| >Q14002 (143 residues) MGSPSACPYRVCIPWQGLLLTASLLTFWNLPNSAQTNIDVVPFNVAEGKEVLLVVHNESQ NLYGYNWYKGERVHANYRIIGYVKNISQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGF YTLHVIKENLVNEEVTRQFYVFS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGSPSACPYRVCIPWQGLLLTASLLTFWNLPNSAQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGFYTLHVIKENLVNEEVTRQFYVFS |
| Prediction | CCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCCCCSSSCCCCCCCSSSCCCCCSSSSCCCCCCCSSSSSSSSSCCCSSSSSSSSSSSSC |
| Confidence | 99887776688544156899999998427876544788616885436843899826999873568896153468871899999389861335677678069717975799425722361799999957983899999999829 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGSPSACPYRVCIPWQGLLLTASLLTFWNLPNSAQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGFYTLHVIKENLVNEEVTRQFYVFS |
| Prediction | 86444343353313033102000001113342323030433344245443020203423732300211325435443200112144544334244234223135403020350346231301020235745444030304038 |
| 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 | CCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCCCCSSSCCCCCCCSSSCCCCCSSSSCCCCCCCSSSSSSSSSCCCSSSSSSSSSSSSC MGSPSACPYRVCIPWQGLLLTASLLTFWNLPNSAQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGFYTLHVIKENLVNEEVTRQFYVFS | |||||||||||||||||||
| 1 | 2fboJ | 0.13 | 0.12 | 4.09 | 1.17 | DEthreader | ------------KESFGFLALLRYWSVVLKPSNVHVST-AEVVQVDEGNDITMTCPCTDCANANVTWYTGPTTGTYQPLANKNQ--FGITWFSSEIAGRASFSGARNLVIRAAKITDAGRVWCELATGQGDADRSSTILKV-- | |||||||||||||
| 2 | 4y89A | 0.99 | 0.76 | 21.15 | 1.18 | SPARKS-K | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFYVF- | |||||||||||||
| 3 | 3ebaA | 0.14 | 0.10 | 3.59 | 0.45 | MapAlign | ---------------------------------QVQLVESGGGSVQAGGSLRLSCSAS-GYTYISGWFRQAPGKGLEWVAAIRSS-DGTTYYADSVKGRFTISQTVYLQMNSLKPEDTAMYYCAATEVAIYDYWGGTQVTVSS | |||||||||||||
| 4 | 2fboJ | 0.16 | 0.13 | 4.18 | 0.33 | CEthreader | -------------------------------SIMTVRTTHTEVEVHAGGTVELPCSYQLAQPPVISWLKGASPDRSTKVFKGNYNWQSYKESFGDFLGRASVLAAPTLRLTHVHPQDGGRYWCQVAQWSIGLDAKSVVLKVTG | |||||||||||||
| 5 | 4y89A | 0.99 | 0.76 | 21.15 | 1.19 | MUSTER | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFYVF- | |||||||||||||
| 6 | 4y89A | 0.99 | 0.76 | 21.15 | 0.36 | HHsearch | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFYVF- | |||||||||||||
| 7 | 4y89A | 0.99 | 0.76 | 21.15 | 1.87 | FFAS-3D | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFYVF- | |||||||||||||
| 8 | 2p1yA2 | 0.15 | 0.13 | 4.22 | 0.37 | EigenThreader | -------------SA-------DDAKKDAAKKDGQVRQSPQSLTVWEGETAILNCSYENSAFDYFPWYQQFPGEGPALLISILSVSDKKEDG------RFTIFKKLSLHIADSQPGDSATYFCAAIDNAYKVIFGGTHLHVLP | |||||||||||||
| 9 | 4y89A | 0.99 | 0.76 | 21.15 | 1.63 | CNFpred | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENAPGPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFYVF- | |||||||||||||
| 10 | 3cm9S | 0.12 | 0.11 | 3.94 | 1.17 | DEthreader | NYGRIRVVINQLRLKEHCLFSV--VI-TGLRKEDTIPRSPTVVKGVAGSSVAVLCPYNRESKSIKYWCLWEGAGRCPLLVDS------EGWVKAQYEGRLSLLEEFTVILNQLTSRDAGFYWCLTNG---LWRTTVEIKIIEG | |||||||||||||
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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. |