| >Q86TI2 (259 residues) YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNNSFKGIKYLRL NTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRV AIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAG SVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRC PESGEHYEVTLLHFLQEYL |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNNSFKGIKYLRLNTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRVAIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAGSVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRCPESGEHYEVTLLHFLQEYL |
| Prediction | CCCCSSSSSSCCCCCSSSSSSSSCCCCCCCCCCCSSSSSCCCCCCCCCCCCCCCCCCHHHHHHHHCCCSSSSSCCCCCCCCCHHHHHHHHHCCCCCCHHHHHHHHHHHHHHCCCCCCCCSSSSCSCHHHHHHHHHHHHCCCCSSSSSSCCCCCCHHHHCHHHHHHHCCCCCCCHHHHHHCCHHHHHHHHCCCCCCSSSSSCCCCCCCCHHHHHHHHHHHHHHCCCSSSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHC |
| Confidence | 9998699998699968999999399999999863899967999853326766765326899999629789996699998424899998851127888899999999999968993835249973296799999999859991699996378657344100235652799442989999729377787623578987999549999849899999999999909984799969999765687259999999999999859 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNNSFKGIKYLRLNTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRVAIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAGSVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRCPESGEHYEVTLLHFLQEYL |
| Prediction | 7452440404053424010000203415673300000000321202303422223222100100111000000121002223430151035412523050003004200752620255100002132111000100142442010000100020022011200121022155136104721003205405536020000023433202320033005104747251310001413120334611330042015105728 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCSSSSSSCCCCCSSSSSSSSCCCCCCCCCCCSSSSSCCCCCCCCCCCCCCCCCCHHHHHHHHCCCSSSSSCCCCCCCCCHHHHHHHHHCCCCCCHHHHHHHHHHHHHHCCCCCCCCSSSSCSCHHHHHHHHHHHHCCCCSSSSSSCCCCCCHHHHCHHHHHHHCCCCCCCHHHHHHCCHHHHHHHHCCCCCCSSSSSCCCCCCCCHHHHHHHHHHHHHHCCCSSSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHC YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNNSFKGIKYLRLNTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRVAIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAGSVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRCPESGEHYEVTLLHFLQEYL | |||||||||||||||||||
| 1 | 6x6aA4 | 0.98 | 0.98 | 27.37 | 1.50 | DEthreader | YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNSFKGI-KYLRLNTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRVAIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAGSVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRCPESGEHYEVTLLHFLQEYL | |||||||||||||
| 2 | 6eoqA1 | 1.00 | 1.00 | 28.00 | 1.69 | SPARKS-K | YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNNSFKGIKYLRLNTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRVAIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAGSVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRCPESGEHYEVTLLHFLQEYL | |||||||||||||
| 3 | 7c72A2 | 0.23 | 0.22 | 6.90 | 0.42 | MapAlign | LSRPRAERLDGPFGRPVHAYVFPPTNAPEGELPPYVVFVHGGPTGRVST-----VLDLERVYFTSRGIGVIDVNYGGSTGYGRAYRERLRRQWGVVDVEDAIAAAQALVD-GGIADPARLAIRGGSAGGWTTLAAITQTD-VFKAATSYFGISDLQSFESQYLFGLIGPLPGFERAYEERSPLRHADRTA---CPVLLLQGLNDPVVPPDQSERFALALADKKMPYAYLTFEGESHGFRKAGTVVRSLEAELAFYGQTL | |||||||||||||
| 4 | 7c72A2 | 0.23 | 0.22 | 7.01 | 0.30 | CEthreader | LSRPRAERLDGPFGRPVHAYVFPPTAAPEGELPPYVVFVHGGPTGRVSTV-----LDLERVYFTSRGIGVIDVNYGGSTGYGRAYRERLRRQWGVVDVEDAIAAAQALVDG-GIADPARLAIRGGSAGGWTTLAAITQTD-VFKAATSYFGISDLQSFESQYLFGLIGPLPGFERAYEERSPLRHADRT---ACPVLLLQGLNDPVVPPDQSERFALALADKKMPYAYLTFEGESHGFRKAGTVVRSLEAELAFYGQTL | |||||||||||||
| 5 | 6eoqA1 | 1.00 | 1.00 | 28.00 | 1.60 | MUSTER | YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNNSFKGIKYLRLNTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRVAIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAGSVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRCPESGEHYEVTLLHFLQEYL | |||||||||||||
| 6 | 6trwA | 0.73 | 0.73 | 20.60 | 0.98 | HHsearch | YTPPEIFSFESTTGFTLYGMLYKPHDLQPGKKYPTVLFIYGGPQVQLVNNRFKGVKYFRLNTLASLGYVVVVIDNRGSCHRGLKFEGAFKYKMGQIEIDDQVEGLQYLASRYDFIDLDRVGIHGWSYGGYLSLMALMQRSDIFRVAIAGAPVTLWIFYDTGYTERYMGHPDQNEQGYYLGSVAMQAEKFPSEPNRLLLLHGFLDENVHFAHTSILLSFLVRAGKPYDLQIYPQERHSIRVPESGEHYELHLLHYLQENL | |||||||||||||
| 7 | 6x6aA4 | 1.00 | 1.00 | 28.00 | 2.76 | FFAS-3D | YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNNSFKGIKYLRLNTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRVAIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAGSVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRCPESGEHYEVTLLHFLQEYL | |||||||||||||
| 8 | 6trwA2 | 0.73 | 0.73 | 20.60 | 0.70 | EigenThreader | YTPPEIFSFESTTGFTLYGMLYKPHDLQPGKKYPTVLFIYGGPQVQLVNNRFKGVKYFRLNTLASLGYVVVVIDNRGSCHRGLKFEGAFKYKMGQIEIDDQVEGLQYLASRYDFIDLDRVGIHGWSYGGYLSLMALMQRSDIFRVAIAGAPVTLWIFYDTGYTERYMGHPDQNEQGYYLGSVAMQAEKFPSEPNRLLLLHGFLDENVHFAHTSILLSFLVRAGKPYDLQIYPQERHSIRVPESGEHYELHLLHYLQENL | |||||||||||||
| 9 | 6eoqA | 1.00 | 1.00 | 28.00 | 2.44 | CNFpred | YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNNSFKGIKYLRLNTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRVAIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAGSVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRCPESGEHYEVTLLHFLQEYL | |||||||||||||
| 10 | 6x6aA | 0.98 | 0.98 | 27.37 | 1.50 | DEthreader | YVPPEIFHFHTRSDVRLYGMIYKPHALQPGKKHPTVLFVYGGPQVQLVNSFKGI-KYLRLNTLASLGYAVVVIDGRGSCQRGLRFEGALKNQMGQVEIEDQVEGLQFVAEKYGFIDLSRVAIHGWSYGGFLSLMGLIHKPQVFKVAIAGAPVTVWMAYDTGYTERYMDVPENNQHGYEAGSVALHVEKLPNEPNRLLILHGFLDENVHFFHTNFLVSQLIRAGKPYQLQIYPNERHSIRCPESGEHYEVTLLHFLQEYL | |||||||||||||
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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. |