| >Q9BQA5 (142 residues) VACPTCGGMFANNTKFLDHIRRQTSLDQQHFQCSHCSKRFATERLLRDHMRNHVNHYKCP LCDMTCPLPSSLRNHMRFRHSEDRPFKCDCCDYSCKNLIDLQKHLDTHSEEPAYRCDFEN CTFSARSLCSIKSHYRKVHEGD |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | VACPTCGGMFANNTKFLDHIRRQTSLDQQHFQCSHCSKRFATERLLRDHMRNHVNHYKCPLCDMTCPLPSSLRNHMRFRHSEDRPFKCDCCDYSCKNLIDLQKHLDTHSEEPAYRCDFENCTFSARSLCSIKSHYRKVHEGD |
| Prediction | CCCCCCCCSSCCCCCHHHHCCCCCCCCCCCCCCCCCCCSSCCCCCCHHHHCCCCCCSSCCCCCCSCCCCCCHHCHCCCCCCCCCCSCCCCCCCSSCCCCCCHHHHCCCCCCCCSSCCCCCCCCSCCCHHHHHHHHHCCCCCC |
| Confidence | 9678776641443541111013589998781269887742553440122130360605497877525534400101235578878316988774055344101203346888821788887432034314777720146898 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | VACPTCGGMFANNTKFLDHIRRQTSLDQQHFQCSHCSKRFATERLLRDHMRNHVNHYKCPLCDMTCPLPSSLRNHMRFRHSEDRPFKCDCCDYSCKNLIDLQKHLDTHSEEPAYRCDFENCTFSARSLCSIKSHYRKVHEGD |
| Prediction | 7547454340344241544222123553341537454340234341444331412414364543303442414443214033333154735434034425154433143123314365661330144443044133432568 |
| 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 | CCCCCCCCSSCCCCCHHHHCCCCCCCCCCCCCCCCCCCSSCCCCCCHHHHCCCCCCSSCCCCCCSCCCCCCHHCHCCCCCCCCCCSCCCCCCCSSCCCCCCHHHHCCCCCCCCSSCCCCCCCCSCCCHHHHHHHHHCCCCCC VACPTCGGMFANNTKFLDHIRRQTSLDQQHFQCSHCSKRFATERLLRDHMRNHVNHYKCPLCDMTCPLPSSLRNHMRFRHSEDRPFKCDCCDYSCKNLIDLQKHLDTHSEEPAYRCDFENCTFSARSLCSIKSHYRKVHEGD | |||||||||||||||||||
| 1 | 6lewA | 0.03 | 0.03 | 1.70 | 1.00 | DEthreader | LVLAHGLTPVVAKALEVQLLLTPQQV-VQLLL----LQVVAAAGGQANGKQALTKLETVLVLCVVASNNGGKQALETVQRLLVLQRLLVLCQPVVAGKQALETVQRLLPVLHEVAQ---SRPLNLVACGGRPALDAVKKLEH | |||||||||||||
| 2 | 2i13A | 0.30 | 0.28 | 8.54 | 4.42 | SPARKS-K | YKCPECGKSFSDKKDLTRHQRTHTG--EKPYKCPECGKSFSQRANLRAHQRTHEKPYACPECGKSFSQLAHLRAHQRTHTG-EKPYKCPECGKSFSREDNLHTHQRTHTGEKPYKCPECGK--SFSRRDALNVHQRTH---- | |||||||||||||
| 3 | 5v3gD | 0.28 | 0.27 | 8.18 | 1.03 | MapAlign | YVCRECGRGFSNKSHLLRHQRTH--TGEKPYVCRECGRGFRDKSHLLSHQRTHEKPYVCRECGRGFRDKSNLLSHQRT-HTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRE--CGRGFRDKSNLLSHQRTHTGE- | |||||||||||||
| 4 | 5v3gD | 0.28 | 0.27 | 8.19 | 0.80 | CEthreader | YVCRECGRGFSNKSHLLRHQRTHTG--EKPYVCRECGRGFRDKSHLLSHQRTHTKPYVCRECGRGFRDKSNLLSHQR-THTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECG--RGFRDKSNLLSHQRTHTGEK | |||||||||||||
| 5 | 5v3jE | 0.27 | 0.25 | 7.79 | 2.96 | MUSTER | HKCKECGKGFISDSHLLRHQSVHTG--ETPYKCKECGKGFRRGSELARHQRAHSGDYKCKECGKSFTCTTELFRHQKV-HTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKEC--GKTFGRGSELSRHQKIHT--- | |||||||||||||
| 6 | 5v3jE | 0.28 | 0.27 | 8.17 | 1.55 | HHsearch | HKCKECGKGFISDSHLLRHQSVHTG--ETPYKCKECGKGFRRGSELARHQRAHSKPYKCKECGKSFTCTTELFRHQKV-HTGDRPHKCKECGKAFIRRSELTHHERSHSGEKPYECKE--CGKTFGRGSELSRHQK-IHT-- | |||||||||||||
| 7 | 5v3gD | 0.30 | 0.28 | 8.55 | 1.68 | FFAS-3D | --CRECGRGFSNKSHLLRHQRTHTG--EKPYVCRECGRGFRDKSHLLSHQRTHTGEYVCRECGRGFRDKSNLLSHQRT-HTGEKPYVCRECGRGFSWQSVLLRHQRTHTGEKPYVCRECGRGF--RDKSNLLSH-QRTHTGE | |||||||||||||
| 8 | 6wmiA | 0.28 | 0.26 | 7.98 | 1.18 | EigenThreader | LKCTVEDRTFVWPAHFKYHLKTHRN--DRSFICPACGKSFYVLQRLKVHMRTHEKPFHESGCGKQFTTAGNLKNHR-RIHTGEKPFEAQGCGRSFAEYSSLRKHLVVHSGEKPHQCQV--CGKTFSQSGSRNVHMRKHH--- | |||||||||||||
| 9 | 5t0uA | 0.30 | 0.29 | 8.76 | 4.95 | CNFpred | HKCHLCGRAFRTVTLLRNHLNTHT--GTRPHKCPDCDMAFVTSGELVRHRRYHEKPFKCSMCDYASVEVSKLKRHIRSHT-GERPFQCSLCSYASRDTYKLKRHMRTHSGEKPYECYICHARFTQ--SGTMKMHILQKHTEN | |||||||||||||
| 10 | 3ugmA1 | 0.07 | 0.07 | 2.85 | 0.83 | DEthreader | LLC--AHGLQVVIASLVVQVAITPAQVVIALT---QVAIASNGGGSNNGGGGGKQATVLVLLPVVAIGKQALETVQRLLPLCDHQLLCQGLTQDVVAKALEVQ-LLTPDQVLVQRLL-PVLCLLVVASGGKQALETVQRLPV | |||||||||||||
| ||||||||||||||||||||
|
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. |