| >Q6IC83 (251 residues) MGSKLTCCLGPSGGLNCDCCRPDVGPCHECEIPETVAATAPASTTAKPAKLDLKAKKAQL MQYLSLPKTPKMLKMSKGLDARSKRWLKIIWRRHGIWPLENIGPTEDVQASAHGGVEENM TSDIEIPEAKHDHRPTEDVQVSAHGGVEENITSDIEISEAKHDHHLVEDLSESLSVCLED FMTSDLSESLSVSLEDFMTSGLSESLSVSLEDLMTPEMAKERYEDYLCWVKMARSRLNEP ISSQVLGLLRL |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MGSKLTCCLGPSGGLNCDCCRPDVGPCHECEIPETVAATAPASTTAKPAKLDLKAKKAQLMQYLSLPKTPKMLKMSKGLDARSKRWLKIIWRRHGIWPLENIGPTEDVQASAHGGVEENMTSDIEIPEAKHDHRPTEDVQVSAHGGVEENITSDIEISEAKHDHHLVEDLSESLSVCLEDFMTSDLSESLSVSLEDFMTSGLSESLSVSLEDLMTPEMAKERYEDYLCWVKMARSRLNEPISSQVLGLLRL |
| Prediction | CCCSSSSSCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHCCCCCCCCCCCSSSSCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHCHHCCCCCSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCSSSHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHCCCCCCCCCCHHHHCCHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHCC |
| Confidence | 99557774279988876776788887520135666540467776667620211124453001114423566533344568654368999986146663202587656024433202114553045225677776555665455676322420001010246651211334567777788652432110103447776522444322332555158788899876678999988886445116777765329 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MGSKLTCCLGPSGGLNCDCCRPDVGPCHECEIPETVAATAPASTTAKPAKLDLKAKKAQLMQYLSLPKTPKMLKMSKGLDARSKRWLKIIWRRHGIWPLENIGPTEDVQASAHGGVEENMTSDIEIPEAKHDHRPTEDVQVSAHGGVEENITSDIEISEAKHDHHLVEDLSESLSVCLEDFMTSDLSESLSVSLEDFMTSGLSESLSVSLEDLMTPEMAKERYEDYLCWVKMARSRLNEPISSQVLGLLRL |
| Prediction | 74230100023534451535436334335240253244335443435345141325433304403456236047246312440441042004454214134243254243433444454334324044462444235414456343345412231332425333201220443031124402454145513230441244424543424153013362046305300000310453155403530131056 |
| 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 | CCCSSSSSCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHCCCCCCCCCCCSSSSCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHCHHCCCCCSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCSSSHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHCCCCCCCCCCHHHHCCHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHCC MGSKLTCCLGPSGGLNCDCCRPDVGPCHECEIPETVAATAPASTTAKPAKLDLKAKKAQLMQYLSLPKTPKMLKMSKGLDARSKRWLKIIWRRHGIWPLENIGPTEDVQASAHGGVEENMTSDIEIPEAKHDHRPTEDVQVSAHGGVEENITSDIEISEAKHDHHLVEDLSESLSVCLEDFMTSDLSESLSVSLEDFMTSGLSESLSVSLEDLMTPEMAKERYEDYLCWVKMARSRLNEPISSQVLGLLRL | |||||||||||||||||||
| 1 | 1vt4I3 | 0.06 | 0.06 | 2.51 | 0.49 | CEthreader | GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG | |||||||||||||
| 2 | 3j7jA | 0.08 | 0.08 | 3.03 | 0.60 | EigenThreader | ALDVLYDVMKSKKHMLKYLELCVDLRKSHLAKEGLYQYKNICQQVNIKSLEDVVRAYYRQCLDLLRNNSRVERLYHDIAQQAFKFCLQYSQSMHLETRL----VQLDSAISMELWQEAFKAVEDIKPQLMANYYNKVSTVFWKSGNALFHASTLHRLYHLSREMRKNLTQDEMQRMSTRVLLATLSNVLQYVVPEVKDLYNWLEVEFNPLKLCERVTKVLNWVREQEPELQQYVPQLQNNTILRLLQQVSQ | |||||||||||||
| 3 | 6t9iK | 0.14 | 0.12 | 3.93 | 0.40 | FFAS-3D | ----------------------------EYDISNAIPDIVYEGVNTKTLDKMEDASVDRMLQNGINKQSRFLANKDLGLTPKMNQNITLIQQIRHI--CHKISLIR--MLQSYTIIDDSLDIDPVSQLPTHDYKNNRELKVAMANGFETAHPSAINM-----LTEIAGDYLSNLIKTLKLH--HETNSLNRGTNVEMLQTTLLENGINRPDDL--FSYVESEFGKKTKKLQDIKQKL----ESFLRALL-- | |||||||||||||
| 4 | 7abiu | 0.07 | 0.07 | 2.92 | 0.83 | SPARKS-K | LVDEQQ--KVRTISALAIAALAEAATPYGIESFDSVLKPLWKGIRQHRGKGLAAFLKAIGYLIPLMDAEYANYYTRREFQSPDEEMKKIVLKVVKQCCTDGVEANYIKTEILPPFFKHFWQHRMALDRRNYRQLVDTTVELANKVGAAEIISRIVDDLKDE-AEQYRKMVMETIEKIMGNLGAADIDHKLEEQLIDGILYAFEQTTEDSVMLNGFGTVVNALGKRVKPYLPQICGTVLKVRQQAADLISRT | |||||||||||||
| 5 | 1aiiA | 0.13 | 0.08 | 2.92 | 0.56 | CNFpred | -----------------------------------------------------AVFDAKQLKKS-----------MKGAGTNEDALIEILTTRTS-------RQMKDISQAYYTVYKKSLGDDISSE-------TSGDFRKALLTLADGRR-DESLKVDEHLAKQDAQILYKAGWGTDEDKFTEILCLRSFPQLKLTFDE-YRNISQKDIVDSIKGELSGHFEDLLLAIVNCVRNTP-----AFLAERLHR | |||||||||||||
| 6 | 1g8xA | 0.05 | 0.04 | 1.70 | 0.83 | DEthreader | NPIHDSYHKY--LKV-KQGDSDLFLKDGVERYTAIYMVDIF------NEVAPHIAIS--A--LLITG-ESGKTRNNTERNYHIFYQLLGATAEEKKALHLAGPESDEDEFKTRQAMDQ---------------K-TALAASTVFGVVALYRLLWV-ELCINYTKLQQFFNHHMFKVEQ-EEYLK--------------------------E--KIN---W--TF--IDFGLDSQATIKTHYAGDQLRCNGV | |||||||||||||
| 7 | 1vt4I3 | 0.06 | 0.06 | 2.51 | 0.95 | MapAlign | GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG | |||||||||||||
| 8 | 6d4hA | 0.10 | 0.10 | 3.68 | 0.61 | MUSTER | GANVLT--LLQHLDSALQASRVHVYMYNRQWKLEHLCYKSGELITETGYMDQIIEYLYPCLIITPLDCFWEGAKLQSGTAYLLGKPPLRWTNFDPLEFLEELKKINYQVDSWEEMLNKAMDRPCLNPADPDCPATAPNKNSTKPLDMALVLNGGCHGLSRKYMHWQEELIVGGTVKNSTGKLVSAHA-MFQLMTPKQMYEHFKGYEYVSHINWNEDKAAAILEAWQRTYVEVVHQSVAQNSTTTLDDILKS | |||||||||||||
| 9 | 1vt4I | 0.20 | 0.18 | 5.75 | 0.85 | HHsearch | MLQKDPNWTSRSDHSNLSCKILLTTRF---KQVTDFLSAATHSMTLTPDEVKSLLLKYLDCRPQDLPRLTTNPRRLSIKHVNCDKLTTIIESLNVLEPAEYRLSVFP--PSAHIPTIL--LSLIWFDVIKSDKYSLVEKQ--PKE-------STISIPSIYLE-LKVKLENEDLIPPYLDQERMTLF--RMVFLDFRFLEQTAWNASGSILTLQQLKF----YKPYICDNDPKYKIEENLICSKYTDLLRI | |||||||||||||
| 10 | 3f1sB | 0.08 | 0.08 | 3.12 | 0.46 | CEthreader | TDGCQHFCLPGQESYTCSCAQGYRLGEDHKQCVPHDQCACGVLTSDLPWQVKLTNSEGKDFCGGVIIRENFVLTTAKCSLLHRNITVKTFNRSQDPLMIKITHVHVHMRYDADAGENDLSLLELEWPIQCPGAGLPVCTPEKDFAEHLLIPRTRGLLSGWARNLTTRPVTLVEGEECGQVLNVTVTTRTYCERSSVAAMHWMDGSVVTREHRLGSQPVGGQAHMVLVTKVSRYSLWFKQIMNA-------- | |||||||||||||
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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. |