| >Q96NJ1 (140 residues) MRRERPELRDAEGRLRLRAGCLVTAWPRAPSGAGSWSMAAASPWPASWGFPDASSTVPSL CTEARAGRGGPATARSRVSADSQGGRAGSSSPSSALRLCCAGPSQAHPGPSPAVLPGRCG LLGSFPRPPAPQGRWGPSLG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRRERPELRDAEGRLRLRAGCLVTAWPRAPSGAGSWSMAAASPWPASWGFPDASSTVPSLCTEARAGRGGPATARSRVSADSQGGRAGSSSPSSALRLCCAGPSQAHPGPSPAVLPGRCGLLGSFPRPPAPQGRWGPSLG |
| Prediction | CCCCCCCCCCCCCCSSSSCCCSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 96324001033341455325056634678888864100016888755689886666412334432378997531111123556775678893266644416877679999974356653223568999998887788889 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRRERPELRDAEGRLRLRAGCLVTAWPRAPSGAGSWSMAAASPWPASWGFPDASSTVPSLCTEARAGRGGPATARSRVSADSQGGRAGSSSPSSALRLCCAGPSQAHPGPSPAVLPGRCGLLGSFPRPPAPQGRWGPSLG |
| Prediction | 86564562553634131312010222342463334133333442334232442443134114514446433443454243445435444642430030002236644444422313231222242453434635235748 |
| 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 | CCCCCCCCCCCCCCSSSSCCCSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC MRRERPELRDAEGRLRLRAGCLVTAWPRAPSGAGSWSMAAASPWPASWGFPDASSTVPSLCTEARAGRGGPATARSRVSADSQGGRAGSSSPSSALRLCCAGPSQAHPGPSPAVLPGRCGLLGSFPRPPAPQGRWGPSLG | |||||||||||||||||||
| 1 | 1oh2Q | 0.14 | 0.14 | 4.66 | 0.56 | CEthreader | RKDSNGNLAKGDAANTGVHALLGLHNDSFYGLRDGSSKTALLYGHGLGAEVKGIGSDGALRPGARYADGDSYQWATFNLRLIQAFALAYEGSYQYMDLKPEGYNDRQAVNGPTFKVGSIGDFFSRPRFYTSWMDWSKKLN | |||||||||||||
| 2 | 1vw4Q | 0.12 | 0.10 | 3.52 | 0.57 | EigenThreader | GSRVMKRLGNRKKEWKFIPGDRVVVMSGA------SKGNIAVIKSFDKRTN-------------------SFILDENGPVPKQFWLEGQTSVSILKDLRLVATVAVRDVSFNGDAYKKVMPYWPKPDPIDVQTNLATDPV | |||||||||||||
| 3 | 3g4sW | 0.14 | 0.13 | 4.41 | 0.40 | FFAS-3D | EVNMHTDIQDTLEMLNIHHVNHCTLVPETDAYRG--MVAKVNDF-VAFGEPSQ-ETLETVLAT----RAEPLEGDADVDDEWVAEHTDYDDISGLAFALLSEETTLREQGPTLRLHPPRGGHDGVKHPVKEGGQLGKHDT | |||||||||||||
| 4 | 7jjvA | 0.25 | 0.20 | 6.21 | 0.83 | SPARKS-K | ----------------MQCDGLDGADGTSNGQAGASGLAGGPNCNGGKGAPGVGTA-------GGAGGVGGAGGTGN-TNGGAGG-SGGNSDVAAGGAGAAGGAAGGAGTGGTGGNGGAGKPGGAPGAGGPAGSAG-SPG | |||||||||||||
| 5 | 5vkqA | 0.34 | 0.10 | 2.99 | 0.44 | CNFpred | -------------------------------------------------------TVRELLTSV------PATVKSETPGQSLFGDLGTESGMTPLHLAAFS-------------------------------------- | |||||||||||||
| 6 | 6ebnA | 0.10 | 0.08 | 2.91 | 0.83 | DEthreader | GLYGNLLGQAMFTCRRAHAMST-----------------SFTVTPPILLGSDLNINVF-NIFFSVPLETPF-FLSSTLAVKMGLVG-DQDV--IVLRN--------SPFTTFVGLATQKIVEEEVEYARNTIHMTVPNQP | |||||||||||||
| 7 | 1q1cA | 0.05 | 0.04 | 1.99 | 0.68 | MapAlign | ------------MPMIGDRVFVHYTGWLL---DGTKFDSSLKFSFDLGKG-----EVIKAWDIAIATMKVGEVCHITCYGSAGSPPKIPPNATLVFEVELFEFKGEDLTEEEDGGIIRRIQTRGEGYAKPNEGAIV---- | |||||||||||||
| 8 | 1jvrA | 0.18 | 0.16 | 5.33 | 0.66 | MUSTER | ----------HMGQIHGLSP---TPIPKAPRGLSHWLNAAYRLQPGPSDFD--FQQLRRFLKLALKTPIWLNPIDYSLSLIPKGYPGRVVEIINILVKNQVSPSAPAAPVPTPICPTTTPPPPPPPSPEAPPPYVEPTTT | |||||||||||||
| 9 | 1b82A | 0.18 | 0.14 | 4.41 | 0.48 | HHsearch | LFHGGQCGAEAHESIRLVFH-----------DSIAISPAMETAFHPNIGLDEIVKLQKPFVQKH------------GVTPDFI-AF----AGAVALSNCP-------GAPQMNFFTGRAPATQPAPDTPGLRGTAFPGPG | |||||||||||||
| 10 | 5uj6A3 | 0.07 | 0.05 | 2.04 | 0.51 | CEthreader | EQATLSIRGEVKNDAPEKATLELTHTIYRPDGTLLQTLKKNIQLKAGETY-------------------AFSNEATPVLKPELWTPETPRLYRVETTLRNRKTKTLL-----DQSNHYTAF------------------- | |||||||||||||
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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. |