| >Q969S2 (140 residues) TCDILSEKFHRGQALEALGQAQPVCYTLLDQRYFSGLGNIIKNEALYRAGIHPLSLGSVL SASRREVLVDHVVEFSTAWLQGKFQGRPQHTQVYQKEQCPAGHQVMKEAFGPEDGLQRLT WWCPQCQPQLSEEPEQCQFS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | TCDILSEKFHRGQALEALGQAQPVCYTLLDQRYFSGLGNIIKNEALYRAGIHPLSLGSVLSASRREVLVDHVVEFSTAWLQGKFQGRPQHTQVYQKEQCPAGHQVMKEAFGPEDGLQRLTWWCPQCQPQLSEEPEQCQFS |
| Prediction | CCCCCCCCCCHHHHHHHHHCCCHHHHHHHCCCCSCCCCHHHHHHHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCSSSSSCCCCCCCCCCSCCSSSSSSSCCCCCSSSCCCCCCCCCCCCCCCCCC |
| Confidence | 99989988999999999825673999982798203775358889999928996672668999999999999999999997288887664589970689999987213146761027841386888528897555555789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | TCDILSEKFHRGQALEALGQAQPVCYTLLDQRYFSGLGNIIKNEALYRAGIHPLSLGSVLSASRREVLVDHVVEFSTAWLQGKFQGRPQHTQVYQKEQCPAGHQVMKEAFGPEDGLQRLTWWCPQCQPQLSEEPEQCQFS |
| Prediction | 83441476132630262156544014102344202202311000001214032423145144620430151024004401534443334202023456452444225431453444411022113324435754754658 |
| 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 | CCCCCCCCCCHHHHHHHHHCCCHHHHHHHCCCCSCCCCHHHHHHHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCSSSSSCCCCCCCCCCSCCSSSSSSSCCCCCSSSCCCCCCCCCCCCCCCCCC TCDILSEKFHRGQALEALGQAQPVCYTLLDQRYFSGLGNIIKNEALYRAGIHPLSLGSVLSASRREVLVDHVVEFSTAWLQGKFQGRPQHTQVYQKEQCPAGHQVMKEAFGPEDGLQRLTWWCPQCQPQLSEEPEQCQFS | |||||||||||||||||||
| 1 | 6vjiA | 0.70 | 0.63 | 17.87 | 1.33 | DEthreader | KSDILSEEFDRRQALEALKQASPVSYTLLDQRYFAGLGNIIKNEVLYLARIHPLSLGSCLTPLNLESLLDHVVSFSVGWLQKKLGKPL-HHLIYQKEQCPAGHQV-KDSFGP---FQRLTWWCPHCQPKA-E-------- | |||||||||||||
| 2 | 6vjiA2 | 0.70 | 0.64 | 18.07 | 4.15 | SPARKS-K | TSDILSEEFDRRQALEALKQASPVSYTLLDQRYFAGLGNIIKNEVLYLARIHPLSLGSCLTPLNLESLLDHVVSFSVGWLQKKLEGKPLHHLIYQKEQCPAGHQVK-DSFGPF---QRLTWWCPHCQPKAE--------- | |||||||||||||
| 3 | 3gpyA2 | 0.31 | 0.27 | 8.21 | 1.32 | MapAlign | GPEPLSPAFSPAVLAERAKTKRSVKALLLDCTVVAGFGNIYVDESLFRAGILPGRPAASLSSKEIERLHEEMVATIGEAVYVNTQGEAGHLYVYGRQPCRCGTPIEKTVVA-----GRGTHYCPRCQR------------ | |||||||||||||
| 4 | 3w0fA1 | 0.35 | 0.31 | 9.39 | 0.97 | CEthreader | ELDICSPKFSFSRAESEVKGDRMLCDVLLDQRVLPGVGNIIKNEALFDSGLHPAVKVCQLSDKQACHLVKMTRDFSILFYRCCKAGSAIHCKVYKRPNCQCHSKITVCRFGEN---SRMTYFCPHCQKH----------- | |||||||||||||
| 5 | 3twkA2 | 0.27 | 0.26 | 8.12 | 2.87 | MUSTER | GPDALLEP-TVDEFAESLAKKITIKPLLLDQGYISGIGNWIADEVLYQARIHPLQTASSLSKEQCEALHTSIKEVIEKAVE-DSSQFPSNWIFHNREKKPGKAFVDGKKIDFITAGGRTTAYVPELQKLYGKCVDKLAAA | |||||||||||||
| 6 | 6vjiA | 0.71 | 0.64 | 18.26 | 2.40 | HHsearch | TSDILSEEFDRRQALEALKQASPVSYTLLDQRYFAGLGNIIKNEVLYLARIHPLSLGSCLTPLNLESLLDHVVSFSVGWLQKKLEGKPLHHLIYQKEQCPAGHQV-KDSFGPF---QRLTWWCPHCQPKAE--------- | |||||||||||||
| 7 | 6vjiA2 | 0.65 | 0.59 | 16.72 | 1.85 | FFAS-3D | TSDILSEEFDRRQALEALKQASPVSYTLLDQRYFAGLGNIIKNEVLYLARIHPLSLGSCLTPLNLESLLDHVVSFSVGWLQKKLEGKPLHHLIYQKEQCPA----GHQVKDSFGPFQRLTWWCPHCQPKAE--------- | |||||||||||||
| 8 | 6vjiA2 | 0.71 | 0.64 | 18.26 | 1.42 | EigenThreader | TSDILSEEFDRRQALEALKQASPVSYTLLDQRYFAGLGNIIKNEVLYLARIHPLSLGSCLTPLNLESLLDHVVSFSVGWLQKKLEGKPLHHLIYQKEQCPAGHQV-KDSFGP---FQRLTWWCPHCQPKAE--------- | |||||||||||||
| 9 | 3w0fA | 0.35 | 0.31 | 9.39 | 1.68 | CNFpred | ELDICSPKFSFSRAESEVKKQRMLCDVLLDQRVLPGVGNIIKNEALFDSGLHPAVKVCQLSDKQACHLVKMTRDFSILFYRCCKSAISKHCKVYKRPNCDQCHKITVCRFGE---NSRMTYFCPHCQKH----------- | |||||||||||||
| 10 | 6vjiA2 | 0.69 | 0.62 | 17.68 | 1.33 | DEthreader | KSDILSEEFDRRQALEALKQASPVSYTLLDQRYFAGLGNIIKNEVLYLARIHPLSLGSCLTPLNLESLLDHVVSFSVGWLQKKLGKPL-HHLIYQKEQCPAGHQV-KDSFGP---FQRLTWWCPHCQPKA---E------ | |||||||||||||
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Top 10 structural analogs in PDB (as identified by
TM-align)
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Top 5 enzyme homologs in PDB
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Template proteins with similar binding site:
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| 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. |