| >Q9Y5G9 (143 residues) LDQNDNVPEILYPTFPTDGSTGVELAPRSADSGYLVTKVVAVDRDSGQNAWLSYSLLKSS EPGLFAVGLHTGEVRTARALLDRDALKQRLVVVVQDHGQPPLSATVTLTVAVADSIPDVL ADLGSLKPSADPDDSGLTLYLVV |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LDQNDNVPEILYPTFPTDGSTGVELAPRSADSGYLVTKVVAVDRDSGQNAWLSYSLLKSSEPGLFAVGLHTGEVRTARALLDRDALKQRLVVVVQDHGQPPLSATVTLTVAVADSIPDVLADLGSLKPSADPDDSGLTLYLVV |
| Prediction | CCCCCCCCSSSCCCCCCCCCCSSSSSCCCCCCCCSSSSSSSSSCCCCCCSSSSSSSCCCCCCCCSSSCCCCCSSSSCCCCCCCCCCSSSSSSSSSSCCSCCCSSSSSSSSSSSCCCCCCCCCCCCSCCCCCCCCCCSSSSSSC |
| Confidence | 98878998570024356775136874178999919999999959999975899999138999965881996499985557923385599999999899098711799999994699987764332013478888843899979 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LDQNDNVPEILYPTFPTDGSTGVELAPRSADSGYLVTKVVAVDRDSGQNAWLSYSLLKSSEPGLFAVGLHTGEVRTARALLDRDALKQRLVVVVQDHGQPPLSATVTLTVAVADSIPDVLADLGSLKPSADPDDSGLTLYLVV |
| Prediction | 66364423302343154643432320235164423203030204143620402030262755330303552120203440346536404020203162634231403030202034461356347344565575340201014 |
| 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 | CCCCCCCCSSSCCCCCCCCCCSSSSSCCCCCCCCSSSSSSSSSCCCCCCSSSSSSSCCCCCCCCSSSCCCCCSSSSCCCCCCCCCCSSSSSSSSSSCCSCCCSSSSSSSSSSSCCCCCCCCCCCCSCCCCCCCCCCSSSSSSC LDQNDNVPEILYPTFPTDGSTGVELAPRSADSGYLVTKVVAVDRDSGQNAWLSYSLLKSSEPGLFAVGLHTGEVRTARALLDRDALKQRLVVVVQDHGQPPLSATVTLTVAVADSIPDVLADLGSLKPSADPDDSGLTLYLVV | |||||||||||||||||||
| 1 | 5szqA | 0.87 | 0.67 | 18.90 | 1.17 | DEthreader | LDQNDNTPEILYPTI--ST--GVELTPRSADPGYLVTKVVAVDKDSGQNAWLSYRLLKASEPGLFSVGLHTGEVRTARALLDRDALKQSLVVTVQDHGQPPLSATVTLTIAVSD----------------------------- | |||||||||||||
| 2 | 5szqA3 | 0.88 | 0.66 | 18.69 | 1.42 | SPARKS-K | --QNDNTPEILYP----TISTGVELTPRSADPGYLVTKVVAVDKDSGQNAWLSYRLLKASEPGLFSVGLHTGEVRTARALLDRDALKQSLVVTVQDHGQPPLSATVTLTIAVSD----------------------------- | |||||||||||||
| 3 | 1ff5A | 0.30 | 0.22 | 6.79 | 0.42 | MapAlign | -DQNDNRPEFTQE-------VFEGSVAEGAVPGTSVMKVSATDADNTYNAAIAYTIVSQDPKNMFTVNRDTGVISVLTSLDRESYPTYTLVVQAADLQGEGLSTTAKAVITVKDI---------------------------- | |||||||||||||
| 4 | 1ff5A | 0.30 | 0.24 | 7.20 | 0.30 | CEthreader | TDQNDNRPEFTQ-------EVFEGSVAEGAVPGTSVMKVSATDADDTYNAAIAYTIVSQDPKNMFTVNRDTGVISVLTSGLDREYPTYTLVVQAADLQGEGLSTTAKAVITVKDINDNA------------------------ | |||||||||||||
| 5 | 5v5xA4 | 0.65 | 0.50 | 14.17 | 1.51 | MUSTER | ---NDNAPRVLYPTLEPDGSALFDMVPRAAEPGYLVTKVVAVDADSGHNAWLSYHVLQASDPGLFSLGLRTGEVRTARALSDKDAARQRLLVAVRDGGQPPLSATATLLLVF------------------------------- | |||||||||||||
| 6 | 7agfD | 0.25 | 0.23 | 7.17 | 0.87 | HHsearch | LDINDNEPVFTQDVFV-------GSVEELSAAHTLVMKINATDADEPLNSKISYRIVSLEYPPVFYLNKDTGEIYTTSTL-DREESSYTLTVEARDGNGEKPVKQAQVQIRILDNIPVVENKVLEGMVEENQ-VNVEVTRIKV | |||||||||||||
| 7 | 6e6bA4 | 0.67 | 0.52 | 14.75 | 1.90 | FFAS-3D | ---NDNAPRVLYPTLEPDGSALFDMVPRSAEPGYLVTKVVAVDADSGHNAWLSYHVLQASDPGLFSLGLRTGEVRTARALGDRDSARQRLLVAVRDGGQPPLSATATLHLIFAD----------------------------- | |||||||||||||
| 8 | 5w4tC | 0.24 | 0.22 | 6.77 | 0.68 | EigenThreader | V--NDNAPSFYN--------QPYAIIPENTPVGTSVFMVNATDPDQGVGGSVLFSFQ--PPSQFFSIDGARGIVTVTRALDYETTIAYQLTVNATDQDRRPLSSLANLAITITDIQDMDDYISGGQLDRENPLYSSGFIITVK | |||||||||||||
| 9 | 6vg1A | 0.26 | 0.25 | 7.76 | 1.81 | CNFpred | IDVNDNAPVIGITPLTSIS-AGVAYITEAAARESFVALISTTDRDSGQNGQVHCTLYGH---EHFRLQQDSYMIVTTSALDREKIAEYNLTVVAEDLGSPPFKTVKQYTIRVSD-APVFAKPVYEVSVLENNAP-GAYITTVV | |||||||||||||
| 10 | 5t9tA | 0.30 | 0.23 | 6.99 | 1.17 | DEthreader | SDVNDNAPVFHQAS-------YLVHVAENNPPGTSIAQVSASDPDLGSNGLISYSIIASLLSSFVSVNQDSGVVFAQRAFDHEQLRSFQLTLQARDHGSPTLSANVSMRVLVGDRN--------------------------- | |||||||||||||
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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. |