| >P32302 (250 residues) MNYPLTLEMDLENLEDLFWELDRLDNYNDTSLVENHLCPATEGPLMASFKAVFVPVAYSL IFLLGVIGNVLVLVILERHRQTRSSTETFLFHLAVADLLLVFILPFAVAEGSVGWVLGTF LCKTVIALHKVNFYCSSLLLACIAVDRYLAIVHAVHAYRHRRLLSIHITCGTIWLVGFLL ALPEILFAKVSQGHHNNSLPRCTGVKFRSDLSRLLTKLGCTGPASLCQLFPSWRRSSLSE SENATSLTTF |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MNYPLTLEMDLENLEDLFWELDRLDNYNDTSLVENHLCPATEGPLMASFKAVFVPVAYSLIFLLGVIGNVLVLVILERHRQTRSSTETFLFHLAVADLLLVFILPFAVAEGSVGWVLGTFLCKTVIALHKVNFYCSSLLLACIAVDRYLAIVHAVHAYRHRRLLSIHITCGTIWLVGFLLALPEILFAKVSQGHHNNSLPRCTGVKFRSDLSRLLTKLGCTGPASLCQLFPSWRRSSLSESENATSLTTF |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHSCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHSSSSCCCCCCSSSSSCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCC |
| Confidence | 9998766778766655567767678888888777777876554220217885599999999999875599842534115667866778999999999999999889999994199721189999999999999999999999999835654211021015553435566799999999999599987334771799826665336764689999999999999999997899988532467778776789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MNYPLTLEMDLENLEDLFWELDRLDNYNDTSLVENHLCPATEGPLMASFKAVFVPVAYSLIFLLGVIGNVLVLVILERHRQTRSSTETFLFHLAVADLLLVFILPFAVAEGSVGWVLGTFLCKTVIALHKVNFYCSSLLLACIAVDRYLAIVHAVHAYRHRRLLSIHITCGTIWLVGFLLALPEILFAKVSQGHHNNSLPRCTGVKFRSDLSRLLTKLGCTGPASLCQLFPSWRRSSLSESENATSLTTF |
| Prediction | 8746142514364244332434434323323234442244444433440110000211130033133312200100012344310000000000101110000000100210340210200023012223211211110000003100100010130243333320100000001000000101000120343664431120223214431321112311331332031100011232664754443647 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHSCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHSSSSCCCCCCSSSSSCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCC MNYPLTLEMDLENLEDLFWELDRLDNYNDTSLVENHLCPATEGPLMASFKAVFVPVAYSLIFLLGVIGNVLVLVILERHRQTRSSTETFLFHLAVADLLLVFILPFAVAEGSVGWVLGTFLCKTVIALHKVNFYCSSLLLACIAVDRYLAIVHAVHAYRHRRLLSIHITCGTIWLVGFLLALPEILFAKVSQGHHNNSLPRCTGVKFRSDLSRLLTKLGCTGPASLCQLFPSWRRSSLSESENATSLTTF | |||||||||||||||||||
| 1 | 4n6hA | 0.24 | 0.18 | 5.74 | 1.17 | DEthreader | ---------------------------------P----SPGARSASSLALAIAITALYSAVCAVGLLGNVLVMFGIVRYTKMKTATNIYIFNLALADALATSTLPFQSAKYLMTWPFGELLCKAVLSIDYYNMFTSIFTLTMMSVDRYIAVCHPVKALDFRTPAKAKLINICIWVLASGVGVPIMVMAVTRP-RDG--AVVCMLQWWDTVTKI------------C-FLFFVVAPIHIFVIVWTLRR--- | |||||||||||||
| 2 | 5t1aA | 0.26 | 0.21 | 6.42 | 1.50 | SPARKS-K | ---------------------------------------------VKQIGAQLLPPLYSLVFIFGFVGNMLVVLILINCKKLKCLTDIYLLNLAISDLLFLITLPLWAHSAANEWVFGNAMCKLFTGLYHIGYFGGIFFIILLTIDRYLAIVHAVFALKARTVTFGVVTSVITWLVAVFASVPGIIFT----KQKEDSVYVCGPYFPRGWNNFHTIMRNILGLIFEMLRIDEGLRLKIYKDTEGYYTIGI | |||||||||||||
| 3 | 3dqbA | 0.14 | 0.13 | 4.37 | 0.66 | MapAlign | --------------MNGTEGPNFYVPFSNKTGVVRSPFEAPQYYLAEPWQFSMLAAYMFLLIMLGFPINFLTLYVTVQHKKLRTPLNYILLNLAVADLFMVFGFTTTLYTSLGYFVFGPTGCNLEGFFATLGGEIALWSLVVLAIERYVVVC--KPMSNFFGENHAIMGVAFTWVMALACAAPPLSRYIPEG-----MQCSCGIDVIAFLICWLPYAGVTIPAFFAKTSAVYNPVIYIMMNKQFRNCMVT | |||||||||||||
| 4 | 3dqbA | 0.14 | 0.13 | 4.50 | 0.38 | CEthreader | --------------MNGTEGPNFYVPFSNKTGVVRSPFEAPQYYLAEPWQFSMLAAYMFLLIMLGFPINFLTLYVTVQHKKLRTPLNYILLNLAVADLFMVFGFTTTLYTSLGYFVFGPTGCNLEGFFATLGGEIALWSLVVLAIERYVVVCKPMSNF-RFGENHAIMGVAFTWVMALACAAPPLVGWSRYIPEGMQCSCGIDYFVIYMFVVHFIIPLIVIFFCYGQLVFTVKEAAAQQQESATTQKAEK | |||||||||||||
| 5 | 4n6hA | 0.20 | 0.20 | 6.40 | 1.34 | MUSTER | GQIDDALKLANEGKVKEAQAAAEQLKTTRNAYIQKYLGSPGARSASSLALAIAITALYSAVCAVGLLGNVLVMFGIVRYTKMKTATNIYIFNLALADALATSTLPFQSAKYLMEWPFGELLCKAVLSIDYYNMFTSIFTLTMMSVDRYIAVCHPVKALDFRTPAKAKLINICIWVLASGVGVPIMVMAVTRPRDGAVVCMLSPSWYWDTVTKICVFLFAFVVPILICYGLMLLRLRSVRLLSGSKEKDRS | |||||||||||||
| 6 | 6kp6A | 0.22 | 0.18 | 5.67 | 1.33 | HHsearch | -----------------------------------------------TVEMVFIATVTGSLSLVTVVGNILVMLSIKVNRQLQTVNNYFLFSLACADLIIAFSMNLYTVYTKGYWPLGAVVCDLWLALDYVVSNASVMNLLIISFDRYFCVTKPLTYPARRTTKMAALMIAAAWVLSFVLWAPAILFWQFVVGKRTVPDNQCFAQFLSNPIAAFYLPVVIMTVLYIHIYLASRSRVHGIDCSLTGSKGKE | |||||||||||||
| 7 | 5unfA2 | 0.26 | 0.15 | 4.57 | 2.24 | FFAS-3D | ----------------------------------------------------AIPILYYIIFVIGFLVNIVVVTLFCCQKGPKKVSSIYIFNLAVADLLLLATLPLWATYYSYDWLFGPVMCKVFGSFLTLNMFASIFFITCMSVDRYQSVIYPFPWQ-------ASYIVPLVWCMACLSSLPTFYFRDVRTIEYLG-VNACI----------------------------------------------- | |||||||||||||
| 8 | 6lw5A | 0.21 | 0.21 | 6.59 | 0.95 | EigenThreader | DKSPDSPEMKDAEQLKTTRNAYIQKYLTNFSTPLNEYEEVSYESAGYTVLRILPLVVLGVTFVLGVLGNGLVIWVAGFRMT-RTVTTICYLNLALADFSFTATLPFLIVSMAMGWPFGWFLCKLIHIVVDINLFGSVFLIGFIALDRCICVLHPVWAQNHRTVSLAMKVIVGPWILALVLTLPVFLFLTTVPNG-----DTYCTFNFMLTARGIIRFVIGFPFQLVALLGTVWLKEMLFYGKYKIIDILV | |||||||||||||
| 9 | 5t1aA | 0.28 | 0.22 | 6.74 | 1.29 | CNFpred | ----------------------------------------------KQIGAQLLPPLYSLVFIFGFVGNMLVVLILINCKKLKCLTDIYLLNLAISDLLFLITLPLWAHSAANEWVFGNAMCKLFTGLYHIGYFGGIFFIILLTIDRYLAIVHAVFALKARTVTFGVVTSVITWLVAVFASVPGIIFTKMQK-----SVYVCGPYFPNNFHTIMRNILGLVLPLLIMVICYSGISRASKSRINIFEMLRI | |||||||||||||
| 10 | 4n6hA2 | 0.23 | 0.18 | 5.64 | 1.17 | DEthreader | --------------------------------------SPGARSASSLALAIAITALYSAVCAVGLLGNVLVMFGIVRYTKMKTATNIYIFNLALADALATSTLPFQSAKYLMTWPFGELLCKAVLSIDYYNMFTSIFTLTMMSVDRYIAVCHPVKALDFRTPAKAKLINICIWVLASGVGVPIMVMAVTRP-RDG-AVVCMLQFWWDTVTKI------------C-FLFFVVAPIHIFVIVWTLRR--- | |||||||||||||
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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. |