| >Q15819 (145 residues) MAVSTGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTNYEN RIYSLKVECGPKYPEAPPSVRFVTKINMNGINNSSGMVDARSIPVLAKWQNSYSIKVVLQ ELRRLMMSKENMKLPQPPEGQTYNN |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAVSTGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTNYENRIYSLKVECGPKYPEAPPSVRFVTKINMNGINNSSGMVDARSIPVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQTYNN |
| Prediction | CCCCCCCCCHHHHHHHHHHHHHHHCCCCCSSSSSCCCCCCCCSSSSSSSSSCCCCCCCCCCSSSSSSSCCCCCCCCCCSSSSSCCCCCCCSCCCCCSSSCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCHHHHHCCC |
| Confidence | 9987666551899999999999558999829951688887734689999979999988894899999949999999986798168889832799988812568822068853709999999999974999999999767753379 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAVSTGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTNYENRIYSLKVECGPKYPEAPPSVRFVTKINMNGINNSSGMVDARSIPVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQTYNN |
| Prediction | 8455654534233302530551475334211021364654320230302040274031341303030413770244214030314230000256231012420434764421230330031024104557267343362344278 |
| 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 | CCCCCCCCCHHHHHHHHHHHHHHHCCCCCSSSSSCCCCCCCCSSSSSSSSSCCCCCCCCCCSSSSSSSCCCCCCCCCCSSSSSCCCCCCCSCCCCCSSSCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCHHHHHCCC MAVSTGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTNYENRIYSLKVECGPKYPEAPPSVRFVTKINMNGINNSSGMVDARSIPVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQTYNN | |||||||||||||||||||
| 1 | 2hlwA | 0.89 | 0.83 | 23.47 | 1.33 | DEthreader | --------VPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPP-EGQCYN | |||||||||||||
| 2 | 2q0vA | 0.47 | 0.46 | 13.26 | 3.19 | SPARKS-K | -NLYFQGIVPRSFRLLDELERGQKGVSEG-VSFGLESADDITLSNWSCTIFGQPGTVFENRIYSLTIFCDDNYPDSPPTVKFDTKIEMSCVD-NCGRVIKNNLHILKNWNRNYTIETILISLRQEMLSSANKRLPQPNEGEVY-- | |||||||||||||
| 3 | 2hlwA | 0.92 | 0.85 | 23.82 | 1.08 | MapAlign | --------VPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQ---- | |||||||||||||
| 4 | 2hlwA | 0.88 | 0.88 | 24.83 | 0.85 | CEthreader | KFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
| 5 | 2hlwA | 0.88 | 0.88 | 24.83 | 2.22 | MUSTER | KFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
| 6 | 2hlwA | 0.88 | 0.88 | 24.83 | 1.80 | HHsearch | KFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
| 7 | 2hlwA | 0.88 | 0.88 | 24.83 | 2.70 | FFAS-3D | KFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
| 8 | 2hlwA | 0.88 | 0.88 | 24.83 | 1.23 | EigenThreader | KFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
| 9 | 2a4dA | 0.91 | 0.88 | 24.61 | 3.05 | CNFpred | -----GVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYS- | |||||||||||||
| 10 | 2q0vA | 0.47 | 0.43 | 12.65 | 1.33 | DEthreader | --------VPRSFRLLDELERGQKGVS-EGVSFGLESADDITLSNWSCTIFGQPGTVFENRIYSLTIFCDDNYPDSPPTVKFDTKIEMSCVDN-CGRVIKNNLHILKNWNRNYTIETILISLRQEMLSSANKRLPQPN-EGEVY- | |||||||||||||
| ||||||||||||||||||||
|
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. |