| >Q15238 (143 residues) MGPLSAPPCTQHITWKGLLLTASLLNFWNLPITAQVTIEALPPKVSEGKDVLLLVHNLPQ NLAGYIWYKGQLMDLYHYITSYVVDGQINIYGPAYTGRETVYSNASLLIQNVTREDAGSY TLHIIKRGDRTRGVTGYFTFNLY |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGPLSAPPCTQHITWKGLLLTASLLNFWNLPITAQVTIEALPPKVSEGKDVLLLVHNLPQNLAGYIWYKGQLMDLYHYITSYVVDGQINIYGPAYTGRETVYSNASLLIQNVTREDAGSYTLHIIKRGDRTRGVTGYFTFNLY |
| Prediction | CCCCCCCCCCCCCCCCCHHHHHHHHHHCCCCCCCSSSSSCCCCCCCCCCSSSSSSCCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCCCCSSCCCCCCCSSSCCCCCSSSSCCCCCCCSSSSSSSSSCCCCSSSSSSSSSSSSC |
| Confidence | 99887787788755410677878987327876524788616886434744899816999875033586144357762799998388730036776680787289858995257211578999999679918999999999839 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGPLSAPPCTQHITWKGLLLTASLLNFWNLPITAQVTIEALPPKVSEGKDVLLLVHNLPQNLAGYIWYKGQLMDLYHYITSYVVDGQINIYGPAYTGRETVYSNASLLIQNVTREDAGSYTLHIIKRGDRTRGVTGYFTFNLY |
| Prediction | 86444343353423032000000001313341314030544345245444020203423742412312324424453201111244544342432332231355030203503462103020202456454443303030336 |
| 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 | CCCCCCCCCCCCCCCCCHHHHHHHHHHCCCCCCCSSSSSCCCCCCCCCCSSSSSSCCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCCCCSSCCCCCCCSSSCCCCCSSSSCCCCCCCSSSSSSSSSCCCCSSSSSSSSSSSSC MGPLSAPPCTQHITWKGLLLTASLLNFWNLPITAQVTIEALPPKVSEGKDVLLLVHNLPQNLAGYIWYKGQLMDLYHYITSYVVDGQINIYGPAYTGRETVYSNASLLIQNVTREDAGSYTLHIIKRGDRTRGVTGYFTFNLY | |||||||||||||||||||
| 1 | 1moeA | 0.15 | 0.13 | 4.50 | 1.17 | DEthreader | --------TQSPA-SLAVSQRATIDPV-GGGGEVQLQQSG-AELVEPGASVKLSCTASGFNITYMHWVKQRPEQGLEWIGRIDPANNSKYVPK-FQGKATITADAYLQLTSLTSEDTAVYYCAPFGYVSMAYWGGTSVTVSS- | |||||||||||||
| 2 | 4y89A | 0.50 | 0.38 | 10.95 | 1.12 | SPARKS-K | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENPGPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFYVF-- | |||||||||||||
| 3 | 4y89A | 0.50 | 0.38 | 10.95 | 1.80 | FFAS-3D | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENPGPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFY--VF | |||||||||||||
| 4 | 4wtzG | 0.55 | 0.41 | 11.90 | 1.55 | CNFpred | ----------------------------------QLTIEAVPSNAAEGKEVLLLVHNLPQDPRGYNWYKGETVDANRRIIGYVISNQQITPGPAYSNRETIYPNASLLMRNVTRNDTGSYTLQVIKLNLMSEEVTGQFSVHC- | |||||||||||||
| 5 | 5fcsH | 0.12 | 0.10 | 3.73 | 1.17 | DEthreader | -----------TNKR-RFSGSLTITGAQADETEVQLVQS-GAEVKKPGASVKVSCKASYTFSYGISWVRQAPGQGLEWMGWISANGNTNYAQ-KLQGRVTMTTDAYMELRSLRSDDTAVYYCATIDTAAFDIWGGTMVTVSSG | |||||||||||||
| 6 | 2dksA | 0.52 | 0.43 | 12.34 | 1.04 | SPARKS-K | -------------------------GSSGSSGTAQLTIEAVPSNAAEGKEVLLLVHNLPQDPRGYNWYKGETVDANRRIIGYVISNQQITPGPAYSNRETIYPNASLLMRNVTRNDTGSYTLQVIKLNLMSEEVTGQFSVHPE | |||||||||||||
| 7 | 3ebaA | 0.13 | 0.10 | 3.40 | 0.45 | MapAlign | --------------------------------QVQLVESG-GGSVQAGGSLRLSCSASG-YTYISGWFRQAPGKGLEWVAAIRSSDGTTYYADSVKGRFTISQTVYLQMNSLKPEDTAMYYCAATEVAIYDYWGGTQVTVSS- | |||||||||||||
| 8 | 7k0xD1 | 0.11 | 0.08 | 3.05 | 0.33 | CEthreader | -------------------------------TGVALEQRPISITRNAKQSASLNCKILNPVSDYVHWYRSQEGRAPERLLVYSRSSESVPDPGFSADKVRAYKTCRLIVSDLQVSDSGVYHCASWDGRVKVFGEGTRLIVTES | |||||||||||||
| 9 | 2dksA | 0.52 | 0.43 | 12.34 | 0.89 | MUSTER | -------------------------GSSGSSGTAQLTIEAVPSNAAEGKEVLLLVHNLPQDPRGYNWYKGETVDANRRIIGYVISNQQITPGPAYSNRETIYPNASLLMRNVTRNDTGSYTLQVIKLNLMSEEVTGQFSVHPE | |||||||||||||
| 10 | 4y89A | 0.52 | 0.39 | 11.33 | 0.36 | HHsearch | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNIQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFYVF-- | |||||||||||||
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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. |