| >Q9BQA9 (141 residues) MYLQVETRTSSRLHLKRADWEEAIFDKSTGKVVLKTFSLYKKLLTLFRAGHDQVVVLLHD VRDVSVEEEKVRYFGKGYMVVLRLATGFSHPLTQSAVMGHRSDVEAIAKLITSFLELHCL ESPTELSQSSDSEAGDPASQS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MYLQVETRTSSRLHLKRADWEEAIFDKSTGKVVLKTFSLYKKLLTLFRAGHDQVVVLLHDVRDVSVEEEKVRYFGKGYMVVLRLATGFSHPLTQSAVMGHRSDVEAIAKLITSFLELHCLESPTELSQSSDSEAGDPASQS |
| Prediction | CCSSSSSCCCCSSSSSHHCHHHHHHCCCCCSSSSSSSHHHHHHHHHHHCCCSSSSSSHHHHSSSSSSSSSSSSSCCCSSSSSSSCCCCCCCCCCCSSCCCCCHHHHHHHHHHHHHHHCCCCCCHHHHHCCCCCCCCCCCCC |
| Confidence | 926886146745775220246665107899199985239999988875587057786442011233401257716626999997278652244422227874189999999999852265771232221234567876789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MYLQVETRTSSRLHLKRADWEEAIFDKSTGKVVLKTFSLYKKLLTLFRAGHDQVVVLLHDVRDVSVEEEKVRYFGKGYMVVLRLATGFSHPLTQSAVMGHRSDVEAIAKLITSFLELHCLESPTELSQSSDSEAGDPASQS |
| Prediction | 642304543443130444514400144642401043141143003114543540122054035141546403212412100011244233323441332444314201510441151541753653465454547556678 |
| 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 | CCSSSSSCCCCSSSSSHHCHHHHHHCCCCCSSSSSSSHHHHHHHHHHHCCCSSSSSSHHHHSSSSSSSSSSSSSCCCSSSSSSSCCCCCCCCCCCSSCCCCCHHHHHHHHHHHHHHHCCCCCCHHHHHCCCCCCCCCCCCC MYLQVETRTSSRLHLKRADWEEAIFDKSTGKVVLKTFSLYKKLLTLFRAGHDQVVVLLHDVRDVSVEEEKVRYFGKGYMVVLRLATGFSHPLTQSAVMGHRSDVEAIAKLITSFLELHCLESPTELSQSSDSEAGDPASQS | |||||||||||||||||||
| 1 | 1v5uA | 0.09 | 0.06 | 2.47 | 0.61 | CEthreader | ---GSSGSSGRSYEGILYKARWFVLDKTKHQLRYYDHR---------MDTECKGVIDLAEVEAVAPGTPAPKTVDEKAFFDVKTT-RRVYNF----CAQDVPSAQQWVDRIQSCLSSGPSSG------------------- | |||||||||||||
| 2 | 1mu2A | 0.07 | 0.06 | 2.69 | 0.62 | EigenThreader | KDVIIIQYM-DDILIASDLEATVQKDQDNQWTYKIHQEEIGKEALVIWGRIPFHLPFVPGAETFYTDGSCNRQSKEGKAGYVTD-RGKDKVKKLEQTT--NQQAELEAFAMALTD-SGPSQYVMGIVASQPTPAHKGIGGN | |||||||||||||
| 3 | 7byjA2 | 0.11 | 0.08 | 2.84 | 0.60 | FFAS-3D | VFKATLVQAEKRSEV------TLLVGPRYGISHVIN----------TKTNLVALLADFSHVNRIEM----FSEEESLVRVELHVLDVKPITLL-----MESSDAMNLACLTAGYYRLLVDSRRSIFNMA------------ | |||||||||||||
| 4 | 7bulA1 | 0.10 | 0.07 | 2.65 | 0.79 | SPARKS-K | ---MATSSEEVLLIVKKVRQQDGALYLMAERIAWAPE----------GKDRFTISHMYADI----KCQKISPEGKAKIQLQLVLHAGDTTNFHFSNESTAVKERDAVKDLLQQLLP----KFKR----------------- | |||||||||||||
| 5 | 4ifsA | 0.06 | 0.04 | 1.54 | 0.78 | CNFpred | -------------------CITCSYK--ASSGLLYPLE--RGFIYVH---KPPVHIRFDEISFVNFARGTT--TTRSFDFEIETKQGTQYTFSSI--------EREEYGKLFDFVNAK----------------------- | |||||||||||||
| 6 | 1zvrA | 0.08 | 0.06 | 2.27 | 0.83 | DEthreader | -----------KDMAKDVTRGTLTVTN--YRLYFKSME--R-------DPPFVLDASLGVINRVEKIGGSRGE-N-SYGLETVCKDIRNLR-FA-HKPEG-RTRRSIFENLMKYAFPSN-----ELRKEYPNINPR----- | |||||||||||||
| 7 | 4ifsA | 0.08 | 0.06 | 2.52 | 0.61 | MapAlign | -GRYDIRIYPTFLHLHGKLRLFLLPHKDQRQMFFVISLDPPIKQGQTRYHFLILLFSKDEISFVNFARG--TTTTRSFDFEIETKQGTQYTF---SSIE-REEYGKLFDFVNAKLNIKN---------------------- | |||||||||||||
| 8 | 3w5mA | 0.12 | 0.12 | 4.26 | 0.53 | MUSTER | WFRRTVDLPDDITGATLAISADNVYAVSVDGAEVARTDLEADNEGWRRPAVIDVLDHVHSNNTLAVSASNASVGPAGWICVLVLTTASGEKKIFSDASWKSTDHEPADGWREPDFDDSGWPAAKVAAAWGAGPWGRVAPVA | |||||||||||||
| 9 | 4chjA | 0.11 | 0.07 | 2.57 | 0.73 | HHsearch | DTMEVLFPDGHRI------ECNLKIDRPKNFMNLTF-------------NQKVRPIQLDDIAAVLYGSKML--RNP--VVGFLASSGRAIAFSFKD----ITDAQCFVSFLDDEIKKNQE--------------------- | |||||||||||||
| 10 | 6f8eA | 0.08 | 0.06 | 2.50 | 0.57 | CEthreader | IRMKKVMQYRRALTKVVKETVKVTCSKDGEEVQWFKG---KSTAGAQDRKKPSGGFPVDKITSVKSQADN------TKVLVITVNNPQPTTY--NFTFKSPGERESWQEQIQSLMKFMSMK-------------------- | |||||||||||||
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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. |