| >Q9H2K2 (143 residues) DVTRIKKHLSLEMVNFKHPQTHETALHCAAASPYPKRKQICELLLRKGANINEKTKEFLT PLHVASEKAHNDVVEVVVKHEAKVNALDNLGQTSLHRAAYCGHLQTCRLLLSYGCDPNII SLQGFTALQMGNENVQQLLQEGI |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DVTRIKKHLSLEMVNFKHPQTHETALHCAAASPYPKRKQICELLLRKGANINEKTKEFLTPLHVASEKAHNDVVEVVVKHEAKVNALDNLGQTSLHRAAYCGHLQTCRLLLSYGCDPNIISLQGFTALQMGNENVQQLLQEGI |
| Prediction | CHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCCCCHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHCCC |
| Confidence | 78999999991982114699999569999990987838999999990998777689999879999992988899999980998676689999869999995989999999980999876679999879999999999998179 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DVTRIKKHLSLEMVNFKHPQTHETALHCAAASPYPKRKQICELLLRKGANINEKTKEFLTPLHVASEKAHNDVVEVVVKHEAKVNALDNLGQTSLHRAAYCGHLQTCRLLLSYGCDPNIISLQGFTALQMGNENVQQLLQEGI |
| Prediction | 82630250045501414457434000010033425532300413074505033416544001010044422300402064404024316544001010044412300403064403143316544103110252043026558 |
| 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 | CHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCCCCHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHCCC DVTRIKKHLSLEMVNFKHPQTHETALHCAAASPYPKRKQICELLLRKGANINEKTKEFLTPLHVASEKAHNDVVEVVVKHEAKVNALDNLGQTSLHRAAYCGHLQTCRLLLSYGCDPNIISLQGFTALQMGNENVQQLLQEGI | |||||||||||||||||||
| 1 | 5jhqA3 | 0.74 | 0.73 | 20.82 | 1.50 | DEthreader | DLAKVKKTLALEIINFKQPQSHETALHCAVASLHPKRKQVTELLLRKGANVNEKNKDFMTPLHVAAERAHNDVMEVLHKHGAKMNALDTLGQTALHRAALAGHLQTCRLLLSYGSDPSIISLQGFTAAQMGNEAVQQILSE-S | |||||||||||||
| 2 | 5jhqA3 | 0.74 | 0.73 | 20.82 | 2.21 | SPARKS-K | DLAKVKKTLALEIINFKQPQSHETALHCAVASLHPKRKQVTELLLRKGANVNEKNKDFMTPLHVAAERAHNDVMEVLHKHGAKMNALDTLGQTALHRAALAGHLQTCRLLLSYGSDPSIISLQGFTAAQMGNEAVQQILSES- | |||||||||||||
| 3 | 4gmrA | 0.40 | 0.38 | 11.35 | 0.50 | MapAlign | -KDRVKDLLENGAVNASD-SDGKTPLHLAAENG---HKEVVKLLLSQGADPNAKDSDGKTPLHLAAENGHKEVVKLLLSQGADPNAKDSDGKTPLHLAAENGHKEVVKLLLSQGADPNTSDSDGRTPLDLANEEVVKLLEKQG | |||||||||||||
| 4 | 5gp7A | 0.34 | 0.34 | 10.04 | 0.33 | CEthreader | CLARVQKLCTPENINCRDTQRNSTPLHLAAGYN---NLEVAEYLLEHGADVNAQDKGGLIPLHNAASYGHVDIAALLIKYNTCVNATDKWAFTPLHEAAQKGRTQLCALLLAHGADPTMKNQEGQTPLDLATDDIRALLIDAM | |||||||||||||
| 5 | 3utmA | 0.74 | 0.73 | 20.82 | 1.55 | MUSTER | DLAKVKKTLALEIINFKQPQSHETALHCAVASLHPKRKQVAELLLRKGANVNEKNKDFMTPLHVAAERAHNDVMEVLHKHGAKMNALDSLGQTALHRAALAGHLQTCRLLLSYGSDPSIISLQGFTAAQMGNEAVQQILSES- | |||||||||||||
| 6 | 5aq7A | 0.32 | 0.31 | 9.28 | 0.91 | HHsearch | QDDEVRILLANGDVNTAD-ETGFTPLHLAAWE---GHLGIVEVLLKNGADVNANDERGHTPLHLAAYTGHLEIVEVLLKNGAGVNATDVIGTAPLHLAAMWGYKEIVEVLLKAGADVDAQDKFGKRPLWLAADQAAKLVAARL | |||||||||||||
| 7 | 5jhqA3 | 0.74 | 0.73 | 20.82 | 2.20 | FFAS-3D | DLAKVKKTLALEIINFKQPQSHETALHCAVASLHPKRKQVTELLLRKGANVNEKNKDFMTPLHVAAERAHNDVMEVLHKHGAKMNALDTLGQTALHRAALAGHLQTCRLLLSYGSDPSIISLQGFTAAQMGNEAVQQILSES- | |||||||||||||
| 8 | 5jhqA3 | 0.73 | 0.73 | 20.63 | 0.87 | EigenThreader | DLAKVKKTLALEIINFKQPQSHETALHCAVASLHPKRKQVTELLLRKGANVNEKNKDFMTPLHVAAERAHNDVMEVLHKHGAKMNALDTLGQTALHRAALAGHLQTCRLLLSYGSDPSIISLQGFTAAQMGNEAVQQILS-ES | |||||||||||||
| 9 | 5jhqA | 0.74 | 0.73 | 20.82 | 1.82 | CNFpred | DLAKVKKTLALEIINFKQPQSHETALHCAVASLHPKRKQVTELLLRKGANVNEKNKDFMTPLHVAAERAHNDVMEVLHKHGAKMNALDTLGQTALHRAALAGHLQTCRLLLSYGSDPSIISLQGFTAAQMGNEAVQQILSES- | |||||||||||||
| 10 | 5jhqA | 0.74 | 0.73 | 20.82 | 1.50 | DEthreader | DLAKVKKTLALEIINFKQPQSHETALHCAVASLHPKRKQVTELLLRKGANVNEKNKDFMTPLHVAAERAHNDVMEVLHKHGAKMNALDTLGQTALHRAALAGHLQTCRLLLSYGSDPSIISLQGFTAAQMGNEAVQQILSE-S | |||||||||||||
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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. |