>Q13404 (147 residues) MAATTGSGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIY ENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVV LQELRRLMMSKENMKLPQPPEGQCYSN |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MAATTGSGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN |
Prediction | CCCCCCCCCCCHHHHHHHHHHHHHHHCCCCCSSSSSCCCCCCCCSSSSSSSSSCCCCCCCCCCSSSSSSSCCCCCCCCCCSSSSCCCCCCCCSCCCCCSSSCCCCCHHHCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCHHHHHCCC |
Confidence | 998989876233999999999999548999849962688988854699999979999987893999999959999999985897289888970799986522203432178741619999999999973999999899678863279 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MAATTGSGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN |
Prediction | 754446642433244303511551475334201021364764330240302040374032351303040403770244214130324230000246334234400420561423240330031024004545376333462354278 |
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 | CCCCCCCCCCCHHHHHHHHHHHHHHHCCCCCSSSSSCCCCCCCCSSSSSSSSSCCCCCCCCCCSSSSSSSCCCCCCCCCCSSSSCCCCCCCCSCCCCCSSSCCCCCHHHCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCHHHHHCCC MAATTGSGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||||||||
1 | 2hlwA | 0.92 | 0.87 | 24.46 | 1.33 | DEthreader | ----CKGVKVP-RNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPP--EGQC- | |||||||||||||
2 | 2q0vA | 0.49 | 0.46 | 13.44 | 3.21 | SPARKS-K | ---NLYFQGIVPRSFRLLDELERGQKGVSEG-VSFGLESADDITLSNWSCTIFGQPGTVFENRIYSLTIFCDDNYPDSPPTVKFDTKIEMSCVD-NCGRVIKNNLHILKNWNRNYTIETILISLRQEMLSSANKRLPQPNEGEVY-- | |||||||||||||
3 | 2hlwA | 1.00 | 0.92 | 25.71 | 1.11 | MapAlign | ----------VPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCY-- | |||||||||||||
4 | 2hlwA | 0.95 | 0.95 | 26.71 | 0.85 | CEthreader | PRKFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
5 | 2hlwA | 0.95 | 0.95 | 26.71 | 2.25 | MUSTER | PRKFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
6 | 2hlwA | 0.95 | 0.95 | 26.71 | 2.00 | HHsearch | PRKFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
7 | 2hlwA | 0.95 | 0.95 | 26.71 | 2.74 | FFAS-3D | PRKFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
8 | 2hlwA | 0.95 | 0.95 | 26.71 | 1.25 | EigenThreader | PRKFHCKGVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYSN | |||||||||||||
9 | 2a4dA | 1.00 | 0.95 | 26.48 | 3.14 | CNFpred | -------GVKVPRNFRLLEELEEGQKGVGDGTVSWGLEDDEDMTLTRWTGMIIGPPRTIYENRIYSLKIECGPKYPEAPPFVRFVTKINMNGVNSSNGVVDPRAISVLAKWQNSYSIKVVLQELRRLMMSKENMKLPQPPEGQCYS- | |||||||||||||
10 | 2q0vA | 0.47 | 0.44 | 12.69 | 1.33 | DEthreader | --FQ----GIVPRSFRLLDELERGQKGVSE-GVSFGLESADDITLSNWSCTIFGQPGTVFENRIYSLTIFCDDNYPDSPPTVKFDTKIEMSCVDN-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, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. In preparation, 2020. |