| >Q9UIR0 (142 residues) MVDFPGYNLSGAVASFLFILLTMKQSEDFRVIGPAHPILAGVGEDALLTCQLLPKRTTMH VEVRWYRSEPSTPVFVHRDGVEVTEMQMEEYRGWVEWIENGIAKGNVALKIHNIQPSDNG QYWCHFQDGNYCGETSLLLKVA |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MVDFPGYNLSGAVASFLFILLTMKQSEDFRVIGPAHPILAGVGEDALLTCQLLPKRTTMHVEVRWYRSEPSTPVFVHRDGVEVTEMQMEEYRGWVEWIENGIAKGNVALKIHNIQPSDNGQYWCHFQDGNYCGETSLLLKVA |
| Prediction | CCCCCCCCHHHHHHHHHHHHHHCCCCCSSSSSCCCCCSSSSCCCCSSSSSSSSCCCCCCCCSSSSSSCCCCCSSSSSSCCSSCCCCCCCCCCCCSSSSCCCCCCCSSSSSSCCCCHHHCSSSSSSSSSCCCCSSSSSSSSSC |
| Confidence | 9988886247899976565563155123999934984899749529998497389899853899998699964999969946254347100784387136776873999993576113789999999599741899999989 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MVDFPGYNLSGAVASFLFILLTMKQSEDFRVIGPAHPILAGVGEDALLTCQLLPKRTTMHVEVRWYRSEPSTPVFVHRDGVEVTEMQMEEYRGWVEWIENGIAKGNVALKIHNIQPSDNGQYWCHFQDGNYCGETSLLLKVA |
| Prediction | 6562333301331121001101143344040443663030313641444240315452741402322675641011022344345643551431131334516513010204604444523031204456444413034558 |
| 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 | CCCCCCCCHHHHHHHHHHHHHHCCCCCSSSSSCCCCCSSSSCCCCSSSSSSSSCCCCCCCCSSSSSSCCCCCSSSSSSCCSSCCCCCCCCCCCCSSSSCCCCCCCSSSSSSCCCCHHHCSSSSSSSSSCCCCSSSSSSSSSC MVDFPGYNLSGAVASFLFILLTMKQSEDFRVIGPAHPILAGVGEDALLTCQLLPKRTTMHVEVRWYRSEPSTPVFVHRDGVEVTEMQMEEYRGWVEWIENGIAKGNVALKIHNIQPSDNGQYWCHFQDGNYCGETSLLLKVA | |||||||||||||||||||
| 1 | 1moeA | 0.09 | 0.08 | 3.20 | 1.17 | DEthreader | DIAGESVG-TGFT--LI--IDPVE-GGEVQLQQS-GAELVEPGASVKLSCTASG-FNIKDTYMHWVKQQGLEWIGRIDPNGNSKYVP-K-FQGKATITAD-TSSNTAYLQLTSLTSEDTAVYYCAPFYYVSAYWGGTSVTVS | |||||||||||||
| 2 | 4f80A1 | 0.44 | 0.36 | 10.51 | 1.26 | SPARKS-K | ---------------------------QFSVLGPSGPILAMVGEDADLPCHLFPTMSAETMELKWVSSSLRQVVNVYADGKEVEDRQSAPYRGRTSILRDGITAGKAALRIHNVTASDSGKYLCYFQDGDFYEKALVELKVA | |||||||||||||
| 3 | 4f80A | 0.44 | 0.36 | 10.51 | 0.53 | MapAlign | ---------------------------QFSVLGPSGPILAMVGEDADLPCHLFPTMSAETMELKWVSSSLRQVVNVYADGKEVEDRQSAPYRGRTSILRDGITAGKAALRIHNVTASDSGKYLCYFQDGDFYEKALVELKVA | |||||||||||||
| 4 | 4f80A1 | 0.44 | 0.36 | 10.51 | 0.46 | CEthreader | ---------------------------QFSVLGPSGPILAMVGEDADLPCHLFPTMSAETMELKWVSSSLRQVVNVYADGKEVEDRQSAPYRGRTSILRDGITAGKAALRIHNVTASDSGKYLCYFQDGDFYEKALVELKVA | |||||||||||||
| 5 | 4f80A1 | 0.44 | 0.36 | 10.51 | 1.25 | MUSTER | ---------------------------QFSVLGPSGPILAMVGEDADLPCHLFPTMSAETMELKWVSSSLRQVVNVYADGKEVEDRQSAPYRGRTSILRDGITAGKAALRIHNVTASDSGKYLCYFQDGDFYEKALVELKVA | |||||||||||||
| 6 | 4f80A1 | 0.44 | 0.36 | 10.51 | 0.43 | HHsearch | ---------------------------QFSVLGPSGPILAMVGEDADLPCHLFPTMSAETMELKWVSSSLRQVVNVYADGKEVEDRQSAPYRGRTSILRDGITAGKAALRIHNVTASDSGKYLCYFQDGDFYEKALVELKVA | |||||||||||||
| 7 | 4f80A1 | 0.44 | 0.36 | 10.51 | 1.87 | FFAS-3D | ---------------------------QFSVLGPSGPILAMVGEDADLPCHLFPTMSAETMELKWVSSSLRQVVNVYADGKEVEDRQSAPYRGRTSILRDGITAGKAALRIHNVTASDSGKYLCYFQDGDFYEKALVELKVA | |||||||||||||
| 8 | 2n7aA | 0.17 | 0.14 | 4.63 | 0.35 | EigenThreader | MEGDRQYG------------------DGYLLQVQE-LVTVQEGLSVHVPCSFSYPQDSDPVHGYWFRAGDRPPVATNN----PDREVQAETQGRFQLLG-DIWSNDCSLSIRDARKRDKGSYFFRLERGSMKWSYQLSVFVT | |||||||||||||
| 9 | 4f8qA | 0.44 | 0.36 | 10.51 | 1.71 | CNFpred | --------------------------LQFSVLGPSGPILAMVGEDADLPCHLFPTMSAETMELKWVSSSLRQVVNVYADGKEVEDRQSAPYRGRTSILRDGITAGKAALRIHNVTASDSGKYLCYFQDGDFYEKALVELKVA | |||||||||||||
| 10 | 7cu5B | 0.14 | 0.12 | 4.09 | 1.17 | DEthreader | VRYYGQGTT-VT--V--SS-GGGGS--DIQMTQSPSSLSASVGDRVTITCLASQ--TIG-TWLTWYQQKAPKLLIYTA---TSLADGV---PSRFSGS--GSG-TDFTLTISSLQPEDFATYYCQQVYSIPWTFGGTKVEIK | |||||||||||||
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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. |