| >Q96ID5 (141 residues) MRTAPSLRRCVCLLLAAILDLARGYLTVNIEPLPPVVAGDAVTLKCNFKTDGRMREIVWY RVTDGGTIKQKIFTFDAMFSTNYSHMENYRKREDLVYQSTVRLPEVRISDNGPYECHVGI YDRATREKVVLASGNIFLNVM |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRTAPSLRRCVCLLLAAILDLARGYLTVNIEPLPPVVAGDAVTLKCNFKTDGRMREIVWYRVTDGGTIKQKIFTFDAMFSTNYSHMENYRKREDLVYQSTVRLPEVRISDNGPYECHVGIYDRATREKVVLASGNIFLNVM |
| Prediction | CCCCCCHHHHHHHHHHHHHHHCCCSSSSSSCCCCCSSCCCCSSSSSSSSCCCCCCSSSSSSSCCCCCCSSSSSSSCCCCCCCCCCCCCCCSSSSSSCCCSSSSCCCCHHHCSSSSSSSSSCCCCCSSSSSSSSCSSSSSSC |
| Confidence | 987773168989999999973213068762798644168338997589748985079999986999830799996045677633243410047851341489857552225799999995588851489994047999859 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MRTAPSLRRCVCLLLAAILDLARGYLTVNIEPLPPVVAGDAVTLKCNFKTDGRMREIVWYRVTDGGTIKQKIFTFDAMFSTNYSHMENYRKREDLVYQSTVRLPEVRISDNGPYECHVGIYDRATREKVVLASGNIFLNVM |
| Prediction | 755334332111332231133142434144544551344451405141535443330301134674634330223344354555447515432524453404046043415130201012355444430101344140335 |
| 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 | CCCCCCHHHHHHHHHHHHHHHCCCSSSSSSCCCCCSSCCCCSSSSSSSSCCCCCCSSSSSSSCCCCCCSSSSSSSCCCCCCCCCCCCCCCSSSSSSCCCSSSSCCCCHHHCSSSSSSSSSCCCCCSSSSSSSSCSSSSSSC MRTAPSLRRCVCLLLAAILDLARGYLTVNIEPLPPVVAGDAVTLKCNFKTDGRMREIVWYRVTDGGTIKQKIFTFDAMFSTNYSHMENYRKREDLVYQSTVRLPEVRISDNGPYECHVGIYDRATREKVVLASGNIFLNVM | |||||||||||||||||||
| 1 | 1moeA | 0.13 | 0.11 | 3.95 | 1.17 | DEthreader | VDGFLHYRASNLESGIPVRF--G-EVQLQQSGAELVEPGASVKLSCTASGFNKDTYMHWVKQRPE-QGLEWIGRIDNGNSK-Y-VPK-FQGKATITATAYLQLTSLTSEDTAVYYCAPFSAYWGGTSVTVS----S----- | |||||||||||||
| 2 | 1dn0D1 | 0.12 | 0.09 | 3.26 | 1.00 | SPARKS-K | ------------------------EVQLQQWGAGLLKPSETLSLTCAVYGSFSDYYWSWIRQPPGKGLEWIGEINHSGSTNYNPSLKSRVTISVDTNQFSLKLSSVTAADTAVYYCARPPHDTSGTLVTVSSG-------- | |||||||||||||
| 3 | 6h6zC | 0.13 | 0.10 | 3.43 | 0.45 | MapAlign | ------------------------QVQLQESGGGLVMTGGSLRLSCAVSGRTDVSVMAWFRQAPGKERE-FVSGMRWSGMTTY-SADSVKDRFTISRTVYLQMNSLKPEDTAVYYCAARSRYWGGTQVTVSS--------- | |||||||||||||
| 4 | 4f80A | 0.20 | 0.16 | 5.21 | 0.39 | CEthreader | ------------------------QFSVLGPGPILAMVGEDADLPCHLFPTMSAMELKWVSSSL----RQVVNVYADGKEVEDRQSAPYRGRTSILRKAALRIHNVTASDSGKYLCYFQDYEKALVELKVAALGSDLHVDV | |||||||||||||
| 5 | 2qhrL1 | 0.13 | 0.11 | 3.69 | 1.04 | MUSTER | ------------------------QLVLTQSSSASFSLGASAKLTCTLSRQHSTYTIEWYQQQPLKPPRYVMELKKDGSHSTGDGIPDRFSGSSSGADRYLSISNIQPEDEAIYICGVGDTIKE-QFVYVFGGGTK-VTVL | |||||||||||||
| 6 | 2ch8A1 | 0.14 | 0.10 | 3.38 | 0.38 | HHsearch | ---------------------------------VTAFLGERVTLTSYWRRVGPEIEVSWFKLGPGEEQVLIGRMHHDVIFIEWPFRGFFDIHR-SANTFFLVVTAANISHDGNYLCRMKLGETVTKQEHLSVV-------- | |||||||||||||
| 7 | 4fomA1 | 0.19 | 0.14 | 4.60 | 1.42 | FFAS-3D | ---------------------------IIVEPHVTAVWGKNVSLKCLIEVNETITQISWEKIHGKSSQTVAVHHPQYGFSVQGEYQGRVLFKNYSLNDATITLHNIGFSDSGKYICKAVTFPLGNAQSSTT------VTVL | |||||||||||||
| 8 | 2kh2B2 | 0.13 | 0.11 | 3.94 | 0.38 | EigenThreader | GGGSG---------------GGGSEVQLVESGGGLVQPGGSLRLSCAASFDFSRYDMSWVRQAPGKRLEWVAYISSGGGSTYFPDTVKGRFTISRDNTLYLQMNSLRAEDTAVYYCARQNKKLQGTLVTVSSHHHHHH--- | |||||||||||||
| 9 | 3r8bB | 0.20 | 0.15 | 4.78 | 1.36 | CNFpred | ------------------------EAAVTQSPNKVAVTGEKVTLSCKQTNS-YFNNMYWYRQDTGHELRLIFMSHGIRNVEKGDIPDGYKASRPSQENFSLILELATPSQTSVYFCASGGG-GAGTRLSVLYG-------- | |||||||||||||
| 10 | 4pfeA | 0.13 | 0.11 | 3.95 | 1.17 | DEthreader | EGEGDATNGFSRYPDHMKIAQ---V-QLVESGGALVQPGGSLRLSCAASFPVNRYSMRWYRQAPG-KEREWVAGMSGDRSS-Y--EDSVKGRFTISRDVYLQMNSLKPEDTAVYYCNVNVEYWGGTQVTVS-H--H----- | |||||||||||||
| ||||||||||||||||||||
|
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. |