| >Q6QNY1 (142 residues) MAAAAEGVLATRSDEPARDDAAVETAEEAKEPAEADITELCRDMFSKMATYLTGELTATS EDYKLLENMNKLTSLKYLEMKDIAINISRNLKDLNQKYAGLQPYLDQINVIEEQVAALEQ AAYKLDAYSKKLEAKYKKLEKR |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAAAEGVLATRSDEPARDDAAVETAEEAKEPAEADITELCRDMFSKMATYLTGELTATSEDYKLLENMNKLTSLKYLEMKDIAINISRNLKDLNQKYAGLQPYLDQINVIEEQVAALEQAAYKLDAYSKKLEAKYKKLEKR |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCC |
| Confidence | 9652014666778899877654456543467433589999999999999999999998999999999999999999999999999999999999999999999999999999999999999999999999999999998709 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAAAEGVLATRSDEPARDDAAVETAEEAKEPAEADITELCRDMFSKMATYLTGELTATSEDYKLLENMNKLTSLKYLEMKDIAINISRNLKDLNQKYAGLQPYLDQINVIEEQVAALEQAAYKLDAYSKKLEAKYKKLEKR |
| Prediction | 6554476456465744565564454455445654641450055015302520433152135215003401530254055145305414531540363165145115404513641550350044025205402531552578 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCC MAAAAEGVLATRSDEPARDDAAVETAEEAKEPAEADITELCRDMFSKMATYLTGELTATSEDYKLLENMNKLTSLKYLEMKDIAINISRNLKDLNQKYAGLQPYLDQINVIEEQVAALEQAAYKLDAYSKKLEAKYKKLEKR | |||||||||||||||||||
| 1 | 6jlbA | 0.09 | 0.08 | 2.98 | 1.17 | DEthreader | ----------------IDRVRSLETENAGLRLRITESEEVVSREVSGIKAAYEAELGDARKTLDSVAKERARLQLELSKVREEFKELKARNTKKEGDLIAAQARLKDLEALLNSKEAALSTALSEKRTLEGELHDLRGQVAK | |||||||||||||
| 2 | 2tmaA | 0.09 | 0.09 | 3.46 | 0.39 | CEthreader | GMKVIESRAQKDEEKMEIQEIQLKEAKHIAE-DADRKYEEVARKLVIIESDLERAEERAELSEGKCAELEEEIKTVTNNLKSLEAQAEKYSQKEDKYEEEIKVLSDKLKEAETRAEFAERSVTKLEKSIDDLEDELYAQKLK | |||||||||||||
| 3 | 7nepP | 0.11 | 0.11 | 4.04 | 0.53 | EigenThreader | RIQLVEEELDRAQERLATALQKLEEAEKAADESERGMKVIESRAQKDEEKMEIQEIQLKEAKHIAEDADRKYEEVARKLVIIESDLERAEERAELSEGKCAELEEELKTVTNNLKSLEAQAEKYSQKEDKYEEEIKVLSDKL | |||||||||||||
| 4 | 5n77A2 | 0.14 | 0.12 | 4.07 | 0.98 | FFAS-3D | -------------------ETKIEQLADEIENIYSDLEQLSRVIMEG---HQGDEYDEALSTLAELEDIGWKVRLCLMDTQRALNFLVRKARLPGGQLEQAREILRDIESLLPHNESLFQKVNFLQAAMGFINIEQNRIIK- | |||||||||||||
| 5 | 4e40A1 | 0.14 | 0.13 | 4.58 | 0.94 | SPARKS-K | ----VSIASGILLRPAVIRNATTEFSRKKSEDILAKGGAAVERASAAVDRVVRKAAAVAHHALEHVKEEVEIVAKKVNEIIELTAGATEHAKGAKANGDTFQSILTSLDNLDKDVKSVEQRAEELETALEKAERQLEKAEKA | |||||||||||||
| 6 | 5j1iA | 0.11 | 0.08 | 3.04 | 0.59 | CNFpred | ---------------------------------RERVAQLLERAVLAQTDVRQRELEQLGRQLRYYRESADPLGAWLQDARRRQEQIQA-SQAVREQLRQEQALLEEIERHGEKVEECQRFAKQYINAIKDYELQLVTYKAQ | |||||||||||||
| 7 | 6f1tX | 0.11 | 0.10 | 3.59 | 1.17 | DEthreader | ---------E-RENEGWEGVSELETDVKQLQDELERQQLHLREADREKTRAVQELSEQNQRLLDQLSRASEVERQLSMQVHALKEDFREKNSSTNQHIIRLESLQAEIKMLSDRKRELEHRLSATLEENDLLQGTVEELQRV | |||||||||||||
| 8 | 1ik9A | 0.07 | 0.07 | 2.89 | 0.58 | MapAlign | SGFVITLTDGHSAWTGTVSESEISQEADDMAMEKGKYVGELRKALLENPAEVIRELIAYALDTIAENQAKNEHLQKENERLLRDWNDVQGRFEKAVSAKEALETDLYKRFILVLNEKKTKIRSLHNKLLNAAQEREKDIK-- | |||||||||||||
| 9 | 2otoB | 0.07 | 0.07 | 2.87 | 0.71 | MUSTER | ----AANNPAIQNIRLRHENKDLKARLE-NAEVAGRDFKRAEELEKAKQALEDQRKDLETKLKELQQDYDLAKESTSWDRQRLEKELEEKKEALELAIDQASRDYHRATALEKELEEKKKALELAIDQASQDYNRANVLEKE | |||||||||||||
| 10 | 6gaoA1 | 0.17 | 0.12 | 3.95 | 0.60 | HHsearch | --------------------------------HMEEIKKQVQVNVDD--------IRAANIKLDGLGRQIADISNSISTIESRLGEMDNRLVGISSQVTQLSNSVDRINAVEPRVDSLDTVTSNLTGRTSTLEADVGSLRTE | |||||||||||||
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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. |