| >P51160 (141 residues) CERYSIGLLDMTKEKEFYDEWPIKLGEVEPYKGPKTPDGREVNFYKIIDYILHGKEEIKV IPTPPADHWTLISGLPTYVAENGFICNMMNAPADEYFTFQKGPVDETGWVIKNVLSLPIV NKKEDIVGVATFYNRKDGKPF |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | CERYSIGLLDMTKEKEFYDEWPIKLGEVEPYKGPKTPDGREVNFYKIIDYILHGKEEIKVIPTPPADHWTLISGLPTYVAENGFICNMMNAPADEYFTFQKGPVDETGWVIKNVLSLPIVNKKEDIVGVATFYNRKDGKPF |
| Prediction | CCCSSSSSSSCCCCHHHHHHHHHHHCCCCCCCCCCCCCCCSSSSSSSSSHHHCCCCCCCCCCCCCCCCCCCCCCCHHHHHHCCCSSSSCCCCCCCCCCCCCCCCCCCCCSSCSSSSSSSSCCCCCSSSSSSSSSCCCCCCC |
| Confidence | 960588877367540121012210124444457888776536777542122224554311578710001158870234432398697376323988675542010259865227888546699979999996866899999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | CERYSIGLLDMTKEKEFYDEWPIKLGEVEPYKGPKTPDGREVNFYKIIDYILHGKEEIKVIPTPPADHWTLISGLPTYVAENGFICNMMNAPADEYFTFQKGPVDETGWVIKNVLSLPIVNKKEDIVGVATFYNRKDGKPF |
| Prediction | 653000000234655622542324237245464463663442302421432364565253354465241324421012005344303052027364153745326624132210000002157440000000002575658 |
| 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 | CCCSSSSSSSCCCCHHHHHHHHHHHCCCCCCCCCCCCCCCSSSSSSSSSHHHCCCCCCCCCCCCCCCCCCCCCCCHHHHHHCCCSSSSCCCCCCCCCCCCCCCCCCCCCSSCSSSSSSSSCCCCCSSSSSSSSSCCCCCCC CERYSIGLLDMTKEKEFYDEWPIKLGEVEPYKGPKTPDGREVNFYKIIDYILHGKEEIKVIPTPPADHWTLISGLPTYVAENGFICNMMNAPADEYFTFQKGPVDETGWVIKNVLSLPIVNKKEDIVGVATFYNRKDGKPF | |||||||||||||||||||
| 1 | 3lfvA1 | 0.27 | 0.20 | 6.11 | 1.00 | DEthreader | ADRYSLFLVCENDKFLISR-L----------EGST-----LEEV------------------SNNCIRLEWNKGIVGHVAALGEPLNIKDAYEDPRF--NAEVDQITGYKTQSILCMPIKNHREEVVGVAQAINKKSGGTF | |||||||||||||
| 2 | 6x88A2 | 0.96 | 0.79 | 22.28 | 1.44 | SPARKS-K | CERYSVGLLDMTPD------------------------GREVNFYKIIDYILHGKEEIKVIPTPPADHWCLISGLPTYVAENGFICNMMNAPADEYFTFQKGPVDETGWVIKNVLSLPIVNKKEEIVGVATFYNRKDGKPF | |||||||||||||
| 3 | 1ykdA | 0.16 | 0.12 | 3.99 | 0.76 | MapAlign | ADRSTLWLIDRDRHELWT------------------------------KITQDNGSTK-------ELRVPIGKGFAGIVAASGQKLNIFDLYDHPDSATAKQIDQQNGYRTCSLLCMPVFNGDQELIGVTQLVNKCFQASF | |||||||||||||
| 4 | 3trcA | 0.14 | 0.10 | 3.39 | 0.67 | CEthreader | ADACSLFICDDVHGEYVLATQGLNSKQ------------------------------------VGKLRLKFGEGLIGLVGEREEPINLADAPLHPAYKHRPELGE---EDYHGFLGIPIIEQ-GELLGILVIQQ-LESHHF | |||||||||||||
| 5 | 6mzbB | 0.74 | 0.67 | 19.10 | 1.25 | MUSTER | CDRYSVGLLDMTKEKEFFDVWPVLMGEAQAYSGPRTPDGREILFYKV-----------KVIPSPPADHWALASGLPTYVAESGFICNIMNAPADEMFN--FQEGPDSGWIVKNVLSMPIVNKKEEIVGVATFYNRKDGKPF | |||||||||||||
| 6 | 3ibjA | 0.28 | 0.19 | 5.86 | 2.02 | HHsearch | AEICSVFLLDQ--NELVAKVFDGGVVDD----------------------------------ESYEIRIPADQGIAGHVATTGQILNIPDAYAHPLF--------STGFRTRNILCFPIKNENQEVIGVAELVNKINGPWF | |||||||||||||
| 7 | 2k31A | 0.27 | 0.21 | 6.54 | 1.33 | FFAS-3D | ADRYSLFLVCEDSSKD------------------------KFLISRLFDVAEGSTLE---EASNNCIRLEWNKGIVGHVAAFGEPLNIKDAYEDPRFN--AEVDQITGYKTQSILCMPIKNHREEVVGVAQAINKKSGNTF | |||||||||||||
| 8 | 6x88A1 | 0.15 | 0.12 | 4.04 | 0.82 | EigenThreader | LARCSMFICRSGIPEVATRLLNVT--------PTSK------------------FEDNLV-NPDKETVFPLDIGIAGWVAHTKKFFNIPDVKKNNHF--SDYLDKKTGYTTVNMMAIPITQK--EVLAVVMALKLNASEFS | |||||||||||||
| 9 | 2zmfA | 0.25 | 0.19 | 5.95 | 1.33 | CNFpred | ADRCALFQVDHKNKELYSDLFDI-----------GEEKEGKPVFKKTK-----------------EIRFSIEKGIAGQVARTGEVLNIPDAYADPRFNR--EVDLYTGYTTRNILCMPIVSR-GSVIGVVQMVNKISGSAF | |||||||||||||
| 10 | 3lfvA | 0.27 | 0.20 | 6.11 | 1.00 | DEthreader | ADRYSLFLVCENDKFLISR-L----------EGST-----LEEV------------------SNNCIRLEWNKGIVGHVAALGEPLNIKDAYEDPRF--NAEVDQITGYKTQSILCMPIKNHREEVVGVAQAINKKSGGTF | |||||||||||||
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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. |