| >Q9BTF0 (139 residues) SLASRAYIKTAGLRSTIAWAMASLADIKAGAFVLDPMCGLGTILLEAAKEWPDVYYVGAD VSDSQLLGTWDNLKAAGLEDKIELLKISVIELPLPSESVDIIISDIPFGKKFKLGKDIKS ILQEMERVLHVGGTIVLLL |
| Sequence |
20 40 60 80 100 120 | | | | | | SLASRAYIKTAGLRSTIAWAMASLADIKAGAFVLDPMCGLGTILLEAAKEWPDVYYVGADVSDSQLLGTWDNLKAAGLEDKIELLKISVIELPLPSESVDIIISDIPFGKKFKLGKDIKSILQEMERVLHVGGTIVLLL |
| Prediction | CCCCCCCCCCCCHHHHHHHHHHHHHCCCCCCSSSSCCCCCCHHHHHHHHHCCCCSSSSSSCCHHHHHHHHHHHHHHCCCCCSSSSSSSCCCCCCCCCCSSSSSSCCCCHHHHCCCCCHHHHHHHHHHHSCCCCSSSSSC |
| Confidence | 9977755687456699999999980999997899848988789999998599968999849999999999999980998873899931233999999256999758311231575899999999999708692999979 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 | | | | | | SLASRAYIKTAGLRSTIAWAMASLADIKAGAFVLDPMCGLGTILLEAAKEWPDVYYVGADVSDSQLLGTWDNLKAAGLEDKIELLKISVIELPLPSESVDIIISDIPFGKKFKLGKDIKSILQEMERVLHVGGTIVLLL |
| Prediction | 7456243334221232023001411715542300000021120012004334603000031256005303620573627430311300035041644200000010221421443731540040014003432100003 |
| 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 | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCCCCCCCCHHHHHHHHHHHHHCCCCCCSSSSCCCCCCHHHHHHHHHCCCCSSSSSSCCHHHHHHHHHHHHHHCCCCCSSSSSSSCCCCCCCCCCSSSSSSCCCCHHHHCCCCCHHHHHHHHHHHSCCCCSSSSSC SLASRAYIKTAGLRSTIAWAMASLADIKAGAFVLDPMCGLGTILLEAAKEWPDVYYVGADVSDSQLLGTWDNLKAAGLEDKIELLKISVIELPLPSESVDIIISDIPFGKKFKLGKDIKSILQEMERVLHVGGTIVLLL | |||||||||||||||||||
| 1 | 6uv6A | 0.24 | 0.23 | 7.17 | 1.50 | DEthreader | --LSDPFAGLGAAADRLTDQLIARLPVVRDHRVLDVGCGVGKPALRLAGDLG-VRVVGVSISEAQIGIANEAARAAGLADRVSFRYADAMRLPFPDASFDGVWAMESLH--H-MP-DRLQALREIARVLRHGGVLSIAD | |||||||||||||
| 2 | 3tmaA2 | 0.31 | 0.30 | 9.14 | 1.47 | SPARKS-K | --RFPKAALRGSLTPVLAQALLRLADARPGMRVLDPFTGSGTIALEAASTLPTSPVYAGDLDEKRLGLAREAALASGLS-WIRFLRADARHLPRFFPEVDRILANPPHGLKEGLFHLYWDFLRGALALLPPGGRVALLT | |||||||||||||
| 3 | 6uv6A | 0.24 | 0.22 | 6.94 | 0.45 | MapAlign | ------FAGLGAGNDRLTDQLIARLPVVRDHRVLDVGCGVGKPALRLAGDL-GVRVVGVSISEAQIGIANEAARAAGLADRVSFRYADAMRLPFPDASFDGVWAMESL----HHMPDRLQALREIARVLRHGGVLSIAD | |||||||||||||
| 4 | 5gm1A | 0.24 | 0.23 | 7.17 | 0.31 | CEthreader | PQDMELVTMSSQAQDRYTDYLIETLDPKAGQHLLDIGCGTGRTALKAARQR-GIAVTGVAVSKEQIAAANRLAAGHGLTERLTFEVADAMRLPYEDESFDCAWAIESL-----CHMDRAKALGEAWRVLKPGGDLLVLE | |||||||||||||
| 5 | 6uakA | 0.20 | 0.19 | 6.20 | 1.09 | MUSTER | NPEFLERTRMFLIQKELYPLVRNWCGVKDNVRLLDVGCGTGYFTRLLVSGDEDVSAVGIDMEEPFIEYAREKAEELGL--PAEFIIGDALALPFEDNTFDIVTS----HTFLTSVPDPEKAMSEMKRVVKPGGIISSVT | |||||||||||||
| 6 | 6zxvA | 0.30 | 0.29 | 8.74 | 0.64 | HHsearch | RPDRRPFLMPSAIKPKLARALVNLTGVLEGETLLDPMCGTGSFLIEAGLM--GINPIGIDFIEKIVRGCRVNLEYYGIEG--SVLLGDAKNLPLRDESVRGIATDYPYLRSTKAAGTLSKTSEEFERVLKKGGRAAIVT | |||||||||||||
| 7 | 3tmaA2 | 0.32 | 0.30 | 9.09 | 1.73 | FFAS-3D | -------ALRGSLTPVLAQALLRLADARPGMRVLDPFTGSGTIALEAASTGPTSPVYAGDLDEKRLGLAREAALASGLS-WIRFLRADARHLPRFFPEVDRILANPPHGLKEGLFHLYWDFLRGALALLPPGGRVALL- | |||||||||||||
| 8 | 4iv0A | 0.16 | 0.15 | 5.04 | 0.42 | EigenThreader | YEFIFGEDYISSGGIIATTKILSDIQLDANSKVLDIGSGLGGGCKYINEKYG-AHVHGVDICEKMVTIAKLRN---QDKAKIEFEAKDILKKDFPESTFDMIYSRDSIL--HLSYADKKMLFEKCYKWLKPNGILLITD | |||||||||||||
| 9 | 6uvqA | 0.26 | 0.23 | 7.11 | 1.45 | CNFpred | ----------AEAADRLTDQLIARLPVVRDHRVLDVGCGVGKPALRLAGDL-GVRVVGVSISEAQIGIANEAARAAGLADRVSFRYADAMRLPFPDASFDGVWAMESLHHMP----DRLQALREIARVLRHGGVLSIAD | |||||||||||||
| 10 | 4pneA | 0.20 | 0.19 | 6.00 | 1.33 | DEthreader | --TPLLACASWQAADRLTDLVAERTVLDGGVRLLDVGCGTGQPALRVARDNA-IQITGITVSQVQVAIAADCARERGLSHRVDFSCVDAMSLPYPDNAFDAAWAMQSLL--EMS--EPDRAIREILRVLKPGGILGVTE | |||||||||||||
| ||||||||||||||||||||
|
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, 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. |