| >P01036 (141 residues) MARPLCTLLLLMATLAGALASSSKEENRIIPGGIYDADLNDEWVQRALHFAISEYNKATE DEYYRRPLQVLRAREQTFGGVNYFFDVEVGRTICTKSQPNLDTCAFHEQPELQKKQLCSF EIYEVPWEDRMSLVNSRCQEA |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MARPLCTLLLLMATLAGALASSSKEENRIIPGGIYDADLNDEWVQRALHFAISEYNKATEDEYYRRPLQVLRAREQTFGGVNYFFDVEVGRTICTKSQPNLDTCAFHEQPELQKKQLCSFEIYEVPWEDRMSLVNSRCQEA |
| Prediction | CCCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCSSCCCCCHHHHHHHHHHHHHHHHHCCCCCCSSSSSSSSSSSSSCCCCSSSSSSSSSSSCCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSSSCCCCSSSSSSSSSCCC |
| Confidence | 986068999999999999971456666656786447899978999999999999998569875212579999999961784699999998511457777733487666855361699999999944999279877041259 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MARPLCTLLLLMATLAGALASSSKEENRIIPGGIYDADLNDEWVQRALHFAISEYNKATEDEYYRRPLQVLRAREQTFGGVNYFFDVEVGRTICTKSQPNLDTCAFHEQPELQKKQLCSFEIYEVPWEDRMSLVNSRCQEA |
| Prediction | 643313232132122100111134555431111346153737403500420054116636453224314034144334444303020303415054555537505147557354434040302233155435034451588 |
| 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 | CCCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCSSCCCCCHHHHHHHHHHHHHHHHHCCCCCCSSSSSSSSSSSSSCCCCSSSSSSSSSSSCCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSSSCCCCSSSSSSSSSCCC MARPLCTLLLLMATLAGALASSSKEENRIIPGGIYDADLNDEWVQRALHFAISEYNKATEDEYYRRPLQVLRAREQTFGGVNYFFDVEVGRTICTKSQPNLDTCAFHEQPELQKKQLCSFEIYEVPWEDRMSLVNSRCQEA | |||||||||||||||||||
| 1 | 1yvbI | 0.41 | 0.32 | 9.40 | 1.17 | DEthreader | ------------------------R--L--LGAPVPVDENDEGLQRALQFAMAEYNRASNDKYSSRVVRVISAKRQLVSGIKYILQVEIGRTTCPKSSGDLQSCEFHDE-PEAKYTTCTFVVYSIPWLNQIKLLESKCQ-- | |||||||||||||
| 2 | 6uioA | 0.30 | 0.24 | 7.30 | 2.86 | SPARKS-K | -----------------------------AQNYFGSINISNANVKQAVWFAMKEYNKESEDKYVFLVDKILHAKLQITDRMEYQIDVQISRSNCKKPLNNTENCIPQKKPELEKKMSCSFLVGALPWNGEFNLLSKECKDV | |||||||||||||
| 3 | 2ch9A | 0.30 | 0.23 | 7.11 | 1.16 | MapAlign | ------------------------------PGFPKTIKTNDPGVLQAARYSVEKFNNCTNDMFLFKESRITRALVQIVKGLKYMLEVEIGRTTCKKQHLRLDDCDFQTNHTLKQTLSCYSEVWVVPWLQHFEVPVLRCHHH | |||||||||||||
| 4 | 4n6oB | 0.32 | 0.25 | 7.48 | 0.92 | CEthreader | -------------------------------GELRDLSPDDPQVQKAAQAAVASYNMGSNSIYYFRDTHIIKAQSQLVAGIKYFLTMEMGSTDCRKTRVDLTTCPLAAGA-QQEKLRCDFEVLVVPWQNSSQLLKHNCVQM | |||||||||||||
| 5 | 1rn7A | 0.61 | 0.48 | 13.81 | 2.39 | MUSTER | ------------------------------AGGIHATDLNDKSVQRALDFAISEYNKVNKDEYYSRPLQVMAAYQQIVGGVNYYFNVKFGRTTCTKSQPNLDNCPFNDQPKLKEEEFCSFQINEVPWEDKISILNYKCRKV | |||||||||||||
| 6 | 6uioA | 0.30 | 0.24 | 7.30 | 2.10 | HHsearch | -----------------------------AQNYFGSINISNANVKQAVWFAMKEYNKESEDKYVFLVDKILHAKLQITDRMEYQIDVQISRSNCKKPLNNTENCIPQKKPELEKKMSCSFLVGALPWNGEFNLLSKECKDV | |||||||||||||
| 7 | 6uioA | 0.31 | 0.24 | 7.29 | 1.90 | FFAS-3D | -------------------------------NYFGSINISNANVKQAVWFAMKEYNKESEDKYVFLVDKILHAKLQITDRMEYQIDVQISRSNCKKPLNNTENCIPQKKPELEKKMSCSFLVGALPWNGEFNLLSKECKDV | |||||||||||||
| 8 | 2ch9A | 0.28 | 0.24 | 7.38 | 1.08 | EigenThreader | -------------------TCSQDLNSRVKPGFPKTIKTNDPGVLQAARYSVEKFNNCTNDMFLFKESRITRALVQIVKGLKYMLEVEIGRTTCKNQHLRLDDCDFQTNHTLKQTLSCYSEVWVVPWLQHFEVPVLRCHHH | |||||||||||||
| 9 | 3nx0A | 0.60 | 0.46 | 13.22 | 1.86 | CNFpred | --------------------------------GPMDASVEEEGVRRALDFAVGEYNKASNDMYHSRALQVVRARKQINAGVNYFLDVELGRTTCTKTQPNLDNCPFHDQPHLKRKAFCSFQIYAVPWQGTMTLSKSTCQDA | |||||||||||||
| 10 | 1rn7A | 0.61 | 0.48 | 13.61 | 1.17 | DEthreader | ------------------------------AGGIHATDLNDKSVQRALDFAISEYNKVNKDEYYSRPLQV-MAAYQQIVGVNYYFNVKFGRTTCTKSQPNLDNCPFNDQPKLKEEEFCSFQINEVPWEDKISILNYKCRKV | |||||||||||||
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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. |