| >Q6NUI1 (143 residues) EDLGELHRAARSGDVPGVEHVLAPGDTGVDKRDRKKSIQQLVPEYKEKQTPESLPQNNNP AAPSQAEGGEGGVACGTVEQMTWLCSLPHAVGGGDGDHSSTGAVGGHPRGPGEYCHLHEQ RVHHHIFARGKRKGKNHVSNVVR |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EDLGELHRAARSGDVPGVEHVLAPGDTGVDKRDRKKSIQQLVPEYKEKQTPESLPQNNNPAAPSQAEGGEGGVACGTVEQMTWLCSLPHAVGGGDGDHSSTGAVGGHPRGPGEYCHLHEQRVHHHIFARGKRKGKNHVSNVVR |
| Prediction | CCHHHHHHHHHHCCCCCCSSSSSCCCCCCCHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCSCCCCHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHCCCCCCCCHHHHCCC |
| Confidence | 93478888776068888147873489997625689999999999874159555887889999753457777510121334212122774346888876666644688899852110345555566653133235310211049 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EDLGELHRAARSGDVPGVEHVLAPGDTGVDKRDRKKSIQQLVPEYKEKQTPESLPQNNNPAAPSQAEGGEGGVACGTVEQMTWLCSLPHAVGGGDGDHSSTGAVGGHPRGPGEYCHLHEQRVHHHIFARGKRKGKNHVSNVVR |
| Prediction | 85455244123436144142012255451555545541452055257664375146565455456464352121123243121103133123336354544233343463434204235541332023304643453145238 |
| 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 | CCHHHHHHHHHHCCCCCCSSSSSCCCCCCCHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCSCCCCHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHCCCCCCCCHHHHCCC EDLGELHRAARSGDVPGVEHVLAPGDTGVDKRDRKKSIQQLVPEYKEKQTPESLPQNNNPAAPSQAEGGEGGVACGTVEQMTWLCSLPHAVGGGDGDHSSTGAVGGHPRGPGEYCHLHEQRVHHHIFARGKRKGKNHVSNVVR | |||||||||||||||||||
| 1 | 6molA2 | 0.19 | 0.17 | 5.43 | 1.63 | SPARKS-K | --GTPLHKAARAGHLEIVEVLLKYG-ADVNATDIWDATLEIVEVLLKNGADVNASDITGTTP------LHLAATMGHLEIVEVLLKY-----GADVNAYLNGATPLHLAARMGHVEIVEVLLKYDVNAQDKFGKTAFDISIDN | |||||||||||||
| 2 | 5jhqA2 | 0.17 | 0.15 | 4.85 | 1.06 | MUSTER | YKKDELLEAARSGNEEKLMALLTPLNVNCHASDGRKSTVRIVQLLLQHGADVHAKDKGGLVPLHNA-----CSYG-HYEVTELLLK-----HGACVNAMLWQFTPLHEAASKNRVEVCSLLLSHDPTLVNCH-GKS----MAP | |||||||||||||
| 3 | 5y4dA | 0.20 | 0.17 | 5.62 | 1.64 | CNFpred | --ETALHMAARAGQVEVVRCLLRNG-ALVDARAREE-KTEIVQLLLQHMAHPDAATTNGYTPLHIS------AREGQVDVASVLLEA-----GAAHSLATKGFTPLHVAAKYGSLDVAKLLLQRRAAADSAGKNGLTPLHVAA | |||||||||||||
| 4 | 6b1bA | 0.08 | 0.07 | 2.74 | 1.00 | DEthreader | TGEEYLK-SL---QDGREKDVTTHPAFRNAAASVAQLYDALHKEMQDSLCWNTDGY----TH--KFF--R--VAKDLRQQRDAIAEWSRL---SYGWMG---RTPDYKAFHFAMYPLQACVRLAVKLDFITALLK-VRAYAEI | |||||||||||||
| 5 | 5aq7A1 | 0.18 | 0.15 | 5.01 | 1.62 | SPARKS-K | DLGKKLLEAARAGQDDEVRILLANG-ADVNTADETGFTLGIVEVLLKNGADVNANDERGHTP------LHLAAYTGHLEIVEVLLKN-----GAGVNATVIGTAPLHLAAMWGYKEIVEVLLKAGADAQDKFGK--------- | |||||||||||||
| 6 | 1vt4I3 | 0.13 | 0.13 | 4.38 | 0.50 | MapAlign | -YSHIGHHLKN-IEHPERMTLFRMVFLDFLMAEDEAIFEEAHKQVQGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG- | |||||||||||||
| 7 | 6c9kA | 0.14 | 0.13 | 4.52 | 0.33 | CEthreader | ELGKKLLEAARAGQDDEVRILMADQGSTPLHLAAWIGHPEIVEVLLKHGADVNARDTDGWTPLHL------AADNGHLEIVEVLLKYGADVNAQDAY----GLTPLHLAADRGHLEIVEVLLKHGADVNAQDKFGKTAFDISI | |||||||||||||
| 8 | 5aq7A1 | 0.20 | 0.17 | 5.38 | 1.06 | MUSTER | DLGKKLLEAARAGQDDEVRILLANG-ADVNTADETGFTLGIVEVLLKNGADVNANDERGHTP-LHL-----AAYTGHLEIVEVLLK-----NGAGVNATVIGTAPLHLAAMWGYKEIVEVLLKADVDAQDKF-GK-------- | |||||||||||||
| 9 | 6mwqA | 0.17 | 0.15 | 5.07 | 0.94 | HHsearch | DLGKKLLEAARAGQDDEVRILMA-NGADVNALDRFGLTPEIVEVLLKCGADVNAADLWGQTPLHL------AATAGHLEIVEVLL--KY---GADVNALLIGKTPLHLTAIDGHLEIVEVLLKHDVNAQDKFGKTAFDISIDN | |||||||||||||
| 10 | 3ixeA | 0.12 | 0.10 | 3.73 | 0.46 | FFAS-3D | EFMDDIFTQCREGNAVAVRLWLDNTENDLNQGDDHEGRSAVVEMLIMRGARINVMNRGDYKADINAVNEHGACFWGQDQVAEDLVA----NGALVSICNKYGEMPVDKA-----KAPLRELLRERAEKMGQNLNRIP------ | |||||||||||||
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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. |