| >Q9UPN7 (141 residues) DVPNTMLDLFFHYVFNNFLHAQVEGCVSTMLSLGPPPDSSPETPIQNPVVKHLLQQCRLV ERILTSWEENDRVQCAGGPRKGYMGHLTRVAGALVQNTEKGPNAEQLRQLLKELPSEQQE QWEAFVSGPLAETNKKNMVDL |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DVPNTMLDLFFHYVFNNFLHAQVEGCVSTMLSLGPPPDSSPETPIQNPVVKHLLQQCRLVERILTSWEENDRVQCAGGPRKGYMGHLTRVAGALVQNTEKGPNAEQLRQLLKELPSEQQEQWEAFVSGPLAETNKKNMVDL |
| Prediction | CHHHHHHHHHHCCCCHCHHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHCCHHHHHHHHHHHCHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHCHHHHHHHHHHHHHCHHHHHHHHCCCCC |
| Confidence | 848899999930875002699999999999807888888755564347999998746589999999983415531699987604599999999999998298166899999860055667789998727899875604689 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DVPNTMLDLFFHYVFNNFLHAQVEGCVSTMLSLGPPPDSSPETPIQNPVVKHLLQQCRLVERILTSWEENDRVQCAGGPRKGYMGHLTRVAGALVQNTEKGPNAEQLRQLLKELPSEQQEQWEAFVSGPLAETNKKNMVDL |
| Prediction | 842410020014132101103102300220042445754557444444102310551501420150254266344674332000010030042015217535545304520541454447545511553055236446478 |
| 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 | CHHHHHHHHHHCCCCHCHHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHCCHHHHHHHHHHHCHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHCHHHHHHHHHHHHHCHHHHHHHHCCCCC DVPNTMLDLFFHYVFNNFLHAQVEGCVSTMLSLGPPPDSSPETPIQNPVVKHLLQQCRLVERILTSWEENDRVQCAGGPRKGYMGHLTRVAGALVQNTEKGPNAEQLRQLLKELPSEQQEQWEAFVSGPLAETNKKNMVDL | |||||||||||||||||||
| 1 | 4knhA1 | 0.05 | 0.05 | 2.28 | 1.00 | DEthreader | ILTTLLVPPSVPF-PEWLGSLGIEPYVDFVFDVFRTKDIS-PLRILRLSCLDFVM-V-CLVTFNEDLILGHSNISDAMATNTYVRLH-PFSRVMEWLFNEKTSLITRAIQVMIK---ALE-LQETYLHLVRPEVLRYQGEA | |||||||||||||
| 2 | 4k6jA | 0.07 | 0.07 | 2.90 | 0.79 | CEthreader | DKVKECVDHLSRDED-EEKLVASLWGAERCLRVLESVTENQSYLIAYKDSQLIVSSAKALQHCEELIQQYNRAEDHQNVTNHVGKAVEDCMRAIIGVLLNLTDNEWGSTKTGEQD-GLIGTALNCVLQVPKYLPQEQRFDI | |||||||||||||
| 3 | 3swhA1 | 0.08 | 0.08 | 3.04 | 0.80 | EigenThreader | EVSRDFLHGALERDKKDGSVVDVFSQLNQSFIKKLECPDPQIVGHYMRRFAKTISNV-LLQYADIVSKDFASYCEKEKVPCILMNNTQQLRVQLFEAMGGKELDAEASGTLKEL----QVKLNNVLDELSHVFATSF---- | |||||||||||||
| 4 | 6xf1A2 | 0.12 | 0.09 | 3.28 | 0.66 | FFAS-3D | ----RVLELLKQY-------QNFKSILTTLIQKEESVISLQASYMGKENLKKRIAEIEIVKEEFNEHLEV-------------VDKINQVCKNLQFYLNKMKTFE--EPPFEKEANIIVDRWLDINEKTEDYYENLGR--- | |||||||||||||
| 5 | 5cwjA | 0.10 | 0.09 | 3.15 | 0.78 | SPARKS-K | QAIEDVAQLAKKSQDSEVLEEAIRVILRIAKESGS-------EEALRQAIRAVAEIAKAIRVILRIAKESGSE-----------EALRQAIRAVAEIAKEAQDLEEAIRVIRQIAEESSEEARRQAERAEEEIRRRAQ--- | |||||||||||||
| 6 | 5h7cA | 0.09 | 0.07 | 2.68 | 0.63 | CNFpred | EIVKQLAEVAKEATD-KELVIYIVKILAELAKQS----------TDSELVNEIV------KQLAEVAKEAT-----------DKELVIYIVKILAELAKQSTDSELVNEIVKQLE-ATDKELVEHIEKILEELKKQS---- | |||||||||||||
| 7 | 4knhA | 0.05 | 0.05 | 2.28 | 1.00 | DEthreader | ILTTLLVPPSVPF-PEWLGSLGIEPYVDFVFDVFRTKDIS-PLRILRLSCLDFVM-V-CLVTFNEDLILGHSNISDAMATNTYVRLH-PFSRVMEWLFNEKTSLITRAIQVMIK---ALE-LQETYLHLVRPEVLRYQGEA | |||||||||||||
| 8 | 4k6jA | 0.06 | 0.06 | 2.72 | 0.87 | MapAlign | DKVKECVDHLSDEEKLVASLWGAERCLRVLES-VTVHNPENQSYLIAYKDSQLIVSSAALQHCEELIQQYSKPLPHQNVTNHVGKAVEDCMRAIIGVLLNLTDNEWGSTKTGEQLIGTALNCVLVIRVLGLGLLINLVEYS | |||||||||||||
| 9 | 4fgvA | 0.13 | 0.12 | 4.21 | 0.55 | MUSTER | PLIDTLRTRFLEVP----FRNVTLQCLTEIGGL-QTGGPGQPHTYDEQLIKMFTEVLTTISNIIPLQMDLKATYPNSNFIQNLALFLTSFFTMHLPLIENLPNRDFLTHGHFYLDDRE-DYWLKLVQELYEEMQSLPLNDM | |||||||||||||
| 10 | 2pffB | 0.19 | 0.19 | 6.16 | 0.84 | HHsearch | QVLNLCLTEFECYLEGNDIHALAKNYITARIMAKPFDKKSNTDDYFEELR-DLYQTYVLVGDLIKFLSELTAEEPSNTPDKDYLLGVIQLAHYVVTALLGFTP-GELRSYLKGHAIAETDSWESFFVSVRKAITVLFFIGV | |||||||||||||
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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. |