| >Q460N3 (250 residues) MAAPGPLPAAALSPGAPTPRELMHGVAGVTSRAGRDREAGSVLPAGNRGARKASRRSSSR SMSRDNSKPCFTAYEMKIGAITFQVATGDIATEQVDVIVNSTARTFNRKSGVSRAILEGA GQAVESECAVLAAQPHRDFIITPGGCLKCKIIIHVPGGKDVRKTVTSVLEECEQRKYTSV SLPAIGTGNAGKNPITVADNIIDAIVDFSSQHSTPSLKTVKVVIFQPELLNIFYDSMKKR DLSASLNFQS |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MAAPGPLPAAALSPGAPTPRELMHGVAGVTSRAGRDREAGSVLPAGNRGARKASRRSSSRSMSRDNSKPCFTAYEMKIGAITFQVATGDIATEQVDVIVNSTARTFNRKSGVSRAILEGAGQAVESECAVLAAQPHRDFIITPGGCLKCKIIIHVPGGKDVRKTVTSVLEECEQRKYTSVSLPAIGTGNAGKNPITVADNIIDAIVDFSSQHSTPSLKTVKVVIFQPELLNIFYDSMKKRDLSASLNFQS |
| Prediction | CCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSCCSSSSSSSCCCCCCCCCSSSSCCCCCCCCCCCHHHHHHHHHCCHHHHHHHHHCCCCCCCSSSSCCCCCCCCSSSSSCCHHHHHHHHHHHHHHHHHHCCCSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCCCCSSSSSSCCHHHHHHHHHHHHHHHCCCCCCCCC |
| Confidence | 9999898854457888983455431023332224555455667865554323343445555545677876541379988989999967676154588997899988899840279999739127999998549999727996488998758999276477999999999999981993897266345777979999999999999999997699885489999689899999999999761135788789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MAAPGPLPAAALSPGAPTPRELMHGVAGVTSRAGRDREAGSVLPAGNRGARKASRRSSSRSMSRDNSKPCFTAYEMKIGAITFQVATGDIATEQVDVIVNSTARTFNRKSGVSRAILEGAGQAVESECAVLAAQPHRDFIITPGGCLKCKIIIHVPGGKDVRKTVTSVLEECEQRKYTSVSLPAIGTGNAGKNPITVADNIIDAIVDFSSQHSTPSLKTVKVVIFQPELLNIFYDSMKKRDLSASLNFQS |
| Prediction | 8565642434424463334552252154225645554554544645556565345555555344754454343342404603020120203515020000002231423331031114323521351144136264330000212403111000021343024002200420443513101000000233414263004000400250066364630430000002660151036107525764545468 |
| 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 | CCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSCCSSSSSSSCCCCCCCCCSSSSCCCCCCCCCCCHHHHHHHHHCCHHHHHHHHHCCCCCCCSSSSCCCCCCCCSSSSSCCHHHHHHHHHHHHHHHHHHCCCSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCCCCSSSSSSCCHHHHHHHHHHHHHHHCCCCCCCCC MAAPGPLPAAALSPGAPTPRELMHGVAGVTSRAGRDREAGSVLPAGNRGARKASRRSSSRSMSRDNSKPCFTAYEMKIGAITFQVATGDIATEQVDVIVNSTARTFNRKSGVSRAILEGAGQAVESECAVLAAQPHRDFIITPGGCLKCKIIIHVPGGKDVRKTVTSVLEECEQRKYTSVSLPAIGTGNAGKNPITVADNIIDAIVDFSSQHSTPSLKTVKVVIFQPELLNIFYDSMKKRDLSASLNFQS | |||||||||||||||||||
| 1 | 3kh6A | 0.97 | 0.68 | 19.06 | 1.17 | DEthreader | ---------------YF-------------------------QS--------------------------MTAYEMKIGAITFQVATGDIATEQVDVIVNSTARTFNRKSGVSRAILEGAGQAVESECAVLAAQPHRDFIITPGGCLKCKIIIHVPGGKDVRKTVTSVLEECEQRKYTSVSLPAIGTGNAGKNPITVADNIIDAIVDFSSQHSTPSLKTVKVVIFQPELLNIFYDSMKKRD-L------- | |||||||||||||
| 2 | 4abkA | 0.58 | 0.42 | 12.07 | 1.72 | SPARKS-K | ------------------------------------------------------------MFYGTVSSPDSGVYEMKIGSIIFQVASGDITKEEADVIVNSTSNSFNLKAGVSKAILECAGQNVERECSQQAQQRKNDYIITGGGFLRCKNIIHVIGGNDVKSSVSSVLQECEKKNYSSICLPAIGTGNAKQHPDKVAEAIIDAIEDFVQKGSAQSVKKVKVVIFLPQVLDVFYANMKKREG-------- | |||||||||||||
| 3 | 5iitA | 0.21 | 0.19 | 6.12 | 1.08 | MapAlign | ------DVHDLAKFSRLNYTGFQKIIKKHDKKTGFILKPVFQVENYDELVVKISQLYDIARTSGAGSDGFTVLSTKSLLGQKLQVVQADIASIDSDAVVHPTNTDFYIGGEVGNTLEKKGGKEFVEAVLELRPLEVAGAAVSAGHGLPAKFVIHCNSPELLEKTVKNCLALADDKKLKSIAFPSIGSGRNGFPKQTAAQLILKAISSYFVSTMSSSIKTVYFVLFDSESIGIYVQEMAKL---------- | |||||||||||||
| 4 | 5iitA | 0.20 | 0.19 | 6.04 | 0.66 | CEthreader | LAKFSRLNYTGFQKIIKKHDKKTGFILKPVFQVRLDSKPFFKENYDELVVKISQLYDIARTSGAGSDGFTVLSTKSLFLGQKLQVVQADIASIDSDAVVHPTNTDFYIGGEVGNTLEKKGGKEFVEAVLELRPLEVAGAAVSAGHGLPAKFVIHCNSEELLEKTVKNCLALADDKKLKSIAFPSIGSGRNGFPKQTAAQLILKAISSYFVSTMSSSIKTVYFVLFDSESIGIYVQEMAKL---------- | |||||||||||||
| 5 | 4abkA | 0.58 | 0.42 | 12.07 | 1.75 | MUSTER | ------------------------------------------------------------MFYGTVSSPDSGVYEMKIGSIIFQVASGDITKEEADVIVNSTSNSFNLKAGVSKAILECAGQNVERECSQQAQQRKNDYIITGGGFLRCKNIIHVIGGNDVKSSVSSVLQECEKKNYSSICLPAIGTGNAKQHPDKVAEAIIDAIEDFVQKGSAQSVKKVKVVIFLPQVLDVFYANMKKREG-------- | |||||||||||||
| 6 | 3vfqA | 0.20 | 0.18 | 5.89 | 2.58 | HHsearch | IAIPAISSGVFGFPLGRCVETIVSAIKENFQKGHCLKEIYLVD--VSEKTVEAFAEAVKTVFKGS---------LVSPGGLQMLLVKEGVQNAKTDVVVNSVPLDLVLSRPLSKSLLEKAGPELQEELDTVGQVSMGTVLKTSSWNLDCRYVLHVVAPEIMEDIIRECMEITESLSLKSIAFPAIGTGNLGFPKNIFAELIISEVFKFSSKNQLKTLQEVHFLLHPSENIQAFSDEFARRAN-------- | |||||||||||||
| 7 | 3kh6A | 0.98 | 0.68 | 19.05 | 2.61 | FFAS-3D | --------------------------------------------------------------------QSMTAYEMKIGAITFQVATGDIATEQVDVIVNSTARTFNRKSGVSRAILEGAGQAVESECAVLAAQPHRDFIITPGGCLKCKIIIHVPGGKDVRKTVTSVLEECEQRKYTSVSLPAIGTGNAGKNPITVADNIIDAIVDFSSQHSTPSLKTVKVVIFQPELLNIFYDSMKKRD--------- | |||||||||||||
| 8 | 5iitA | 0.21 | 0.19 | 5.99 | 1.33 | EigenThreader | TGFQKIIKKHDKKTGFILKPVFQVRLDSK-----PFFK------ENYDELVVKISQLYDIARTSGAGSDGFTVLSTKSLGQKLQVVQADIASIDSDAVVHPTNTDFYIGGEVGNTLEKKGGKEFVEAVLELRPLEVAGAAVSAGHGLPAKFVIHNSPVELLEKTVKNCLALADDKKLKSIAFPSIGSGRNGFPKQTAAQLILKAISSYFVSTMSSSIKTVYFVLFDSESIGIYVQEMAKL---------- | |||||||||||||
| 9 | 3vfqA | 0.21 | 0.18 | 5.83 | 1.68 | CNFpred | -------------PLGRCVETIVSAIKENFKDGHCLKEIYLVDV--SEKTVEAFAEAVKTVF---------KGSLVSPGGLQMLLVKEGVQNAKTDVVVNSVPLDLVLSGPLSKSLLEKAGPELQEELDTVGAVSMGTVLKTSSWNLDCRYVLHVVA-KIMEDIIRECMEITESLSLKSIAFPAIGTGNLGFPKNIFAELIISEVFKFSSKNQLKTLQEVHFLLHDHENIQAFSDEFARRA--------- | |||||||||||||
| 10 | 5iitA | 0.24 | 0.18 | 5.48 | 1.17 | DEthreader | ----------------------------------LYDART-------------------------GSDGFTVLSTKSLFGQKLQVVQADIASIDSDAVVHPTNTDFYIGGEVGNTLEKKGGKEFVEAVLELRPLEVAGAAVSAGHGLPAKFVIHCNSPVLLEKTVKNCLALADDKKLKSIAFPSIGSGRNGFPKQTAAQLILKAISSYFVSTMSSSIKTVYFVLFDSESIGIYVQEMAKL---------- | |||||||||||||
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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. |