| >Q8TEX9 (142 residues) PGRLAELCGVLKAVLQRKTACQDTDEEEEEEDDDQAEYDAMLLEHAGEAIPALAAAAGGD SFAPFFAGFLPLLVCKTKQGCTVAEKSFAVGTLAETIQGLGAASAQFVSRLLPVLLSTAQ EADPEVRSNAIFGMGVLAEHGG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | PGRLAELCGVLKAVLQRKTACQDTDEEEEEEDDDQAEYDAMLLEHAGEAIPALAAAAGGDSFAPFFAGFLPLLVCKTKQGCTVAEKSFAVGTLAETIQGLGAASAQFVSRLLPVLLSTAQEADPEVRSNAIFGMGVLAEHGG |
| Prediction | CCHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHCCCHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHCC |
| Confidence | 9659999999999998610211124321023431320469999999999999999938245899999999999999736999999999999999999984423578999999999998279999999999999999998649 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | PGRLAELCGVLKAVLQRKTACQDTDEEEEEEDDDQAEYDAMLLEHAGEAIPALAAAAGGDSFAPFFAGFLPLLVCKTKQGCTVAEKSFAVGTLAETIQGLGAASAQFVSRLLPVLLSTAQEADPEVRSNAIFGMGVLAEHGG |
| Prediction | 8732550151034105643514646674555456444313300320140021004224463024004401420242045664242110000000100521464034004300420152052732512300000001004348 |
| 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 | CCHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHCCCHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHCC PGRLAELCGVLKAVLQRKTACQDTDEEEEEEDDDQAEYDAMLLEHAGEAIPALAAAAGGDSFAPFFAGFLPLLVCKTKQGCTVAEKSFAVGTLAETIQGLGAASAQFVSRLLPVLLSTAQEADPEVRSNAIFGMGVLAEHGG | |||||||||||||||||||
| 1 | 6xteA2 | 0.24 | 0.24 | 7.45 | 1.50 | DEthreader | NNHFEELGGILKAKLEEHFKNQELKRYVEESLQDEDDNDVYILTKVSDILHSIFSSYKEK-VLPWFEQLLPLIVNLIPHRPW-PDRQWGLCIFDDVIEHCSPASFKYAEYFLRPMLQYVCDNSPEVRQAAAYGLGVMAYGGD | |||||||||||||
| 2 | 5xahA | 0.96 | 0.86 | 24.09 | 1.10 | SPARKS-K | PGRLAELCGVLKAVLQRKTACQAEYDA--------------LLEHAGEAIPALAAAAGGDSFAPFFAGFLPLLVCKTKQGCTVAEKSFAVGTLAETIQGLGAASAQFVSRLLPVLLSTAQEADPEVRSNAIFG-GVLAEHGG | |||||||||||||
| 3 | 1qgkA2 | 0.21 | 0.18 | 5.61 | 1.29 | FFAS-3D | -GALQYLVPILTQTLTKQDENDDDDDWN-------------PCKAAGVCLMLLATCCEDD----IVPHVLPFIKEHI-KNPDWRYRDAAVMAFGCILEGPPSQLKPLVIQAMPTLIELMKDPSVVVRDTAAWTVGRICEL-- | |||||||||||||
| 4 | 6xteA | 0.24 | 0.24 | 7.45 | 1.50 | DEthreader | NNHFEELGGILKAKLEEHFKNQELKRYVEESLQDEDDNDVYILTKVSDILHSIFSSYKEK-VLPWFEQLLPLIVNLIPHRPW-PDRQWGLCIFDDVIEHCSPASFKYAEYFLRPMLQYVCDNSPEVRQAAAYGLGVMAYGGD | |||||||||||||
| 5 | 6xteA2 | 0.26 | 0.26 | 8.02 | 1.09 | SPARKS-K | NEHFEELGGILKAKLEEHFKNQDYDEQVEESLQDEDDNDVYILTKVSDILHSIFSSYKEKVLPWFE-QLLPLIVNLIP-HRPWPDRQWGLCIFDDVIEHCSPASFKYAEYFLRPMLQYVCDNSPEVRQAAAYGLGVMAQYGG | |||||||||||||
| 6 | 3w3tA2 | 0.10 | 0.10 | 3.65 | 0.58 | MapAlign | VPLLPIVIPPLLITAKATQDVDWDVVQVQGKHIAIHTSVLDDKVSAMELLQSYATLL-RGQFAVYVKEVMEIALPSLDFYLHDGVRAAGATLIPILLSCLLAALVLLWHKASSKLIGGLSEPMPEITQVYHNSLVNGIKVM- | |||||||||||||
| 7 | 5xahA | 0.96 | 0.86 | 24.09 | 0.43 | CEthreader | PGRLAELCGVLKAVLQRKTACQAEYDA--------------LLEHAGEAIPALAAAAGGDSFAPFFAGFLPLLVCKTKQGCTVAEKSFAVGTLAETIQGLGAASAQFVSRLLPVLLSTAQEADPEVRSNAIFG-GVLAEHGG | |||||||||||||
| 8 | 3w3tA2 | 0.19 | 0.18 | 5.68 | 0.94 | MUSTER | EDQLAAFTKGVSANLTDTYERMQDRDEYNE------FTDEDLLDEINKSIAAVLKTTNGH-YLKNLENIWPMINTFLLDN-EPILVIFALVVIGDLIQYEQ--TASMKNAFIPKVTECLISPDARIRQAASYIIGVCAQYAP | |||||||||||||
| 9 | 3w3tA2 | 0.17 | 0.16 | 5.30 | 0.91 | HHsearch | EDQLAAFTKGVSANLTDTYERMQDRDE--Y----NEFTDEDLLDEINKSIAAVLKTTN-GHYLKNLENIWPMINTFLLDN-EPILVIFALVVIGDLIQYE--QTASMKNAFIPKVTECLISPDARIRQAASYIIGVCAQYAP | |||||||||||||
| 10 | 3w3tA5 | 0.18 | 0.17 | 5.50 | 1.24 | FFAS-3D | --YGQTLVMVTLIMMTEVSI-DDDDAAEWIESDDTDDEEEVTYDHARQALDRVALKLGGEYLAAPLFQYLQQMI----TSTEWRERFAAMMALSSAAEGCADVLIGEIPKILDMVIPLINDPHPRVQYGCCNVLGQISTD-- | |||||||||||||
| ||||||||||||||||||||
|
Top 10 structural analogs in PDB (as identified by
TM-align)
|
|
Top 5 enzyme homologs in PDB
|
Template proteins with similar binding site:
|
| 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. |