| >Q14C86 (144 residues) DGDILRDQVLHEHIQRLSKVVTANHRALQIPEVYLREAPWPSAQSEIRTISAYKTPRDKV QCILRMCSTIMNLLSLANEDSVPGADDFVPVLVFVLIKANPPCLLSTVQYISSFYASCLS GEESYWWMQFTAAVEFIKTIDDRK |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DGDILRDQVLHEHIQRLSKVVTANHRALQIPEVYLREAPWPSAQSEIRTISAYKTPRDKVQCILRMCSTIMNLLSLANEDSVPGADDFVPVLVFVLIKANPPCLLSTVQYISSFYASCLSGEESYWWMQFTAAVEFIKTIDDRK |
| Prediction | CCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHCCCCC |
| Confidence | 617999999999999999545885345589931124443899999999832257989999999999999999997414567887568999999998863995189999999998111368667899999999999999757569 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DGDILRDQVLHEHIQRLSKVVTANHRALQIPEVYLREAPWPSAQSEIRTISAYKTPRDKVQCILRMCSTIMNLLSLANEDSVPGADDFVPVLVFVLIKANPPCLLSTVQYISSFYASCLSGEESYWWMQFTAAVEFIKTIDDRK |
| Prediction | 863454154035205303511537257060466345763054025104503524103400300130032024204444475445152000000100021415313100300340276415342110100010002005524788 |
| 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 | CCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHCCCCC DGDILRDQVLHEHIQRLSKVVTANHRALQIPEVYLREAPWPSAQSEIRTISAYKTPRDKVQCILRMCSTIMNLLSLANEDSVPGADDFVPVLVFVLIKANPPCLLSTVQYISSFYASCLSGEESYWWMQFTAAVEFIKTIDDRK | |||||||||||||||||||
| 1 | 2efcA | 0.38 | 0.38 | 11.11 | 1.50 | DEthreader | NTEVIADEKLFQKMSLVQQFIS--PENLDIQPTFQNESSWLLAQKELQKINMYKAPRDKLVCILNCCKVINNLLLNASIENAPGADEFLPVLIYVTIKANPPQLHSNLLYIQRYRESKLVGEAAYFFTNILSAESFISNIDAKF | |||||||||||||
| 2 | 2efcA | 0.39 | 0.38 | 11.30 | 1.77 | SPARKS-K | TEEVIADEKLFQKMSLVQQFISP--ENLDIQPTFQNESSWLLAQKELQKINMYKAPRDKLVCILNCCKVINNLLLNASIASAPGADEFLPVLIYVTIKANPPQLHSNLLYIQRYRRSKLVGEAAYFFTNILSAESFISNIDAKS | |||||||||||||
| 3 | 2efcA | 0.38 | 0.37 | 10.90 | 1.66 | MapAlign | TEEVIADEKLFQKMSLVQQFI--SPENLDIQPTFQNESSWLLAQKELQKINMYKAPRDKLVCILNCCKVINNLLLNASNENAPGADEFLPVLIYVTIKANPPQLHSNLLYIQRYRESKLVGEAAYFFTNILSAESFISNI---- | |||||||||||||
| 4 | 2efcA | 0.38 | 0.38 | 11.11 | 1.49 | CEthreader | TEEVIADEKLFQKMSLVQQFIS--PENLDIQPTFQNESSWLLAQKELQKINMYKAPRDKLVCILNCCKVINNLLLNASNENAPGADEFLPVLIYVTIKANPPQLHSNLLYIQRYRESKLVGEAAYFFTNILSAESFISNIDAKS | |||||||||||||
| 5 | 2efcA | 0.38 | 0.38 | 11.11 | 1.20 | MUSTER | TEEVIADEKLFQKMSLVQQFISPEN--LDIQPTFQNESSWLLAQKELQKINMYKAPRDKLVCILNCCKVINNLLLNASNENAPGADEFLPVLIYVTIKANPPQLHSNLLYIQRYRESKLVGEAAYFFTNILSAESFISNIDAKS | |||||||||||||
| 6 | 2efcA | 0.38 | 0.38 | 11.11 | 4.20 | HHsearch | TEEVIADEKLFQKMSLVQQFISPEN--LDIQPTFQNESSWLLAQKELQKINMYKAPRDKLVCILNCCKVINNLLLNASNENAPGADEFLPVLIYVTIKANPPQLHSNLLYIQRYRRSKLVGEAAYFFTNILSAESFISNIDAKS | |||||||||||||
| 7 | 2efcA | 0.38 | 0.38 | 11.10 | 1.69 | FFAS-3D | -EEVIADEKLFQKMSLVQQFISPEN--LDIQPTFQNESSWLLAQKELQKINMYKAPRDKLVCILNCCKVINNLLLNASNENAPGADEFLPVLIYVTIKANPPQLHSNLLYIQRYRESKLVGEAAYFFTNILSAESFISNIDAKS | |||||||||||||
| 8 | 2efcA | 0.38 | 0.38 | 11.11 | 1.62 | EigenThreader | TEEVIADEKLFQKMSLVQQFIS--PENLDIQPTFQNESSWLLAQKELQKINMYKAPRDKLVCILNCCKVINNLLLNASNENAPGADEFLPVLIYVTIKANPPQLHSNLLYIQRYRRSKLVGEAAYFFTNILSAESFISNIDAKS | |||||||||||||
| 9 | 2efcA | 0.37 | 0.37 | 10.92 | 1.22 | CNFpred | TEEVIADEKLFQKMSLVQQFISPE--NLDIQPTFQNESSWLLAQKELQKINMYKAPRDKLVCILNCCKVINNLLLNASNENAPGADEFLPVLIYVTIKANPPQLHSNLLYIQRYRRESLVGEAAYFFTNILSAESFISNIDAKS | |||||||||||||
| 10 | 1txuA | 0.33 | 0.31 | 9.39 | 1.50 | DEthreader | TDDEKKDLAIQKRIRALR-WVT--PQ-LCVP-VNEDVSDVVKAITDIIE-DSKRVPRDKLACITKCSKHIFNAIKITKNE-PASADDFLPTLIYIVLKGNPPRLQSNIQYITRFCPSRLTGEDGYYFTNLCCAVAFIEKLDAQF | |||||||||||||
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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. |