| >Q6P9A2 (142 residues) DIIAYGVLQNSLKTDLCLDQGPDTENVPIMYICHGMTPQNVYYTSSQQIHVGILSPTVDD DDNRCLVDVNSRPRLIECSYAKAKRMKLHWQFSQGGPIQNRKSKRCLELQENSDLEFGFQ LVLQKCSGQHWSITNVLRSLAS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DIIAYGVLQNSLKTDLCLDQGPDTENVPIMYICHGMTPQNVYYTSSQQIHVGILSPTVDDDDNRCLVDVNSRPRLIECSYAKAKRMKLHWQFSQGGPIQNRKSKRCLELQENSDLEFGFQLVLQKCSGQHWSITNVLRSLAS |
| Prediction | CCCSSSSSSSCCCCCCCSSCCCCCCCCSSSSCCCCCCCCSSSSSCCCSSSSCCCCCCCCCCCCCCSCCCCCCCSSSCCCCCCCCCCCSSSSSCCCCCSSSCCCCCSSSSCCCCCCCCCCCSSSSCCCCCSSSSSSSSCCCCC |
| Confidence | 9622357871588882351489999837996378997646999558429973554322367776524789931998375566777413789819971883888961765056777787317996299966998865324579 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | DIIAYGVLQNSLKTDLCLDQGPDTENVPIMYICHGMTPQNVYYTSSQQIHVGILSPTVDDDDNRCLVDVNSRPRLIECSYAKAKRMKLHWQFSQGGPIQNRKSKRCLELQENSDLEFGFQLVLQKCSGQHWSITNVLRSLAS |
| Prediction | 8532304021453552020335576330001001433443031335220212434443546653113364650313405654565252304146734032453430131354664642230102406403030312243348 |
| 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 | CCCSSSSSSSCCCCCCCSSCCCCCCCCSSSSCCCCCCCCSSSSSCCCSSSSCCCCCCCCCCCCCCSCCCCCCCSSSCCCCCCCCCCCSSSSSCCCCCSSSCCCCCSSSSCCCCCCCCCCCSSSSCCCCCSSSSSSSSCCCCC DIIAYGVLQNSLKTDLCLDQGPDTENVPIMYICHGMTPQNVYYTSSQQIHVGILSPTVDDDDNRCLVDVNSRPRLIECSYAKAKRMKLHWQFSQGGPIQNRKSKRCLELQENSDLEFGFQLVLQKCSGQHWSITNVLRSLAS | |||||||||||||||||||
| 1 | 2ihoA | 0.11 | 0.11 | 3.78 | 1.33 | DEthreader | -RRGIYHIENAGV-PSAIDLKGSSGTPIVGWQFTINWHQLWLAEPIDTFTLCNLFS------GTYMDLYSTAVNGWQGTAFT-TNPHQLWTIKKSYKIQNYGSKTFVDLVNGDS-SDGAKIAGWTGTNQKWYFNRMSVSGEG | |||||||||||||
| 2 | 5nqaA2 | 0.21 | 0.18 | 5.83 | 1.69 | SPARKS-K | EDRWHGAIRSRGISSECLDYNNPTGANLSLFGCHGQGNQFFEYTSNKEIRFN-------SVTELCAEVPKNYVGMQNCPKDGFPVPNIIWHFKEDGTIFHPHSGLCLSAYRTPEGR--PDVQMRTCDAQIWSFEK------- | |||||||||||||
| 3 | 2vseA2 | 0.10 | 0.09 | 3.36 | 0.53 | MapAlign | NFTGYFNISSKKNFNKIITMNS-NKTQAVIFDNIGINNQSWKLKYKNAYQIHI--------LDNFLYFQGGIVATMRN--VTNDDLRSYWYVEDGFIIRNAFDSYVLDVFQ-GNFANNTPIITYQNDNQLWNFIPSLG---- | |||||||||||||
| 4 | 1ybiA2 | 0.15 | 0.13 | 4.51 | 0.43 | CEthreader | LNNFTCKISPILDLNKVVQQVDVTNLNVNLYTWDYGRNQKWTIRYNEAYQFFNT-----ILSNGVLTWIGNTVRVSSS--NDQNNDAQYWLINPVYTITNLRTTKALDLYGGQT-ANGTAIQVFNYHGQKWNIRNP------ | |||||||||||||
| 5 | 5nqaA2 | 0.21 | 0.19 | 6.02 | 1.47 | MUSTER | RPGWHGAIRSRGISSECLDYNNPTGANLSLFGCHGGGNQFFEYTSNKEIRFN-------SVTELCAEVPENYVGMQNCPKDFPVPANIIWHFKEDGTIFHPHSGLCLSAYRTP--EGRPDVQMRTCDAQIWSFEK------- | |||||||||||||
| 6 | 3a23A | 0.23 | 0.19 | 5.97 | 1.47 | HHsearch | PGTNGALVTGKQ-SGRCADIYNNNGTQAELWDCNGGPNQSWTYTSRKELVLY---------GNKCLDAYNTKVVIWDCNGQ----ANQKWNINSDGTITNVNAGLCLDAYNAATAN-GTSLVLWSCGTQKWTVT-------- | |||||||||||||
| 7 | 6pxuA2 | 0.25 | 0.21 | 6.56 | 1.34 | FFAS-3D | ---FFGMLQNKGLTDYCFDYNPPDGHQVILYLCHGMGQNQFEYTSQKEIRYNTHQPE----GCIAVEAGMDTLIMHLCEETAPENQK--FILQEDGSLFHEQSKKCVQAARSF------VPLLRDCTNQKWFFKERM----- | |||||||||||||
| 8 | 5nqaA2 | 0.21 | 0.18 | 5.83 | 0.97 | EigenThreader | RPGWHGAIRSRGISSECLDYNSPPTGALSLFGCHGQGNQFFEYTSNKEIRFNS-------VTELCAEVPKNYVGMQNCPKDGFPVPNIIWHFKEDGTIFHPHSGLCLSAYRTP--EGRPDVQMRTCDAQIWSFEK------- | |||||||||||||
| 9 | 1hwmB | 0.17 | 0.14 | 4.64 | 2.06 | CNFpred | --PIATLIVGY--NEMCLQANGE-NNNVWMEDCDVSVQQQWALFDDRTIRVNN-------SRGLCVTSNGDLIVIRKCQG----LATQRWFFNSDGSVVNLKSTRVMDVKESDVS--LQEVIIFPA-NQQWRTQVPQI---- | |||||||||||||
| 10 | 2vseA2 | 0.10 | 0.08 | 3.17 | 1.33 | DEthreader | NFTGYFNISSKKNFNKIITMNSNKT-QAVIFDNIGINNQSWKLKYNNAYQIHI-L-------DNFLYFQGGNVATMR-NVTND-DLRSYWYVEYNFIIRNAFDTYVLDVFQGNFA-NNTPIITYQNYLQLWNFIPSL-G--- | |||||||||||||
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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. |