| >Q8NCU1 (143 residues) MAAMDTGQRADPSNPGDKEGDLQGLWQELYQLQAKQKKLKREVEKHKLFEDYLIKVLEKI PEGCTGWEEPEEVLVEATVKHYGKLFTASQDTQKRLEAFCQMIQAVHRSLESLEEDHRAL IASRSGCVSCRRSATASRSSGGS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAMDTGQRADPSNPGDKEGDLQGLWQELYQLQAKQKKLKREVEKHKLFEDYLIKVLEKIPEGCTGWEEPEEVLVEATVKHYGKLFTASQDTQKRLEAFCQMIQAVHRSLESLEEDHRALIASRSGCVSCRRSATASRSSGGS |
| Prediction | CCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCSSHHHCCCCCCCCCC |
| Confidence | 97533455689999874036899999999999999999999999962159999999998110014545614569999999999998833999999999999789999999999999987412335540000000002345899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAMDTGQRADPSNPGDKEGDLQGLWQELYQLQAKQKKLKREVEKHKLFEDYLIKVLEKIPEGCTGWEEPEEVLVEATVKHYGKLFTASQDTQKRLEAFCQMIQAVHRSLESLEEDHRALIASRSGCVSCRRSATASRSSGGS |
| Prediction | 74324554735374465544414300530462545454156426635224610240053036424537434432043005314403333551353153125445534541551465241213445213413443445456668 |
| 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 | CCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCSSHHHCCCCCCCCCC MAAMDTGQRADPSNPGDKEGDLQGLWQELYQLQAKQKKLKREVEKHKLFEDYLIKVLEKIPEGCTGWEEPEEVLVEATVKHYGKLFTASQDTQKRLEAFCQMIQAVHRSLESLEEDHRALIASRSGCVSCRRSATASRSSGGS | |||||||||||||||||||
| 1 | 6djlB | 0.07 | 0.06 | 2.27 | 1.00 | DEthreader | VD-PRIQGELEKLNQSTDDINRRETELEDARQKFRSVLVEATVKLDELVKKIG-------------------------------K--AVEDSK-PYWEARRVARQAQLEAQKATQDFQRATEVLRAAKETISLAEQRLLEDDK | |||||||||||||
| 2 | 6z9lA4 | 0.08 | 0.08 | 3.08 | 0.51 | CEthreader | LANKQKEEAKAKDQKTKDDQAVADQQTVVTTSQEKVTDAKADTAAKQADLTAKENALKDKQAATKQAQNTAQQAESDAQQARSASQQALNTAKTTQATAEKELSVHKATLANLQAVATKSTTNYEEKVRQTATAEKSLQQTKD | |||||||||||||
| 3 | 3j4aA | 0.08 | 0.08 | 3.08 | 0.53 | EigenThreader | MAEKRTGLAEDGAKSVYERLKNDRAQNCAQYTIGARGLNNLASKLMLALFPMQTWMRLTISEAKQLLSDPDGLAKVDEGLSMVERIIMNIEEYLGDLRSLENLQEAIVKMSMIPLVRVLLKQDKLERCVTAWRIANAIGIDTS | |||||||||||||
| 4 | 5lpnB | 0.08 | 0.07 | 2.72 | 0.98 | FFAS-3D | -----------------KEEEMKRF-CKAQTIQRRLNEIEAALRELEAEGVKLELALRRQSSSPEQQKKLWVGQLLQLVDKKNSLVAEEAELTVQELNLEEKQWQLDQELRGYRQAEDQVLRKLVDLVNQRDALIRF------ | |||||||||||||
| 5 | 6egcA | 0.09 | 0.08 | 3.21 | 0.88 | SPARKS-K | --TRTEIIRELERSLREQEELAKRLKELLRELERLQREVRELLREIKELVEEIEKLAREQKYLVEELKRQGNEIIRELERSLREQEELAKRLKELLRELERLQREVRELLREIKELVEEIEKLAREQKYLVEELKRQ------ | |||||||||||||
| 6 | 5xg2A | 0.09 | 0.08 | 3.16 | 0.65 | CNFpred | ---------------KRAEEEKERLKAEILTGEARLPGLRERAENLRRLVEEKRAEISELERRLSSISFELRIKLSDLEKELELARKDLEKVLAEERAVREEIEVAKRRINELDTLIERERGELAKLRGRIERLERKRDKLKK | |||||||||||||
| 7 | 7d6dA | 0.05 | 0.03 | 1.66 | 1.00 | DEthreader | ---------------------------------TDPEVY-S-SAEF-----KLALNTALFASLMLLSRALSQLAEVEEKIEQLHQEQANNDFFLLAELLSDYIRLLAIVRAAFDQRMKTWQRWQDAQATLQKKRESEARLLWA | |||||||||||||
| 8 | 6gy6A | 0.07 | 0.07 | 2.89 | 0.79 | MapAlign | LKLIGGELSDGTIAQGLQPQISSKKKLLSTTIKDLQSKIDEKNKEIDQFQKDYNKYVGLAFSGMVGGIISWAITGGIFGDKAEKARKQKNKLIDEVKDLQSQVKDKSALQTSVQNLSLSFAGIHTSMVDAEEALNHLDFMWNT | |||||||||||||
| 9 | 3na7A | 0.11 | 0.11 | 4.01 | 0.75 | MUSTER | IDSLEPLIREKRKDLDKALNDKEAKNKAILNLEEEKLALKLQVSKNEQTLQDTNAKIASIQKKMSEIKSERE--LRSLNIEEDIAKERSNQANREIENLQNEIKRKSEKQEDLKKEMLELEKLALELESLVENEVKNIKETQQ | |||||||||||||
| 10 | 4ll8E | 0.10 | 0.08 | 2.81 | 0.69 | HHsearch | ----EHMESKLLEIFERKNKKLKELEKDYSELSNRYNEQKEKMDQLSKLAKNSSAIEQSCSE-----------KLQNMEVNYNSLLESQNLYRDH---YSDEISKLNEKIGLLELELSNQNLN-------------------- | |||||||||||||
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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. |