| >Q9ULL8 (143 residues) WGQHRRELFSKRLFRAAQQQKQQQQQQKQQEEEEEEEEEEEEEELPPQYFSSETSGSCAL NPEEVLEQPQPLSFGHLEGSRQGSQSVPAEQESFALHSSDFLPPIRGHLGSQPEQAQPPC YYGIGGLWRTSGQEATESAKQEF |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | WGQHRRELFSKRLFRAAQQQKQQQQQQKQQEEEEEEEEEEEEEELPPQYFSSETSGSCALNPEEVLEQPQPLSFGHLEGSRQGSQSVPAEQESFALHSSDFLPPIRGHLGSQPEQAQPPCYYGIGGLWRTSGQEATESAKQEF |
| Prediction | CCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCCCCCCCCCCCHHHCCCCCSSCCCCCSSCCHHHCCCCCCCCC |
| Confidence | 71468999999999999999999999999999987756666640882111455667777997887417888887731012245777751034432475457775324679983336998411467501133012136875469 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | WGQHRRELFSKRLFRAAQQQKQQQQQQKQQEEEEEEEEEEEEEELPPQYFSSETSGSCALNPEEVLEQPQPLSFGHLEGSRQGSQSVPAEQESFALHSSDFLPPIRGHLGSQPEQAQPPCYYGIGGLWRTSGQEATESAKQEF |
| Prediction | 74644452135301433555555555655556656665666666234521456444544343661264354352542534454455245555423233542142045334544753422022112111334655346545768 |
| 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 | CCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCCCCCCCCCCCHHHCCCCCSSCCCCCSSCCHHHCCCCCCCCC WGQHRRELFSKRLFRAAQQQKQQQQQQKQQEEEEEEEEEEEEEELPPQYFSSETSGSCALNPEEVLEQPQPLSFGHLEGSRQGSQSVPAEQESFALHSSDFLPPIRGHLGSQPEQAQPPCYYGIGGLWRTSGQEATESAKQEF | |||||||||||||||||||
| 1 | 3dm0A | 0.06 | 0.06 | 2.51 | 0.51 | CEthreader | IMPNIPQMSAFWYAVRTAVINAASGRQTVDAALAAAQTNAAAGLVLKGTMRAHTDMVTAIATPIDNADIIVSASRDKSIILWRRLTGHSHFVEDVVLSSDGQFALSGSWDGELRHTKDVLSVAFSLDNRQIVSASRDRTIKLW | |||||||||||||
| 2 | 1nw1A | 0.06 | 0.06 | 2.51 | 0.52 | EigenThreader | GMKELLSELKERAHMLCARFLGGSHLVAESVIFTLLSERHLRLEEYIPLSCHEISLAHMSTKIAKRVAKVHQLSKSCHNDLQEDFEYARAFDFANHFIEWTETLPFVPVSHFFWGVWGLLQVPVGFGFADYGRDRLSLYFKHK | |||||||||||||
| 3 | 7abiK | 0.17 | 0.13 | 4.35 | 0.52 | FFAS-3D | W--KVREL--KRIKRDREDREALEKEKAEIERMRNLTEEEELRANGKVITNKAVKGKYKFL----------QKYYHRGAFFMDEDE--------EVYKRDFSAPTLEDHFNKTIKVMQVKNFGRSGRTKYT------------ | |||||||||||||
| 4 | 4epoG | 0.11 | 0.10 | 3.52 | 1.23 | SPARKS-K | --QEHWALMEELNRSKKDFEAIIQAKNKELEQTKEEKEKMQAQKEEVLSHMNDVLENELQCISEYFIEAVTLNCAHINEWMKRKIECPICRKDILVLDNCINKMVNNLSSEVKER----------------RIVLIRERKAKR | |||||||||||||
| 5 | 2iu1A | 0.18 | 0.05 | 1.59 | 0.33 | CNFpred | VSKELAKEIRVKAEPFIKWL------KEAEEESSGGEEEDEDENI-------------------------------------------------------------------------------------------------- | |||||||||||||
| 6 | 6b43A | 0.06 | 0.05 | 2.11 | 0.83 | DEthreader | -KETPLDFTEYAGAIKTITSALQFGMDALERGLVDTVLAVKLRHAPP-VFIKFKAHLEHSFF-LDKAEL------QYTYF-VVRT-DEVL--AE-H-ILYVIAPYSARLAGAPATSLDQPCHMLEAPM--------------- | |||||||||||||
| 7 | 5wbiA | 0.10 | 0.10 | 3.64 | 0.79 | MapAlign | DGSPLVRAEVAVALARFAFGSQEIAAKREEKEKFALEHIAKCQHKTALLHPFSPIVVAADENERIRVWNYEEATLLNGFDNHDFPDKGISKLCLINELDDSLLLVASCDGSVIQLNAVVDWQQQSGYLYASGETLWDLEKEQL | |||||||||||||
| 8 | 4epoG | 0.14 | 0.13 | 4.29 | 0.67 | MUSTER | --QEHWALMEELNRSKKDFEAIIQAKNKELEQTKEEKEKMQAQKEEVLSHMNDVLENELQCISEYFIEAVTLNCAHINEWMKRKIECPICRKDI-LVLDNCINKMVNNLSSEVKERR-----------IVLIRERKA--KRLF | |||||||||||||
| 9 | 2xcoA2 | 0.17 | 0.16 | 5.27 | 0.53 | HHsearch | KPVHRRILYGLAMVRMAQDFQGNSMDAMEATLERDINKDREPSVLPARFPGASGTNIPPHNLTELI-----------NGVLSLSKNPDIAELMEDIEGPDFPTAILGKSGIRRAYETGRGSIQMRSRAVIEERVVTEIPFQVN | |||||||||||||
| 10 | 5wbiA | 0.10 | 0.10 | 3.64 | 0.43 | CEthreader | GIEERSLLPLSTIYGWSCGHFSKPLSQEIAAKREEKEKFALEHIAKCQHSSISKLNNNPIANWDTRFETGTKTALLHPFSPIVVAADENERIRVWNYEEATLLNGFDNHDFPDKGISKLCLINELDDSLLLVASCDGSVRIWK | |||||||||||||
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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. |