| >O43414 (140 residues) MATASPAADGGRGRPWEGGLVSWPPAPPLTLPWTWMGPSWGQHPGHWGFPALTEPSASPA AGLGIFEVRRVLDASGCSMLAPLQTGAARFSSYLLSRARKVLGSHLFSPCGVPEFCSIST RKLAAHGFGASMAAMVSFPP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MATASPAADGGRGRPWEGGLVSWPPAPPLTLPWTWMGPSWGQHPGHWGFPALTEPSASPAAGLGIFEVRRVLDASGCSMLAPLQTGAARFSSYLLSRARKVLGSHLFSPCGVPEFCSISTRKLAAHGFGASMAAMVSFPP |
| Prediction | CCCCCCCCCCCCCCCCCCCSCCCCCCCCCCCCCSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCCSSSHHHCCCCCCCHHHHHHHHHCCCCCCCCCCCCCCCCCHHHHHHHHCCCCCHHHHCCCCCC |
| Confidence | 98667665688887666760137999985576301478767899867887667866452347761566442266576021112137433766788898750342124744554445323444553244501210146899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MATASPAADGGRGRPWEGGLVSWPPAPPLTLPWTWMGPSWGQHPGHWGFPALTEPSASPAAGLGIFEVRRVLDASGCSMLAPLQTGAARFSSYLLSRARKVLGSHLFSPCGVPEFCSISTRKLAAHGFGASMAAMVSFPP |
| Prediction | 75444443644544415322261443342313121313423633342113214444333333223231441353540212111423344134411540363244321332214522421444133432333133336258 |
| 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 | CCCCCCCCCCCCCCCCCCCSCCCCCCCCCCCCCSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCCSSSHHHCCCCCCCHHHHHHHHHCCCCCCCCCCCCCCCCCHHHHHHHHCCCCCHHHHCCCCCC MATASPAADGGRGRPWEGGLVSWPPAPPLTLPWTWMGPSWGQHPGHWGFPALTEPSASPAAGLGIFEVRRVLDASGCSMLAPLQTGAARFSSYLLSRARKVLGSHLFSPCGVPEFCSISTRKLAAHGFGASMAAMVSFPP | |||||||||||||||||||
| 1 | 3w40A | 0.07 | 0.05 | 2.05 | 0.61 | CEthreader | ---------------------------------------MIQVEENEHIQTLVYQLNKEGKSICGDSFFMKADDKELICAVADGLGSGSLANESSAAIKDLVENYASED---VESIIERCNQAMKNKRGATASILKINFE | |||||||||||||
| 2 | 6o4nA | 0.09 | 0.09 | 3.31 | 0.52 | EigenThreader | IKEALELRDKDPKRYQGKGVPNKEKLGANAILGVSLALAKAAANTLQRPLYRYLGGSFSHVLPCPMMNLINGNGLQFQEFMIRPISALKEAVRMGAEVFNALKKILQATGVGDEGGFAPTAIETAPREDISLALDCAASS | |||||||||||||
| 3 | 6npsA5 | 0.14 | 0.11 | 3.89 | 0.32 | FFAS-3D | ---------------FYGDE-NTPGLINSEELEMLCDDNHGNHFDYHGGPVSYEWINSSYLPKIWEQMTMAYDF-GVRDLWIVNVGDIATQELPLSFFLDLAYDFDKWGTNAINKTDDYTKQWIEQQFAG---------- | |||||||||||||
| 4 | 5lj3W | 0.08 | 0.08 | 3.06 | 0.77 | SPARKS-K | MKFTPAPQYYVDHFNGKYNVDKCVILRDLQLEKHLTHILDLTNNDLIMIPDLSRRDDIHTLLLGRNNIVEVDGRLLPMNVQNLTLSNNSIRRFEDLQRLRRAPRTL-------KNLTLIGNQVCHLA-NYREHVLRLVPH | |||||||||||||
| 5 | 4yxpA | 0.20 | 0.09 | 2.75 | 0.42 | CNFpred | -------------------------------------------------------------------------------QDPIIGTTAAVLDNLATRLRPFLQCYLKGLCGLDELCSRRRLADIKDIASFVFVILARLAN | |||||||||||||
| 6 | 3x17B | 0.05 | 0.04 | 2.00 | 0.83 | DEthreader | QIAVLAG-EDLVSGDT---PRSPEFAIVYRLQLLK---TAKAA-PYDWVNPAAYFVLVQILEGARV------FHWGSNEAKGMFAHHLPRYERAALAQLDYVGVNLAKSGLGSNPPGL--LV--GGPPY---YNAPLVF- | |||||||||||||
| 7 | 4k3cA | 0.04 | 0.04 | 1.94 | 0.92 | MapAlign | --FPINPQNSHYDRIQSADFDLSFGWNYNNLNRGYFPTAGSSANISGKLTLPGSDNKYYQVGTNFSGYIPLNSEHKWVIATKGGLAYTNSGGKEVPFYQLYSAGGMGSLRGFAGGSIGPQDVIGGNAMVNASLELIIP-- | |||||||||||||
| 8 | 4h35A | 0.13 | 0.13 | 4.46 | 0.47 | MUSTER | AVQYRPAPDSYLNPCPQAGKETY-TGINGTKSNVYLPYGYKKYN-HGGGENENTIFSNDVKLQNILDHAINGELEPLIVVTPTFNGAQNFYQEFRQNVIPFVESKYTYAESTTPQGIAASRHRGFGGFGGLTTWYVNCLD | |||||||||||||
| 9 | 2pffB | 0.20 | 0.19 | 6.18 | 0.69 | HHsearch | FTQGLNILENPSNTPDKDYLLSIPISCPLIGTPGELRSYLKGATGHSVRKAITVLFPSPMLSISNLTQEQVPAGKEISLVNGAVSGPPQSLYGLNLTLRKAKAPSG----LDQSRIPFSERKLKFSNRFASVKNNVSFNT | |||||||||||||
| 10 | 3zt9A | 0.08 | 0.05 | 2.01 | 0.56 | CEthreader | ----------------------------------------------EKLEVGIYTRAREGEIACGDACLVKRVEGVIFLAVGDGIGHGPEAARAAEIAIASMESSMNTG--LVNIFQLCHRELRGTRGAVAALCRVDRRQ | |||||||||||||
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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. |