>A0A0D9SF12 (145 residues) MNTSLSWFEQLDVLLNATDGNVVRNKQWLYPLGVSTELIGLCICFFCSSGCIFLGSPPQN STAVTPAVLWEESEIMQKELKLLQYQLSQHQELLLKQLAEGRQAQVGSWKIPRGAPFLTW SPASFSSMPRVLSKRTYSFGAPKCS |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MNTSLSWFEQLDVLLNATDGNVVRNKQWLYPLGVSTELIGLCICFFCSSGCIFLGSPPQNSTAVTPAVLWEESEIMQKELKLLQYQLSQHQELLLKQLAEGRQAQVGSWKIPRGAPFLTWSPASFSSMPRVLSKRTYSFGAPKCS |
Prediction | CCCCCCHHHHHHHHHHCCCCCHHHHHHHHSCCCCCHHHHHHHHHHHCCCCCSSCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSSSSCCCCCCCCCCCHHHHHHCCHHHHHHHHHCCCCCCC |
Confidence | 9875128999999996046524334321011334145666556521167730158974013678899999899999999999999999999999999973231120123325776434478466520416665433303688889 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MNTSLSWFEQLDVLLNATDGNVVRNKQWLYPLGVSTELIGLCICFFCSSGCIFLGSPPQNSTAVTPAVLWEESEIMQKELKLLQYQLSQHQELLLKQLAEGRQAQVGSWKIPRGAPFLTWSPASFSSMPRVLSKRTYSFGAPKCS |
Prediction | 8655251253032104135342341443223021324010100011034201323434532353134112552611464152045415523410153037356354451414442322333333235334313442343535628 |
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 | CCCCCCHHHHHHHHHHCCCCCHHHHHHHHSCCCCCHHHHHHHHHHHCCCCCSSCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSSSSCCCCCCCCCCCHHHHHHCCHHHHHHHHHCCCCCCC MNTSLSWFEQLDVLLNATDGNVVRNKQWLYPLGVSTELIGLCICFFCSSGCIFLGSPPQNSTAVTPAVLWEESEIMQKELKLLQYQLSQHQELLLKQLAEGRQAQVGSWKIPRGAPFLTWSPASFSSMPRVLSKRTYSFGAPKCS | |||||||||||||||||||
1 | 3fluA | 0.11 | 0.11 | 3.98 | 0.34 | CEthreader | GTGANNTVEAIALSQAAEKAGADYTLATSIPMIIIPNIVGVKEASGNIGSNIELINRAPEGFVVLPFMLCGGHGVITVAANAAPKLFADMCRAALQGDIALARELNDRLIPIYDTMFCEPSPAAPKWAVSALGRCEPHVRLPLVP | |||||||||||||
2 | 1ml5Z | 0.05 | 0.05 | 2.28 | 0.50 | EigenThreader | PDVWNEPERAQALGKERSSLEAVVDTLDQMKQGLEDVSGLLELAVEADDEETFNEAVAELDALEEKLAQLEFRRMASMLERMYLRWAESRRTESAVRITHHKNKDQAMKQMKAKLYELEMQKKNAEKQAMEDNKS---DIGWGSQ | |||||||||||||
3 | 2v93A1 | 0.12 | 0.10 | 3.67 | 0.48 | FFAS-3D | -NKDLTWEEIPALDKELKAKGK-------SALMFNLQEPYFTWPLIAADGGYAFKYENGKYDIKDVGV---DNAGAKAGLTFLVDLIKNKYCIAEAAFNKGETAMTGPWAWSSKVNY------GVTVLPTFKGQPSKPFVGEIM- | |||||||||||||
4 | 5voxO | 0.09 | 0.09 | 3.39 | 0.83 | SPARKS-K | LDTLIVESEELSKVDNQIGASIGKIIEILQLNETSTNAYRTLP----INNMPLENFQWQTRKFKLDKSIKDLITLISNESSQLDADVRATYANYNSAKTNLAAAERKKTGDLSVRSLFVLNSEHLTTVLVAVPKTLSKNVVPASA | |||||||||||||
5 | 2l7bA | 0.11 | 0.05 | 1.76 | 0.54 | CNFpred | -------RALMDETMKELKAYKSELEEQLTPVAETRARLSKELQAAQ-------------------ARLGADMEDVCGRLVQYRGEVQAMLG----------------------------------------------------- | |||||||||||||
6 | 5x6oC | 0.05 | 0.05 | 2.27 | 0.83 | DEthreader | NFSHILLSGILFLVSRIIPLNAQLTLTTFDLLSP-LKEVRYEAFRCWHLLVHLNE--VAIQESLY-ENHPYILDIIIIVCLIDEFLRTTPYQCYNP-HDKNQNGQFATGNLVSKIEFTRLKSYDWSIGLEANQIAKAIADPLSSK | |||||||||||||
7 | 2f6dA1 | 0.06 | 0.06 | 2.67 | 0.58 | MapAlign | -VDRTDLETFLDKQKEVSLYYLLQNIAYPEGQFNNGVPGTVIASPSTSNPDYYYEDVYNGDGSSEGNPWFLATAYAAQVPYKLAYDAKNTVADNLVTFGDSFLQVILDHINDDGSLNEQLNRYTGYSTGAYSLTWSSGALLEAIR | |||||||||||||
8 | 4gwpD | 0.15 | 0.12 | 4.18 | 0.54 | MUSTER | MS-NQALYEKLEQTRTI----SVKL----------AELINMTT--------IADRNDDDEGSFAQENSELAVATTSVMMVNNQTMQLIKNVQDLLILTRSIKEKWLLN-QIPVTEHSKVTR-FDEKQIEELLDNCIETFVAEKTT | |||||||||||||
9 | 2pffA1 | 0.16 | 0.15 | 5.07 | 0.65 | HHsearch | AGKGSIGAEVLQGLLQGGAKVVVDYYQSIYPFNQGSKQVEALIEFI----YDTEKLGWIPFAAIPEELEHIDSKSEFAHTNILRKQKSARGIEMSPNHTFGGDGMYSESKLSLETLFNRWHSESWANQLTVCGAIIGWTRGTSAN | |||||||||||||
10 | 3mkqB | 0.09 | 0.08 | 3.18 | 0.34 | CEthreader | ALEYGNLDAALDEAKKLNDSITWERLIQEALAQGNASLAEMI--------YQTQHSFDKLSFLYLVTGDVNKLSKMQNIAQTREDFGSMLLNTFYNNSTKERSSIFAEGGSLPLAYAVAKANGDEAAASAFLEQAEVDEQDVTLP | |||||||||||||
|
|
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. |