| >Q9C0D7 (142 residues) MPGGGSQEYGVLCIQEYRKNSKVESSTRNNFMGLKDHLGHDLGHLYVESTDPQLSPAVPW STVENPSMDTVNVGKDEKEASEENASSGDSEENTNSDHESEQLGSISVEPGLITKTHRQL CRSPCLEPHILKRNEILQDFKP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPGGGSQEYGVLCIQEYRKNSKVESSTRNNFMGLKDHLGHDLGHLYVESTDPQLSPAVPWSTVENPSMDTVNVGKDEKEASEENASSGDSEENTNSDHESEQLGSISVEPGLITKTHRQLCRSPCLEPHILKRNEILQDFKP |
| Prediction | CCCCCCCCSSSSSHHHHHHCCCCCCCCHHHHCCHHHHHCCCCCCSSSCCCCCCSSSCCCCCCCCCCCCCCCCCHHHHHHCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCCCCCCCHHHCCCCCCCCCCCCHHHHHHCCCC |
| Confidence | 9988876301544134553132221100101024655355433135336887221104611125665432231133431022455556676778887761665234456776788602230365578543430133303799 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPGGGSQEYGVLCIQEYRKNSKVESSTRNNFMGLKDHLGHDLGHLYVESTDPQLSPAVPWSTVENPSMDTVNVGKDEKEASEENASSGDSEENTNSDHESEQLGSISVEPGLITKTHRQLCRSPCLEPHILKRNEILQDFKP |
| Prediction | 7556445421101044136555246533531221443244411302143444404122314215415165454655555467455454446644557644643543444441456433520433225443154443265358 |
| 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 | CCCCCCCCSSSSSHHHHHHCCCCCCCCHHHHCCHHHHHCCCCCCSSSCCCCCCSSSCCCCCCCCCCCCCCCCCHHHHHHCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCCCCCCCHHHCCCCCCCCCCCCHHHHHHCCCC MPGGGSQEYGVLCIQEYRKNSKVESSTRNNFMGLKDHLGHDLGHLYVESTDPQLSPAVPWSTVENPSMDTVNVGKDEKEASEENASSGDSEENTNSDHESEQLGSISVEPGLITKTHRQLCRSPCLEPHILKRNEILQDFKP | |||||||||||||||||||
| 1 | 6evuA | 0.10 | 0.10 | 3.63 | 0.46 | CEthreader | ATGNFQNSFVKEANLGSNGGYAVLLEKNKPVYELQSSPSQSGTLNAVFSNDPIITAFIGTNRVNGKDVKT----RLTIKFFDASGKEVLPDKDSPFAYALSSLNSSLTNKGGHAEFVSDFGANNAFKYINGSYVKKQADGKF | |||||||||||||
| 2 | 5b4sA | 0.06 | 0.06 | 2.71 | 0.52 | EigenThreader | NYQEVGPWRYCEVDYEAAQDYRGGVTTVGDFPDYFKKAFAPYVLALDPYPSKSRSDKNKRAALTKICGALQSAFDTQSSVKSAGNCGSLSAETCFATYLTDQYIRWLKSSSLGRASALDIYKKDPTGSVSVVNQVINASYPG | |||||||||||||
| 3 | 2cseW | 0.21 | 0.19 | 6.02 | 0.28 | FFAS-3D | -PGTSNREYGIASVQ--RATESAELPMKNNDEGTPDKKGNTRGDLHSEAKD------EADEATQKQAKDTDKSKAQVTYSDTGINNANELSRSGNVDNEPMSTRIAEATSAIVSKHPAYQCHV-CSAV--LFSPLDLD---- | |||||||||||||
| 4 | 6ybt2 | 0.07 | 0.07 | 2.89 | 0.79 | SPARKS-K | CGFDFGGNIIMFSVSFFDLRDPSQIDNNEPYMKIPCN-DSKITSAVWGPLGECIIAGHESGELNQYSAKSGEVLVNVKEHSRQINDIQLSRDMTASKDNTAKLSTTLEHQKTFRTERPVNSAALSPNYDHVVLGGGQEAMDV | |||||||||||||
| 5 | 5mz4A | 0.17 | 0.06 | 1.85 | 0.59 | CNFpred | KLRAAMVEYSFIFLDEYHCA----TPEQLAIMGKIHRFSENLRVVAMTAT-------------------------------------------------------------------------------------------- | |||||||||||||
| 6 | 6wm2R | 0.06 | 0.05 | 2.15 | 0.83 | DEthreader | ----------E--LFRS-E-EMCPVTDLDSIFALRRG-PSILNR-PPTYNEINPAPYTIITFPFAVFSMYGLDSLPWNKFLFKMKSV-L--IN-F-VVALLCVPWMFKLVLMQATIEYCLGCITASYLHVEFQ-NKFYS--- | |||||||||||||
| 7 | 6n8pA2 | 0.07 | 0.06 | 2.68 | 0.68 | MapAlign | -----LMHRAPVVGILVLDGHSVPLPEPLEVAHDLSKSPDMQGSHQLLVVSEEQFKVFTLPKVSAKLKLKLTALEGSRVRRVSVAHFGYGEHHLAVLTNLGDIQVVSLPLLKPQVRYSCIVFTKYGQGFYLISPSEFERFSL | |||||||||||||
| 8 | 1zvoC | 0.14 | 0.13 | 4.58 | 0.75 | MUSTER | YMGTQSQP-----QRTFPEIQRRDSYYMTSSQLSTPLQQWRQGEYKVQHTAKSKKEIFRWPESPKAQASSVPTAQPQAEGSLAKATTAPATTRNTGRGGEEKKKEKEKEEQEERETKTPECPSHTQPLGVYLLTPAVQDLWL | |||||||||||||
| 9 | 3am2A2 | 0.23 | 0.11 | 3.32 | 0.45 | HHsearch | WTTATGQKYRILASNNFNNLVKLEQSLGD---GVKDHYVDSLDYVLVMKANSSYSGNYPYSILFQKFLE------------------------------------------------------------------------- | |||||||||||||
| 10 | 6n8pA2 | 0.04 | 0.04 | 2.14 | 0.44 | CEthreader | KEIQLMHRAPVVGILVLDGHSVPLPEPLEVAHDLSKSPDMQGSHQLLVVSEEQFKVFTLPKVSAKLKLKLTALEGSRVRRVSVAHFGYGEHHLAVLTNLGDIQVVSLPLLKPQVRYSCIRREDVSGIASCVFTKYGQGFYLI | |||||||||||||
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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. |