| >Q5SRR4 (150 residues) MRFMAGPAGSQSLGPLCFHSSPQALYTVLLIVLVMMSLVFGKFVPVNWEPPQPLPFPKYL RCYRCLLETKELGCLLGSDICLTPAGSSCITLHKKNSSGSDVMVSDCRSKEQMSDCSNTR TSPVSGFWIFSQYCFLDFCNDPQNRGLYTP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRFMAGPAGSQSLGPLCFHSSPQALYTVLLIVLVMMSLVFGKFVPVNWEPPQPLPFPKYLRCYRCLLETKELGCLLGSDICLTPAGSSCITLHKKNSSGSDVMVSDCRSKEQMSDCSNTRTSPVSGFWIFSQYCFLDFCNDPQNRGLYTP |
| Prediction | CCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHSSSCCCCCCCCCCCCCCCCCHHHHHSSSSSSCCCCCSSSCCCCSSCCCCCCSSSSSSSCCCCSSSSSSCCCCCHHHCCCCCCCCCCCCCSSSSSSSSSCCCCCCCCCCCCCCC |
| Confidence | 963456655667788766774378999999999852113245446777888889962132200000217986615168717558998508999982896069981567621111244554564024266661130301689765763489 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRFMAGPAGSQSLGPLCFHSSPQALYTVLLIVLVMMSLVFGKFVPVNWEPPQPLPFPKYLRCYRCLLETKELGCLLGSDICLTPAGSSCITLHKKNSSGSDVMVSDCRSKEQMSDCSNTRTSPVSGFWIFSQYCFLDFCNDPQNRGLYTP |
| Prediction | 543242443445344343442331011001322332121214244366644442314412301200042661211334531434663310101034644141103305445334505544433222122203102331043365444347 |
| 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 | CCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHSSSCCCCCCCCCCCCCCCCCHHHHHSSSSSSCCCCCSSSCCCCSSCCCCCCSSSSSSSCCCCSSSSSSCCCCCHHHCCCCCCCCCCCCCSSSSSSSSSCCCCCCCCCCCCCCC MRFMAGPAGSQSLGPLCFHSSPQALYTVLLIVLVMMSLVFGKFVPVNWEPPQPLPFPKYLRCYRCLLETKELGCLLGSDICLTPAGSSCITLHKKNSSGSDVMVSDCRSKEQMSDCSNTRTSPVSGFWIFSQYCFLDFCNDPQNRGLYTP | |||||||||||||||||||
| 1 | 1cruB3 | 0.05 | 0.04 | 1.88 | 0.46 | CEthreader | ------------------------------DVPLTPSQFAKAKSENFDKKVILSNLVAPSSAYVYKGGKKAITGWENTLLVPSLKRGVIFRIKLDPTYSTTYDDAVPMFKSNNRYRDVIASPDGNVLYVLTDTAGNVQKDDGSVTNTLEN | |||||||||||||
| 2 | 5hamA | 0.04 | 0.03 | 1.80 | 0.57 | EigenThreader | KIANLIPDKEERALMLGDAKKREEILKLEKLKNDLLRGGEAQQQI-------NEDILNRATKDIKDN--------GKEAAVIPGYGHWTVLVAKYDKKDNQITFNDSLDQSACGVFTVDNGIKIAKGQAILSLREHHAQILTDAMFKQDA | |||||||||||||
| 3 | 6gbiA | 0.22 | 0.13 | 4.21 | 0.48 | FFAS-3D | --------------------------------------------------------ETGFKCFTCEKAADNYECNRWAPYC-PRETRYCYTQHTMEVTGNSISVKRCVPLEECLS-TGCRDSEHEGHKVCTSCCEGNICNLPRNETDAT- | |||||||||||||
| 4 | 1ploA | 0.15 | 0.10 | 3.35 | 0.85 | SPARKS-K | --------------------------------------------VTDNAGAVK----FPQLCKFC--DVRFSTC-DNQKSCMSKPQEVCVAVWRKNDENITLETVCHDPKLPYPKCIMKEKKKPGETFFMC-SCSSDECNDSEEYNTSNP | |||||||||||||
| 5 | 3bt1U | 0.19 | 0.11 | 3.45 | 0.68 | CNFpred | ----------------------------------------------------------YLECISCGSSD--MSCERGRHQSLQC-EEQCLDVVTHW-PKDDRHLRGCGYLP---GCPGSNGFHNNDTFHFLKCCNTTKCNEGPILELENL | |||||||||||||
| 6 | 5y6qC | 0.06 | 0.05 | 2.07 | 0.83 | DEthreader | AQSTY--IIHNQNIGYTHVATF-GLGGRGWMPGENPSAFGLEVMDELALIPLRLKEAYQKGA----------------EAFGWDKRIMWGMASGTYPVHSWSAQFVE----VRVRVKRMMIGGIVVAAAISNAVFHATGK-----PITLD | |||||||||||||
| 7 | 6h3iF | 0.08 | 0.07 | 2.95 | 0.87 | MapAlign | ---QGVATSSDVFSQQWNPAKYAFAEDAQGLSISYTPYLTDISLGQVTYYNKINDRSAFAGSFRYFGFREVNPNEFALDGSYSLKTFSMAVAARIRAGSFAVDVAGFYQSGRWRAGFNIQNLGNFLPANLRVGGGFDFIFDDYNKLGV-- | |||||||||||||
| 8 | 3bt1U | 0.13 | 0.13 | 4.36 | 0.64 | MUSTER | VRLWEEGEELELVTHSEKTNRTLSYRTGLKITSLTEVVCGLDL---QGNSGVTYSRSRYLECISCG--SSDMSCERGRHQCR-SPEEQCLDVVTHWIQEDDRHLRGCGYLPG---CPGSNGFHNNDTFHFLKCCNTTKCNEGPILENLPQ | |||||||||||||
| 9 | 3laqV3 | 0.19 | 0.11 | 3.45 | 1.21 | HHsearch | ------------------------------------------------DLQ--SFPPNGFQCYSCEGN-NTLGCSSSLINCRG-PMNQCLVATGLDV--RSYTVRGCATAS---WCQGSHVADSTHLNVSVSCCHGSGCNSPT------- | |||||||||||||
| 10 | 3jyvE | 0.08 | 0.05 | 2.09 | 0.44 | CEthreader | -----------------------------------------------------GLQDEVMNIKPVQKQTRAGQRTRFKAVVVVGDSNGHVGLGIKTAKEVLSVIPIRRGLGQPHSLATKTTGKCGSVTVRLIPAPRGSVASPAVKKLLQL | |||||||||||||
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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. |