| >O15321 (143 residues) FPPYRGLLCAVLGVGAQFLALGTGIIVMALLGMFNVHRHGAINSAAILLYALTCCISGYV SSHFYRQIGGERWVWNIILTTSLFSVPFFLTWSVVNSVHWANGSTQALPATTILLLLTVW LLVGFPLTVIGGIFGKNNASPFD |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | FPPYRGLLCAVLGVGAQFLALGTGIIVMALLGMFNVHRHGAINSAAILLYALTCCISGYVSSHFYRQIGGERWVWNIILTTSLFSVPFFLTWSVVNSVHWANGSTQALPATTILLLLTVWLLVGFPLTVIGGIFGKNNASPFD |
| Prediction | CCCCCHHHHHHHCCHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCC |
| Confidence | 99983489999702099999999999999996237555742799999999999645788999999993885233234556788659999999999999999624466765899999999999988778889988515799999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | FPPYRGLLCAVLGVGAQFLALGTGIIVMALLGMFNVHRHGAINSAAILLYALTCCISGYVSSHFYRQIGGERWVWNIILTTSLFSVPFFLTWSVVNSVHWANGSTQALPATTILLLLTVWLLVGFPLTVIGGIFGKNNASPFD |
| Prediction | 63632100001223310133123213311221123444321111121331033133212200201331435412300101012113333333333123113241222232331331333133213310330121033455668 |
| 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 | CCCCCHHHHHHHCCHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCC FPPYRGLLCAVLGVGAQFLALGTGIIVMALLGMFNVHRHGAINSAAILLYALTCCISGYVSSHFYRQIGGERWVWNIILTTSLFSVPFFLTWSVVNSVHWANGSTQALPATTILLLLTVWLLVGFPLTVIGGIFGKNNASPFD | |||||||||||||||||||
| 1 | 6zg3C | 0.13 | 0.13 | 4.40 | 1.13 | SPARKS-K | IPLTVAVFASLRGPKAGAAFGLVWGLTSLLRAYVAPGLVTILLFQNPLIALLPRLAAGWAAGLAGQLADKESRKPLAYALSGLLASAVNTLIVILLSDLVYFIHPQKLGQSLLVILFTALAVNGILEAVFSGLITPLITAPLK | |||||||||||||
| 2 | 4he8F | 0.10 | 0.08 | 2.85 | 1.03 | CNFpred | ----PTPVSALIHAATMVTAGVYLIARSSFLYSV----LPDVSYAIAVVGLLTAAYGALSAFGQT-------DIKKIVAYSTISQLGYMFLAAGVGA-----------YWVALFHVFTHAFFKALLFLASGSVIHAL------ | |||||||||||||
| 3 | 6xbdG | 0.08 | 0.07 | 2.79 | 1.17 | DEthreader | ---PLLVRQLYNVGVLSMLIIVVSGVFIGMVLQGLGMLVLSLLELGPVVAALLFAGAGSALTAEIGLMQLPLVISPRFWAGVISLP-LL-VI--A-------WSMQNDWRMDLVNCLIKSVVFAITVTWISLFNGYDAPTSIS | |||||||||||||
| 4 | 5x5yF1 | 0.08 | 0.08 | 3.08 | 0.51 | CEthreader | VFRYLSREVLVTMSAVSAVLLVIIMSGRFIKYLAQAAQGLIMAFRIPGFLQLILPLGLFLGILLAYGRLYLRLLGYTMAPALLVAILVAWLSLFLAPQGINQFGSDNPRYQAELQWRLSTPLLVFVVTLLAVPLSRVNPRQGR | |||||||||||||
| 5 | 5l75F | 0.07 | 0.07 | 2.83 | 1.00 | EigenThreader | ---IIIRYLVRETLKSQLAILFILLLIFFCQKLVRILGAAVDPEMAQLILPLSLFLGLLMTLGKLYTESKAVLIKAAMILAVFTGAVAAVNVGPWSSRHQD-----EVLAEAKAHWRFTLVATVFIMALMVVPLSVVNPRQGR | |||||||||||||
| 6 | 3d9sA | 0.13 | 0.12 | 4.11 | 0.81 | FFAS-3D | ----KAVFAEFLATQIALAFGLAIGTLAQALGPVSGGHINPAITLALLVYVAAQLVGAIAGAGILYGVAPLNMVVELILTFQLALCIFIGLSVTLGHLVGIYFTGCSMPARSFGPAVVHWVFWVGPI--VGAVLA-------- | |||||||||||||
| 7 | 7c2mA | 0.13 | 0.13 | 4.40 | 1.04 | SPARKS-K | FFVFGTVIAAALPAIIGGLAIAGALGIMRLVAEFTPVHFFAQPVVTLIGLGIAIDYGLFIVSRFREEIAGYDTEAAVRRTVMTSGRTVVFSAVIIVASSVPLLLFPQGFLKSITYAIIASVMLAAILSIALAILGPRVDALGV | |||||||||||||
| 8 | 3rkoC | 0.09 | 0.08 | 2.97 | 1.03 | CNFpred | ---LPDAHSQAPTAGSVDLAGILLKTAAYGLLRFSLPLFPNASAEFAPIAMWLGVIGIFYGAWMAFAQ-------TDIKRLIAYTSVSHMGFVLIAIYTGS-----QLAYQGAVIQMIAHGLSAAGLFILCGQLYERIHTRDM | |||||||||||||
| 9 | 5y50A | 0.07 | 0.07 | 2.84 | 1.17 | DEthreader | -GFLRETKKLSYIAGAMIAVNSSMYVLQVISIAVSSVSVCLSTQSSLYQIPESLGAAASTRVANELGAGNKQARMAVYTAMVITGVESIMVGAIVFG-AR--NVFGKMAPLLSLSVIFDAL-HAALSGVARGSGQAKARVM-- | |||||||||||||
| 10 | 6mjpG | 0.07 | 0.07 | 2.86 | 0.74 | MapAlign | MFKILDWYIGRTIVATTALVLVTFVGLSGIIKYALLFVVLSIPRDVEMFFPMAALLGALIGLGALASSSELDIGLSVLKTAIPLMIIVLTGLSDYVHYLKASEQDSRY-ELALWRKVTQPI-SIAVMMLMALSFIFGPLRS-- | |||||||||||||
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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. |