| >P48651 (141 residues) MASCVGSRTLSKDDVNYKMHFRMINEQQVEDITIDFFYRPHTITLLSFTIVSLMYFAFTR DDSVPEDNIWRGILSVIFFFLIISVLAFPNGPFTRPHPALWRMVFGLSVLYFLFLVFLLF LNFEQVKSLMYWLDPNLRYAT |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MASCVGSRTLSKDDVNYKMHFRMINEQQVEDITIDFFYRPHTITLLSFTIVSLMYFAFTRDDSVPEDNIWRGILSVIFFFLIISVLAFPNGPFTRPHPALWRMVFGLSVLYFLFLVFLLFLNFEQVKSLMYWLDPNLRYAT |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCSCCCCCCSSSSSCCHHHHHHHHHHHHHHHHHSSCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHCCCCCCCC |
| Confidence | 998778876565433312345556651147874456653336999999999998763031899756779999999999999998741799863478815789999999999999999994789999999997186447789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MASCVGSRTLSKDDVNYKMHFRMINEQQVEDITIDFFYRPHTITLLSFTIVSLMYFAFTRDDSVPEDNIWRGILSVIFFFLIISVLAFPNGPFTRPHPALWRMVFGLSVLYFLFLVFLLFLNFEQVKSLMYWLDPNLRYAT |
| Prediction | 846555564454754446443442565436543241123331111233333321110122457434421220011012112111113137230332230122023111011113011001133720330031014705658 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCCCCCSCCCCCCSSSSSCCHHHHHHHHHHHHHHHHHSSCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHCCCCCCCC MASCVGSRTLSKDDVNYKMHFRMINEQQVEDITIDFFYRPHTITLLSFTIVSLMYFAFTRDDSVPEDNIWRGILSVIFFFLIISVLAFPNGPFTRPHPALWRMVFGLSVLYFLFLVFLLFLNFEQVKSLMYWLDPNLRYAT | |||||||||||||||||||
| 1 | 6krzA | 0.09 | 0.09 | 3.28 | 0.46 | CEthreader | --SEGRWRVIPYDVLPDWLKDNDYLLHGHRPPMPSFRETGNIWTHLLGFVLFLFLGILTMFMAPLQEKVVFGMFFLGAVLCLSFSWLFHTVYCHSEKVSRTFSKLAYSGIALLIMGSFVPVCVLGISAIIVAQWDRFATPK | |||||||||||||
| 2 | 6iu3A | 0.06 | 0.05 | 2.23 | 0.63 | EigenThreader | EIIRVPDTEAAEVAEILARYGPVVNALRKKDPKRALQSAFTIAIAYVLGGLVPLIPYMFIPV--ARKAVVASVILTLMALLIFGYAKGYFTDNK-------PFKSALQTALIGAIASAAAF---GMAKAVQ---SENLYFQ | |||||||||||||
| 3 | 3m71A2 | 0.17 | 0.11 | 3.72 | 0.57 | FFAS-3D | --------------------------------------RATGIVLAPAFVCVSAYLSINHGEVDTLAKILWGYGFLQLFFLLRLFPWIVEKGL---NIGLWAFSFGLASMANSATAFYHGNVLQGVSIFAFVF-------- | |||||||||||||
| 4 | 2veqA | 0.08 | 0.08 | 3.08 | 0.81 | SPARKS-K | QYLNKSSKPPLKTRRELDIFQYKVDSLEEDFRSNNSRFQKFIALFQISTVSWKLFKMYLIYYDT-ADSLLKVIHYSKVIISLIVNNFHAKSE---FFNRHPMVMQTITRVVSFISFYQIFVESAAVKQLLVDLTELTANLP | |||||||||||||
| 5 | 6f34A | 0.13 | 0.09 | 3.19 | 0.82 | CNFpred | ----------------------------------------GIGAIIGTGIFVLTGVAAAEHA-ALVLSFILSGLACVFAALCYAEFAST-VPVSGSAYTYSYATFGELIAWILGWDLILEYGVASSAVAVGWSGYFQGLLS | |||||||||||||
| 6 | 5li6A | 0.04 | 0.03 | 1.55 | 0.83 | DEthreader | --------------VT-S-MDDPRHTRIRR-LVSSGLTPRMIRRVEDDLRRRARGLLDGVEPGA-PF--DFVVEIAAELPMQMICLLMLV---ELYLFFHLLSAGAETTRNSIAGGLLALAENVRVVEPAE-HL------- | |||||||||||||
| 7 | 6wvgA | 0.06 | 0.06 | 2.46 | 0.58 | MapAlign | -----KGIDFKEDGNILGHKLEYNMGMSSLKLLKYVLF-FFNLLFWICGCCILGFGIYLLNLPSLTLGNVFVIVGSIIMVVAFLGC-MGSIKENKS-LLMSFFILLLIIVAKGLTDSIHRYTKAAWDSIQSFLPPASCP-- | |||||||||||||
| 8 | 3ixzA4 | 0.11 | 0.11 | 3.83 | 0.56 | MUSTER | FPLLCVGLRPQWENHHLQDLQDSYGQEWTFGQRLYQQYTCYTVFFISIEMCQIADVLIRKTQQGFFRNRILVIAIVFQVCIGCFLCYCPPNIFMPIRFQWWLVPMPFGLLIFVYDEIRKL--VRCCPG--SWWDQELYY-- | |||||||||||||
| 9 | 2pffB | 0.17 | 0.16 | 5.12 | 0.69 | HHsearch | TYSAETLSELIRTTLDAEKNILEWLENPSNTPDKDYLSIPISCPLIGVIQLAVVTAKFTPSETDSWESFVRKAITVLFFIGVRCYEAYPNT---SLPPS----------ILEDSLENMLSITQEQVQDYVNKVEISLVNGA | |||||||||||||
| 10 | 4jq6A | 0.06 | 0.04 | 1.90 | 0.44 | CEthreader | -----------------------------------DYVGISFWLAAAIMLASTVFFFVERSDVPVKWKTSLTVAGLVTGVAFWHYLYMRGVWIYAGETPTVFRYIDWLITVPLQIIEFYLSLVMLIGGFIGEAGLGDVVVW | |||||||||||||
| ||||||||||||||||||||
|
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. |