>Q9BQL6 (146 residues) DSLLEDITDIPKLADNLKLFRPKKLLPKAFKQYWFIFKDTSIAYFKNKELEQGEPLEKLN LRGCEVVPDVNVAGRKFGIKLLIPVADGMNEMYLRCDHENQYAQWMAACMLASKGKTMAD SSYQPEVLNILSFLRMKNRNSASQVA |
Sequence |
20 40 60 80 100 120 140 | | | | | | | DSLLEDITDIPKLADNLKLFRPKKLLPKAFKQYWFIFKDTSIAYFKNKELEQGEPLEKLNLRGCEVVPDVNVAGRKFGIKLLIPVADGMNEMYLRCDHENQYAQWMAACMLASKGKTMADSSYQPEVLNILSFLRMKNRNSASQVA |
Prediction | CCCCCCCCCCCHHHCHHHHHCCCCCCCCCCSSSSSSSSCCSSSSSCCHHHCCCCCSSSSSCCCCSSSCCCCCCCCSSSSSSSSCCCCCCSSSSSSCCCHHHHHHHHHHHHHHHCCCCHHHCCCHHHHHHHHHHHHHCCCCCCCCCC |
Confidence | 95112344695143356764577654345427899996999999828555157963688548838943666777714899971479996489998199999999999999874255112212018999999999862789999999 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | DSLLEDITDIPKLADNLKLFRPKKLLPKAFKQYWFIFKDTSIAYFKNKELEQGEPLEKLNLRGCEVVPDVNVAGRKFGIKLLIPVADGMNEMYLRCDHENQYAQWMAACMLASKGKTMADSSYQPEVLNILSFLRMKNRNSASQVA |
Prediction | 85446433523404410431354411242133100003433010113475564413340404404032424377631102032337644320102043472044014103313534522464264315303410413445664648 |
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 | CCCCCCCCCCCHHHCHHHHHCCCCCCCCCCSSSSSSSSCCSSSSSCCHHHCCCCCSSSSSCCCCSSSCCCCCCCCSSSSSSSSCCCCCCSSSSSSCCCHHHHHHHHHHHHHHHCCCCHHHCCCHHHHHHHHHHHHHCCCCCCCCCC DSLLEDITDIPKLADNLKLFRPKKLLPKAFKQYWFIFKDTSIAYFKNKELEQGEPLEKLNLRGCEVVPDVNVAGRKFGIKLLIPVADGMNEMYLRCDHENQYAQWMAACMLASKGKTMADSSYQPEVLNILSFLRMKNRNSASQVA | |||||||||||||||||||
1 | 7c3mA | 0.56 | 0.49 | 14.20 | 1.17 | DEthreader | ----------PELKDHLRIFRIPPTL-KGYRQHWVVFKETTLSYYKSQDEAPGDPIQQLNLKGCEVVPDVN--GQKFCIKLLVPSPEGMSEIYLRCQDEQQYARWMAGCRLASKGRTMADSSYTSEVQAILAFLSL-QR--GS-LS | |||||||||||||
2 | 4bbkA | 0.88 | 0.73 | 20.62 | 2.40 | SPARKS-K | ----------PKLADYLKLFRA-------CKQYWFVFKDTSIAYFKNKELEQGEPIEKLNLRGCEIVPDVNVSGRKFGIKLLIPVADGMNEVYLRCDHEDQYARWMAACILASKGKTMADSSYQPEVISILSFLKMKN-------- | |||||||||||||
3 | 7c3mA | 0.56 | 0.47 | 13.61 | 0.63 | MapAlign | ----------PELKDHLRIFRIPPRKLTLYRQHWVVFKETTLSYYKSQDEAPGDPIQQLNLKGCEVVPDVNVSGQKFCIKLLVPSPEGMSEIYLRCQDEQQYARWMAGCRLASKGRTMADSSYTSEVQAILAFL------------ | |||||||||||||
4 | 4bbkA | 0.89 | 0.74 | 20.80 | 0.49 | CEthreader | ----------PKLADYLKLFR-------ACKQYWFVFKDTSIAYFKNKELEQGEPIEKLNLRGCEIVPDVNVSGRKFGIKLLIPVADGMNEVYLRCDHEDQYARWMAACILASKGKTMADSSYQPEVISILSFLKMKN-------- | |||||||||||||
5 | 2lkoA | 0.67 | 0.63 | 17.96 | 2.16 | MUSTER | GSHMGDITSIPELADYIKVFKPKKLTLKGYKQYWCTFKDTSISCYKSKEESSGTPAHQMNLRGCEVTPDVNISGQKFNIKLLIPVAEGMNEIWLRCDNEKQYAHWMAACRLASKGKTMADSSYNLEVQNILSFLKMQH-------- | |||||||||||||
6 | 2lkoA | 0.67 | 0.63 | 17.96 | 1.64 | HHsearch | GSHMGDITSIPELADYIKVFKPKKLTLKGYKQYWCTFKDTSISCYKSKEESSGTPAHQMNLRGCEVTPDVNISGQKFNIKLLIPVAEGMNEIWLRCDNEKQYAHWMAACRLASKGKTMADSSYNLEVQNILSFLKMQH-------- | |||||||||||||
7 | 2lkoA | 0.67 | 0.63 | 17.96 | 2.24 | FFAS-3D | GSHMGDITSIPELADYIKVFKPKKLTLKGYKQYWCTFKDTSISCYKSKEESSGTPAHQMNLRGCEVTPDVNISGQKFNIKLLIPVAEGMNEIWLRCDNEKQYAHWMAACRLASKGKTMADSSYNLEVQNILSFLKMQH-------- | |||||||||||||
8 | 2lkoA | 0.67 | 0.63 | 17.96 | 0.90 | EigenThreader | GSHMGDITSIPELADYIKVFKPKKLTLKGYKQYWCTFKDTSISCYKSKEESSGTPAHQMNLRGCEVTPDVNISGQKFNIKLLIPVAEGMNEIWLRCDNEKQYAHWMAACRLASKGKTMADSSYNLEVQNILSFLKMQH-------- | |||||||||||||
9 | 4f7hA | 0.68 | 0.63 | 17.94 | 2.26 | CNFpred | --ILGDITSIPELADYIKVFKPKKLTLKGYKQYWCTFKDTSISCYKSKEESSGTPAHQMNLRGCEVTPDVNISGQKFNIKLLIPVAEGMNEIWLRCDNEKQYAHWMAACRLASKGKTMADSSYNLEVQNILSFLKMQ--------- | |||||||||||||
10 | 7c3mA1 | 0.55 | 0.49 | 14.01 | 1.17 | DEthreader | ----------PELKDHLRIFRIPPTL-KGYRQHWVVFKETTLSYYKSQDEAPGDPIQQLNLKGCEVVPDVN--GQKFCIKLLVPSPEGMSEIYLRCQDEQQYARWMAGCRLASKGRTMADSSYTSEVQAILAFLSL-QR--TGS-- | |||||||||||||
|
|
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. |