| >P07202 (141 residues) LCKDVNECADGAHPPCHASARCRNTKGGFQCLCADPYELGDDGRTCVDSGRLPRVTWISM SLAALLIGGFAGLTSTVICRWTRTGTKSTLPISETGGGTPELRCGKHQAVGTSPQRAAAQ DSEQESAGMEGRDTHRLPRAL |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LCKDVNECADGAHPPCHASARCRNTKGGFQCLCADPYELGDDGRTCVDSGRLPRVTWISMSLAALLIGGFAGLTSTVICRWTRTGTKSTLPISETGGGTPELRCGKHQAVGTSPQRAAAQDSEQESAGMEGRDTHRLPRAL |
| Prediction | CCCCSCCCCCCCCCCCCCCCSSSSCCCCSSSSCCCCCSSCCCCCCSCCCCCCCCCCCCCCCSSSSSCCCCSSSSCCCCSCCCCCCCCSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 956433445899999899848183699489864999386899981614654568998987478861994179818931713789852356677688877766766766667787667655665577887776766687789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LCKDVNECADGAHPPCHASARCRNTKGGFQCLCADPYELGDDGRTCVDSGRLPRVTWISMSLAALLIGGFAGLTSTVICRWTRTGTKSTLPISETGGGTPELRCGKHQAVGTSPQRAAAQDSEQESAGMEGRDTHRLPRAL |
| Prediction | 655424334666544134534343152244245443141475432040313055563413120201312030303212032243343030324465654654417646644343544425526574624655436623668 |
| 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 | CCCCSCCCCCCCCCCCCCCCSSSSCCCCSSSSCCCCCSSCCCCCCSCCCCCCCCCCCCCCCSSSSSCCCCSSSSCCCCSCCCCCCCCSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC LCKDVNECADGAHPPCHASARCRNTKGGFQCLCADPYELGDDGRTCVDSGRLPRVTWISMSLAALLIGGFAGLTSTVICRWTRTGTKSTLPISETGGGTPELRCGKHQAVGTSPQRAAAQDSEQESAGMEGRDTHRLPRAL | |||||||||||||||||||
| 1 | 2bo2A3 | 0.27 | 0.10 | 3.05 | 1.44 | SPARKS-K | -----NECATLSKVSCGKFSDCWNTEGSYDCVCSPGYEPVSGAKTFKNESENTCQDV------------------------------------------------------------------------------------ | |||||||||||||
| 2 | 5mwbA | 0.28 | 0.21 | 6.52 | 1.05 | MUSTER | ---DVDECAMANSNPCEHAGKCVNTDGAFHCECLKGYA----GPRCMDINECHSDPCQNDATCLDKIGGFTCLCMPGF-----KGVHCELEINECQSNP----CVNNGQCVDKVNRFQCL----------------CPPGF | |||||||||||||
| 3 | 1w0yL1 | 0.27 | 0.09 | 2.62 | 1.20 | HHsearch | SYSDGDQCASS---PCQNGGSCKDQLQSYICFCLPAFE----GRNCEHKDDQ----------------------------------------------------------------------------------------- | |||||||||||||
| 4 | 2w86A | 0.14 | 0.13 | 4.60 | 0.54 | CEthreader | -SADIDECESS----PCINGVCKNSPGSFICECSSESTLDPTKTICIETIKGTCWQTVIDGRCEININGATLKSQCCSSLGAAWGSPCTLCQVDPICGKGYSRIKGTQCEDIDECEVFPGVCKNGLCVNTRGSFKCQCPSG | |||||||||||||
| 5 | 5fmaA | 0.13 | 0.10 | 3.46 | 0.68 | EigenThreader | -------QDPCASNPCANGGQCLPF-ESYICHCPPSFHGP---TCRQDVNECGEKPGL-------------------CRHGGTCHNEVGSPSPCQNGGCLPGFTGQNCEPGNNCKNGGACVVNTYNCRCPPEWTGQYCTE- | |||||||||||||
| 6 | 1uzjA | 0.39 | 0.13 | 3.77 | 0.62 | FFAS-3D | --TDVNECLDP---TTCISGNCVNTPGSYICDCPPDFELNPTRVGCVDTRS------------------------------------------------------------------------------------------ | |||||||||||||
| 7 | 5mwbA | 0.17 | 0.14 | 4.67 | 1.40 | SPARKS-K | ---DVDECAMANSNPCEHAGKCVNTDGAFHCECLKGYAG----PRCEMDINECHSDPCQNDATCLDKIGGFTCLCMPGFKGVHCELEINECQSNPCVNNGQCVDKVNRFQCLCPPGFTGPVCQID---------------- | |||||||||||||
| 8 | 3k07A | 0.11 | 0.03 | 1.02 | 0.64 | CNFpred | ------------------------------------------------------ANIMSLGGIAIAVGAMVDAAIVMIENAHKRLEEWQH--------------------------------------------------- | |||||||||||||
| 9 | 2ycuA | 0.05 | 0.04 | 2.03 | 1.00 | DEthreader | ------C--YTEKLQLHTFFLDLCKVLHYA-------PSFVRCNGVGICRPNRQSKIFFRAGVLAQLEEERASEQTKSDYLKRANELVQWINDKQ--ASLEGLAEQEHAEALRIELKRQKKIAVLLQKYNRITIVQLKLED | |||||||||||||
| 10 | 1uzjA | 0.15 | 0.14 | 4.76 | 0.66 | MapAlign | ---DVNEC--LDPTTCI-SGNCVNTPGSYICDCPPDFELNPTRVGCVDTRSGNCKASCCSLGKAWGTPCEMCPAVNTSEYKILCPGGEGFRPNPITVILEDIDECQELPGLCQGGKCIFQCRCPTGYYLNEDTRVCD---- | |||||||||||||
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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. |