| >Q6ZVZ8 (143 residues) MSNSDYLPDYPLNSDLVKRLKSALDAKDEERVRDLICTEITPVDAVIELANDDWMKDPSA QLPTGMLLGDLDHLKPLMDQFFQDANVVFEINKDEMEWQVKSPATFGLSGLWTLEYKREL TTPLCIAAAHGHTACVRHLLGRG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSNSDYLPDYPLNSDLVKRLKSALDAKDEERVRDLICTEITPVDAVIELANDDWMKDPSAQLPTGMLLGDLDHLKPLMDQFFQDANVVFEINKDEMEWQVKSPATFGLSGLWTLEYKRELTTPLCIAAAHGHTACVRHLLGRG |
| Prediction | CCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHCCCCCCCCCHHHHHCCCCSSCCHHHHHHHHCCCCCCCCSSSSSCCCCCCCCCCCCCCCCCCCSSSSSSSCSCCCCSSSSCCCCHHHHHHHHHHCC |
| Confidence | 99766899988896999999999842228899863024446533455406875333723441101101547899998513578876688706876201123445445441368764000266354422138699999999729 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSNSDYLPDYPLNSDLVKRLKSALDAKDEERVRDLICTEITPVDAVIELANDDWMKDPSAQLPTGMLLGDLDHLKPLMDQFFQDANVVFEINKDEMEWQVKSPATFGLSGLWTLEYKRELTTPLCIAAAHGHTACVRHLLGRG |
| Prediction | 86457333523234620430343263744631463425635416414624575204422342330112232630451156644413010304555341444435443231102033456332203022442134004202758 |
| 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 | CCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHCCCCCCCCCHHHHHCCCCSSCCHHHHHHHHCCCCCCCCSSSSSCCCCCCCCCCCCCCCCCCCSSSSSSSCSCCCCSSSSCCCCHHHHHHHHHHCC MSNSDYLPDYPLNSDLVKRLKSALDAKDEERVRDLICTEITPVDAVIELANDDWMKDPSAQLPTGMLLGDLDHLKPLMDQFFQDANVVFEINKDEMEWQVKSPATFGLSGLWTLEYKRELTTPLCIAAAHGHTACVRHLLGRG | |||||||||||||||||||
| 1 | 5le2A | 0.23 | 0.21 | 6.59 | 1.33 | DEthreader | GTAPLLADVAERKKDLDRKLLEAARAGHRDEVEDLIKNGA-DV--NT--A---D-ETGFTPLHLAAWEGHLGIVEVLLKNGA-DVNANDERGHTPLHLAAYTGHLEIVEVLLKNGAGATGTAPLHLAAMWGHLEIVEVLLKNG | |||||||||||||
| 2 | 5et0A2 | 0.17 | 0.15 | 5.05 | 2.21 | SPARKS-K | -------RVQEKDNSGATVLHLAARFGHPDVVKWLLYQG----GANSAITTDT----GALPIHYAAAKGDLPSLKLLVGHYPEGVNAQTNNGATPLYLACQEGHLEVTKYLVQCSADPHGMTPLHAAAQMGHNPVLVWLVSFA | |||||||||||||
| 3 | 5et0A2 | 0.18 | 0.15 | 4.80 | 0.45 | MapAlign | ---------------VQTVLHLAARFGHPDVVKWLLYQGG----ANSAIT----TDTGALPIHYAAAKGDLPSLKLLVGHYPEGVNAQTNNGATPLYLACQEGHLEVTKYLVQCSADLDGMTPLHAAAQMGHNPVLVWLVSF- | |||||||||||||
| 4 | 6c9kA | 0.21 | 0.20 | 6.22 | 0.28 | CEthreader | LSDLLFLLARVIEIELGKKLLEAARAGQDDEVRILMANGADVN---------AHDDQGSTPLHLAAWIGHPEIVEVLLKHG-ADVNARDTDGWTPLHLAADNGHLEIVEVLLKYGADVYGLTPLHLAADRGHLEIVEVLLKHG | |||||||||||||
| 5 | 5le2A2 | 0.13 | 0.11 | 3.87 | 1.62 | MUSTER | -----------ADETGFTPLHLAAWEGHLGIVEVLLKNGADVNA---------NDERGHTPLHLAAYTGHLEIVEVLLKNG-AGVNATDVIGTAPLHLAAMWGHLEIVEVLLKNGADKFGKTPFDLAIDNGNEDIAEVLQKAA | |||||||||||||
| 6 | 6mwqA | 0.22 | 0.19 | 5.95 | 0.97 | HHsearch | -----------SGSDLGKKLLEAARAGQDDEVRILMANGAD-----VNALD-RF---GLTPLHLAAQRGHLEIVEVLLKCG-ADVNAADLWGQTPLHLAATAGHLEIVEVLLKYGADLIGKTPLHLTAIDGHLEIVEVLLKHG | |||||||||||||
| 7 | 4bszB | 0.13 | 0.12 | 4.10 | 1.76 | FFAS-3D | ----------PLDQEDQDTIILDARAGDLDSLKDIFTTLVSPELLSTCKES----ESDSTALHMAAANGHIETVRYILEDLKAFVNEVNKTGNTALHWASLNGKLDVVKLLCDFIRNKFGHDAIFEAENSGKEEVETYFLKK- | |||||||||||||
| 8 | 6jd6B | 0.14 | 0.13 | 4.33 | 0.80 | EigenThreader | DGPRKLLSRNPDLAVATLPLHTLAACGEFYLVDSLL--KHNLDINA-------TDVGGLTVLHRAIIGKKQAITNYLLRESA-NPFVLDDEGATLMHYAVQTASAPTIKLLLLYNAAQDRDGPLHVAVQARRSDIVKLLLIKG | |||||||||||||
| 9 | 4rlvA | 0.21 | 0.17 | 5.57 | 1.44 | CNFpred | ------------TKNGLSPLHMAAQGDHVECVKHLLQHKAPVDDVT---------LDYLTALHVAAHCGHYRVTKLLLDKRA-NPNARALNGFTPLHIACKKNRIKVMELLVKYGASIQALTPIHVAAFMGHLNIVLLLLQNG | |||||||||||||
| 10 | 6c9kA | 0.20 | 0.19 | 6.02 | 1.33 | DEthreader | FVLP-GGTLESVIIELGKKLLEAARAGQDDEVRILMANGA-DVN-A---H---D-DQGSTPLHLAAWIGHPEIVEVLLKHGA-DVNARDTDGWTPLHLAADNGHLEIVEVLLKGADNAQGLTPLHLAADRGHLEIVEVLLKHG | |||||||||||||
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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. |