| >Q5MCW4 (142 residues) EVLRRHWQGEIWGVDEHQKNQDRLLRQVEVKFQKTLTEEKGNECQKKFANVFPLNSDFFP SRHNLYEYDLFGKCLEHNFDCHNNVKCLMRKEHCEYNEPVKSYGNSSSHFVITPFKCNHC GKGFNQTLDLIRHLRIHTGEKP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EVLRRHWQGEIWGVDEHQKNQDRLLRQVEVKFQKTLTEEKGNECQKKFANVFPLNSDFFPSRHNLYEYDLFGKCLEHNFDCHNNVKCLMRKEHCEYNEPVKSYGNSSSHFVITPFKCNHCGKGFNQTLDLIRHLRIHTGEKP |
| Prediction | CCCHHHCCCCCCCCCCCCCCCCCHHCHCHCHSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSCCCCCCHHHCCCSCCCCCSSCCCCCCSSCCCCCCCCCCCSCCCCCCCSSCCCCCHHHHHCCCCCCCC |
| Confidence | 9431106887534211013324100010211102326887835586516754551234238999821688887534413202311211488882268887640456651687881268988750442221332123379797 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | EVLRRHWQGEIWGVDEHQKNQDRLLRQVEVKFQKTLTEEKGNECQKKFANVFPLNSDFFPSRHNLYEYDLFGKCLEHNFDCHNNVKCLMRKEHCEYNEPVKSYGNSSSHFVITPFKCNHCGKGFNQTLDLIRHLRIHTGEKP |
| Prediction | 8334632745426166347446421343134133213443224034304641404142303454325174113203441414413211335332415613331544341413331536742230334141441323136648 |
| 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 | CCCHHHCCCCCCCCCCCCCCCCCHHCHCHCHSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSCCCCCCHHHCCCSCCCCCSSCCCCCCSSCCCCCCCCCCCSCCCCCCCSSCCCCCHHHHHCCCCCCCC EVLRRHWQGEIWGVDEHQKNQDRLLRQVEVKFQKTLTEEKGNECQKKFANVFPLNSDFFPSRHNLYEYDLFGKCLEHNFDCHNNVKCLMRKEHCEYNEPVKSYGNSSSHFVITPFKCNHCGKGFNQTLDLIRHLRIHTGEKP | |||||||||||||||||||
| 1 | 4txyA | 0.09 | 0.08 | 2.97 | 1.00 | DEthreader | RMGKLVLTDEKNNLKALRKIIRLRTRDVFEEAKGIAKAVKATFYEMDRIGLLILLVDASSLVANWKIEE-KTH-I--DVP---------E--NCKHLRKVCRKARDWPSLMATILH-D-GETMKALERLPEILSSAESADEK | |||||||||||||
| 2 | 2i13A | 0.22 | 0.20 | 6.23 | 3.41 | SPARKS-K | -------FSRSDHLAEHQRTHKPYKKSFSDRHQRTHTGEKPYKC-PECGKSFSQRANRTHTGEKPYACPECGKSFSQLAHLRAHQRTHTGEKPYKCPECGKSFSRERTHTGEKPYKCPECGKSFSRRDALNVHQRTH----- | |||||||||||||
| 3 | 5v3gD | 0.14 | 0.13 | 4.58 | 0.84 | MapAlign | -----SEKPYVCRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGRGFRDKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYVCRECGRGFSWQSVLTGEKPYVCRECGRGFRDKSNLLSHQRTHTGERN | |||||||||||||
| 4 | 5v3jE | 0.23 | 0.23 | 7.08 | 0.59 | CEthreader | TGEKPHKGKAFRYDTQLSLHLVYSCASQLALHQMSHTGEKPHECGKGFISDSHLLRHSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKP | |||||||||||||
| 5 | 5v3jE | 0.23 | 0.23 | 7.08 | 2.25 | MUSTER | TQLSLHLLTHAGAFECKDCDKVYSCASQLALHQMSHTGEKPHKCGKGFISDSHLRHQSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCQKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKP | |||||||||||||
| 6 | 5v3jE | 0.22 | 0.22 | 6.89 | 1.37 | HHsearch | KECGKAFMRYDTQLSLHLLTHGARRFECKALHQMSHTGEKPHKC-KECGKGFILLRHSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKPYKCKECGKSFTCTKVHTGDRPHKCKECGKAFIRRSELTHHERSHSGEKP | |||||||||||||
| 7 | 5v3gD | 0.21 | 0.20 | 6.46 | 1.56 | FFAS-3D | -HQRTHTGEKPYVCRECGRGFRD--KSHLLSHQRTHTGEKPYECGRGFRDKSNLLSHRTHTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGFRHQRTHTGEKPYVCRECGRGFRNKSHLLRHQRTHT---- | |||||||||||||
| 8 | 5v3gD | 0.15 | 0.15 | 4.96 | 0.75 | EigenThreader | PGSEKPYRECGRGFSNKSHLLRHQRTHTGEKPYVCRECGR----GFR-DKSHLLSHQRTHTGEKPYVCRECGRGFRDKSNLLSHQRTHTGEKPYRECGRGFSWQSVLLRHQEKPYVCRECGRGFRDKSNLLSHQRTHTGEKP | |||||||||||||
| 9 | 5v3mC | 0.27 | 0.22 | 6.71 | 5.18 | CNFpred | --------------------------SHLLRHQRIHTGEKPHKCGKAFRYDTQLSLHLLHAGARRFECKDCDKVYSCASQLALHQMSHTGEKPHKCKECGKGFISDSVHTGETPYKCKECGKGFRRGSELARHQRAHSGDKP | |||||||||||||
| 10 | 4xj6A | 0.09 | 0.08 | 2.96 | 1.00 | DEthreader | SISKLKLSTESDKLKALRQIVRERTRDVFQEARQVAIDVRALTFEMERIGLLLLLVDTSSLEANWIYEK--TH-------IDVP--P--E--NCGHLRSVCRKADAWPLMAVILEH-D-TGTMKIARELYGILLAAEQSE-- | |||||||||||||
| ||||||||||||||||||||
|
Top 10 structural analogs in PDB (as identified by
TM-align)
|
|
Top 5 enzyme homologs in PDB
|
Template proteins with similar binding site:
|
| 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. |