442222331155341234404401520452314246673456447464543464643342124434363243003111231323430110430451313315427534412441431433044466666 |
| 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 | CCCCSSSSCCCCCCCCCCCHHHCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCHHHHHHHHHHHCCCCCCSSHHHHCCCCCCCCCCCCCCCHHHHHCCCCCSSSCCCCCCCC MRRCLRVKTRRGQLGLASSCFEQHSCFSPRVNRILSAVQNTLCTGPSSQAPPQPPQASPPAAADHSRTPSLLASSHSASGGESLFQLYIASLAWPQNCCVLESCRRIPLGGLSSMENRRPLLRKGRLLRGQIHHSQTNEL | |||||||||||||||||||
| 1 | 3dbaA | 0.06 | 0.06 | 2.49 | 0.51 | CEthreader | AADRCSMFICRSRNGIPEVATRLLNVTPTSKFEDNLVNPDKETVFPLDIGIAGWVAHTFFNIPDVKKNNHFSDYLDKKTGYTTVNMMAIPITQGKEVLAVVMALNKLNASEFSKED-EEVFKKYLNFISLVLR------- | |||||||||||||
| 2 | 5fsrA | 0.04 | 0.04 | 1.86 | 0.58 | EigenThreader | IHAGSWVLMDYTTG--QILTAGNEQRNPASLTKLMTGYVVDRAIDSHRITPDDAGGQRQFVEMMNNYAEKLHLKTVHGQHSSAYDLAVLSRAIIHRRLIAVVMGADS----------AKGREEEARKLLRWGQQNF---T | |||||||||||||
| 3 | 5jpqj1 | 0.14 | 0.11 | 3.68 | 0.33 | FFAS-3D | ------LWAYDKILGNTYGMLQDFEAITP---NILARTIETVEGG-GLVVLLLKGMTSLKQLYTMTMDVHARYRTEAHDDVIARFNERFLLLGSCESCLVIDDLNVLPISGGKGVKPLPP-------------------- | |||||||||||||
| 4 | 6ahfC1 | 0.11 | 0.11 | 3.84 | 0.83 | SPARKS-K | ALTILTLAQKHPQLQPIAAFIETPEDLIEKGRYDYDLFKKVVNRNLVRIPQQQPAPAEITPSYALGKVLQDAAKIQKQQKDSFIAQDHILFALFND-----SSIQQIFKEAQVDIEAIKQQALELR--GNTRIDSRGADT | |||||||||||||
| 5 | 1buyA | 0.19 | 0.09 | 3.00 | 0.47 | CNFpred | ------------------------------AVSGLRSLTTLLRALGAQKEAISPPDAASAAPLRTITADTF----------RKLFRVYSNFLRGKLKLYTGEACRTGDR------------------------------- | |||||||||||||
| 6 | 6ovbA | 0.07 | 0.06 | 2.63 | 0.83 | DEthreader | ---GNTADLGIFGLLIWFIQWDIFLAQIEIVALLSVYVQAANLSIRYLTIHVYTNHCVD-TYN-Q--GLRL-VYNRFR----RQLTIVLDIVAFFNYT-LEVYLDRTLFYKSGPIDSFSLPPSPGYS--HRLCHATFVFS | |||||||||||||
| 7 | 1vt4I3 | 0.06 | 0.06 | 2.73 | 0.74 | MapAlign | -GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG | |||||||||||||
| 8 | 3ihbA2 | 0.17 | 0.16 | 5.14 | 0.44 | MUSTER | GGTAVRFVEREGDLHLQGV-------RFGGAEAVLDALTDLR-TGAEKPGTGWDAAVYPRWQEAAADRAALSAATGGGAVHEAAAAAARDENDGPIRTVVL-NLARVD---IDDV--RRLIAEGVRRLQADEDPERILPL | |||||||||||||
| 9 | 2pffB | 0.15 | 0.14 | 4.84 | 0.44 | HHsearch | LRSYLKGATGHSQGLVTAVAIAETDSWESFFVSVRKALFFIGCYEYPNTSLPPSIEGVPSPMLSISNLTQEVTNSHLVSGPQSLYGLNL---TLRKAKAPGLDQSRIPFSEASPFHSHLLVPASDLINKDLVKNNVSFNA | |||||||||||||
| 10 | 4dj2A1 | 0.12 | 0.09 | 3.06 | 0.49 | CEthreader | RNQDTFSVAVSFLTGRIVYISEQAGVLLRCKRDVFRGARFSELLAPQDVGVFYGSTTPSRLPTWGTE---KSVFCRIRGGRYQPFRLTPYVTKIAQPCCLLIAERIH--------------------------------- | |||||||||||||
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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. |